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Paper Citation Record · LEDGER

Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection

As of 11 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 2 inbound Pith citation observations for arXiv:2604.06633.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.06633 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:15:02.002711Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T09:14:13.259838Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

5 of 5 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a2b671e7-ac0d-475f-a9e7-b7d472ec14e6 · outbound

This paper cites Kaixuan Li, Sen Chen, Lingling Fan, Ruitao Feng, Han Liu, Chengwei Liu, Yang Liu, and Yixiang Chen.

Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection Kaixuan Li, Sen Chen, Lingling Fan, Ruitao Feng, Han Liu, Chengwei Liu, Yang Liu, and Yixiang Chen

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T06:19:11.011623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:15:02.002711Z digest=sha256:965fd44b5b720a82e110a464fa78589468f205e2c0a6613c14fbad6dce7b60ad

Observation e71a1e20-fb20-40df-8c66-9da3ae776b50 · outbound

This paper cites InPro- ceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foun- dations of Software Engineering, pages 921–933.

Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection InPro- ceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foun- dations of Software Engineering, pages 921–933

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:15:57.764354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:15:02.002711Z digest=sha256:49f9d449bf48d941ba5cd11b763cf2f200065c18d6e9d3386d33247e29076bd0

Observation ab97545c-42c7-4959-8272-1328825b49f0 · outbound

This paper cites From CVE entries to verifiable exploits: An automated multi- agent framework for reproducing CVEs.CoRR, abs/2509.01835.

Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection From CVE entries to verifiable exploits: An automated multi- agent framework for reproducing CVEs.CoRR, abs/2509.01835

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:15:57.776171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:15:02.002711Z digest=sha256:56f2bbdd962511fae4262901b66d4140c249ff2fcc9e4b07b088323b42a93492

Observation e3371784-3171-44d4-ae69-f533ac48659d · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:26:04.564922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:15:02.002711Z digest=sha256:804497c39ba8998dbaf5bee525665dcc8e6b958e50094dbc1d1e886187959b42

Observation 05abc086-5144-4462-84f1-7b4743e70f45 · outbound

This paper cites verbose database queries correlate with null results.

Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection verbose database queries correlate with null results

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:15:57.721026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:15:02.002711Z digest=sha256:db30959e45ea84087925d38bc73ca607d05d861ea01e005a754323f026f4a441

Pith citing papers

Observation 91be2000-4740-47c3-9448-9b6db5d06b26 · inbound

Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery cites this paper.

Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-10T03:14:08.043876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T03:11:26.513954Z digest=sha256:e476a38634942ea802767aafae4dc34a9829c9dbc7296ef1eb1b84e9bb7e4386

Observation a9d7db21-4b0d-4f4b-aef9-440362ee444e · inbound

When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents cites this paper.

When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-03T09:17:47.931667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T09:14:13.259838Z digest=sha256:779a1ca217add5f8a2fab3ab328ec6a988624c8b37e4a8974dd17e51fe6b4734