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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 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 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:49:39.579721Z

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
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  • 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:a0d4fe69ef1bd7365f1f613e7b4f675621a2493b8eb68c300d242ff78705d575

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=sha256:4612eb2084ad78125ad8f91c01eb4f77e1e24bc123574c5835b538f702f9d7aa

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:f4fef8933067d5db38c9c56ae4ff389f1efe15abde44369dd6a212a810a2dd99

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=sha256:1997d33055be53a946cab94cddf4f76ffb3033f50bf8f5b385e8dd9bdeddec5f

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=sha256:86558e907c1e1bd46c35a966d153a438766457a54e73b2957be3b2786cb5dc66

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:d3f219113ba6dc86a73d92e5022edbac7313c153f7a44374e678c71dc281b3c1

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=sha256:3832c5c068e162f079f0b110356cd26ca35669ed9e68427d1bacf776586fcd44

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=sha256:4131b3df5715d866b03f94b694e0e73ddb4b447ba1ccb4e5191dc63092f42b92

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:ec647367fa75ccff3ee15cf37b0bb98d81af7fb2ea90cdc7134fdbdba9bb6eee

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=sha256:0c07ac351362ff01db9f39a8a62605e1d63a4f3a3a32cd94cb9db81751cc7c52

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:f6baeb1e1b21274eb5821d5e3d20de562bb73eabfeb237ce0f2e7621cc4cf91f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-05T07:19:01.989427Z digest=sha256:071580ecbba54bb598e0ab46c7217847ad2e13ff1bd30b0b07ba9264b84e0edb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:02:01.395176Z digest=sha256:30c73254b1247105e1c40bcf3695abe6784a368bdf4017958e7716e16ff8ef02

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T03:09:40.321500Z digest=sha256:a0cfcedbaa262e35beae66ccaff1f4e235fdd00a0d8ae3f358bbf06b5b2f8dfd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T06:03:32.270553Z digest=sha256:74a7fb9981782aafb4e8c4cd39b92ac47765ef8274af3a1013946b44da4ccf09

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T18:53:18.645984Z digest=sha256:57a97e0f249928ff249ba4d5088e89076130b2d8684ab45e06ddd7ba2db7909a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:17:26.880381Z digest=sha256:44465fd6d37f85238890fcafabae5af435ec986520e182c7ec04ddc47b86c5e8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:36:54.699174Z digest=sha256:a099bc9ba3efb6ee55b61d43b6e94ac3a6c23c5f93a64714497b0f3868587b74

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=sha256:8bcf5af4a612ad2723a5155cc844139ce16faf77ad9d29a4d14a0d176e18507c

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=sha256:9509ec926836bc579c8ee7d0393b509546094f60116bc9d6186343350bed006c

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=sha256:498eae3dfef9119d3da5191cf9d37faa47f8de1a8a0367339fa0c64e92c20a52

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:d60d66232d901ed1742151dbe6cbbc413d178d19d26074f7b0b2941bf2c10b50

Observation a8219774-6e1e-46d6-a60b-ae7aa2e4f535 · inbound

CodeGrep: An RL-Trained Retrieval Agent for LLM Coding Agents cites this paper.

CodeGrep: An RL-Trained Retrieval Agent for LLM Coding Agents SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T21:49:39.579721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:49:39.579721Z digest=sha256:470ff851fd12a6ca3f39e18f44e7b1e9f0d60db6427fc1ad1798ef040bc9459a