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Paper Citation Record · LEDGER

SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2501.05040.

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

pith.paper-citation-record.v1
2501.05040 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:30.950099Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-05T07:20:46.348656Z

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 d1a44c8d-d7e8-4be6-8f41-79a80aa6961e · inbound

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks cites this paper.

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:30.950099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:30.950099Z digest=sha256:262bcbbb79793439a5ca1ad45ab3b09df2274c4f5793d48effb7e4ca13f4c606

Observation 925eeec0-5829-427d-8f13-bb0404cd028d · inbound

SWE-bench Goes Live! cites this paper.

SWE-bench Goes Live! SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:50:04.636975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:04.636975Z digest=sha256:04e98387b9ead2fc0a0d36108790e65a355a3ba6ee8c37ab758a555b98b5f499

Observation b8a8da2d-68e5-40e2-9c27-5302e4dda0e6 · inbound

Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering cites this paper.

Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:47:22.735606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:22.735606Z digest=sha256:71a46da87ec0b06f5fb38786062b8ba4d9a5e91d1ea542d218c2a03a83eafdf4

Observation 0d47d712-a232-45d9-8689-ce8afc3db309 · inbound

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards cites this paper.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:08.461930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:08.461930Z digest=sha256:89ed879cc8ec0a616fc9ddbbedcc15999b5aa092510bc9bcc341e680f6d5a332

Observation 304004a8-5abd-4589-9031-288696c97741 · inbound

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution cites this paper.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:34.867693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:34.867693Z digest=sha256:8734de277075f16f22faa4d861aa27baf5d6eb016c7718f08a78822fb6734691

Observation 1bf4f200-d3c6-439a-b088-c3355b62f43c · inbound

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs cites this paper.

Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:10.148823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:10.148823Z digest=sha256:e54afe8d6d7b63d96a20f493692b6cbc3321157b1ab82188116d34a0196f7985

Observation 3b6fe600-7ed3-4494-8f9a-c2d6ce3cadff · inbound

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? cites this paper.

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:58.625857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:54:58.625857Z digest=sha256:9c2e9ce8bdfd9546e04d56fc2fb501e7e33f29b0769073e5845eeaa3644e850b

Observation 73f451ca-e7b1-4a5d-88d0-9cad2f3648f7 · inbound

NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition cites this paper.

NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T14:43:14.356628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:43:14.356628Z digest=sha256:9ed664ee71e2896718a9de5d8e6f43dc5c0d9023451cd392b0809e77c248c4b4

Observation 18eaafac-43e0-4b41-b261-734a35fd9407 · inbound

SERA: Soft-Verified Efficient Repository Agents cites this paper.

SERA: Soft-Verified Efficient Repository Agents SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T07:17:13.457928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:17:13.457928Z digest=sha256:79f80cc646d6dbf34cabae627eed19c65f958b180013e917ba25ea07c77263be

Observation 513c02c2-fb79-4295-8b85-3350d7cd92ab · inbound

SWE-Manager: Selecting and Synthesizing Golden Proposals Before Coding cites this paper.

SWE-Manager: Selecting and Synthesizing Golden Proposals Before Coding SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T06:22:26.970018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:22:26.970018Z digest=sha256:f3feeeed7522c30ffd17c4ee57798ff20480d712e75a30eea3d1071e9f2dc314

Observation ca1600cc-1a13-4380-be7e-930904d1137e · 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 SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.657492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:01.657492Z digest=sha256:b8eb1489eb2f87171226bb5a6c028eb7b44ebf4da0d56805a0461c613eb17b28

Observation 8ffdf682-11e9-4486-896f-744a4061a0d4 · inbound

CityRAG: Stepping Into a City via Spatially-Grounded Video Generation cites this paper.

CityRAG: Stepping Into a City via Spatially-Grounded Video Generation SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-05T07:20:46.351775Z

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=2026-07-05T07:19:01.989427Z digest=sha256:1a694b9157553f172c12381894dc57b59b448985570671a56a4ed935eb6b03a5

Observation d67a85d4-8d4c-4327-8c07-15ee76799776 · inbound

PlayCoder: Making LLM-Generated GUI Code Playable cites this paper.

PlayCoder: Making LLM-Generated GUI Code Playable SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:16:18.439395Z

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=2026-05-10T02:02:01.395176Z digest=sha256:ebca6269bbbc1bf591619d85ef6b51370e7dbc5f86918dea2b38ff5e6c3cf7ec

Observation 2592e9f1-b52b-493b-878b-c552ba4d3219 · 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 SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:11:18.952817Z

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=sha256:00648d2167cfd56c0b2106563cd2a97ad75b5ad83050f04ec7422c8166f556c5

Observation f7a7da30-7015-4d00-9fe9-5e06abf203a4 · 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 SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:07:22.388044Z

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:be1fd0dbf7b44f93490abf0f7c7ffc8cbd25cc2522339afbb4bf7d8b99870856

Observation 47d294e6-c3d3-4842-ba1b-7d0fcd29bf32 · inbound

I-WebGenBench : Evaluating Interactivity in LLM-Generated Scientific Web Applications cites this paper.

I-WebGenBench : Evaluating Interactivity in LLM-Generated Scientific Web Applications SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:42:36.268744Z

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=2026-06-28T18:53:18.645984Z digest=sha256:427a164598988aa3375727e73eef30cbd9f254e7c9e093691057c2f0e52e0d94

Observation 86135994-2d82-47fb-84f0-aab0c3560f6a · inbound

What Makes Interaction Trajectories Effective for Training Terminal Agents? cites this paper.

What Makes Interaction Trajectories Effective for Training Terminal Agents? SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:06:30.352803Z

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=2026-06-28T10:17:26.880381Z digest=sha256:bb65da09eec5e40f915aab6ba471cc5a7baeb2d1ff759ad22a82d1a6e57fe7ae

Observation 1163e25a-3b26-4af9-9ddd-a9d519041c28 · inbound

End-to-End Context Compression at Scale cites this paper.

End-to-End Context Compression at Scale SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:17:31.558821Z

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=2026-06-27T16:36:54.699174Z digest=sha256:911ea7664e9924a794f5e437427e5694feffec610c63225581d07500124e1978

Observation 3c6993aa-5948-4cf9-ae35-ca315cb06c30 · inbound

Retrieval-Oriented Code Representations in Agentic Bug Localization cites this paper.

Retrieval-Oriented Code Representations in Agentic Bug Localization SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-14T07:26:27.360126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T07:26:27.360126Z digest=sha256:dab9447f059ac5a58d14ce8efc9b6046000b66273c8cdf8faf435581f174f6bf

Observation 73170867-4d5a-40d4-86eb-86406d852bc2 · inbound

IssueExec: A Test-Driven Approach for Localizing Software Engineering Issues cites this paper.

IssueExec: A Test-Driven Approach for Localizing Software Engineering Issues SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-01T18:36:17.933726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:36:17.933726Z digest=sha256:665b1f6afa52fa4c8def0474e5e159c3253cb0d897e632af2b6cbd4784ad73a8

Observation 2370ef1a-7e5a-4fb0-a605-fd0265ccd270 · inbound

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents cites this paper.

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-01T14:11:58.501423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:11:58.501423Z digest=sha256:b0c57f2d9e360ebe47ca80da0abf73acdeb93b93794f14ca2f4883022f694ae1

Observation 66144ce3-fc94-4c1b-8d9f-feb15afd81a5 · inbound

Scrouting: Cost-Aware Routing of Coding Agents by Scouting the Repository First cites this paper.

Scrouting: Cost-Aware Routing of Coding Agents by Scouting the Repository First SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T16:21:10.867962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:21:10.867962Z digest=sha256:a62ff5fcf0d9ab8bd638ee922f52abb6f46b72f6a60a31c343231c53a21508bd