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Paper Citation Record · LEDGER

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2507.22580.

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

pith.paper-citation-record.v1
2507.22580 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:34:33.532158Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T00:02:24.352947Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:02:25.411935Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact7
  • verified fuzzy4
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fd0d1b9-f4c8-4ee3-828c-714bf41e2f0c · outbound

This paper cites This approach ensures a direct and fair comparison against leading techniques like APPT and CA CHE, which use the same evaluation framework.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment This approach ensures a direct and fair comparison against leading techniques like APPT and CA CHE, which use the same evaluation framework

Reference 1

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raw_fallback, observed 2026-08-06T11:34:37.470058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:30.269045Z digest=sha256:3afdb442c1a4ac315d06eaede0834d24f6d7ad4f6a3de7ffc0b2a4cade3c1fa6

Observation d10f5620-c578-4032-a92a-ed7d9e96d221 · outbound

This paper cites an unresolved cited work.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-06T11:34:37.111735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:30.353452Z digest=sha256:f958123af9740500db215afc623eb2e960ea3ff4e2c10e69d1392115b63904e2

Observation b344c3e2-6b4e-48f2-9282-80a0c0944c4d · outbound

This paper cites The patch also introduces a new variable `ydotonscale2` that is not used anywhere in the original code, which is not a good practice.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment The patch also introduces a new variable `ydotonscale2` that is not used anywhere in the original code, which is not a good practice

Reference 3

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raw_fallback, observed 2026-08-06T11:34:36.849978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:30.455920Z digest=sha256:68906768c2d0209b7d46095c3eea24b21ec0d59efdc643fc6549948ef4755a4c

Observation c8056aef-1463-458c-9de7-ba2132d72d7e · outbound

This paper cites A Survey of Learning-based Automated Program Repair.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment A Survey of Learning-based Automated Program Repair

Reference 4

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local_arxiv, observed 2026-08-06T11:34:34.687557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:30.561564Z digest=sha256:a7cc96678929e81f0172cfe1710c86142cc97435c3a2a0fd037c51a89ec22a34

Observation f4e4a80b-05d8-4ed3-a823-a3e2e3e71303 · outbound

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

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment An analysis of patch plausibility and correctness for generate -and-validate patch generation systems,

Reference 5

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raw_fallback, observed 2026-08-06T11:34:36.579171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:30.694420Z digest=sha256:9f8cf180e2a0200c7ef241ffb3844659bbd9d2b3e05ff6bba3905fc1048ed89c

Observation 8e7072a2-f1b7-4de6-a7d1-16eb639fbe4c · outbound

This paper cites EvoSuite: automatic test suite generation for object - oriented software,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment EvoSuite: automatic test suite generation for object - oriented software,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:31.231673Z digest=sha256:eaffa0a819513567f3579dfd4b1e90588c3c0e5c9f582b8d28ea35e2a4206095

Observation a24464d3-c494-4421-ab24-f57063dd667e · outbound

This paper cites Automated patch correctness assessment: how far are we?,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Automated patch correctness assessment: how far are we?,

Reference 7

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no resolver link, observed 2026-08-06T11:34:30.937247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:30.937247Z digest=sha256:b2461c1c93f06b0a744f0afca66a60ef1c1fec8dccc8d660c182bd73c6c12300

Observation 71ea3e49-97d0-4ad2-b256-5c9ce51a83a2 · outbound

This paper cites Is the cure worse than the disease? overfitting in automated program repair,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Is the cure worse than the disease? overfitting in automated program repair,

Reference 8

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no resolver link, observed 2026-08-06T11:34:31.028535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:31.028535Z digest=sha256:e8b1a169791424359abb3aca81edd7465d36755528a6a0f5adf72c4f4330594f

Observation f3744043-d065-4213-82de-ef01d1377e5d · outbound

This paper cites Identifying test -suite-overfitted patches through test case generation,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Identifying test -suite-overfitted patches through test case generation,

Reference 9

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no resolver link, observed 2026-08-06T11:34:31.100352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:31.100352Z digest=sha256:6bbf6b0df55eb50696931a90671b9d2e5b3a24bcaaf71f0b5f1b09ae01c0504d

Observation 5c99c56a-9006-4e4a-9d0b-afcb8794681b · outbound

This paper cites Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning,

Reference 10

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raw_fallback, observed 2026-08-06T11:34:35.479687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:31.646400Z digest=sha256:d0fc6b212a074077acb603448b33253a8e558dbbd777d937a7206f39fcd95318

Observation cb987f10-5330-4064-8f3c-7300defeafa9 · outbound

This paper cites Randoop: feedback -directed random testing for Java,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Randoop: feedback -directed random testing for Java,

Reference 11

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raw_fallback, observed 2026-08-06T11:34:35.711013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:31.341072Z digest=sha256:fdfbb631365d72d43da32ec17c323c6f1802266c62dfbd07e33cc5202b8c7d77

Observation 6af16a3e-8f29-4ebc-85ef-b302ce77c130 · outbound

This paper cites Identifying patch correctness in test-based program repair,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Identifying patch correctness in test-based program repair,

Reference 12

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no resolver link, observed 2026-08-06T11:34:31.462737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:31.462737Z digest=sha256:53abf847a00ba7b7c981bba2d0a4f115af3abfe2ca916179fcb29e3c66a2f7a1

Observation 18ebd0a2-92df-4381-ad38-b2b5875751e3 · outbound

This paper cites Context -Aware Code Change Embedding for Better Patch Correctness Assessment,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Context -Aware Code Change Embedding for Better Patch Correctness Assessment,

Reference 13

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verified exact
doi, observed 2026-08-06T11:34:34.516976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:31.551311Z digest=sha256:cb7325c77e0dcd59e630d6d544b9c238065dd2df2441f190d21b247eb84cc9d7

Observation a433020e-3859-4f91-ae65-5c6d1a4863d5 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 14

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no resolver link, observed 2026-08-06T11:34:32.058066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:32.058066Z digest=sha256:44e43fb84134e9a63570b7589a98fb8c55ba9c8b6937894058156d6fd71a9921

Observation 77c31d8e-bedd-4f03-8e1e-7aebf1e08d6f · outbound

This paper cites APPT: Boosting Automated Patch Correctness Prediction via Fine- Tuning Pre-Trained Models,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment APPT: Boosting Automated Patch Correctness Prediction via Fine- Tuning Pre-Trained Models,

Reference 15

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no resolver link, observed 2026-08-06T11:34:31.729550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:31.729550Z digest=sha256:246404fdecb634e8ecc82e6c477ec8a3d2753f0ba53799d2d4d4163a8c26a9b7

Observation 4381d4e7-f7af-4b72-80e7-cee273ead433 · outbound

This paper cites Automated Classification of Overfitting Patches with Statically Extracted Code Features,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Automated Classification of Overfitting Patches with Statically Extracted Code Features,

Reference 16

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no resolver link, observed 2026-08-06T11:34:31.842678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:31.842678Z digest=sha256:93f9ff03f4193081fb82fb3c2dabb6605ac7c847520a56cecfae6f71ae4b17e5

Observation d94a6100-866f-4f34-96ea-d5d39ee62514 · outbound

This paper cites Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness,

Reference 17

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no resolver link, observed 2026-08-06T11:34:31.944964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:31.944964Z digest=sha256:5bba1d27d80e523216b733a5ffdec6f5ed97d2dadc5b3dc992aa91114d85ae1f

Observation dee298df-6cd8-400c-a935-5604f2eb7f71 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:32.433493Z digest=sha256:97fbc301814560e4d3409c72f0fa39066703e6c49a52bd5e86cfd00352f3517a

Observation 846da3ce-033b-4a64-ad2e-76afbd327e39 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 19

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no resolver link, observed 2026-08-06T11:34:32.153891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:32.153891Z digest=sha256:e68472ae25494eeba8a78ecb3205213aa8a3d0adc3fa57b38757079dce3ebb70

Observation ea1c514b-1c8d-4769-8de8-e8feddf325de · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:32.336052Z digest=sha256:9939d680823cb27e8ad90e1927e3dda8e049e9e07d47f61453126d3281a63c53

Observation 61c5518e-4d17-4def-acfc-db35563f3e78 · outbound

This paper cites Leveraging Large Language Model for Automatic Patch Correctness Assessment,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Leveraging Large Language Model for Automatic Patch Correctness Assessment,

Reference 22

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raw_fallback, observed 2026-08-06T11:34:35.052459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:32.888357Z digest=sha256:dd6bfa30788798f3d3df8a531553b933cb65ccb4dbe5adf89b7f0eabbaef040c

Observation 2587b580-0993-4a95-b539-6a6d1561ff3a · outbound

This paper cites Proximal Policy Optimization Algorithms.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Proximal Policy Optimization Algorithms

Reference 23

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no resolver link, observed 2026-08-06T11:34:32.566442Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:32.566442Z digest=sha256:64a2ad303b143111aa1f9ce9bea753ccf2f93b4130b3aade7526ac29989b4f96

Observation a21122c0-39d2-4634-9367-1e21e585558d · outbound

This paper cites Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks

Reference 24

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local_arxiv, observed 2026-08-06T11:34:34.291422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:32.668620Z digest=sha256:b2a230adc9007834f2552a60d2da06e23aadb771355acafa48484357c6b1cb00

Observation d24aa7ab-652d-45e4-ac2c-75426287ac65 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:32.788331Z digest=sha256:6008d2eda532d35d8e60b95318980d15e2043774f387747d2122e0297d0f6408

Observation f4e800d2-0cea-4032-ad91-74316c05ead7 · outbound

This paper cites How Often Do Single -Statement Bugs Occur? The ManySStuBs4J Dataset,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment How Often Do Single -Statement Bugs Occur? The ManySStuBs4J Dataset,

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:33.205816Z digest=sha256:a9d1929135fdc2313a3ba7f2133d22b7628bb5db4d6293cbf920a166e242730c

Observation a6115eaf-378d-410a-bff1-4aead3180458 · outbound

This paper cites Qwen2.5 Technical Report.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Qwen2.5 Technical Report

Reference 27

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no resolver link, observed 2026-08-06T11:34:32.957532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:32.957532Z digest=sha256:5c34cedb1f1af515ee2af81a1603b8b582c3de3f0f1a588b5fdd77222b84bee1

Observation 691a64c3-82c7-4a6b-bf82-424aaa847cba · outbound

This paper cites Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair

Reference 28

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verified exact
local_arxiv, observed 2026-08-06T11:34:34.026065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:33.039687Z digest=sha256:f16cb8ec8e93fcab0fb501ceef0d9ed2838e7dac13d1d05be050163149e3eb66

Observation fe64f55b-7d9e-4e9a-bb14-a8e894bf16e0 · outbound

This paper cites Defects4J: a database of existing faults to enable controlled testing studies for Java programs,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Defects4J: a database of existing faults to enable controlled testing studies for Java programs,

Reference 29

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no resolver link, observed 2026-08-06T11:34:33.111654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:33.111654Z digest=sha256:0b41271c7dde28ce6b25b3457e0372582b7700e331132ef349dcf2c17c71bbc0

Observation faaaaa88-432a-4be0-acbb-39b1421125e3 · outbound

This paper cites Empirical Review of Java Program Repair Tools: A Large-Scale Experiment on 2,141 Bugs and 23,551 Repair Attempts.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Empirical Review of Java Program Repair Tools: A Large-Scale Experiment on 2,141 Bugs and 23,551 Repair Attempts

Reference 31

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verified exact
local_arxiv, observed 2026-08-06T11:34:33.854813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:33.300914Z digest=sha256:e28087a795fbe3449e313bc288923e16a8ce69d24c2a5bf4f2ba008d32423064

Observation a39975b3-a709-4502-97cc-867693f4d1c5 · outbound

This paper cites Group Relative Policy Optimization for Image Captioning.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Group Relative Policy Optimization for Image Captioning

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T11:34:36.302428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:33.386497Z digest=sha256:c9b54ab656b5ed9ca01e5ec8522e015d8a1041ff17f36c9daa8207fc43f5f0bd

Observation f5cf60c1-9161-4e2b-a8ea-e1df91c597a5 · outbound

This paper cites Automated patch assessment for program repair at scale,.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Automated patch assessment for program repair at scale,

Reference 34

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doi, observed 2026-08-06T11:34:33.665158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:33.532158Z digest=sha256:965719bba920f823ffd1cffdafc5a6eec3b8960f03f4f31aa279913cff386a20

Observation a746c402-83b1-4f94-ba2a-29e2694ab2ac · outbound

This paper cites 2015, pp.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment 2015, pp

Reference 2015

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metadata mismatch
raw_fallback, observed 2026-08-06T11:34:36.169929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:34:30.848120Z digest=sha256:426ca20edc92e896421e81441a21f4ba514f42f981a3c1f016d58baeaef06dc7

Observation 2096c30c-b3a8-4d54-b7c5-4852d71eebc3 · outbound

This paper cites Group Relative Policy Optimization for Image Captioning.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Group Relative Policy Optimization for Image Captioning

Reference 2025

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:33.476538Z digest=sha256:02230f87f2aa6f9ea2c2951df2ddfb6e733303d490306688f6def30945077318

Pith citing papers

Observation 9603247a-b564-4e6a-b863-0a75b95859fe · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment

Reference 150

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arxiv_id, observed 2026-08-03T01:25:40.786407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:7fe4ac4f00720afeb487aa80b9add33213b1b7d403e416ab3ba651b5bbefc68b