# E72 mission: research_literature

- mission: `msn-af370e2c5e`
- state: **COMPLETED** / COMPLETED
- execution class: REAL_EXTERNAL_SOURCE

**method**: arXiv Atom API search; abstracts parsed verbatim; claims/hypotheses separated lexically

**limitations**: Abstract-level analysis only; no full-text reading. Source quality is not peer-review verified. Absence of a detected tension is not evidence of agreement.

## Deliverable
```json
{
 "acceptance": true,
 "execution_class": "REAL_EXTERNAL_SOURCE",
 "extracted_claims": [
  {
   "citation": "http://arxiv.org/abs/2611.15207v1",
   "claims": [
    "We propose verification harnesses, executable harnesses that model all legal usages of an API, so that a proof about the harness is a proof about every well-behaved client."
   ],
   "hypotheses": [],
   "id": "http://arxiv.org/abs/2611.15207v1",
   "published": "2026-11-11T09:03:05Z",
   "title": "Pre-QED: Environment Specifications for Agentic Verification"
  },
  {
   "citation": "http://arxiv.org/abs/2610.34634v1",
   "claims": [
    "We introduce AgentProofBench, which connects paired tests of a frozen acceptance rule to execution from identical saved openings."
   ],
   "hypotheses": [],
   "id": "http://arxiv.org/abs/2610.34634v1",
   "published": "2026-10-25T23:20:28Z",
   "title": "AgentProofBench: Benchmarking Reusable Verifiers for Web Agents"
  },
  {
   "citation": "http://arxiv.org/abs/2610.33633v1",
   "claims": [],
   "hypotheses": [],
   "id": "http://arxiv.org/abs/2610.33633v1",
   "published": "2026-10-24T12:26:13Z",
   "title": "ProbeID: Verifying MCP Tool Identity for LLM Agents under Registry Drift"
  },
  {
   "citation": "http://arxiv.org/abs/2610.31130v1",
   "claims": [],
   "hypotheses": [
    "Experiments show that monitoring can recover the missing distinction in favorable settings but may remain undecided for rare groups, small effects, or missing observations."
   ],
   "id": "http://arxiv.org/abs/2610.31130v1",
   "published": "2026-10-22T11:50:38Z",
   "title": "Post-Audit Mirage: Identifiability Limits of Offline Agent Verification"
  },
  {
   "citation": "http://arxiv.org/abs/2610.29722v1",
   "claims": [
    "First, individually strong techniques from different phases of a RAG pipeline do not necessarily compose: three retrieval techniques predict a +47% combined improvement but deliver only +17% when used together."
   ],
   "hypotheses": [
    "Third, the best composition changes as the corpus grows: the combination that wins on a small corpus may not remain best at large scale."
   ],
   "id": "http://arxiv.org/abs/2610.29722v1",
   "published": "2026-10-21T13:30:29Z",
   "title": "Retrieval Augmented Generation Compositionality"
  },
  {
   "citation": "http://arxiv.org/abs/2610.29174v1",
   "claims": [
    "To address this challenge, we propose LocalAgent, a collaborative agentic framework that integrates the complementary strengths of a generalist MLLM and lightweight specialist verifiers.",
    "Experiments show that LocalAgent improves mean accuracy by 4.9% over the strongest CoT-RFT baseline while invoking a verifier on only 12.13% of samples and preserving the general multimodal capabilities of the underlying MLLM."
   ],
   "hypotheses": [
    "This task requires both global semantic perception and precise examination of subtle local evidence, since semantically similar objects may differ only in small suspicious regions."
   ],
   "id": "http://arxiv.org/abs/2610.29174v1",
   "published": "2026-10-21T04:04:32Z",
   "title": "LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency"
  }
 ],
 "limitations": "Abstract-level analysis only; no full-text reading. Source quality is not peer-review verified. Absence of a detected tension is not evidence of agreement.",
 "method": "arXiv Atom API search; abstracts parsed verbatim; claims/hypotheses separated lexically",
 "mission": "research_literature",
 "possible_tensions": [],
 "quality_assessment": {
  "citation_policy": "every cited id is one of the fetched entries; no citation is invented",
  "conflict_policy": "tensions are lexical flags only; they are not verified contradictions and are labelled verified:false",
  "peer_review": "not established by arXiv metadata; preprints",
  "recency": "sorted by submission date"
 },
 "query": "https://export.arxiv.org/api/query?search_query=all:%22agent%20verification%22&start=0&max_results=6&sortBy=submittedDate&sortOrder=descending",
 "source_count": 6,
 "sources": [
  {
   "authors": [
    "Tristan Lim",
    "Haoxin Tu",
    "Mehtab Zafar",
    "Zhengxiong Luo",
    "Abhik Roychoudhury"
   ],
   "categories": [
    "cs.SE"
   ],
   "id": "http://arxiv.org/abs/2611.15207v1",
   "published": "2026-11-11T09:03:05Z",
   "title": "Pre-QED: Environment Specifications for Agentic Verification"
  },
  {
   "authors": [
    "Jingjie Ning",
    "Xueqi Li",
    "Yi Lu",
    "Yibo Kong"
   ],
   "categories": [
    "cs.MA",
    "cs.AI",
    "cs.SE"
   ],
   "id": "http://arxiv.org/abs/2610.34634v1",
   "published": "2026-10-25T23:20:28Z",
   "title": "AgentProofBench: Benchmarking Reusable Verifiers for Web Agents"
  },
  {
   "authors": [
    "Guanxing Chen",
    "Sining Zhang",
    "Haohuai He",
    "Qiujie Lv",
    "Yu-An Huang",
    "Zhi-An Huang"
   ],
   "categories": [
    "cs.CR",
    "cs.AI"
   ],
   "id": "http://arxiv.org/abs/2610.33633v1",
   "published": "2026-10-24T12:26:13Z",
   "title": "ProbeID: Verifying MCP Tool Identity for LLM Agents under Registry Drift"
  },
  {
   "authors": [
    "Aman Behera",
    "Payal Payal"
   ],
   "categories": [
    "cs.AI",
    "cs.LG"
   ],
   "id": "http://arxiv.org/abs/2610.31130v1",
   "published": "2026-10-22T11:50:38Z",
   "title": "Post-Audit Mirage: Identifiability Limits of Offline Agent Verification"
  },
  {
   "authors": [
    "Ido Levy",
    "Segev Shlomov",
    "Leshem Choshen"
   ],
   "categories": [
    "cs.CL",
    "cs.AI"
   ],
   "id": "http://arxiv.org/abs/2610.29722v1",
   "published": "2026-10-21T13:30:29Z",
   "title": "Retrieval Augmented Generation Compositionality"
  },
  {
   "authors": [
    "Jiachen Guo",
    "Xinshan Zhu",
    "Boyun Wang",
    "Yanyan Liang",
    "Jun Wan",
    "Feng Lin",
    "Ajian Liu"
   ],
   "categories": [
    "cs.CV"
   ],
   "id": "http://arxiv.org/abs/2610.29174v1",
   "published": "2026-10-21T04:04:32Z",
   "title": "LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency"
  }
 ],
 "summary": "LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency\nMultimodal large language models (MLLMs) have made rapid progress in general visual understanding, yet they still struggle with fine-grained instance-level consistency verification, where the goal is to determine whether two images depict the exact same physical object under varying viewpoints, illumination, and backgrounds. We propose verification harnesses, executable harnesses that model all legal usages of an API, so that a proof about the harness is a proof about every well-behaved client. The overarching vision is that verifying an open-source library should become as routine as fuzzing it, with a guarantee that covers every well-behaved client rather than a single scenario like a fuzzing harness. It remains unclear whether their isolated gains survive composition, whether retrieval quality and answer faithfulness favor the same design choices, and whether conclusions from small corpora hold at large scale.",
 "word_count": 1293
}
```