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Paper Citation Record · LEDGER

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.17927.

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

pith.paper-citation-record.v1
2403.17927 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:56:56.920436Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:41:16.043618Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 88af69d0-607c-46fe-bdd1-d02b36db2ab2 · inbound

MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection cites this paper.

MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T18:56:56.920436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:56:56.920436Z digest=sha256:b8adf1a889ad5a4bb3cfb1042cf3c727c4c6183dbd9f99909bda65e7c27dfdbf

Observation f962a576-452d-4071-804d-1b6bbbdc35f7 · inbound

IFEvalCode: Controlled Code Generation cites this paper.

IFEvalCode: Controlled Code Generation MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T11:44:34.077446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.077446Z digest=sha256:bd73aa487b0a843a212230760961ae21bc47de22e75f18a2d32290cde3d79fe2

Observation b54e7e06-f52b-4df2-8c83-dc73cfe2f90f · inbound

Emergent Coordination in Multi-Agent Language Models cites this paper.

Emergent Coordination in Multi-Agent Language Models MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:41:16.046500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T10:39:29.934529Z digest=sha256:47b0ad519b12c256a3b393617e2a982757deb22f996988807d8da2df825882e4

Observation 35c04a9a-159b-452c-8f49-c0a93652055f · inbound

Beyond Accuracy: Behavioral Dynamics of Agentic Multi-Hunk Repair cites this paper.

Beyond Accuracy: Behavioral Dynamics of Agentic Multi-Hunk Repair MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T22:21:20.761501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:21:20.761501Z digest=sha256:3b41fb412caf778d8ac7c8f6c3a0329c3f2d4fd8213c73ec253d2fa70bac1461

Observation 6480fa28-c094-4881-9bfa-4ae650623c42 · inbound

Evaluating LLM Agents on Automated Software Analysis Tasks cites this paper.

Evaluating LLM Agents on Automated Software Analysis Tasks MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:01.360957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:38:12.144252Z digest=sha256:5fa46ac60b6cc6ee1d4c14394991271f9e40e2444d3242559c4eb95b65c0a91c

Observation 3cd9a3df-fc73-4606-8c0e-1a6a53ad604d · inbound

Evaluating LLM Agents on Automated Software Analysis Tasks cites this paper.

Evaluating LLM Agents on Automated Software Analysis Tasks MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-02T16:27:45.245965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:27:45.245965Z digest=sha256:88d62691c0fe37706c9fe01bffaef394ef2aca88054b88cc0ed12a00918d9459

Observation 80119d7a-dc19-4c73-b98f-9b759c19d099 · inbound

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework cites this paper.

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:16:06.829737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T20:26:09.112189Z digest=sha256:a94f679ed35953a2839975bfb748b17f73d5c733868807ee2caeb1f7da72915d