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Recent paper scan: 2026-09-27

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September 20–27 overlap across four tracks with manifest/ledger deduplication. arXiv paging succeeded without cache; Google Research and Meta AI pages timed out. No cross-source completeness or all-source watermark advance. Month-wide IDs catch delayed indexing; new means not closed here, not published this week. Institution keywords are not affiliations. Per-query paging capped at 100; expansion to 200 stopped because of rate limits.

Track Unique hits Not closed Interpretation
Search/ads/recommendation 143 92 Includes institution false positives and delayed older work
Foundation 600 532 Broad hits need date and topic review
Post-training 313 257 Meta MaD-RL found on official site, not this arXiv candidate set
Agent 548 491 Unclosed is not implementable

Full-text priority queue

Priority Paper Evidence Recorded status
P0 OneTrans-V2 (Sep 23, ByteDance) §6.3 user-level 50/50 A/B; shared causal context, three-stage training, decision-conditioned retrieval and ranking-to-preranking distillation Three-seed public proxy; MovieLens lacks transactions, ads and funnel
P0 X-Rec (Sep 24, TikTok) §5 two vertical rollouts, vertical engagement +4.1484%, global +0.0111%; spherical flow matching and late-interaction DiT Public mechanism vs SID-AR; matched 200 steps, 20×1 full-catalog and CPU throughput; negative low-budget result
P0 CMRec (Sep 24, Alibaba International) §4.2 May 10–20 2026, 10% traffic: revenue +1.77%, orders +2.64%; shared codebook, dual constraints, contextual weights Pending; private ads plus public six-region Amazon M2, check author code
P0 AgentX-Model (Sep 24, Kuaishou) §4.3 five A/B tests; dual agents, Reproduce/Follow-up/Composition/Diagnose and dependent replay Six-node MovieLens-1M result-blind replay, three seeds; no private 473-node graph, online gate or LLM agent

P1 review leads, not implemented

  • MaD-RL (Meta) (Sep 24): KL/JS distribution matching vs GRPO collapse. Found after source timeout; verify equations, protocol, arXiv and code, not entropy-only substitution.
  • DeltaS: gated linear-attention drift for video KV eviction; author code linked, real hybrid checkpoint and equal-budget video tests needed.
  • KITE: KV-invariant dual tower and prefill/decode cost; verify small trainable model, not just FLOPs arithmetic.
  • PACT, DCRL: critic alignment and policy–reward coupling; review equations, permissions and matched generative baseline.
  • Trajectory-graph advantages: step credit needs nongold multi-turn trajectories and a trainable policy.
  • IterSynth: role-separated deep search needs real retrieval, independent judge and cost comparison.

Flexible recommendation for individuals/groups is IMT Atlantique/Lab-STICC, not Google/Meta, with synthetic experiments. LLM user profiling uses production data but compares four strategies offline; no eligible A/B found. From Interests to Semantic IDs is Amazon Reviews offline, retained outside industrial. Light Heads, Music Rationales, UNIQUE, MuSeR and Meta layered engagement are overlap duplicates; unfinished private paths remain so.

Complete timed-out sources, paging above 100 and author-code checks. Industrial eligibility is not implementation. Preserve metadata, figures, independent metrics, three seeds and fair split/baselines; run CUDA paths on A100/A30. Promote P1 only after formulas, public data and budget checks; no registry-only or gold-trajectory capability claims.