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Paper Citation Record · LEDGER

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair

As of 20 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2601.23257.

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

pith.paper-citation-record.v1
2601.23257 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:13:02.317967Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T16:05:41.788680Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T16:07:20.366001Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved56
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2bdcc28-e4d3-4281-95f1-474db3bafb68 · outbound

This paper cites Otter: Generating tests from issues to validate SWE patches.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Otter: Generating tests from issues to validate SWE patches

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:12:57.900297Z digest=sha256:2583a49f019279e9102c598ea90465886ca5614b9c8e6101b9200a856c42998f

Observation 96cb12c7-85fc-4500-b384-717ef41588e2 · outbound

This paper cites SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

Reference 2

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:12:57.977059Z digest=sha256:04104b95b54dfa6baf6a3d4293f3d628a3b2fce465bf2d5dc2d1011f2deab071

Observation eb9df4cf-9859-42cc-a6b6-811ed4953884 · outbound

This paper cites MASAI: Modular Architecture for Software-engineering AI Agents.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair MASAI: Modular Architecture for Software-engineering AI Agents

Reference 3

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source=pdf_text observed=2026-08-03T06:12:58.101030Z digest=sha256:9db458b215910163ea498f63ede1b595f69fb59dc19e7f4aeb8ac665ce6c2385

Observation 3cce7853-a96b-4800-b631-dd57a7098210 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Evaluating Large Language Models Trained on Code

Reference 4

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source=pdf_text observed=2026-08-03T06:12:58.197660Z digest=sha256:47f16eeffa8e648844598d51db1609d0d550bc1e6ec98a4800ebfa4524be0436

Observation 9ce3eb26-e42b-4b20-9123-e203cba26c0e · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair InCoder: A Generative Model for Code Infilling and Synthesis

Reference 5

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source=pdf_text observed=2026-08-03T06:12:58.298428Z digest=sha256:dee5428944260d8adfd4741f1c0fa3e7bf9b49ad2b28c3e5b1dce0ed0bbda9dd

Observation baa654e2-a101-4b50-9466-44891d1ab57c · outbound

This paper cites Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling

Reference 6

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source=pdf_text observed=2026-08-03T06:12:58.410639Z digest=sha256:86de8e58286765bcae9a19956435c3d0d02ebea63ce4f0c6d2c1cc84b2165e82

Observation cd88e305-3fac-48f2-84c8-de78b1abb6fe · outbound

This paper cites Causal reasoning in software quality assurance: A systematic review.Information and Software Technology, 178:107599, 2025.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Causal reasoning in software quality assurance: A systematic review.Information and Software Technology, 178:107599, 2025

Reference 7

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source=pdf_text observed=2026-08-03T06:12:58.554947Z digest=sha256:4e64caf4a5036b4df37a1139aae7be997a2c6acfa67d9da3653c45ddbc4b6539

Observation 1bb52611-a8d5-4ddc-ae9d-5c9c500080f8 · outbound

This paper cites Zhang, Yang Liu, and Yun Ma.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Zhang, Yang Liu, and Yun Ma

Reference 8

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source=pdf_text observed=2026-08-03T06:12:58.630423Z digest=sha256:a1b6aafc4ffae7b3fe03f7fc2236978c624559b812dfac3c309ec75704075638

Observation 6a81ab25-c6f9-45cd-8510-1f2bbbff2a86 · outbound

This paper cites Reason- ing with language model is planning with world model.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Reason- ing with language model is planning with world model

Reference 9

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source=pdf_text observed=2026-08-03T06:12:58.711090Z digest=sha256:ddd6f69bcd5ef1845523b33a9913f8094d2fceeb21a47fdd067d533f09f1ac65

Observation c7642704-3792-4a5e-a463-edd2ae804864 · outbound

This paper cites PSearch: Search-based Patch Generation in the Era of LLM-based Automated Program Repair.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair PSearch: Search-based Patch Generation in the Era of LLM-based Automated Program Repair

Reference 10

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source=pdf_text observed=2026-08-03T06:12:58.784827Z digest=sha256:9de2250a1e815074d39a52587391bea8997463527289385f51b758e0c65b9f50

Observation a547f610-6da9-471a-9988-c4eb6025b5cd · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Large Language Models Cannot Self-Correct Reasoning Yet

Reference 11

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source=pdf_text observed=2026-08-03T06:12:58.856668Z digest=sha256:b55cc7268a625e9b02fe91013aa19a1e0d2c2021eb703b52b41e04b2bfe7e9bb

Observation fc56c02d-51d0-4d67-ab96-58938cb8be85 · outbound

This paper cites Shaping program repair space with existing patches and similar code.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Shaping program repair space with existing patches and similar code

Reference 12

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source=pdf_text observed=2026-08-03T06:12:58.929380Z digest=sha256:b030b9c4515094023c6ce553806b0f07adc20d307b87c315684e3f6aec6e06f6

Observation 258c6aab-c2ac-4a81-b8aa-55212dad1350 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 13

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source=pdf_text observed=2026-08-03T06:12:59.050400Z digest=sha256:acf92d0def99a4243870cc5c4da52ce3c6123bffa4386ff1da3f7a897fa3de0f

Observation 59ff0293-ac04-4b78-bcfe-513ed2d2b6cc · outbound

This paper cites PatchPilot: A cost-efficient software engineering agent with early attempts on formal verification.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair PatchPilot: A cost-efficient software engineering agent with early attempts on formal verification

Reference 14

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source=pdf_text observed=2026-08-03T06:12:59.174465Z digest=sha256:30d925db48852bd14f61f8e560370582c6b420176273f35086f54cc278e3c662

Observation 998ee451-03b4-4afa-9828-866853767e08 · outbound

This paper cites Structured chain-of-thought prompting for code generation.ACM Transactions on Software Engineering and Methodology, 34(2):1–23, 2025.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Structured chain-of-thought prompting for code generation.ACM Transactions on Software Engineering and Methodology, 34(2):1–23, 2025

Reference 15

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source=pdf_text observed=2026-08-03T06:12:59.250985Z digest=sha256:a2e00670abbf3b93b6e361928aa643939057759560b3d55fcb6d2ab5781b1afb

Observation 5317ac6b-cf07-4cf3-bc39-6b6fe35196a3 · outbound

This paper cites Contrastive decoding: Open-ended text generation as optimization.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Contrastive decoding: Open-ended text generation as optimization

Reference 16

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source=pdf_text observed=2026-08-03T06:12:59.313680Z digest=sha256:7be9c5c58b40adddf7105a59e908d7be461d66ac0508072c271a1a29e1806585

Observation 33fc371c-089c-4f0e-97fc-9a9d0bdf1212 · outbound

This paper cites DeepSeek-V3 Technical Report.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair DeepSeek-V3 Technical Report

Reference 17

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source=pdf_text observed=2026-08-03T06:12:59.372823Z digest=sha256:ccedb55ab30a0be3b242cee40270b0394dfccea8f2bc9e8226bf58e1bff856f2

Observation 8b18f4a0-b121-4b87-814c-59fe59fc9916 · outbound

This paper cites Reliable fix patterns inferred from static checkers for automated program repair.ACM Transactions on Software Engineering and Methodology, 32(4):1–38, 2023.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Reliable fix patterns inferred from static checkers for automated program repair.ACM Transactions on Software Engineering and Methodology, 32(4):1–38, 2023

Reference 18

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source=pdf_text observed=2026-08-03T06:12:59.438762Z digest=sha256:e08402dc523325e90d911c3e8bce5c8c0ea3603cafd4488fec85dcb317171ed4

Observation 45de08c5-2cdc-432a-bc47-0e557b0b14dc · outbound

This paper cites Relrepair: Enhancing automated program repair by retrieving relevant code.arXiv preprint arXiv:2509.16701, 2025.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Relrepair: Enhancing automated program repair by retrieving relevant code.arXiv preprint arXiv:2509.16701, 2025

Reference 19

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source=pdf_text observed=2026-08-03T06:12:59.495565Z digest=sha256:2581cc6dfdbd0ff2367b8adffd33cc35b037a0928faf8c1cdf03fe2f2a8c43a7

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

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

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

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source=pdf_text observed=2026-08-03T06:12:59.574267Z digest=sha256:effc0dfb94eb791887c47c3b028e9b1741834b5085cef652d26e7ec8febab455

Observation 6910a389-e0ec-41f0-9585-4a9082307cbd · outbound

This paper cites Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute

Reference 21

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source=pdf_text observed=2026-08-03T06:12:59.645810Z digest=sha256:088a9015c26f6c53351a26233c8413f1512f8de20383830eabe600a8845274ab

Observation 00353976-6fff-402e-83ed-f67261d8b0a0 · outbound

This paper cites Alibaba lingmaagent: Improving automated issue resolution via comprehensive repository exploration.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Alibaba lingmaagent: Improving automated issue resolution via comprehensive repository exploration

Reference 22

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source=pdf_text observed=2026-08-03T06:12:59.704841Z digest=sha256:023bc12e7cef68c7afb5a0d2500a27234c5ca5d1ecda21b02417c4dd95e9cd38

Observation 70586e52-f59b-4f57-ba9c-5a9e6a353575 · outbound

This paper cites SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning

Reference 23

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source=pdf_text observed=2026-08-03T06:12:59.765055Z digest=sha256:d9d5f47865549a3d2d525d01304be77e3cf300e414050c7d4455b519363f8797

Observation 2cdbc189-6cb4-4894-9323-b42b4307dc72 · outbound

This paper cites Note on the sampling error of the difference between correlated proportions or percentages.Psychometrika, 12(2):153–157, 1947.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Note on the sampling error of the difference between correlated proportions or percentages.Psychometrika, 12(2):153–157, 1947

Reference 24

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source=pdf_text observed=2026-08-03T06:12:59.851221Z digest=sha256:373260a96f91b10fc33698955b040a5beb459e744081f16870774686f3168f11

Observation 90f6319e-8071-412c-851e-c78c6f70004f · outbound

This paper cites Moatless tools.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Moatless tools

Reference 25

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source=pdf_text observed=2026-08-03T06:12:59.914827Z digest=sha256:ec2ade53aa1296b245cac50b028e83f4d56f068a2dab9b7f72d69bb1b35a3848

Observation 13467f28-d3c4-45a7-8b02-22dba35534ac · outbound

This paper cites EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair

Reference 26

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source=pdf_text observed=2026-08-03T06:13:00.000028Z digest=sha256:1abde029efbb80a3c2fc9021d2b8d3774b1757be22a276b453334f6e01bee078

Observation 0adeacc6-a6d3-4f9a-b525-e83e7bf77761 · outbound

This paper cites In-context Example Selection with Influences.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair In-context Example Selection with Influences

Reference 27

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source=pdf_text observed=2026-08-03T06:13:00.064773Z digest=sha256:9c53ea1408c117ee87e6083b2949310da126b7cdcca4f19d40cc9a2623cf047d

Observation 230c372a-8fa6-4c7c-bba0-501e56c33982 · outbound

This paper cites Hello gpt-4o.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Hello gpt-4o

Reference 28

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source=pdf_text observed=2026-08-03T06:13:00.149640Z digest=sha256:7d7025a13147093a55901f5340d79066e2c7f852a88376dedb83263e9d0a4747

Observation a32bfe6f-3cf8-4d4a-ae74-243e7129df5d · outbound

This paper cites Introducing swe-bench verified.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Introducing swe-bench verified

Reference 29

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source=pdf_text observed=2026-08-03T06:13:00.233063Z digest=sha256:01411d3cccab0c76b69ad025ff45c2cde493ffe947e01d2cbc2a9f571c15699b

Observation d349eef6-dcde-4dd1-88de-e568ea2c0397 · outbound

This paper cites Introducing gpt-5.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Introducing gpt-5

Reference 30

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source=pdf_text observed=2026-08-03T06:13:00.326738Z digest=sha256:a6b1844050f7b74aa90e88b352047c19e93c0b8dbd7db57d18a2bf9107deb863

Observation 503c9d76-ebf5-4862-8f76-3b887d9456fb · outbound

This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 31

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source=pdf_text observed=2026-08-03T06:13:00.489365Z digest=sha256:a1f7f62b13c660ca3f32333757b5e11351c0c8873f35db4a2b893e956df86596

Observation f0789ba0-9950-4307-af53-a868895aefeb · outbound

This paper cites An analysis of patch plausibility and correctness for generate-and-validate patch generation systems.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair An analysis of patch plausibility and correctness for generate-and-validate patch generation systems

Reference 32

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source=pdf_text observed=2026-08-03T06:13:00.574775Z digest=sha256:54912bdcaa1e5ac41f23def7d83bddbba509f8cdc98e91649f8f1e57f55c0ecd

Observation 276e8e5b-23dc-4cd3-b63a-474ea92321e7 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 33

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source=pdf_text observed=2026-08-03T06:13:00.642133Z digest=sha256:c2304106f90ede3be9bc86ced83e86c49773750b6850e68058bf9097fa2f5ca4

Observation 5481bcc2-dec4-4f32-a5d1-eedb52ef041b · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023

Reference 34

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source=pdf_text observed=2026-08-03T06:13:00.698619Z digest=sha256:b7b6ca325ecb021d1ac70151bce390d55a8cecd1f8e3ef8de452ca4a81ba32e5

Observation bf18c6f4-4a35-4243-9027-7cc26a76f6ad · outbound

This paper cites Swe-agent output files.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Swe-agent output files

Reference 35

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source=pdf_text observed=2026-08-03T06:13:00.770345Z digest=sha256:b5ba941ecb5b15fa626584c41e7866a3e0241b60e1f2087ce5101d8b3399002e

Observation e93b25f9-4ab2-4ae8-a91b-71698e45385f · outbound

This paper cites Crossfix: Resolution of github issues via similar bugs recommendation.Journal of Software: Evolution and Process, 36(4):e2554, 2024.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Crossfix: Resolution of github issues via similar bugs recommendation.Journal of Software: Evolution and Process, 36(4):e2554, 2024

Reference 36

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no resolver link, observed 2026-08-03T06:13:00.855970Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:00.855970Z digest=sha256:f0c72c9c4c587d7faeab2b42bc23bb071d7a89d60dd9101c0e72304080a1cb7e

Observation 0922fbf3-ffb3-453b-b34a-e017836a1d0e · outbound

This paper cites Intervenor: Prompt the coding ability of large language models with the interactive chain of repairing.CoRR, 2023.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Intervenor: Prompt the coding ability of large language models with the interactive chain of repairing.CoRR, 2023

Reference 37

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no resolver link, observed 2026-08-03T06:13:00.973410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:00.973410Z digest=sha256:de7d480955a54f1f6609ec04827a42b5ba393dece49763cc89647bd03b30f78c

Observation cd0542a2-0419-4bef-b470-e30ce1a9afb9 · outbound

This paper cites Reverse-Engineered Reasoning for Open-Ended Generation.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Reverse-Engineered Reasoning for Open-Ended Generation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.037679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:01.037679Z digest=sha256:cff7aa85c4824306e6bf090207231e2dc053c1ee1203ee41ded8da9275fbd870

Observation 0f6d05b8-0973-45ec-ad3a-e1902839561a · outbound

This paper cites SWE-Mirror: Scaling Issue-Resolving Datasets by Mirroring Issues Across Repositories.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair SWE-Mirror: Scaling Issue-Resolving Datasets by Mirroring Issues Across Repositories

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.101595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:01.101595Z digest=sha256:eb624c8264c9bb05e120c41c71e6dbaccc6ad54dfe5e51432c9d5ae43ee389e0

Observation f2a9d93c-3f84-4067-aba2-71318faa477a · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.173486Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:01.173486Z digest=sha256:594526d4be0326f5d98423ec8ad6db636be7395aa1ea38e013635a416785efd2

Observation e9c529d4-39c3-40e0-88fe-4dfdd2219e79 · outbound

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

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.236121Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:01.236121Z digest=sha256:16e3a0854ce12c4d637f5136e88cda9676446584b5f037b7fa9edca020a6f6d0

Observation 0888322c-fd42-4992-a3e2-0fafba856dcd · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Chain-of-thought prompting elicits reasoning in large language models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.339684Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:01.339684Z digest=sha256:f7541e6a3a87ceed67ade4b693ec1a7d8d8d2d38bddb17ab253c73cfc8fd7fc2

Observation 12390223-026c-46da-b1f1-13074f8cfb38 · outbound

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

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.420797Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:01.420797Z digest=sha256:a3bd8ed2552e5f696322f8fdb88866d079ba2d494db6f39a23fd53fea2718f88

Observation fe59b548-988a-41d2-b3ee-bdf919246765 · outbound

This paper cites Demystifying llm-based software engineering agents.Proc.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Demystifying llm-based software engineering agents.Proc

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.506441Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:01.506441Z digest=sha256:f673b7d5feabd72c370744dffb04725864fbe9f77a79b18a7acfd1f062952bbd

Observation 97098852-0977-453d-aae6-501f3a812cc1 · outbound

This paper cites Automated program repair via conversation: Fixing 162 out of 337 bugs for $0.42 each using chatgpt.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Automated program repair via conversation: Fixing 162 out of 337 bugs for $0.42 each using chatgpt

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.572897Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:01.572897Z digest=sha256:3ee82eec7709267de3053471d4363d7c1fe9e76df8386096acae17adbf911a19

Observation ca1600cc-1a13-4380-be7e-930904d1137e · outbound

This paper cites SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution.

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

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source=pdf_text observed=2026-08-03T06:13:01.657492Z digest=sha256:bb81d34b1aeb1bd78a753e492e6c7624475c09e01917064aa4ee88fa1d46b9a2

Observation 3d0e21b9-0e56-4ccc-bc80-9c3efda29077 · outbound

This paper cites Enhancing repository-level software repair via repository-aware knowledge graphs.arXiv preprint arXiv:2503.21710, 2025.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Enhancing repository-level software repair via repository-aware knowledge graphs.arXiv preprint arXiv:2503.21710, 2025

Reference 47

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no resolver link, observed 2026-08-03T06:13:01.732839Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:01.732839Z digest=sha256:41758f58d79ec6b2a726a88f6112bab5c60a3dafa3ccf6cd61e1e6a7b1df7807

Observation 750c1929-975a-4f40-91c5-347566b7057c · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024

Reference 48

Resolution
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no resolver link, observed 2026-08-03T06:13:01.766694Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:01.766694Z digest=sha256:a405694720f58f754b6d4712e1c4166cfac06316e40d3d094f5667dba9f56359

Observation 0631f782-45da-4ae4-a233-2c96202ffe76 · outbound

This paper cites Lingxi: Repository-level issue resolution framework enhanced by procedural knowledge guided scaling.arXiv preprint arXiv:2510.11838, 2025.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Lingxi: Repository-level issue resolution framework enhanced by procedural knowledge guided scaling.arXiv preprint arXiv:2510.11838, 2025

Reference 49

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no resolver link, observed 2026-08-03T06:13:01.833727Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:01.833727Z digest=sha256:97b26f8d5cba4032d36f9ba7b6699e130aada676ddd6fb4d1f1b5b6bbbafa8c3

Observation a8bbf2a1-0bc9-4e57-a6a3-13009545ba79 · outbound

This paper cites Compositional ex- emplars for in-context learning.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Compositional ex- emplars for in-context learning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.880651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:01.880651Z digest=sha256:3b4d7865d663ba08e7e6c6d425fd7013b45ef33e76dc62a4c4bb0807ab29b9b0

Observation ea9ceb8e-3290-4da8-93d9-6da6096e5b36 · outbound

This paper cites Thinkrepair: Self- directed automated program repair.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Thinkrepair: Self- directed automated program repair

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:01.936484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:01.936484Z digest=sha256:696fd6324d90411c1aaec383ece4649811341b52c28518f4ee8e60ca4738cf1d

Observation a50e4beb-c1b5-483b-9231-502288d13e66 · outbound

This paper cites Rest-mcts*: Llm self-training via process reward guided tree search.Advances in Neural Information Processing Systems, 37:64735–64772, 2024.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Rest-mcts*: Llm self-training via process reward guided tree search.Advances in Neural Information Processing Systems, 37:64735–64772, 2024

Reference 52

Resolution
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no resolver link, observed 2026-08-03T06:13:02.003774Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:02.003774Z digest=sha256:ac2e607576bdd79da3ed97d157fde1bf7482cffb37f2827717ee9d323ec5fbdd

Observation a0acc530-0a5a-4d0a-8425-6a02d0d1ee15 · outbound

This paper cites Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:02.069207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:02.069207Z digest=sha256:bf5980e37a36e253733f3b71480411ae038f70ad822d09a9cf040bfde5b83f01

Observation 182f0678-9e7e-450b-8253-ee23805d4204 · outbound

This paper cites Meta prompting for ai systems.arXiv preprint arXiv:2311.11482, 2023.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Meta prompting for ai systems.arXiv preprint arXiv:2311.11482, 2023

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:02.136142Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T06:13:02.136142Z digest=sha256:b13595758d08a44257b4defd2c9850169b579a18b823baa6eb261556ee134d9a

Observation 746412d1-844e-4245-bbe3-7bd5872275ea · outbound

This paper cites Autocoderover: Au- tonomous program improvement.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Autocoderover: Au- tonomous program improvement

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:02.221793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:02.221793Z digest=sha256:0d01f3f5eb6c6c76688a641b6b4f5bce7df7a1baa5d69c56e215d5eac7cf970f

Observation 9a8da43e-9947-4b4c-945c-8004ca2278fc · outbound

This paper cites Calls/issue.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Calls/issue

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T06:13:02.317967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:02.317967Z digest=sha256:b537cdfad611a2bf542710420d5b3931553039ed03d35625cf767f5e365633c0

Observation 9d52bcad-d181-4492-b075-c65f110be935 · outbound

This paper cites an unresolved cited work.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair Unresolved cited work

Reference 2025

Resolution
parse uncertain
no resolver link, observed 2026-08-03T06:13:00.406999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:13:00.406999Z digest=sha256:22979a28fa3be091324c630419f5cbc96d6b93fe5edf9876c4f1d3b4ef9dd5c8

Pith citing papers

Observation a07f1038-0bcb-465a-83eb-60ef62445800 · inbound

Bug Report Specification Refinement with Trajectory Guidance for Automated Program Repair cites this paper.

Bug Report Specification Refinement with Trajectory Guidance for Automated Program Repair From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:07:20.367529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-10T16:05:41.788680Z digest=sha256:eb19c2b91f618018ffcf9d50a67604e66a877d805a0a293cc51fc48efad5605c