# arXiv Scout Coverage — 2026-08-02_02-13

- Queries run: 14
- Total pages fetched: 17
- Total entries seen: 1000
- Total unique papers kept before cross-query dedupe: 1000
- Total duplicates skipped within queries: 0

## Per-query coverage

### primary-cs.AI
- Query: `cat:cs.AI`
- Backfill window: 72h
- Page size: 100
- Max pages: 5
- Pages fetched: 1
- Entries seen: 100
- Unique papers kept: 100
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:59:56+00:00
- Oldest seen: 2026-07-30T10:40:58+00:00
- Stop reason: fetch_failed
- Errors:
  - page=2 start=100 error=fetch_failed
- Pages:
  - page 1 start=0 entries=100 newest=2026-07-30T17:59:56+00:00 oldest=2026-07-30T10:40:58+00:00 rate_limited=False status=200

### primary-cs.LG
- Query: `cat:cs.LG`
- Backfill window: 72h
- Page size: 100
- Max pages: 5
- Pages fetched: 1
- Entries seen: 100
- Unique papers kept: 100
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:59:56+00:00
- Oldest seen: 2026-07-30T07:14:01+00:00
- Stop reason: fetch_failed
- Errors:
  - page=2 start=100 error=fetch_failed
- Pages:
  - page 1 start=0 entries=100 newest=2026-07-30T17:59:56+00:00 oldest=2026-07-30T07:14:01+00:00 rate_limited=False status=200

### primary-cs.CL
- Query: `cat:cs.CL`
- Backfill window: 72h
- Page size: 100
- Max pages: 5
- Pages fetched: 1
- Entries seen: 100
- Unique papers kept: 100
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:59:11+00:00
- Oldest seen: 2026-07-29T17:04:36+00:00
- Stop reason: cutoff_reached
- Pages:
  - page 1 start=0 entries=100 newest=2026-07-30T17:59:11+00:00 oldest=2026-07-29T17:04:36+00:00 rate_limited=False status=200

### topic-world-model
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND ("world model" OR world-model)`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 0
- Entries seen: 0
- Unique papers kept: 0
- Duplicates skipped: 0
- Newest seen: n/a
- Oldest seen: n/a
- Stop reason: fetch_failed
- Errors:
  - page=1 start=0 error=fetch_failed

### topic-agent
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND agent`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 1
- Entries seen: 50
- Unique papers kept: 50
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:59:11+00:00
- Oldest seen: 2026-07-30T09:47:58+00:00
- Stop reason: fetch_failed
- Errors:
  - page=2 start=50 error=fetch_failed
- Pages:
  - page 1 start=0 entries=50 newest=2026-07-30T17:59:11+00:00 oldest=2026-07-30T09:47:58+00:00 rate_limited=False status=200

### topic-tool-use
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND ("tool use" OR tool-use)`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 0
- Entries seen: 0
- Unique papers kept: 0
- Duplicates skipped: 0
- Newest seen: n/a
- Oldest seen: n/a
- Stop reason: fetch_failed
- Errors:
  - page=1 start=0 error=fetch_failed

### topic-memory
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND memory`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 2
- Entries seen: 100
- Unique papers kept: 100
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:59:56+00:00
- Oldest seen: 2026-07-27T15:36:18+00:00
- Stop reason: cutoff_reached
- Pages:
  - page 1 start=0 entries=50 newest=2026-07-30T17:59:56+00:00 oldest=2026-07-29T14:47:19+00:00 rate_limited=False status=200
  - page 2 start=50 entries=50 newest=2026-07-29T14:15:29+00:00 oldest=2026-07-27T15:36:18+00:00 rate_limited=False status=200

### topic-reasoning
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND reasoning`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 2
- Entries seen: 100
- Unique papers kept: 100
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:57:41+00:00
- Oldest seen: 2026-07-29T04:37:59+00:00
- Stop reason: cutoff_reached
- Pages:
  - page 1 start=0 entries=50 newest=2026-07-30T17:57:41+00:00 oldest=2026-07-30T05:39:01+00:00 rate_limited=False status=200
  - page 2 start=50 entries=50 newest=2026-07-30T04:34:27+00:00 oldest=2026-07-29T04:37:59+00:00 rate_limited=False status=200

### topic-llm
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND (LLM OR "large language model" OR "large language models")`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 2
- Entries seen: 100
- Unique papers kept: 100
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:58:58+00:00
- Oldest seen: 2026-07-30T05:08:15+00:00
- Stop reason: max_pages_reached
- Pages:
  - page 1 start=0 entries=50 newest=2026-07-30T17:58:58+00:00 oldest=2026-07-30T11:50:10+00:00 rate_limited=False status=200
  - page 2 start=50 entries=50 newest=2026-07-30T11:49:46+00:00 oldest=2026-07-30T05:08:15+00:00 rate_limited=False status=200

### topic-quantization
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND quantization`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 1
- Entries seen: 50
- Unique papers kept: 50
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:43:36+00:00
- Oldest seen: 2026-07-21T08:58:36+00:00
- Stop reason: cutoff_reached
- Pages:
  - page 1 start=0 entries=50 newest=2026-07-30T17:43:36+00:00 oldest=2026-07-21T08:58:36+00:00 rate_limited=False status=200

### topic-open-source
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND ("open source" OR open-source)`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 1
- Entries seen: 50
- Unique papers kept: 50
- Duplicates skipped: 0
- Newest seen: 2026-07-30T16:41:55+00:00
- Oldest seen: 2026-07-28T15:42:53+00:00
- Stop reason: cutoff_reached
- Pages:
  - page 1 start=0 entries=50 newest=2026-07-30T16:41:55+00:00 oldest=2026-07-28T15:42:53+00:00 rate_limited=False status=200

### topic-self-improvement
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND ("self-improvement" OR "self improvement")`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 1
- Entries seen: 50
- Unique papers kept: 50
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:34:01+00:00
- Oldest seen: 2026-06-29T14:20:47+00:00
- Stop reason: cutoff_reached
- Pages:
  - page 1 start=0 entries=50 newest=2026-07-30T17:34:01+00:00 oldest=2026-06-29T14:20:47+00:00 rate_limited=False status=200

### topic-fine-tuning
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND ("fine-tuning" OR finetuning OR finetune)`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 2
- Entries seen: 100
- Unique papers kept: 100
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:57:10+00:00
- Oldest seen: 2026-07-27T15:18:06+00:00
- Stop reason: cutoff_reached
- Pages:
  - page 1 start=0 entries=50 newest=2026-07-30T17:57:10+00:00 oldest=2026-07-29T13:23:30+00:00 rate_limited=False status=200
  - page 2 start=50 entries=50 newest=2026-07-29T12:23:15+00:00 oldest=2026-07-27T15:18:06+00:00 rate_limited=False status=200

### topic-benchmark
- Query: `(cat:cs.AI OR cat:cs.LG OR cat:cs.CL) AND (benchmark OR benchmarks)`
- Backfill window: 96h
- Page size: 50
- Max pages: 2
- Pages fetched: 2
- Entries seen: 100
- Unique papers kept: 100
- Duplicates skipped: 0
- Newest seen: 2026-07-30T17:59:56+00:00
- Oldest seen: 2026-07-30T05:41:44+00:00
- Stop reason: max_pages_reached
- Pages:
  - page 1 start=0 entries=50 newest=2026-07-30T17:59:56+00:00 oldest=2026-07-30T12:17:31+00:00 rate_limited=False status=200
  - page 2 start=50 entries=50 newest=2026-07-30T12:06:53+00:00 oldest=2026-07-30T05:41:44+00:00 rate_limited=False status=200

## Priority summary
- High-priority papers: 367
- Priority threshold: 4
- Topic hits:
  - benchmark: 100
  - fine-tuning: 100
  - llm: 100
  - memory: 100
  - reasoning: 100
  - agent: 50
  - open-source: 50
  - quantization: 50
  - self-improvement: 50
  - tool-use: 0
  - world-model: 0
- Top papers:
  - 18.0 :: MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems [agent, benchmark, llm, reasoning, self-improvement]
  - 16.0 :: Can Agents Deceive? Evaluating Reasoning and Deception in ParliamentBench using a Social Deduction Game [agent, benchmark, llm, open-source, reasoning]
  - 15.0 :: MemHarness: Memory Is Reconstructed, Not Replayed [agent, llm, memory, reasoning]
  - 15.0 :: IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD [agent, benchmark, fine-tuning, self-improvement]
  - 13.0 :: ORCA-bench: How Ready Are Language Model Agents for Oncall? [agent, benchmark, llm, reasoning]
  - 13.0 :: ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding [benchmark, llm, memory, reasoning]
  - 13.0 :: SKILL-KD: Contrastive Skill Distillation for LLM Agents [agent, benchmark, llm, memory]
  - 13.0 :: ClawTrack: Towards Trace-Level Evaluation and Improvement of Real-World Autonomous Agents [agent, benchmark, llm, reasoning]
  - 13.0 :: Contrastive Reinforced Policy Optimization via Privileged Self-Distillation [agent, benchmark, llm, reasoning]
  - 12.0 :: RRM: Experience-Driven Reflective Retrieval Memory for Long-Horizon Multimodal Reasoning [agent, memory, reasoning]
  - 12.0 :: MMLDSum-LLM: Multimodal Long-Document Summarization with Visual-Alignment and Keyword-Aware [benchmark, fine-tuning, llm, open-source]
  - 12.0 :: MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos [benchmark, llm, open-source, reasoning]
  - 12.0 :: ChronoMem: Version Control and Semantic Rollback for Large Language Model Agent Memory [benchmark, llm, memory, open-source]
  - 12.0 :: Albilich: Steerable Proof-State Orchestration for LLM-Based Mathematical Research with CAS Integration [benchmark, llm, open-source, reasoning]
  - 12.0 :: Rehearse: Stepping Back from the Confidence Cliff in Self-Improving Autoresearch [llm, memory, self-improvement]
  - 11.0 :: Inducing language models to assert their own consciousness restores human beliefs and values [fine-tuning, llm, reasoning]
  - 11.0 :: Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering [agent, benchmark, self-improvement]
  - 11.0 :: Cybersecurity Detection Classification with Reasoning-enabled Language Models [fine-tuning, llm, reasoning]
  - 11.0 :: Paying for Honesty Without Knowing the Truth: Reputation-Penalty Design for LLM Marketplace Agents [agent, llm, reasoning]
  - 11.0 :: ConMem: Contribution-Aware Memory for Long-Horizon Manufacturing Inspection Logs [llm, memory, reasoning]