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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:55:08.403738Z

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 641c8e7a-2aa1-4d6e-b6ae-be667866cd6f · inbound

AIGS: Generating Science from AI-Powered Automated Falsification cites this paper.

AIGS: Generating Science from AI-Powered Automated Falsification MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-12T19:02:19.416564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:19.416564Z digest=sha256:e843484ec4cff38e170dc9758b8e1f26ad22f6e9afe68b568ed7fed0b19c8e94

Observation ccf93af4-3fb8-4b2a-983d-2f030c28c9c5 · inbound

Human-In-the-Loop Software Development Agents cites this paper.

Human-In-the-Loop Software Development Agents MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T17:06:33.956216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:06:33.956216Z digest=sha256:588aea86e272f7c592e546e729348f000255061541d2056391c1942f7b3f8978

Observation 89b86c80-ba7f-40c7-89da-7117a90f023d · inbound

Engineering Trustworthy Software: A Mission for LLMs cites this paper.

Engineering Trustworthy Software: A Mission for LLMs MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:18.460344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:18.460344Z digest=sha256:60f785450b57db35530577b27c1ff8b10ebfa2a2f2651d7abd4beb3b8eac1049

Observation 2f37515f-e2c9-4d98-9dee-2af068903482 · inbound

A Real-World Benchmark for Evaluating Fine-Grained Issue Solving Capabilities of Large Language Models cites this paper.

A Real-World Benchmark for Evaluating Fine-Grained Issue Solving Capabilities of Large Language Models MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T11:39:33.814213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:39:33.814213Z digest=sha256:77d497a14ce5b1bfc1922de57d9c6c77ba6c73dd1e75833120ee15d90f5ac647

Observation 2144ed11-5891-490d-9205-05fda2461168 · inbound

TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved? cites this paper.

TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved? MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T23:02:34.182540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:02:34.182540Z digest=sha256:572e6d5f6753d1bd325a67615899cedd2bdc2873b07e12b68265dccd4e2b71b0

Observation ae305dab-1e25-4905-a384-d31b7b278f3b · inbound

Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects cites this paper.

Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projects MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T19:53:24.003640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:53:24.003640Z digest=sha256:0a98b51a46f9912abc626c428871bbb1d24a87fd79d9c9b003699174bd00ff32

Observation 94260e64-e4a9-4932-92cf-466e9d056daf · inbound

You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects cites this paper.

You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:10.254990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:10.254990Z digest=sha256:c1119ef87f5efd0700ccbcf76c8cc8cd8f5256362b3c101ef3f4b6ca27e51bc0

Observation 272dba2c-c915-44fa-8402-7d6916085f76 · inbound

Seeker: Towards Exception Safety Code Generation with Intermediate Language Agents Framework cites this paper.

Seeker: Towards Exception Safety Code Generation with Intermediate Language Agents Framework MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:15.105206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:43:15.105206Z digest=sha256:7fe5c759391506d911da742a5feaf2180bfb87b7aeb175cf5c99bb25bb045b0a

Observation b6f41401-489d-42c4-b8f9-94e32596e76a · inbound

Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution cites this paper.

Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T18:01:38.942821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:01:38.942821Z digest=sha256:3182b26642091adf098ebfbfce93980e0c7d497719c7bf8b32c1eb790a444936

Observation aaa50ea9-8c3d-430a-b23a-1cb5802165d7 · inbound

Treefix: Enabling Execution with a Tree of Prefixes cites this paper.

Treefix: Enabling Execution with a Tree of Prefixes MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T17:19:34.952712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:19:34.952712Z digest=sha256:adb2c58dabb71984a7a5ce13b227d94528a162c6597dc069e08a8b4efd50badb

Observation 6598b7c9-0fc4-4e97-9fd1-044f90a39cac · inbound

PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification cites this paper.

PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T11:21:17.421566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:21:17.421566Z digest=sha256:b25b7e9057d0e430b6bdd67af9e00c6c373d965a6aa43e49d8d60f213f494155

Observation 761dc0c1-0dfd-446a-8703-e8b2f4e3abd0 · inbound

When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey cites this paper.

When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 136

Resolution
unresolved
no resolver link, observed 2026-08-16T04:55:08.403738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:55:08.403738Z digest=sha256:1c0bc45e515a189c84527d55866d2f4893d0a8a5987ab232171d78a93edbec3b

Observation 163c0e0a-b1d4-4a49-b94a-88a16a928667 · inbound

Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor cites this paper.

Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T23:35:58.310039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:35:58.310039Z digest=sha256:e0a9cb19b72771a5d7c6bd6bc48cd8c92297ad73e2892244e9735b64d51e56d7

Observation b084e8c5-891e-4a67-b8a5-53a2a6f365c5 · inbound

OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution cites this paper.

OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:58.427345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:58.427345Z digest=sha256:9950a1b66242ca001db42c0c233fe4752a20801078bc5f19c4a3ca202700de13

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=sha256:9c9fabf0c2fdf5709b86d0b85a64fc7e885c0d090daa3ffd327cf53879546ecb

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:cbe3502f95663a2e1cc06c43a2f06a2c3b24fe728548dfcded13f6e0f4836adf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T10:39:29.934529Z digest=sha256:c7eb1f225ed6adb0348d1b84792d767f3c42640fc3a1f66e4566b71f32a3e80e

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=sha256:549708e06949efc394c8096b6ab54ab0bfe1dfd6a9cbb2e6b29580b7ce30b480

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:38:12.144252Z digest=sha256:725c4855dbdcd2157b311b8a6a741f138e78101996b63144a289f06bfc68d361

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=sha256:4c502ef04ecc93f085b7e025264e93a89bae131e3121f11d7448e223360c4ab8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T20:26:09.112189Z digest=sha256:6c3d08a290618f0151f70a0fd8ade5b6378a2bab30b7d09c62ac5094721566c8