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Paper Citation Record · LEDGER

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2411.00622.

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

pith.paper-citation-record.v1
2411.00622 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:55:23.805891Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7bf6eaa5-3281-42cd-8eae-e9c9d6b79dda · inbound

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution cites this paper.

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:27:56.463824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T10:27:56.185943Z digest=sha256:d03baa4134f0036b8baf018476521d79f4eff18ac5908a2dd47e26a33d06a451

Observation 9f5d8470-9aa1-44dc-b5b7-2d9eaad6af51 · inbound

Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios cites this paper.

Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:52:19.450247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T00:50:05.344148Z digest=sha256:33a53d04b2df77520d95acd9153d66c6acb2dfd5a2fcd32a8eb2420686f9d5bc

Observation b43f7b84-0e8a-4b50-977e-99f187d79f7a · inbound

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution cites this paper.

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:23.805891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:55:23.805891Z digest=sha256:5d6fe2d0ed230a73634b449ce98f809960fe3e307f45100f4cb6a5ffcdba92a9

Observation aa7735d6-1c47-4236-95f2-80f2d81b70df · inbound

Position: Intelligent Coding Systems Should Write Programs with Justifications cites this paper.

Position: Intelligent Coding Systems Should Write Programs with Justifications Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T23:02:01.065446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:02:01.065446Z digest=sha256:6d78752ae1403d59f29aa0ac1dfdf2be1210170a0851d231265be5845564c3a3

Observation 8ace84fc-bb3e-4d5d-a3c4-4a4e5a2231f0 · inbound

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair cites this paper.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T06:12:59.574267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:12:59.574267Z digest=sha256:4b1f519a1641db57b16ba5f5403039176b28675824f663a971c3e12e06f67975

Observation 8c38d5f5-e89d-4268-891e-fb997f4b128d · inbound

Beyond Fixed Tests: Repository-Level Issue Resolution as Coevolution of Code and Behavioral Constraints cites this paper.

Beyond Fixed Tests: Repository-Level Issue Resolution as Coevolution of Code and Behavioral Constraints Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:10:47.934424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T20:12:53.062214Z digest=sha256:1c66c4d6e045296bc28ba55f2dbac7a897ea0d54579bdda8ff89c8f0fdc64607

Observation ec75a05b-116d-4631-a297-b2fdbc8b8f13 · inbound

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

Evaluating LLM Agents on Automated Software Analysis Tasks Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:01.369060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:38:12.144252Z digest=sha256:26afa0119b42580fa05ee69323c3416a79ffc56ed317ed4c3ed0ad4c2d4f58a0

Observation ab2dd76a-e47a-4447-bf2c-4e2f138bceb2 · inbound

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

Evaluating LLM Agents on Automated Software Analysis Tasks Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T16:27:44.312248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:27:44.312248Z digest=sha256:68146a6292e344891363da2bc3260b529881f9e9ee8d28aa5a2c2aa8f5ce6460

Observation e4830d19-4f64-4937-86b5-21e5d371f6b2 · inbound

Empowering Autonomous Debugging Agents with Efficient Dynamic Analysis cites this paper.

Empowering Autonomous Debugging Agents with Efficient Dynamic Analysis Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:06:30.206038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:21:16.214075Z digest=sha256:a4810da3402a9037d48cf1875052a9bba1eb45d3717443cb2209b82a543b7ee9

Observation 2b3535ea-e2cb-45aa-b1e0-8fb4228eb653 · inbound

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models cites this paper.

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:11:18.963098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T03:09:40.321500Z digest=sha256:ffcf1b7e4c1c47214570eeb18c766d79921182397e96db65f125f9728cc6a424

Observation 02073b6f-3e52-4247-9812-c139e968daa6 · inbound

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models cites this paper.

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:07:22.394391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T06:03:32.270553Z digest=sha256:4def2d023f6338c6dd3bc5fc79e51f70a0b4205b3142b7a7707bd0e73c220518

Observation 780b40cc-346d-4ec6-8eb3-bb45fd93d962 · inbound

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning cites this paper.

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:32:20.218568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T05:27:37.521421Z digest=sha256:bd57ca86763a447f6efbbfabeeeeca176e89ef6b034c0e2e52b7dfb6ca1b5cc2

Observation df055121-3073-4726-ae1c-c911e1221c8f · inbound

Agentic Software: How AI Agents Are Restructuring the Software Paradigm cites this paper.

Agentic Software: How AI Agents Are Restructuring the Software Paradigm Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:56:59.948858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T00:47:36.338265Z digest=sha256:87dc1b9733bcc9d9cbb8dc8e5e6a55d8bba74d26b3c40886cdb7fe0981bb3393

Observation f5b3f3fa-2dbb-454f-b6f1-d4d94cc9c3fd · inbound

Exploration Structure in LLM Agents for Multi-File Change Localization cites this paper.

Exploration Structure in LLM Agents for Multi-File Change Localization Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:58:06.463564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T09:13:29.422048Z digest=sha256:298efd89b15cfbb0fddff9f1537a136456dcc38d46e0a4d2adf1a429d516d0d5

Observation 344487c5-95a0-4273-88ea-aad2cd8b904c · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 276

Resolution
verified exact
arxiv_id, observed 2026-06-27T09:50:48.393477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:2ab24d0efba66a9c0fec43ec2bbb807e1f35b0f1ed7e3a160c5c90ee25913ca4

Observation 00580f66-9849-4910-8847-22cf1b41d212 · inbound

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis cites this paper.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-30T12:11:34.925761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:34.925761Z digest=sha256:0fe200609460cc80ab9ad0f04d1edb1c40e3c1d7b079e013dc4733e5f846544b