Bisect provider-rejected batches in triage and deep assessment

DeepSeek's content filter rejects a whole request (400 "Content Exists
Risk") when one article trips it, which cost the other articles in the
batch their assessment and retried them every run. New curate/batch.rs
runs both stages through a bisecting runner: a rejected batch is split
until the offending article is isolated, that article is retried once on
the editor provider when it is a different one, and a still-rejected
article is recorded as a provider_rejected assessment row so it is not
retried for assessment_reuse_days. Cache reuse accepts rows from either
configured model. Each stage logs reused/requested/rejected counts, the
curation: line shows rejections when non-zero, explain prints them, and
the llm_assess span reports the deep-set size.

Implemented by a Claude agent from an orchestrator brief; verified
fmt/clippy(-W dead_code)/test green (354 lib tests).

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01A1rCLQeKBgnBo3oTgHuTMe

src/curate/admit.rs

@@ -494,4 +494,49 @@ mod tests {
         .expect("thin row");
         assert_eq!(reason, "recently_rejected");
     }
+
+    #[tokio::test]
+    async fn provider_rejected_rows_do_not_mark_an_article_recently_rejected() {
+        let dir = tempfile::tempdir().expect("tempdir");
+        let db = Db::open_and_migrate(&dir.path().join("hygiene.db"))
+            .await
+            .expect("db");
+        sqlx::query(
+            "INSERT INTO articles (id, canonical_url, title, first_seen) VALUES
+             (1, 'https://example.com/1', 'Refused', '2026-09-02T00:00:00Z')",
+        )
+        .execute(db.pool())
+        .await
+        .expect("article");
+        sqlx::query(
+            "INSERT INTO article_assessments
+             (article_id, stage, model, prompt_version, score, fit, kind, rationale, assessed_at)
+             VALUES (1, 'triage', 'model', 1, NULL, NULL, 'provider_rejected',
+                     'deepseek: Content Exists Risk', '2026-09-02T04:00:00Z'),
+                    (1, 'deep', 'model', 1, NULL, NULL, 'provider_rejected',
+                     'deepseek: Content Exists Risk', '2026-09-02T04:00:00Z')",
+        )
+        .execute(db.pool())
+        .await
+        .expect("rejection rows");
+        let run_id = db
+            .start_run(
+                "2026-09-02".parse().expect("date"),
+                "2026-09-02T05:30:00Z".parse().expect("timestamp"),
+            )
+            .await
+            .expect("run");
+        let eligible = hygiene(
+            &db,
+            run_id,
+            vec![article(1, "Refused", 500)],
+            "2026-09-02".parse().expect("date"),
+            &CurationConfig::default(),
+            "2026-09-02T05:30:00Z".parse().expect("timestamp"),
+        )
+        .await
+        .expect("hygiene");
+        assert_eq!(eligible.len(), 1, "a NULL score is not a low score");
+        assert_eq!(eligible[0].article.id, 1);
+    }
 }

src/curate/assess.rs

@@ -3,12 +3,13 @@
 use std::collections::{HashMap, HashSet};
 use std::fmt::Write as _;
 
-use futures::{StreamExt, stream};
 use jiff::Timestamp;
 use serde_json::Value;
 use sqlx::Row as _;
 
+use super::batch::{Assessed, BatchRunner, Scored, StageSummary, run_batches};
 use super::llm::{LlmClient, strip_code_fence};
+use super::triage::{PROVIDER_REJECTED, reusable_models, write_rejection};
 use super::{prompt_text, truncate_words};
 use crate::db::{Db, fmt_ts, parse_ts};
 use crate::types::{ArticleId, Candidate, Deep, Facets};
@@ -316,10 +317,24 @@ fn as_bool(value: &Value) -> Option<bool> {
     })
 }
 
+impl Assessed for DeepItem {
+    fn article_id(&self) -> ArticleId {
+        self.id
+    }
+}
+
+/// Assess the admitted set on `llm` (cache only when `None`), bisecting
+/// rejected batches and retrying rejected singles on `fallback` when it is
+/// another provider (see [`super::batch`]).
+///
+/// Cached rows written by either configured model are reused; a fresh
+/// `provider_rejected` row skips the article and leaves its deep assessment
+/// absent, so ranking falls back to the present signals (§12.3).
 #[allow(clippy::too_many_arguments)]
 pub async fn run(
     db: &Db,
     llm: Option<&LlmClient>,
+    fallback: Option<&LlmClient>,
     model: &str,
     candidates: &mut [Candidate],
     batch_size: usize,
@@ -330,22 +345,31 @@ pub async fn run(
     assessed_at: Timestamp,
     temperature: f32,
     sections: &[String],
-) -> anyhow::Result<usize> {
+) -> anyhow::Result<StageSummary> {
     let positions = candidates
         .iter()
         .enumerate()
         .filter(|(_, candidate)| candidate.stage == "admitted")
         .map(|(index, candidate)| (candidate.article.id, index))
         .collect::<HashMap<_, _>>();
+    let mut summary = StageSummary {
+        stage: "assess",
+        pool: positions.len(),
+        ..StageSummary::default()
+    };
+    let mut known_rejected = HashSet::new();
     if !rescore && !positions.is_empty() {
         let since = assessed_at - jiff::Span::new().hours(assessment_reuse_days.max(0) * 24);
+        let models = reusable_models(model, fallback);
         let rows = sqlx::query(
-            "SELECT article_id, score, fit, kind, facets_json, rationale, category,
+            "SELECT article_id, model, score, fit, kind, facets_json, rationale, category,
                     paywalled_guess, assessed_at
              FROM article_assessments
-             WHERE stage = 'deep' AND model = ? AND prompt_version = ? AND assessed_at >= ?",
+             WHERE stage = 'deep' AND model IN (?, ?) AND prompt_version = ?
+               AND assessed_at >= ?",
         )
-        .bind(model)
+        .bind(models[0])
+        .bind(models[1])
         .bind(DEEP_PROMPT_VERSION)
         .bind(fmt_ts(since))
         .fetch_all(db.pool())
@@ -355,6 +379,10 @@ pub async fn run(
             let Some(index) = positions.get(&id).copied() else {
                 continue;
             };
+            if row.get::<Option<String>, _>("kind").as_deref() == Some(PROVIDER_REJECTED) {
+                known_rejected.insert(id);
+                continue;
+            }
             let (Some(quality), Some(fit)) = (
                 row.get::<Option<f64>, _>("score"),
                 row.get::<Option<f64>, _>("fit"),
@@ -376,52 +404,47 @@ pub async fn run(
                     .unwrap_or_default(),
                 paywalled_guess: row.get::<i64, _>("paywalled_guess") != 0,
                 facets,
-                model: model.to_string(),
+                model: row.get::<String, _>("model"),
                 prompt_version: DEEP_PROMPT_VERSION,
                 assessed_at: parse_ts(
                     "article_assessments.assessed_at",
                     &row.get::<String, _>("assessed_at"),
                 )?,
             });
+            summary.reused += 1;
         }
     }
+    summary.known_rejected = known_rejected.len();
 
     let pending = candidates
         .iter()
-        .filter(|candidate| candidate.stage == "admitted" && candidate.assessment.deep.is_none())
+        .filter(|candidate| {
+            candidate.stage == "admitted"
+                && candidate.assessment.deep.is_none()
+                && !known_rejected.contains(&candidate.article.id)
+        })
         .collect::<Vec<_>>();
     if let Some(llm) = llm {
-        let prompts = pending
+        summary.requested = pending.len();
+        let batches = pending
             .chunks(batch_size.max(1))
-            .map(|batch| {
-                let allowed = batch
-                    .iter()
-                    .map(|candidate| candidate.article.id)
-                    .collect::<HashSet<_>>();
-                (allowed, build_batch_prompt(batch, sections))
-            })
+            .map(<[&Candidate]>::to_vec)
             .collect::<Vec<_>>();
-        let results = stream::iter(prompts)
-            .map(|(allowed, prompt)| async move {
-                if let Err(error) = llm.meter.check_budget() {
-                    tracing::warn!(%error, "bulk budget tripped; skipping deep batch");
-                    return Vec::new();
-                }
-                match llm.complete(&prompt, temperature, true).await {
-                    Ok(raw) => parse_deep_response(&raw, sections)
-                        .into_iter()
-                        .filter(|item| allowed.contains(&item.id))
-                        .collect(),
-                    Err(error) => {
-                        tracing::warn!(%error, "deep batch failed; its articles remain unassessed");
-                        Vec::new()
-                    }
-                }
-            })
-            .buffer_unordered(max_concurrent_requests.max(1))
-            .collect::<Vec<Vec<DeepItem>>>()
-            .await;
-        for item in results.into_iter().flatten() {
+        summary.batches = batches.len();
+        let build_prompt = |batch: &[&Candidate]| build_batch_prompt(batch, sections);
+        let parse = |raw: &str| parse_deep_response(raw, sections);
+        let runner = BatchRunner {
+            llm,
+            fallback,
+            temperature,
+            build_prompt: &build_prompt,
+            parse: &parse,
+        };
+        summary.fallback_provider = runner.fallback_provider();
+        let outcome = run_batches(&runner, batches, max_concurrent_requests).await;
+        summary.rejected = outcome.rejected;
+        summary.recovered = outcome.recovered;
+        for Scored { item, model } in outcome.items {
             let Some(index) = positions.get(&item.id).copied() else {
                 continue;
             };
@@ -432,7 +455,7 @@ pub async fn run(
                 rationale: item.rationale,
                 paywalled_guess: item.paywalled_guess,
                 facets: item.facets,
-                model: model.to_string(),
+                model,
                 prompt_version: DEEP_PROMPT_VERSION,
                 assessed_at,
             };
@@ -450,7 +473,7 @@ pub async fn run(
                      paywalled_guess = excluded.paywalled_guess, assessed_at = excluded.assessed_at",
             )
             .bind(item.id)
-            .bind(model)
+            .bind(&deep.model)
             .bind(DEEP_PROMPT_VERSION)
             .bind(profile_version)
             .bind(deep.quality)
@@ -464,6 +487,19 @@ pub async fn run(
             .execute(db.pool())
             .await?;
             candidates[index].assessment.deep = Some(deep);
+            summary.applied += 1;
+        }
+        for rejection in &outcome.rejections {
+            write_rejection(
+                db,
+                "deep",
+                rejection,
+                model,
+                DEEP_PROMPT_VERSION,
+                profile_version,
+                assessed_at,
+            )
+            .await?;
         }
     }
     for candidate in candidates
@@ -472,17 +508,16 @@ pub async fn run(
     {
         candidate.stage = "assessed".into();
     }
-    Ok(candidates
-        .iter()
-        .filter(|candidate| candidate.assessment.deep.is_some())
-        .count())
+    tracing::info!("{}", summary.info_line());
+    Ok(summary)
 }
 
 #[cfg(test)]
 mod tests {
     use super::*;
     use crate::config::{CurationConfig, ProviderConfig};
-    use crate::curate::llm::{MockBackend, PriceTable, UsageMeter};
+    use crate::curate::batch::tests::{FilterBackend, deep_answer_for};
+    use crate::curate::llm::{ChatBackend, MockBackend, PriceTable, UsageMeter};
     use crate::curate::prefilter::tests::{article, with_social};
     use crate::curate::signals::{Neighbour, TopInterest};
     use crate::types::{TokenUsage, Triage};
@@ -555,6 +590,7 @@ mod tests {
         run(
             db,
             llm,
+            None,
             "deepseek-v4-flash",
             candidates,
             batch_size,
@@ -568,6 +604,7 @@ mod tests {
         )
         .await
         .expect("deep assessment never aborts the run")
+        .assessed()
     }
 
     #[test]
@@ -951,6 +988,7 @@ mod tests {
         let assessed = run(
             &db,
             Some(&llm),
+            None,
             "deepseek-v4-flash",
             &mut candidates,
             1,
@@ -963,7 +1001,8 @@ mod tests {
             &sections(),
         )
         .await
-        .expect("assessment");
+        .expect("assessment")
+        .assessed();
         assert_eq!(assessed, 1, "only the first batch ran");
         assert_eq!(backend.calls(), 1);
         assert!(llm.meter.budget_exceeded());
@@ -1032,6 +1071,7 @@ mod tests {
         run(
             &db,
             None,
+            None,
             "other-model",
             &mut other_model,
             8,
@@ -1054,6 +1094,7 @@ mod tests {
         run(
             &db,
             None,
+            None,
             "deepseek-v4-flash",
             &mut stale_prompt,
             8,
@@ -1079,6 +1120,7 @@ mod tests {
         run(
             &db,
             None,
+            None,
             "deepseek-v4-flash",
             &mut old,
             8,
@@ -1117,4 +1159,166 @@ mod tests {
                 .expect("row");
         assert_eq!(stored, 4.0);
     }
+
+    fn named_client(provider: &str, model: &str, backend: Arc<dyn ChatBackend>) -> LlmClient {
+        LlmClient::with_backend_options(
+            provider,
+            model,
+            "SYSTEM".into(),
+            None,
+            UsageMeter::with_prices(PriceTable::from(&ProviderConfig::deepseek()), 10.0),
+            backend,
+        )
+    }
+
+    fn titled(n: i64) -> Vec<Candidate> {
+        (1..=n)
+            .map(|id| {
+                let mut c = candidate(id, 900);
+                c.article.title = format!("Piece {id}");
+                c
+            })
+            .collect()
+    }
+
+    async fn assess_with(
+        db: &Db,
+        llm: &LlmClient,
+        fallback: Option<&LlmClient>,
+        candidates: &mut [Candidate],
+        rescore: bool,
+        at: Timestamp,
+    ) -> StageSummary {
+        run(
+            db,
+            Some(llm),
+            fallback,
+            "deepseek-v4-flash",
+            candidates,
+            4,
+            4,
+            3,
+            rescore,
+            Some(1),
+            at,
+            0.3,
+            &sections(),
+        )
+        .await
+        .expect("deep assessment never aborts the run")
+    }
+
+    #[tokio::test]
+    async fn rejected_deep_batches_are_bisected_and_rejections_persisted() {
+        let (_dir, db) = db_with_articles(&[1, 2, 3, 4]).await;
+        let backend = FilterBackend::deep(&["Piece 3"]);
+        let llm = named_client("deepseek", "deepseek-v4-flash", backend.clone());
+        let mut candidates = titled(4);
+        let summary = assess_with(&db, &llm, None, &mut candidates, false, timestamp()).await;
+        assert_eq!(backend.calls(), 5);
+        assert_eq!(summary.assessed(), 3);
+        assert_eq!((summary.rejected, summary.recovered), (1, 0));
+        assert_eq!(
+            summary.info_line(),
+            "assess: 4 in pool · 0 reused · 4 requested in 1 batches · 1 rejected"
+        );
+        assert!(candidates[2].assessment.deep.is_none());
+        assert_eq!(
+            candidates[2].stage, "admitted",
+            "kept for present-signal ranking"
+        );
+        assert!(candidates[0].assessment.deep.is_some());
+        let row = sqlx::query(
+            "SELECT model, score, fit, kind, rationale, facets_json FROM article_assessments
+             WHERE article_id = 3 AND stage = 'deep'",
+        )
+        .fetch_one(db.pool())
+        .await
+        .expect("rejection row");
+        assert_eq!(row.get::<String, _>("model"), "deepseek-v4-flash");
+        assert_eq!(row.get::<Option<f64>, _>("score"), None);
+        assert_eq!(row.get::<Option<f64>, _>("fit"), None);
+        assert_eq!(
+            row.get::<Option<String>, _>("kind").as_deref(),
+            Some(PROVIDER_REJECTED)
+        );
+        assert!(
+            row.get::<Option<String>, _>("rationale")
+                .is_some_and(|why| why.starts_with("deepseek: 400 Bad Request"))
+        );
+        assert_eq!(row.get::<Option<String>, _>("facets_json"), None);
+
+        // Honoured next run, ignored under --rescore.
+        let mut cached = titled(4);
+        let summary = assess_with(&db, &llm, None, &mut cached, false, timestamp()).await;
+        assert_eq!(backend.calls(), 5);
+        assert_eq!(
+            (summary.reused, summary.known_rejected, summary.requested),
+            (3, 1, 0)
+        );
+        assert_eq!(summary.rejected_total(), 1);
+        assert!(cached[2].assessment.deep.is_none());
+        let mut rescored = titled(4);
+        let summary = assess_with(&db, &llm, None, &mut rescored, true, timestamp()).await;
+        assert_eq!(summary.requested, 4);
+        assert_eq!(backend.calls(), 10);
+
+        // Expired: retried (and rejected again).
+        let later = timestamp() + jiff::Span::new().hours(4 * 24);
+        let mut expired = titled(4);
+        let summary = assess_with(&db, &llm, None, &mut expired, false, later).await;
+        assert_eq!(summary.known_rejected, 0);
+        assert_eq!(summary.requested, 4);
+    }
+
+    #[tokio::test]
+    async fn deep_fallback_rows_carry_the_editor_model_and_are_reused() {
+        let (_dir, db) = db_with_articles(&[1, 2]).await;
+        let backend = FilterBackend::deep(&["Piece 2"]);
+        let llm = named_client("deepseek", "deepseek-v4-flash", backend.clone());
+        let editor_backend = Arc::new(MockBackend::new());
+        editor_backend.push(deep_answer_for(&[2]), TokenUsage::default());
+        let editor = named_client("anthropic", "claude-opus-5", editor_backend.clone());
+        let mut candidates = titled(2);
+        let summary = assess_with(
+            &db,
+            &llm,
+            Some(&editor),
+            &mut candidates,
+            false,
+            timestamp(),
+        )
+        .await;
+        assert_eq!(editor_backend.calls(), 1);
+        assert_eq!(
+            editor_backend.prompts()[0].user,
+            backend.prompts_for_single(2),
+            "the same single-article prompt"
+        );
+        assert_eq!((summary.rejected, summary.recovered), (1, 1));
+        assert_eq!(summary.assessed(), 2);
+        let deep = candidates[1].assessment.deep.as_ref().expect("recovered");
+        assert_eq!(deep.model, "claude-opus-5");
+        assert_eq!(candidates[1].stage, "assessed");
+        let rejected: i64 = sqlx::query_scalar(
+            "SELECT COUNT(*) FROM article_assessments WHERE kind = 'provider_rejected'",
+        )
+        .fetch_one(db.pool())
+        .await
+        .expect("count");
+        assert_eq!(rejected, 0);
+
+        let mut cached = titled(2);
+        let summary = assess_with(&db, &llm, Some(&editor), &mut cached, false, timestamp()).await;
+        assert_eq!(summary.reused, 2, "the editor's row is reusable");
+        assert_eq!(
+            cached[1]
+                .assessment
+                .deep
+                .as_ref()
+                .map(|deep| deep.model.as_str()),
+            Some("claude-opus-5")
+        );
+        assert_eq!(backend.calls(), 3);
+    }
 }

src/curate/batch.rs

@@ -0,0 +1,839 @@
+//! Bisecting batch runner shared by triage and deep assessment.
+//!
+//! DeepSeek's input content filter rejects a whole request when any one
+//! article in the batch trips it (`400 Content Exists Risk`) and does not say
+//! which. Sending the batch once and giving up cost every other article its
+//! assessment and retried them all the next day. Instead, a batch that fails
+//! with a non-transient error is split in half and both halves are sent
+//! again, down to single articles. A single article that still fails is
+//! "rejected": it is retried once on the editor client when that runs on a
+//! different provider, and otherwise reported so the caller can persist a
+//! `provider_rejected` row and stop asking (§10, §12.1, §17).
+//!
+//! Transient errors are retried inside [`LlmClient::complete`] and, once
+//! exhausted, leave the batch unassessed as before; a budget trip stops the
+//! stage. Concurrency is the caller's `max_concurrent_requests` across the
+//! original batches; the bisection inside one batch runs sequentially.
+
+use std::collections::HashSet;
+
+use futures::{StreamExt, stream};
+
+use super::llm::{LlmClient, LlmError};
+use crate::types::{ArticleId, Candidate};
+
+/// Longest rejection message kept in `article_assessments.rationale`.
+pub const REJECTION_MESSAGE_CHARS: usize = 200;
+
+/// A parsed per-article item the runner can attribute to a candidate.
+pub trait Assessed {
+    fn article_id(&self) -> ArticleId;
+}
+
+/// One stage's prompt builder, parser and clients.
+pub struct BatchRunner<'a, T> {
+    /// The bulk client every batch goes to first.
+    pub llm: &'a LlmClient,
+    /// The editor client, tried once per rejected article when it runs on a
+    /// different provider than `llm` and its meter is not tripped.
+    pub fallback: Option<&'a LlmClient>,
+    pub temperature: f32,
+    pub build_prompt: &'a (dyn Fn(&[&Candidate]) -> String + Sync),
+    pub parse: &'a (dyn Fn(&str) -> Vec<T> + Sync),
+}
+
+impl<T> BatchRunner<'_, T> {
+    /// The editor client when it is a real alternative to the bulk one.
+    pub fn usable_fallback(&self) -> Option<&LlmClient> {
+        self.fallback
+            .filter(|fallback| fallback.provider() != self.llm.provider())
+            .filter(|fallback| fallback.meter.check_budget().is_ok())
+    }
+
+    /// The name of the provider rejected articles are retried on, if any.
+    pub fn fallback_provider(&self) -> Option<String> {
+        self.fallback
+            .filter(|fallback| fallback.provider() != self.llm.provider())
+            .map(|fallback| fallback.provider().to_string())
+    }
+}
+
+/// An item together with the model that produced it (bulk or editor).
+#[derive(Debug, Clone, PartialEq)]
+pub struct Scored<T> {
+    pub item: T,
+    pub model: String,
+}
+
+/// A single article both the bulk provider and the fallback refused.
+#[derive(Debug, Clone, PartialEq, Eq)]
+pub struct Rejection {
+    pub id: ArticleId,
+    /// The bulk provider's name.
+    pub provider: String,
+    /// The bulk provider's message, at most [`REJECTION_MESSAGE_CHARS`] long.
+    pub message: String,
+}
+
+impl Rejection {
+    /// `<provider>: <message>`, the `rationale` of a `provider_rejected` row.
+    pub fn rationale(&self) -> String {
+        format!("{}: {}", self.provider, self.message)
+    }
+}
+
+/// What a set of batches produced.
+#[derive(Debug, Clone, PartialEq)]
+pub struct BatchOutcome<T> {
+    pub items: Vec<Scored<T>>,
+    /// Articles nobody would assess; the caller persists these.
+    pub rejections: Vec<Rejection>,
+    /// Single articles the bulk provider rejected, recovered or not.
+    pub rejected: usize,
+    /// Of `rejected`, those the fallback client assessed.
+    pub recovered: usize,
+    /// Requests made on the bulk client.
+    pub requests: usize,
+    /// True when the bulk budget tripped and work was left undone.
+    pub budget_stopped: bool,
+}
+
+impl<T> Default for BatchOutcome<T> {
+    fn default() -> Self {
+        Self {
+            items: Vec::new(),
+            rejections: Vec::new(),
+            rejected: 0,
+            recovered: 0,
+            requests: 0,
+            budget_stopped: false,
+        }
+    }
+}
+
+impl<T> BatchOutcome<T> {
+    fn absorb(&mut self, other: Self) {
+        self.items.extend(other.items);
+        self.rejections.extend(other.rejections);
+        self.rejected += other.rejected;
+        self.recovered += other.recovered;
+        self.requests += other.requests;
+        self.budget_stopped |= other.budget_stopped;
+    }
+}
+
+/// The per-stage totals behind the `triage:` / `assess:` log line and the
+/// run report's `*_reused` / `*_rejected` counts.
+#[derive(Debug, Clone, Default, PartialEq, Eq)]
+pub struct StageSummary {
+    pub stage: &'static str,
+    /// Articles the stage was responsible for this run.
+    pub pool: usize,
+    /// Served from cached rows within `assessment_reuse_days`.
+    pub reused: usize,
+    /// Skipped because a `provider_rejected` row is still fresh.
+    pub known_rejected: usize,
+    /// Sent to the bulk provider.
+    pub requested: usize,
+    /// Original batches before any bisection.
+    pub batches: usize,
+    /// Assessments written this run (bulk and editor).
+    pub applied: usize,
+    /// Single articles the bulk provider rejected this run.
+    pub rejected: usize,
+    /// Of `rejected`, those the editor client assessed instead.
+    pub recovered: usize,
+    pub fallback_provider: Option<String>,
+}
+
+impl StageSummary {
+    /// Articles carrying this stage's assessment after the run.
+    pub fn assessed(&self) -> usize {
+        self.reused + self.applied
+    }
+
+    /// Articles without an assessment because a provider rejected them:
+    /// this run's unrecovered rejections plus the cached ones.
+    pub fn rejected_total(&self) -> usize {
+        self.known_rejected + self.rejected.saturating_sub(self.recovered)
+    }
+
+    /// `triage: 398 in pool · 210 reused · 188 requested in 8 batches · 3 rejected (2 recovered on gemini)`
+    pub fn info_line(&self) -> String {
+        let mut line = format!(
+            "{}: {} in pool · {} reused · {} requested in {} batches · {} rejected",
+            self.stage, self.pool, self.reused, self.requested, self.batches, self.rejected
+        );
+        if self.recovered > 0 {
+            line.push_str(&format!(
+                " ({} recovered on {})",
+                self.recovered,
+                self.fallback_provider.as_deref().unwrap_or("editor")
+            ));
+        }
+        if self.known_rejected > 0 {
+            line.push_str(&format!(" · {} known rejected", self.known_rejected));
+        }
+        line
+    }
+}
+
+/// Errors the provider will keep returning for the same input.
+fn is_rejection(error: &LlmError) -> bool {
+    matches!(
+        error,
+        LlmError::Api { .. } | LlmError::Refusal { .. } | LlmError::EmptyResponse { .. }
+    )
+}
+
+/// The provider's own words, without the `<provider> request failed:` prefix.
+fn rejection_message(error: &LlmError) -> String {
+    match error {
+        LlmError::Api { message, .. } => message.clone(),
+        LlmError::Refusal { .. } => "returned a refusal".into(),
+        LlmError::EmptyResponse { .. } => "returned an empty completion".into(),
+        other => other.to_string(),
+    }
+}
+
+fn truncate_chars(text: &str, max_chars: usize) -> String {
+    let collapsed = text.split_whitespace().collect::<Vec<_>>().join(" ");
+    if collapsed.chars().count() <= max_chars {
+        return collapsed;
+    }
+    let mut cut = collapsed
+        .chars()
+        .take(max_chars.saturating_sub(1))
+        .collect::<String>();
+    cut.push('…');
+    cut
+}
+
+enum Failure {
+    Rejected(String),
+    NoItems,
+}
+
+struct Work<'c> {
+    batch: Vec<&'c Candidate>,
+    /// A batch that parses to zero items is split once; its halves are not.
+    zero_split: bool,
+}
+
+/// Run every batch on the bulk client, `max_concurrent` in flight.
+pub async fn run_batches<T: Assessed>(
+    runner: &BatchRunner<'_, T>,
+    batches: Vec<Vec<&Candidate>>,
+    max_concurrent: usize,
+) -> BatchOutcome<T> {
+    let outcomes = stream::iter(batches)
+        .map(|batch| run_one(runner, batch))
+        .buffer_unordered(max_concurrent.max(1))
+        .collect::<Vec<_>>()
+        .await;
+    let mut merged = BatchOutcome::default();
+    for outcome in outcomes {
+        merged.absorb(outcome);
+    }
+    merged
+}
+
+/// One original batch, bisected as far as it needs to be.
+async fn run_one<T: Assessed>(
+    runner: &BatchRunner<'_, T>,
+    batch: Vec<&Candidate>,
+) -> BatchOutcome<T> {
+    let original = batch.len();
+    let provider = runner.llm.provider();
+    let mut out = BatchOutcome::default();
+    let mut warned = false;
+    // Explicit LIFO stack instead of recursion: the left half is pushed last
+    // so it runs first, which keeps the request order predictable.
+    let mut stack = vec![Work {
+        batch,
+        zero_split: true,
+    }];
+    while let Some(work) = stack.pop() {
+        if let Err(error) = runner.llm.meter.check_budget() {
+            tracing::warn!(%error, "bulk budget tripped; skipping the rest of the batch");
+            out.budget_stopped = true;
+            return out;
+        }
+        let size = work.batch.len();
+        let prompt = (runner.build_prompt)(&work.batch);
+        let allowed = work
+            .batch
+            .iter()
+            .map(|candidate| candidate.article.id)
+            .collect::<HashSet<_>>();
+        out.requests += 1;
+        let failure = match runner.llm.complete(&prompt, runner.temperature, true).await {
+            Ok(raw) => {
+                let items = (runner.parse)(&raw)
+                    .into_iter()
+                    .filter(|item| allowed.contains(&item.article_id()))
+                    .collect::<Vec<_>>();
+                if items.is_empty() {
+                    Failure::NoItems
+                } else {
+                    out.items.extend(items.into_iter().map(|item| Scored {
+                        item,
+                        model: runner.llm.model.clone(),
+                    }));
+                    continue;
+                }
+            }
+            Err(LlmError::BudgetExceeded { spent, limit }) => {
+                tracing::warn!(
+                    spent,
+                    limit,
+                    "bulk budget tripped; skipping the rest of the batch"
+                );
+                out.budget_stopped = true;
+                return out;
+            }
+            Err(error) if is_rejection(&error) => Failure::Rejected(rejection_message(&error)),
+            Err(error) => {
+                tracing::warn!(%error, size, "batch failed; its articles remain unassessed");
+                continue;
+            }
+        };
+        if size == 1 {
+            let candidate = work.batch[0];
+            let message = match failure {
+                Failure::Rejected(message) => message,
+                Failure::NoItems => "returned no assessment for the article".into(),
+            };
+            resolve_single(runner, candidate, &prompt, message, &mut out).await;
+            continue;
+        }
+        match failure {
+            Failure::Rejected(message) => {
+                if !warned {
+                    tracing::warn!(
+                        provider,
+                        message = %truncate_chars(&message, REJECTION_MESSAGE_CHARS),
+                        "batch of {original} rejected by {provider}; bisecting"
+                    );
+                    warned = true;
+                }
+                push_halves(&mut stack, work.batch, work.zero_split);
+            }
+            Failure::NoItems if work.zero_split => {
+                tracing::warn!(provider, size, "batch parsed to zero items; bisecting once");
+                push_halves(&mut stack, work.batch, false);
+            }
+            Failure::NoItems => {
+                tracing::warn!(
+                    provider,
+                    size,
+                    "half batch parsed to zero items again; its articles remain unassessed"
+                );
+            }
+        }
+    }
+    out
+}
+
+fn push_halves<'c>(stack: &mut Vec<Work<'c>>, batch: Vec<&'c Candidate>, zero_split: bool) {
+    let mut left = batch;
+    let right = left.split_off(left.len() / 2);
+    stack.push(Work {
+        batch: right,
+        zero_split,
+    });
+    stack.push(Work {
+        batch: left,
+        zero_split,
+    });
+}
+
+/// A single article the bulk provider would not assess: try the editor
+/// client once, else report it as rejected.
+async fn resolve_single<T: Assessed>(
+    runner: &BatchRunner<'_, T>,
+    candidate: &Candidate,
+    prompt: &str,
+    message: String,
+    out: &mut BatchOutcome<T>,
+) {
+    let id = candidate.article.id;
+    let provider = runner.llm.provider();
+    out.rejected += 1;
+    if let Some(fallback) = runner.usable_fallback() {
+        let fallback_provider = fallback.provider();
+        match fallback.complete(prompt, runner.temperature, true).await {
+            Ok(raw) => {
+                if let Some(item) = (runner.parse)(&raw)
+                    .into_iter()
+                    .find(|item| item.article_id() == id)
+                {
+                    tracing::info!(
+                        article_id = id,
+                        provider = fallback_provider,
+                        "article rejected by {provider}; assessed on {fallback_provider} instead"
+                    );
+                    out.items.push(Scored {
+                        item,
+                        model: fallback.model.clone(),
+                    });
+                    out.recovered += 1;
+                    return;
+                }
+                tracing::warn!(
+                    article_id = id,
+                    provider = fallback_provider,
+                    "fallback returned no assessment for the rejected article"
+                );
+            }
+            Err(error) => {
+                tracing::warn!(
+                    article_id = id,
+                    provider = fallback_provider,
+                    %error,
+                    "fallback failed for the rejected article"
+                );
+            }
+        }
+    }
+    let message = truncate_chars(&message, REJECTION_MESSAGE_CHARS);
+    tracing::warn!(
+        article_id = id,
+        provider,
+        %message,
+        "article rejected by the provider; recorded so it is not retried"
+    );
+    out.rejections.push(Rejection {
+        id,
+        provider: provider.to_string(),
+        message,
+    });
+}
+
+#[cfg(test)]
+pub(crate) mod tests {
+    use super::*;
+    use crate::config::ProviderConfig;
+    use crate::curate::llm::{
+        ChatBackend, ChatCompletion, ChatRequest, MockBackend, PriceTable, UsageMeter,
+    };
+    use crate::curate::prefilter::tests::article;
+    use crate::curate::triage::{TriageItem, build_batch_prompt, parse_triage_response};
+    use crate::http::RetryPolicy;
+    use crate::types::TokenUsage;
+    use std::future::Future;
+    use std::pin::Pin;
+    use std::sync::{Arc, Mutex};
+    use std::time::Duration;
+
+    /// A backend that answers for every id it finds in the prompt unless the
+    /// prompt mentions a forbidden title, in which case it rejects the whole
+    /// request the way DeepSeek's content filter does.
+    #[derive(Debug)]
+    pub(crate) struct FilterBackend {
+        forbidden: Vec<String>,
+        /// Prompts answered with `{"articles": []}` (by request index).
+        empty_on: Vec<usize>,
+        answer: fn(&[i64]) -> String,
+        seen: Mutex<Vec<String>>,
+    }
+
+    impl FilterBackend {
+        /// Answers in the triage shape.
+        pub(crate) fn new(forbidden: &[&str], empty_on: &[usize]) -> Arc<Self> {
+            Self::with_answer(forbidden, empty_on, answer_for)
+        }
+
+        /// Answers in the deep-assessment shape.
+        pub(crate) fn deep(forbidden: &[&str]) -> Arc<Self> {
+            Self::with_answer(forbidden, &[], deep_answer_for)
+        }
+
+        fn with_answer(
+            forbidden: &[&str],
+            empty_on: &[usize],
+            answer: fn(&[i64]) -> String,
+        ) -> Arc<Self> {
+            Arc::new(Self {
+                forbidden: forbidden.iter().map(|s| s.to_string()).collect(),
+                empty_on: empty_on.to_vec(),
+                answer,
+                seen: Mutex::new(Vec::new()),
+            })
+        }
+
+        pub(crate) fn calls(&self) -> usize {
+            self.seen.lock().map(|seen| seen.len()).unwrap_or(0)
+        }
+
+        /// The prompt of the first request that carried only `id`.
+        pub(crate) fn prompts_for_single(&self, id: i64) -> String {
+            self.seen
+                .lock()
+                .ok()
+                .and_then(|seen| {
+                    seen.iter()
+                        .find(|prompt| ids_in(prompt) == vec![id])
+                        .cloned()
+                })
+                .unwrap_or_default()
+        }
+
+        /// The ids in each request, in order.
+        pub(crate) fn requests(&self) -> Vec<Vec<i64>> {
+            self.seen
+                .lock()
+                .map(|seen| seen.iter().map(|prompt| ids_in(prompt)).collect())
+                .unwrap_or_default()
+        }
+    }
+
+    fn ids_in(prompt: &str) -> Vec<i64> {
+        prompt
+            .lines()
+            .filter_map(|line| line.strip_prefix("--- id: "))
+            .filter_map(|id| id.trim().parse().ok())
+            .collect()
+    }
+
+    /// A triage answer for `ids`.
+    pub(crate) fn answer_for(ids: &[i64]) -> String {
+        let items = ids
+            .iter()
+            .map(|id| format!(r#"{{"id":{id},"interest":6,"kind":"essay","why":"fine"}}"#))
+            .collect::<Vec<_>>()
+            .join(",");
+        format!(r#"{{"articles":[{items}]}}"#)
+    }
+
+    /// A deep-assessment answer for `ids`.
+    pub(crate) fn deep_answer_for(ids: &[i64]) -> String {
+        let items = ids
+            .iter()
+            .map(|id| {
+                format!(
+                    r#"{{"id":{id},"quality":7,"fit":6,"category":"Top Stories","rationale":"fine","facets":{{"format":"analysis_essay"}}}}"#
+                )
+            })
+            .collect::<Vec<_>>()
+            .join(",");
+        format!(r#"{{"articles":[{items}]}}"#)
+    }
+
+    impl ChatBackend for FilterBackend {
+        fn complete<'a>(
+            &'a self,
+            req: ChatRequest,
+        ) -> Pin<Box<dyn Future<Output = Result<ChatCompletion, LlmError>> + Send + 'a>> {
+            Box::pin(async move {
+                let index = self.calls();
+                if let Ok(mut seen) = self.seen.lock() {
+                    seen.push(req.user.clone());
+                }
+                if self.forbidden.iter().any(|title| req.user.contains(title)) {
+                    return Err(LlmError::api(
+                        "deepseek",
+                        "400 Bad Request: {\"error\":{\"message\":\"Content Exists Risk\"}}",
+                    ));
+                }
+                let content = if self.empty_on.contains(&index) {
+                    r#"{"articles":[]}"#.to_string()
+                } else {
+                    (self.answer)(&ids_in(&req.user))
+                };
+                Ok(ChatCompletion {
+                    content,
+                    usage: TokenUsage::default(),
+                })
+            })
+        }
+    }
+
+    fn client(provider: &str, model: &str, backend: Arc<dyn ChatBackend>) -> LlmClient {
+        LlmClient::with_backend_options(
+            provider,
+            model,
+            "SYSTEM".into(),
+            None,
+            UsageMeter::with_prices(PriceTable::from(&ProviderConfig::deepseek()), 10.0),
+            backend,
+        )
+    }
+
+    fn candidates(n: i64) -> Vec<Candidate> {
+        (1..=n)
+            .map(|id| Candidate::new(article(id, &format!("Title number {id}"), 800), false))
+            .collect()
+    }
+
+    async fn run(
+        llm: &LlmClient,
+        fallback: Option<&LlmClient>,
+        candidates: &[Candidate],
+        batch_size: usize,
+    ) -> BatchOutcome<TriageItem> {
+        let runner = BatchRunner {
+            llm,
+            fallback,
+            temperature: 0.3,
+            build_prompt: &build_batch_prompt,
+            parse: &parse_triage_response,
+        };
+        let all = candidates.iter().collect::<Vec<_>>();
+        let batches = all.chunks(batch_size).map(<[&Candidate]>::to_vec).collect();
+        run_batches(&runner, batches, 4).await
+    }
+
+    fn sorted_ids(outcome: &BatchOutcome<TriageItem>) -> Vec<i64> {
+        let mut ids = outcome
+            .items
+            .iter()
+            .map(|scored| scored.item.id)
+            .collect::<Vec<_>>();
+        ids.sort_unstable();
+        ids
+    }
+
+    #[tokio::test]
+    async fn one_bad_article_in_four_costs_five_requests_and_one_rejection() {
+        let backend = FilterBackend::new(&["Title number 3"], &[]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let candidates = candidates(4);
+        let outcome = run(&llm, None, &candidates, 4).await;
+
+        // [1,2,3,4] is rejected → split. [1,2] succeeds. [3,4] is rejected →
+        // split. [3] alone is rejected → recorded. [4] succeeds. 1 + 2 + 2 = 5.
+        assert_eq!(
+            backend.requests(),
+            vec![vec![1, 2, 3, 4], vec![1, 2], vec![3, 4], vec![3], vec![4]]
+        );
+        assert_eq!(outcome.requests, 5);
+        assert_eq!(sorted_ids(&outcome), vec![1, 2, 4]);
+        assert!(outcome.items.iter().all(|s| s.model == "deepseek-v4-flash"));
+        assert_eq!(outcome.rejected, 1);
+        assert_eq!(outcome.recovered, 0);
+        assert_eq!(outcome.rejections.len(), 1);
+        let rejection = &outcome.rejections[0];
+        assert_eq!(rejection.id, 3);
+        assert_eq!(rejection.provider, "deepseek");
+        assert!(rejection.message.contains("Content Exists Risk"));
+        assert!(
+            rejection
+                .rationale()
+                .starts_with("deepseek: 400 Bad Request"),
+            "{}",
+            rejection.rationale()
+        );
+        assert!(!outcome.budget_stopped);
+    }
+
+    #[tokio::test]
+    async fn every_article_rejected_gives_every_article_a_rejection_in_2n_minus_1_requests() {
+        let titles = (1..=8)
+            .map(|id| format!("Title number {id}"))
+            .collect::<Vec<_>>();
+        let backend =
+            FilterBackend::new(&titles.iter().map(String::as_str).collect::<Vec<_>>(), &[]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let candidates = candidates(8);
+        let outcome = run(&llm, None, &candidates, 8).await;
+        assert_eq!(backend.calls(), 2 * 8 - 1);
+        assert_eq!(outcome.requests, 15);
+        assert!(outcome.items.is_empty());
+        let mut rejected = outcome
+            .rejections
+            .iter()
+            .map(|rejection| rejection.id)
+            .collect::<Vec<_>>();
+        rejected.sort_unstable();
+        assert_eq!(rejected, (1..=8).collect::<Vec<_>>());
+        assert_eq!(outcome.rejected, 8);
+    }
+
+    #[tokio::test]
+    async fn a_rejected_article_is_recovered_on_an_editor_of_another_provider() {
+        let backend = FilterBackend::new(&["Title number 2"], &[]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let editor_backend = Arc::new(MockBackend::new());
+        editor_backend.push(answer_for(&[2]), TokenUsage::default());
+        let editor = client("gemini", "gemini-3.8-flash", editor_backend.clone());
+        let candidates = candidates(2);
+        let outcome = run(&llm, Some(&editor), &candidates, 2).await;
+        assert_eq!(backend.requests(), vec![vec![1, 2], vec![1], vec![2]]);
+        assert_eq!(editor_backend.calls(), 1);
+        let prompt = editor_backend.prompts()[0].clone();
+        assert_eq!(prompt.system.as_str(), "SYSTEM", "same system prompt");
+        assert!(prompt.user.contains("--- id: 2\n"), "same article prompt");
+        assert_eq!(sorted_ids(&outcome), vec![1, 2]);
+        let recovered = outcome
+            .items
+            .iter()
+            .find(|scored| scored.item.id == 2)
+            .expect("recovered");
+        assert_eq!(recovered.model, "gemini-3.8-flash");
+        assert!(outcome.rejections.is_empty(), "no rejection row");
+        assert_eq!((outcome.rejected, outcome.recovered), (1, 1));
+
+        // The same provider name is no alternative: no fallback attempt.
+        let backend = FilterBackend::new(&["Title number 2"], &[]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let same_backend = Arc::new(MockBackend::new());
+        same_backend.push(answer_for(&[2]), TokenUsage::default());
+        let same = client("deepseek", "deepseek-v4-flash", same_backend.clone());
+        let outcome = run(&llm, Some(&same), &candidates, 2).await;
+        assert_eq!(same_backend.calls(), 0);
+        assert_eq!(outcome.rejections.len(), 1);
+        assert_eq!(outcome.recovered, 0);
+
+        // A tripped editor meter is skipped too, and a failing editor still
+        // yields a rejection with the bulk provider's message.
+        let backend = FilterBackend::new(&["Title number 2"], &[]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let tripped_backend = Arc::new(MockBackend::new());
+        let tripped = client("gemini", "gemini-3.8-flash", tripped_backend.clone());
+        tripped.meter.preload_cost(100.0);
+        let outcome = run(&llm, Some(&tripped), &candidates, 2).await;
+        assert_eq!(tripped_backend.calls(), 0);
+        assert_eq!(outcome.rejections.len(), 1);
+
+        let backend = FilterBackend::new(&["Title number 2"], &[]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let failing_backend = Arc::new(MockBackend::new());
+        failing_backend.push_llm_error(LlmError::refusal("gemini"));
+        let failing = client("gemini", "gemini-3.8-flash", failing_backend.clone());
+        let outcome = run(&llm, Some(&failing), &candidates, 2).await;
+        assert_eq!(failing_backend.calls(), 1);
+        assert_eq!(outcome.rejections.len(), 1);
+        assert_eq!(outcome.rejections[0].provider, "deepseek");
+        assert!(
+            outcome.rejections[0]
+                .message
+                .contains("Content Exists Risk")
+        );
+    }
+
+    #[tokio::test]
+    async fn zero_items_bisect_once_and_a_single_zero_is_a_rejection() {
+        // Batch of 4 parses to zero items → its two halves are sent; both fine.
+        let backend = FilterBackend::new(&[], &[0]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let candidates = candidates(4);
+        let outcome = run(&llm, None, &candidates, 4).await;
+        assert_eq!(
+            backend.requests(),
+            vec![vec![1, 2, 3, 4], vec![1, 2], vec![3, 4]]
+        );
+        assert_eq!(sorted_ids(&outcome), vec![1, 2, 3, 4]);
+        assert!(outcome.rejections.is_empty());
+
+        // A half that parses to zero items again is not split further: its
+        // articles simply stay unassessed for this run.
+        let backend = FilterBackend::new(&[], &[0, 1]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let outcome = run(&llm, None, &candidates, 4).await;
+        assert_eq!(backend.calls(), 3);
+        assert_eq!(sorted_ids(&outcome), vec![3, 4]);
+        assert!(outcome.rejections.is_empty());
+
+        // A single article that parses to zero items is a rejection.
+        let backend = FilterBackend::new(&[], &[0]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let outcome = run(&llm, None, &candidates[..1], 1).await;
+        assert_eq!(backend.calls(), 1);
+        assert!(outcome.items.is_empty());
+        assert_eq!(outcome.rejections.len(), 1);
+        assert_eq!(
+            outcome.rejections[0].rationale(),
+            "deepseek: returned no assessment for the article"
+        );
+    }
+
+    #[tokio::test]
+    async fn transient_and_budget_failures_are_not_bisected() {
+        let backend = Arc::new(MockBackend::new());
+        for _ in 0..3 {
+            backend.push_llm_error(LlmError::Transient {
+                provider: "deepseek".into(),
+                message: "503".into(),
+            });
+        }
+        let llm =
+            client("deepseek", "deepseek-v4-flash", backend.clone()).with_retry(RetryPolicy {
+                max_attempts: 3,
+                base_delay: Duration::from_millis(1),
+                max_delay: Duration::from_millis(2),
+            });
+        let candidates = candidates(4);
+        // Transient errors are retried inside the client and, once exhausted,
+        // leave the batch unassessed without bisecting it.
+        let outcome = run(&llm, None, &candidates, 4).await;
+        assert_eq!(backend.calls(), 3, "three attempts, one batch");
+        assert!(outcome.items.is_empty());
+        assert!(
+            outcome.rejections.is_empty(),
+            "transient is not a rejection"
+        );
+        assert_eq!(outcome.rejected, 0);
+
+        let backend = Arc::new(MockBackend::new());
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        llm.meter.preload_cost(100.0);
+        let outcome = run(&llm, None, &candidates, 2).await;
+        assert_eq!(backend.calls(), 0);
+        assert!(outcome.budget_stopped);
+    }
+
+    #[test]
+    fn summary_line_matches_the_documented_shape() {
+        let summary = StageSummary {
+            stage: "triage",
+            pool: 398,
+            reused: 210,
+            known_rejected: 0,
+            requested: 188,
+            batches: 8,
+            applied: 187,
+            rejected: 3,
+            recovered: 2,
+            fallback_provider: Some("gemini".into()),
+        };
+        assert_eq!(
+            summary.info_line(),
+            "triage: 398 in pool · 210 reused · 188 requested in 8 batches · 3 rejected (2 recovered on gemini)"
+        );
+        assert_eq!(summary.assessed(), 397);
+        assert_eq!(summary.rejected_total(), 1);
+        let quiet = StageSummary {
+            stage: "assess",
+            pool: 120,
+            reused: 20,
+            known_rejected: 2,
+            requested: 98,
+            batches: 13,
+            applied: 98,
+            ..StageSummary::default()
+        };
+        assert_eq!(
+            quiet.info_line(),
+            "assess: 120 in pool · 20 reused · 98 requested in 13 batches · 0 rejected · 2 known rejected"
+        );
+        assert_eq!(quiet.rejected_total(), 2);
+    }
+
+    #[test]
+    fn rejection_messages_are_short_and_single_line() {
+        let long = "x".repeat(500);
+        let cut = truncate_chars(&long, REJECTION_MESSAGE_CHARS);
+        assert_eq!(cut.chars().count(), REJECTION_MESSAGE_CHARS);
+        assert!(cut.ends_with('…'));
+        assert_eq!(truncate_chars("a\n  b", 10), "a b");
+        assert_eq!(
+            rejection_message(&LlmError::refusal("anthropic")),
+            "returned a refusal"
+        );
+        assert_eq!(
+            rejection_message(&LlmError::api("deepseek", "400: nope")),
+            "400: nope"
+        );
+    }
+}

src/curate/embedding.rs

@@ -416,8 +416,8 @@ pub fn decode_blob(bytes: &[u8], dimension: usize) -> Result<Vec<f32>, Embedding
         });
     }
     let mut vector = Vec::with_capacity(dimension);
-    for chunk in bytes.chunks_exact(4) {
-        let value = f32::from_le_bytes([chunk[0], chunk[1], chunk[2], chunk[3]]);
+    for chunk in bytes.as_chunks::<4>().0 {
+        let value = f32::from_le_bytes(*chunk);
         if !value.is_finite() {
             return Err(EmbeddingError::NonFinite);
         }

src/curate/llm.rs

@@ -627,7 +627,7 @@ impl LlmClient {
     }
 
     #[cfg(test)]
-    fn with_retry(mut self, retry: RetryPolicy) -> Self {
+    pub(crate) fn with_retry(mut self, retry: RetryPolicy) -> Self {
         self.retry = retry;
         self
     }

src/curate/mod.rs

@@ -12,6 +12,7 @@
 
 pub mod admit;
 pub mod assess;
+pub mod batch;
 pub mod editor;
 pub mod editorial;
 pub mod embedding;
@@ -50,23 +51,30 @@ impl Curator {
     /// A no-op under `--skip-llm`: like triage, nothing is read or written and
     /// utility falls back to the present signals (§12.3, §17). When the bulk
     /// provider is down or its budget trips, cached rows are still reused and
-    /// the failed batches simply stay unassessed.
+    /// the failed batches simply stay unassessed. A batch the provider's
+    /// content filter rejects is bisected, and a rejected single article is
+    /// retried on the editor when that is another provider (`curate::batch`).
     pub async fn assess(
         &self,
         candidates: &mut [Candidate],
         rescore: bool,
         profile_version: Option<i64>,
         assessed_at: Timestamp,
-    ) -> anyhow::Result<usize> {
+    ) -> anyhow::Result<batch::StageSummary> {
         let Some(bulk) = self.llms.bulk.as_ref() else {
             tracing::info!("--skip-llm: deep assessment skipped");
-            return Ok(0);
+            return Ok(batch::StageSummary::default());
         };
-        let span = tracing::info_span!("llm_assess", candidates = candidates.len());
+        let admitted = candidates
+            .iter()
+            .filter(|candidate| candidate.stage == "admitted")
+            .count();
+        let span = tracing::info_span!("llm_assess", candidates = admitted);
         let _guard = span.enter();
         assess::run(
             &self.db,
             Some(bulk),
+            self.llms.editor.as_ref(),
             &bulk.model,
             candidates,
             self.config.llm.deep_batch_size,

src/curate/telemetry.rs

@@ -429,6 +429,12 @@ pub async fn render_explain(db: &Db, row: &ExplainRow) -> Result<String, sqlx::E
             let rationale = assessment
                 .get::<Option<String>, _>("rationale")
                 .unwrap_or_default();
+            if assessment.get::<Option<String>, _>("kind").as_deref()
+                == Some(super::triage::PROVIDER_REJECTED)
+            {
+                let _ = writeln!(out, "  {stage}: rejected by provider — {rationale}");
+                continue;
+            }
             if stage == "deep" {
                 let _ = writeln!(
                     out,
@@ -1007,6 +1013,56 @@ mod tests {
         assert_eq!(parsed["exploration"], true);
     }
 
+    #[tokio::test]
+    async fn explain_names_provider_rejections_instead_of_scores() {
+        let (_dir, db) = db_with_articles(&[1]).await;
+        let run_id = db.start_run(date(), Timestamp::now()).await.unwrap();
+        write(
+            &db,
+            &CandidateRun {
+                run_id,
+                article_id: 1,
+                stage: "admitted",
+                excluded_reason: None,
+                admitted_by: Some("[\"interest\"]"),
+                signals_json: "{}",
+                utility: None,
+                rank_utility: None,
+                cluster_id: None,
+                cluster_rank: None,
+                editor_why: None,
+            },
+        )
+        .await
+        .unwrap();
+        sqlx::query(
+            "INSERT INTO article_assessments
+             (article_id, stage, model, prompt_version, score, fit, kind, rationale, assessed_at)
+             VALUES (1, 'triage', 'deepseek-v4-flash', 1, NULL, NULL, 'provider_rejected',
+                     'deepseek: 400 Bad Request: Content Exists Risk', '2026-09-02T04:00:00Z'),
+                    (1, 'deep', 'deepseek-v4-flash', 1, NULL, NULL, 'provider_rejected',
+                     'deepseek: returned a refusal', '2026-09-02T04:00:00Z')",
+        )
+        .execute(db.pool())
+        .await
+        .unwrap();
+        let text = explain(&db, date(), None, &ExplainTarget::Article(1))
+            .await
+            .unwrap();
+        assert!(
+            text.contains(
+                "  triage: rejected by provider — deepseek: 400 Bad Request: Content Exists Risk\n"
+            ),
+            "{text}"
+        );
+        assert!(
+            text.contains("  deep: rejected by provider — deepseek: returned a refusal\n"),
+            "{text}"
+        );
+        assert!(!text.contains("interest —"), "{text}");
+        assert!(!text.contains("quality —"), "{text}");
+    }
+
     #[tokio::test]
     async fn rows_are_upserted_with_every_column_replaced() {
         let (_dir, db) = db_with_articles(&[1]).await;

src/curate/triage.rs

@@ -3,17 +3,20 @@
 use std::collections::{HashMap, HashSet};
 use std::fmt::Write as _;
 
-use futures::{StreamExt, stream};
 use jiff::Timestamp;
 use serde_json::Value;
 use sqlx::Row as _;
 
+use super::batch::{Assessed, BatchRunner, Rejection, Scored, StageSummary, run_batches};
 use super::llm::{LlmClient, strip_code_fence};
 use super::{prompt_text, truncate_words};
 use crate::db::{Db, fmt_ts, parse_ts};
 use crate::types::{ArticleId, Candidate, Triage};
 
 pub const TRIAGE_PROMPT_VERSION: i64 = 1;
+/// The `kind` of an `article_assessments` row recording that the provider
+/// refused the article; `score` (and `fit`) are NULL and `rationale` says why.
+pub const PROVIDER_REJECTED: &str = "provider_rejected";
 pub const TRIAGE_INSTRUCTIONS: &str = r#"TASK: first-pass triage of today's candidate articles for The Daily EPUB.
 
 You see only each article's opening. Decide how much THIS reader (profile in your
@@ -337,10 +340,36 @@ fn compare_signal(
         .then_with(|| left_id.cmp(&right_id))
 }
 
+impl Assessed for TriageItem {
+    fn article_id(&self) -> ArticleId {
+        self.id
+    }
+}
+
+/// The models whose cached rows a stage may reuse: the bulk model and, when
+/// an editor on another provider can recover rejected articles, its model.
+pub fn reusable_models<'a>(model: &'a str, fallback: Option<&'a LlmClient>) -> [&'a str; 2] {
+    [
+        model,
+        fallback
+            .map(|client| client.model.as_str())
+            .unwrap_or(model),
+    ]
+}
+
+/// Triage every pool article without a fresh cached assessment on the bulk
+/// client, bisecting rejected batches and retrying rejected singles on
+/// `fallback` when it is another provider (see [`super::batch`]).
+///
+/// Cached rows count as reused whether the bulk or the editor model wrote
+/// them; a fresh `provider_rejected` row skips the article and leaves its
+/// triage absent. Articles with a reusable deep row are reused as well: they
+/// need no triage to be admitted.
 #[allow(clippy::too_many_arguments)]
 pub async fn run(
     db: &Db,
     llm: &LlmClient,
+    fallback: Option<&LlmClient>,
     candidates: &mut [Candidate],
     pool: &HashSet<ArticleId>,
     batch_size: usize,
@@ -350,36 +379,46 @@ pub async fn run(
     profile_version: Option<i64>,
     assessed_at: Timestamp,
     temperature: f32,
-) -> anyhow::Result<usize> {
+) -> anyhow::Result<StageSummary> {
+    let positions = candidates
+        .iter()
+        .enumerate()
+        .map(|(index, candidate)| (candidate.article.id, index))
+        .collect::<HashMap<_, _>>();
     let mut reusable_deep = HashSet::new();
+    let mut known_rejected = HashSet::new();
     if !rescore {
         let since = assessed_at - jiff::Span::new().hours(assessment_reuse_days.max(0) * 24);
+        let models = reusable_models(&llm.model, fallback);
         let rows = sqlx::query(
-            "SELECT article_id, stage, score, kind, rationale, assessed_at
+            "SELECT article_id, stage, model, score, kind, rationale, assessed_at
              FROM article_assessments
-             WHERE model = ? AND assessed_at >= ?
+             WHERE model IN (?, ?) AND assessed_at >= ?
                AND ((stage = 'triage' AND prompt_version = ?)
                  OR (stage = 'deep' AND prompt_version = ?))",
         )
-        .bind(&llm.model)
+        .bind(models[0])
+        .bind(models[1])
         .bind(fmt_ts(since))
         .bind(TRIAGE_PROMPT_VERSION)
         .bind(super::assess::DEEP_PROMPT_VERSION)
         .fetch_all(db.pool())
         .await?;
-        let pool_ids = pool;
-        let positions = candidates
-            .iter()
-            .enumerate()
-            .map(|(index, candidate)| (candidate.article.id, index))
-            .collect::<HashMap<_, _>>();
         for row in rows {
             let id = row.get::<i64, _>("article_id");
-            if !pool_ids.contains(&id) {
+            if !pool.contains(&id) {
                 continue;
             }
+            let rejected =
+                row.get::<Option<String>, _>("kind").as_deref() == Some(PROVIDER_REJECTED);
             if row.get::<String, _>("stage") == "deep" {
-                reusable_deep.insert(id);
+                if !rejected {
+                    reusable_deep.insert(id);
+                }
+                continue;
+            }
+            if rejected {
+                known_rejected.insert(id);
                 continue;
             }
             let Some(score) = row.get::<Option<f64>, _>("score") else {
@@ -398,7 +437,7 @@ pub async fn run(
                     why: row
                         .get::<Option<String>, _>("rationale")
                         .unwrap_or_default(),
-                    model: llm.model.clone(),
+                    model: row.get::<String, _>("model"),
                     prompt_version: TRIAGE_PROMPT_VERSION,
                     assessed_at: timestamp,
                 });
@@ -406,52 +445,51 @@ pub async fn run(
         }
     }
 
-    let pending = candidates
+    let in_pool = candidates
         .iter()
         .filter(|candidate| {
-            pool.contains(&candidate.article.id)
-                && candidate.excluded_reason.is_none()
-                && candidate.assessment.triage.is_none()
-                && !reusable_deep.contains(&candidate.article.id)
+            pool.contains(&candidate.article.id) && candidate.excluded_reason.is_none()
         })
         .collect::<Vec<_>>();
-    let prompts = pending
-        .chunks(batch_size.max(1))
-        .map(|batch| {
-            let allowed = batch
-                .iter()
-                .map(|candidate| candidate.article.id)
-                .collect::<HashSet<_>>();
-            (allowed, build_batch_prompt(batch))
-        })
-        .collect::<Vec<_>>();
-    let results = stream::iter(prompts)
-        .map(|(allowed, prompt)| async move {
-            if let Err(error) = llm.meter.check_budget() {
-                tracing::warn!(%error, "bulk budget tripped; skipping triage batch");
-                return Vec::new();
-            }
-            match llm.complete(&prompt, temperature, true).await {
-                Ok(raw) => parse_triage_response(&raw)
-                    .into_iter()
-                    .filter(|item| allowed.contains(&item.id))
-                    .collect(),
-                Err(error) => {
-                    tracing::warn!(%error, "triage batch failed; its articles remain untriaged");
-                    Vec::new()
-                }
-            }
-        })
-        .buffer_unordered(max_concurrent_requests.max(1))
-        .collect::<Vec<Vec<TriageItem>>>()
-        .await;
-    let positions = candidates
+    let pending = in_pool
         .iter()
-        .enumerate()
-        .map(|(index, candidate)| (candidate.article.id, index))
-        .collect::<HashMap<_, _>>();
-    let mut applied = 0;
-    for item in results.into_iter().flatten() {
+        .copied()
+        .filter(|candidate| {
+            candidate.assessment.triage.is_none()
+                && !reusable_deep.contains(&candidate.article.id)
+                && !known_rejected.contains(&candidate.article.id)
+        })
+        .collect::<Vec<_>>();
+    let known_rejected = in_pool
+        .iter()
+        .filter(|candidate| known_rejected.contains(&candidate.article.id))
+        .count();
+    let mut summary = StageSummary {
+        stage: "triage",
+        pool: in_pool.len(),
+        reused: in_pool.len() - pending.len() - known_rejected,
+        known_rejected,
+        requested: pending.len(),
+        ..StageSummary::default()
+    };
+    let batches = pending
+        .chunks(batch_size.max(1))
+        .map(<[&Candidate]>::to_vec)
+        .collect::<Vec<_>>();
+    summary.batches = batches.len();
+    let runner = BatchRunner {
+        llm,
+        fallback,
+        temperature,
+        build_prompt: &build_batch_prompt,
+        parse: &parse_triage_response,
+    };
+    summary.fallback_provider = runner.fallback_provider();
+    let outcome = run_batches(&runner, batches, max_concurrent_requests).await;
+    summary.rejected = outcome.rejected;
+    summary.recovered = outcome.recovered;
+
+    for Scored { item, model } in outcome.items {
         let Some(index) = positions.get(&item.id).copied() else {
             continue;
         };
@@ -459,7 +497,7 @@ pub async fn run(
             interest: item.interest,
             kind: item.kind,
             why: item.why,
-            model: llm.model.clone(),
+            model,
             prompt_version: TRIAGE_PROMPT_VERSION,
             assessed_at,
         };
@@ -486,7 +524,19 @@ pub async fn run(
         .execute(db.pool())
         .await?;
         candidates[index].assessment.triage = Some(triage);
-        applied += 1;
+        summary.applied += 1;
+    }
+    for rejection in &outcome.rejections {
+        write_rejection(
+            db,
+            "triage",
+            rejection,
+            &llm.model,
+            TRIAGE_PROMPT_VERSION,
+            profile_version,
+            assessed_at,
+        )
+        .await?;
     }
     for candidate in candidates
         .iter_mut()
@@ -494,19 +544,294 @@ pub async fn run(
     {
         candidate.stage = "triaged".into();
     }
-    Ok(applied)
+    tracing::info!("{}", summary.info_line());
+    Ok(summary)
+}
+
+/// Persist a `provider_rejected` row so the article is not sent again while
+/// the row is fresh (`score` and `fit` NULL; the rationale names the provider).
+pub async fn write_rejection(
+    db: &Db,
+    stage: &str,
+    rejection: &Rejection,
+    model: &str,
+    prompt_version: i64,
+    profile_version: Option<i64>,
+    assessed_at: Timestamp,
+) -> anyhow::Result<()> {
+    sqlx::query(
+        "INSERT INTO article_assessments
+             (article_id, stage, model, prompt_version, profile_version, score, fit, kind,
+              facets_json, rationale, category, paywalled_guess, assessed_at)
+         VALUES (?, ?, ?, ?, ?, NULL, NULL, ?, NULL, ?, NULL, 0, ?)
+         ON CONFLICT(article_id, stage) DO UPDATE SET
+             model = excluded.model, prompt_version = excluded.prompt_version,
+             profile_version = excluded.profile_version, score = NULL, fit = NULL,
+             kind = excluded.kind, facets_json = NULL, rationale = excluded.rationale,
+             category = NULL, paywalled_guess = 0, assessed_at = excluded.assessed_at",
+    )
+    .bind(rejection.id)
+    .bind(stage)
+    .bind(model)
+    .bind(prompt_version)
+    .bind(profile_version)
+    .bind(PROVIDER_REJECTED)
+    .bind(rejection.rationale())
+    .bind(fmt_ts(assessed_at))
+    .execute(db.pool())
+    .await?;
+    Ok(())
 }
 
 #[cfg(test)]
 mod tests {
     use super::*;
     use crate::config::ProviderConfig;
-    use crate::curate::llm::{MockBackend, PriceTable, UsageMeter};
+    use crate::curate::batch::tests::{FilterBackend, answer_for};
+    use crate::curate::llm::{ChatBackend, MockBackend, PriceTable, UsageMeter};
     use crate::curate::prefilter::tests::article;
     use crate::curate::signals::{Neighbour, TopInterest};
     use crate::types::TokenUsage;
     use std::sync::Arc;
 
+    fn client(provider: &str, model: &str, backend: Arc<dyn ChatBackend>) -> LlmClient {
+        LlmClient::with_backend_options(
+            provider,
+            model,
+            "SYSTEM".into(),
+            None,
+            UsageMeter::with_prices(PriceTable::from(&ProviderConfig::deepseek()), 10.0),
+            backend,
+        )
+    }
+
+    fn at() -> Timestamp {
+        "2026-09-02T05:30:00Z".parse().expect("timestamp")
+    }
+
+    async fn db_with_articles(ids: &[i64]) -> (tempfile::TempDir, Db) {
+        let dir = tempfile::tempdir().expect("tempdir");
+        let db = Db::open_and_migrate(&dir.path().join("triage.db"))
+            .await
+            .expect("db");
+        for id in ids {
+            sqlx::query(
+                "INSERT INTO articles (id, canonical_url, title, first_seen)
+                 VALUES (?, ?, 'A', '2026-09-02T00:00:00Z')",
+            )
+            .bind(id)
+            .bind(format!("https://example.com/{id}"))
+            .execute(db.pool())
+            .await
+            .expect("article");
+        }
+        (dir, db)
+    }
+
+    fn pool_of(n: i64) -> (Vec<Candidate>, HashSet<ArticleId>) {
+        let candidates = (1..=n)
+            .map(|id| Candidate::new(article(id, &format!("Piece {id}"), 800), false))
+            .collect::<Vec<_>>();
+        (candidates, (1..=n).collect())
+    }
+
+    /// `run` with the defaults these tests share: batches of 4, a 3-day cache.
+    async fn triage(
+        db: &Db,
+        llm: &LlmClient,
+        fallback: Option<&LlmClient>,
+        candidates: &mut [Candidate],
+        pool: &HashSet<ArticleId>,
+        rescore: bool,
+        assessed_at: Timestamp,
+    ) -> StageSummary {
+        run(
+            db,
+            llm,
+            fallback,
+            candidates,
+            pool,
+            4,
+            4,
+            3,
+            rescore,
+            Some(1),
+            assessed_at,
+            0.3,
+        )
+        .await
+        .expect("triage never aborts the run")
+    }
+
+    async fn rejection_rows(db: &Db) -> Vec<(i64, String, String)> {
+        sqlx::query(
+            "SELECT article_id, model, rationale FROM article_assessments
+             WHERE stage = 'triage' AND kind = 'provider_rejected' AND score IS NULL
+             ORDER BY article_id",
+        )
+        .fetch_all(db.pool())
+        .await
+        .expect("rows")
+        .iter()
+        .map(|row| {
+            (
+                row.get::<i64, _>("article_id"),
+                row.get::<String, _>("model"),
+                row.get::<Option<String>, _>("rationale")
+                    .unwrap_or_default(),
+            )
+        })
+        .collect()
+    }
+
+    #[tokio::test]
+    async fn rejections_are_persisted_honoured_and_expire() {
+        let (_dir, db) = db_with_articles(&[1, 2, 3, 4]).await;
+        let backend = FilterBackend::new(&["Piece 3"], &[]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let (mut candidates, pool) = pool_of(4);
+        let summary = triage(&db, &llm, None, &mut candidates, &pool, false, at()).await;
+        assert_eq!(backend.calls(), 5, "1 + 2 + 2 for one bad article in four");
+        assert_eq!(
+            (summary.pool, summary.requested, summary.batches),
+            (4, 4, 1)
+        );
+        assert_eq!((summary.rejected, summary.recovered), (1, 0));
+        assert_eq!(summary.applied, 3);
+        assert_eq!(summary.rejected_total(), 1);
+        assert_eq!(
+            summary.info_line(),
+            "triage: 4 in pool · 0 reused · 4 requested in 1 batches · 1 rejected"
+        );
+        assert!(candidates[2].assessment.triage.is_none());
+        assert_ne!(candidates[2].stage, "triaged");
+        assert!(
+            candidates
+                .iter()
+                .filter(|candidate| candidate.article.id != 3)
+                .all(|candidate| candidate.assessment.triage.is_some())
+        );
+        let rows = rejection_rows(&db).await;
+        assert_eq!(rows.len(), 1);
+        assert_eq!((rows[0].0, rows[0].1.as_str()), (3, "deepseek-v4-flash"));
+        assert!(
+            rows[0].2.starts_with("deepseek: 400 Bad Request"),
+            "{}",
+            rows[0].2
+        );
+
+        // Next run inside the window: nothing is asked for 3, and 1, 2, 4 are reused.
+        let (mut cached, _) = pool_of(4);
+        let summary = triage(&db, &llm, None, &mut cached, &pool, false, at()).await;
+        assert_eq!(backend.calls(), 5, "no request at all");
+        assert_eq!((summary.reused, summary.known_rejected), (3, 1));
+        assert_eq!(summary.requested, 0);
+        assert_eq!(summary.rejected_total(), 1);
+        assert!(cached[2].assessment.triage.is_none());
+        assert!(
+            summary
+                .info_line()
+                .ends_with("0 rejected · 1 known rejected")
+        );
+
+        // `--rescore` ignores rejection rows like any other cached row.
+        let (mut rescored, _) = pool_of(4);
+        let summary = triage(&db, &llm, None, &mut rescored, &pool, true, at()).await;
+        assert_eq!(summary.requested, 4);
+        assert_eq!(summary.known_rejected, 0);
+        assert_eq!(backend.calls(), 10);
+        assert_eq!(rejection_rows(&db).await.len(), 1);
+
+        // An expired rejection row is retried.
+        sqlx::query(
+            "UPDATE article_assessments SET assessed_at = '2026-08-01T00:00:00Z'
+             WHERE article_id = 3",
+        )
+        .execute(db.pool())
+        .await
+        .expect("age the row");
+        let (mut expired, _) = pool_of(4);
+        let summary = triage(&db, &llm, None, &mut expired, &pool, false, at()).await;
+        assert_eq!(summary.requested, 1, "only the expired rejection");
+        assert_eq!(backend.calls(), 11);
+        assert_eq!(backend.requests()[10], vec![3]);
+        assert_eq!(rejection_rows(&db).await.len(), 1, "rejected again");
+    }
+
+    #[tokio::test]
+    async fn fallback_assessments_carry_the_editor_model_and_are_reused() {
+        let (_dir, db) = db_with_articles(&[1, 2]).await;
+        let backend = FilterBackend::new(&["Piece 2"], &[]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let editor_backend = Arc::new(MockBackend::new());
+        editor_backend.push(answer_for(&[2]), TokenUsage::default());
+        let editor = client("gemini", "gemini-3.8-flash", editor_backend.clone());
+        let (mut candidates, pool) = pool_of(2);
+        let summary = triage(
+            &db,
+            &llm,
+            Some(&editor),
+            &mut candidates,
+            &pool,
+            false,
+            at(),
+        )
+        .await;
+        assert_eq!(editor_backend.calls(), 1);
+        assert_eq!((summary.rejected, summary.recovered), (1, 1));
+        assert_eq!(summary.rejected_total(), 0);
+        assert_eq!(
+            summary.info_line(),
+            "triage: 2 in pool · 0 reused · 2 requested in 1 batches · 1 rejected (1 recovered on gemini)"
+        );
+        let recovered = candidates[1].assessment.triage.as_ref().expect("recovered");
+        assert_eq!(recovered.model, "gemini-3.8-flash");
+        assert_eq!(candidates[1].stage, "triaged");
+        assert!(rejection_rows(&db).await.is_empty(), "no rejection row");
+        let stored: String = sqlx::query_scalar(
+            "SELECT model FROM article_assessments WHERE article_id = 2 AND stage = 'triage'",
+        )
+        .fetch_one(db.pool())
+        .await
+        .expect("row");
+        assert_eq!(stored, "gemini-3.8-flash");
+
+        // The editor's row is reusable while the editor is configured…
+        let (mut cached, _) = pool_of(2);
+        let summary = triage(&db, &llm, Some(&editor), &mut cached, &pool, false, at()).await;
+        assert_eq!(summary.reused, 2);
+        assert_eq!(backend.calls(), 3);
+        assert_eq!(
+            cached[1]
+                .assessment
+                .triage
+                .as_ref()
+                .map(|triage| triage.model.as_str()),
+            Some("gemini-3.8-flash")
+        );
+
+        // …and not otherwise: without an editor only bulk-model rows count.
+        let (mut alone, _) = pool_of(2);
+        let summary = triage(&db, &llm, None, &mut alone, &pool, false, at()).await;
+        assert_eq!((summary.reused, summary.requested), (1, 1));
+    }
+
+    #[tokio::test]
+    async fn an_editor_on_the_bulk_provider_is_not_a_fallback() {
+        let (_dir, db) = db_with_articles(&[1, 2]).await;
+        let backend = FilterBackend::new(&["Piece 2"], &[]);
+        let llm = client("deepseek", "deepseek-v4-flash", backend.clone());
+        let same_backend = Arc::new(MockBackend::new());
+        same_backend.push(answer_for(&[2]), TokenUsage::default());
+        let same = client("deepseek", "deepseek-v4-flash", same_backend.clone());
+        let (mut candidates, pool) = pool_of(2);
+        let summary = triage(&db, &llm, Some(&same), &mut candidates, &pool, false, at()).await;
+        assert_eq!(same_backend.calls(), 0);
+        assert_eq!(summary.fallback_provider, None);
+        assert_eq!((summary.rejected, summary.recovered), (1, 0));
+        assert_eq!(rejection_rows(&db).await.len(), 1);
+    }
+
     const TRIAGE_FIXTURE: &str = include_str!(concat!(
         env!("CARGO_MANIFEST_DIR"),
         "/tests/fixtures/deepseek_triage_batch.json"
@@ -597,6 +922,7 @@ mod tests {
         run(
             &db,
             &llm,
+            None,
             &mut first,
             &pool,
             25,
@@ -615,6 +941,7 @@ mod tests {
         run(
             &db,
             &llm,
+            None,
             &mut cached,
             &pool,
             25,
@@ -645,6 +972,7 @@ mod tests {
         run(
             &db,
             &llm,
+            None,
             &mut rescored,
             &pool,
             25,

src/pipeline.rs

@@ -469,9 +469,10 @@ async fn run_stages(
         .flatten()
         .and_then(|value| value.parse().ok());
     if let Some(bulk) = curator.llms.bulk.as_ref() {
-        if let Err(error) = triage::run(
+        match triage::run(
             db,
             bulk,
+            curator.llms.editor.as_ref(),
             &mut personalized,
             &triage_pool,
             config.llm.triage_batch_size,
@@ -484,9 +485,13 @@ async fn run_stages(
         )
         .await
         {
-            report.warn(format!(
+            Ok(summary) => {
+                report.counts.triage_reused = summary.reused as i64;
+                report.counts.triage_rejected = summary.rejected_total() as i64;
+            }
+            Err(error) => report.warn(format!(
                 "triage degraded; admission continues without it: {error:#}"
-            ));
+            )),
         }
     } else {
         tracing::info!("--skip-llm or no bulk provider: triage skipped");
@@ -516,7 +521,7 @@ async fn run_stages(
 
     // --- Stage 9: deep assessment (§12.1) ---
     let stage = Timestamp::now();
-    if let Err(error) = curator
+    match curator
         .assess(
             &mut personalized,
             ctx.rescore,
@@ -525,9 +530,13 @@ async fn run_stages(
         )
         .await
     {
-        report.warn(format!(
+        Ok(summary) => {
+            report.counts.deep_reused = summary.reused as i64;
+            report.counts.deep_rejected = summary.rejected_total() as i64;
+        }
+        Err(error) => report.warn(format!(
             "deep assessment degraded; ranking continues on present signals: {error:#}"
-        ));
+        )),
     }
     report.counts.assessed = personalized
         .iter()
@@ -1666,16 +1675,28 @@ mod tests {
         assert_eq!(thin, "{}");
 
         // Admission replaces the old prefilter and carries retriever telemetry.
-        // The bulk provider is "down": the client exists but every call fails, so
-        // the deep set is ranked on present signals and the editor falls back
-        // to utility order (§17).
+        // The bulk provider is "down": the client exists but the one deep batch
+        // fails transiently through every retry (a content-filter rejection
+        // would be bisected instead), so the deep set is ranked on present
+        // signals and the editor falls back to utility order (§17).
         let bulk_backend = Arc::new(ChatMockBackend::new());
+        for _ in 0..3 {
+            bulk_backend.push_llm_error(crate::curate::llm::LlmError::Transient {
+                provider: "deepseek".into(),
+                message: "503".into(),
+            });
+        }
         let bulk = LlmClient::with_backend(
             &h.config.providers["deepseek"].model,
             "SYSTEM".into(),
             UsageMeter::for_provider(&h.config.providers["deepseek"]),
             bulk_backend.clone(),
-        );
+        )
+        .with_retry(crate::http::RetryPolicy {
+            max_attempts: 3,
+            base_delay: std::time::Duration::from_millis(1),
+            max_delay: std::time::Duration::from_millis(2),
+        });
         let curator = Curator::new(
             h.config.clone(),
             h.db.clone(),
@@ -1699,9 +1720,21 @@ mod tests {
         let assessed = curator
             .assess(&mut features, false, None, now())
             .await
-            .unwrap();
+            .unwrap()
+            .assessed();
         assert_eq!(assessed, 0, "every deep batch failed");
-        assert_eq!(bulk_backend.calls(), 1, "one batch was attempted");
+        assert_eq!(
+            bulk_backend.calls(),
+            3,
+            "one batch was attempted, three times; nothing was bisected"
+        );
+        let rejected: i64 = sqlx::query_scalar(
+            "SELECT COUNT(*) FROM article_assessments WHERE kind = 'provider_rejected'",
+        )
+        .fetch_one(h.db.pool())
+        .await
+        .unwrap();
+        assert_eq!(rejected, 0, "a transient failure is not a rejection");
         assert!(features.iter().all(|c| c.assessment.deep.is_none()));
         let embeddings = features
             .iter()
@@ -1743,7 +1776,7 @@ mod tests {
         let lineup = curator.select(candidates, run_date()).await.unwrap();
         assert_eq!(
             bulk_backend.calls(),
-            2,
+            4,
             "the editor tried the bulk fallback"
         );
         let selected = lineup

src/report.rs

@@ -84,6 +84,13 @@ pub struct StageCounts {
     pub verdicts_in_prompt: i64,
     /// Articles with a reusable or newly produced triage assessment.
     pub triaged: i64,
+    /// Triage assessments served from cached rows.
+    #[serde(default)]
+    pub triage_reused: i64,
+    /// Pool articles without a triage because a provider rejected them
+    /// (this run's unrecovered rejections plus fresh `provider_rejected` rows).
+    #[serde(default)]
+    pub triage_rejected: i64,
     /// Articles admitted to close reading.
     pub admitted: i64,
     /// First admitting retriever counts.
@@ -92,6 +99,13 @@ pub struct StageCounts {
     pub exploration_selected: i64,
     /// Deep assessments, whether reused or newly produced.
     pub assessed: i64,
+    /// Deep assessments served from cached rows.
+    #[serde(default)]
+    pub deep_reused: i64,
+    /// Admitted articles without a deep assessment because a provider
+    /// rejected them.
+    #[serde(default)]
+    pub deep_rejected: i64,
     /// Candidates shown to the editor after diversification.
     pub shortlisted: i64,
     /// Leader clusters formed over the deep set.
@@ -287,10 +301,24 @@ impl RunReport {
         } else {
             providers
         };
+        let rejected = |count: i64| {
+            if count > 0 {
+                format!(" · {count} rejected")
+            } else {
+                String::new()
+            }
+        };
         [
             format!(
-                "curation: {} considered → {} eligible → {} triaged → {} assessed → {} shortlisted → {} selected",
-                c.articles, c.eligible, c.triaged, c.assessed, c.shortlisted, c.selected
+                "curation: {} considered → {} eligible → {} triaged{} → {} assessed{} → {} shortlisted → {} selected",
+                c.articles,
+                c.eligible,
+                c.triaged,
+                rejected(c.triage_rejected),
+                c.assessed,
+                rejected(c.deep_rejected),
+                c.shortlisted,
+                c.selected
             ),
             format!(
                 "admission: triage {} · interest {} · knn {} · exploration {} · blend {} · auto {}",
@@ -435,6 +463,21 @@ mod tests {
         );
         assert_eq!(RunReport::format_duration(48), "48s");
         assert_eq!(RunReport::format_duration(3600), "60m00s");
+
+        // Provider rejections show up only when there were any.
+        r.counts.triaged = 395;
+        r.counts.triage_rejected = 3;
+        r.counts.deep_rejected = 0;
+        assert_eq!(
+            r.info_block()[0],
+            "curation: 412 considered → 398 eligible → 395 triaged · 3 rejected → 120 assessed → 60 shortlisted → 17 selected"
+        );
+        r.counts.assessed = 119;
+        r.counts.deep_rejected = 1;
+        assert_eq!(
+            r.info_block()[0],
+            "curation: 412 considered → 398 eligible → 395 triaged · 3 rejected → 119 assessed · 1 rejected → 60 shortlisted → 17 selected"
+        );
     }
 
     #[test]