Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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

Resolution: verified fuzzy; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: verified fuzzy; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: verified exact; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: verified fuzzy; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:31.231673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: metadata mismatch; 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 2026-08-15T06:32:42.880941+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:32.433493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:32.336052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: metadata mismatch; 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 2026-08-15T06:32:42.880941+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:32.788331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:33.205816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: verified exact; 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: 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 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:33.476538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-15T06:32:42.880941+00:00.