Paper Citation Record · LEDGER

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2607.01360.

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

pith.paper-citation-record.v1
2607.01360 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-03T19:23:50.577675Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T10:52:17.791456Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-31T12:16:09.833992Z

Reference resolution

31 of 31 outbound references displayed

verified exact7
verified fuzzy18
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b104bec-47e9-47f2-b16c-fad90c66df98 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Evaluating Large Language Models Trained on Code

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-03T19:28:51.853327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 238fd308-0870-4db3-a60e-caeee6dcbfe5 · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Livecodebench: Holistic and contamination free evaluation of large language models for code,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.474479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7181e20a-21d8-4fbc-bf2e-9af7d2a2b46a · outbound

This paper cites Available: https://openreview.net/forum?id=chfJJYC3iL.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Available: https://openreview.net/forum?id=chfJJYC3iL

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.472657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a61d9d4-3092-4501-97f7-6005e33af4d2 · outbound

This paper cites SWE-bench: Can language models resolve real-world github issues?.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback SWE-bench: Can language models resolve real-world github issues?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.476465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 211008f7-c255-4e3f-938b-edde3869310e · outbound

This paper cites In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024).

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024)

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:28:51.391555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63672f72-25d8-4cc5-a4fb-1b04d029f994 · outbound

This paper cites Agentless: Demystifying llm-based software engineering agents,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Agentless: Demystifying llm-based software engineering agents,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.485329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 944e2715-b456-45b5-90ab-049c8b511a2c · outbound

This paper cites K., Barr, E.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback K., Barr, E

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:28:51.396131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0525c222-92df-4326-a555-5af6b5b84fee · outbound

This paper cites Are "Solved Issues" in SWE-bench Really Solved Correctly? An Empirical Study.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Are "Solved Issues" in SWE-bench Really Solved Correctly? An Empirical Study

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:51.859271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f9d4c3f7-8477-4a86-ab49-eb5f2c3cf23c · outbound

This paper cites Are "Solved Issues" in SWE-bench Really Solved Correctly? An Empirical Study.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Are "Solved Issues" in SWE-bench Really Solved Correctly? An Empirical Study

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:28:51.387866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91093192-025f-4f59-84e6-92ef1f35b9b0 · outbound

This paper cites Introducing SWE-bench verified,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Introducing SWE-bench verified,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.460584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 673c6e0f-2a8e-4be6-b917-52fb9ed00a85 · outbound

This paper cites Graph-based, self-supervised program repair from diagnostic feedback,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Graph-based, self-supervised program repair from diagnostic feedback,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.467339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5f356c19-650a-4d27-a5bf-362d4f1fb968 · outbound

This paper cites Feedbackeval: A benchmark for evaluating large language models in feedback-driven code repair tasks.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Feedbackeval: A benchmark for evaluating large language models in feedback-driven code repair tasks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:51.856434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 433e75ac-23f1-4466-bd7c-27d7b5882ffd · outbound

This paper cites Self-edit: Fault-aware code editor for code generation,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Self-edit: Fault-aware code editor for code generation,

Reference 13

Resolution: verified exact; doi, observed 2026-07-03T19:28:51.389944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f9ce8dc-90c4-49bd-b33e-477909ad5e02 · outbound

This paper cites Teaching large language models to self-debug,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Teaching large language models to self-debug,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.469176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f80555c1-b40b-4d1a-aad1-05dade6dd969 · outbound

This paper cites Large Language Model Guided Self-Debugging Code Generation.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Large Language Model Guided Self-Debugging Code Generation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:51.382722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb871329-fe48-4fe4-b4e5-425382ddab16 · outbound

This paper cites ConvCodeWorld: Benchmarking conversational code generation in reproducible feedback environments,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback ConvCodeWorld: Benchmarking conversational code generation in reproducible feedback environments,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.465607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86e9ecba-ede8-4cbf-b4f4-7a8224d1ddb4 · outbound

This paper cites When benchmarks talk: Re-evaluating code LLMs with interactive feedback,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback When benchmarks talk: Re-evaluating code LLMs with interactive feedback,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.490698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 20ec7849-b1de-4a85-98c2-8431755ea605 · outbound

This paper cites Available: https://pairbench.site.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Available: https://pairbench.site

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.478192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77bb7840-4d74-452a-a413-580400cd71c8 · outbound

This paper cites Program Synthesis with Large Language Models.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Program Synthesis with Large Language Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-03T19:28:51.849550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d6f5e396-2f71-41c9-ae06-8e4e6cb56def · outbound

This paper cites InterCode: Stan- dardizing and benchmarking interactive coding with execution feed- back,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback InterCode: Stan- dardizing and benchmarking interactive coding with execution feed- back,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.479965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a305db9c-3781-4498-83f0-c12467b17b6c · outbound

This paper cites Measuring coding challenge competence with APPS,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Measuring coding challenge competence with APPS,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.492617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5ab4027-6899-41ec-8c59-51ec2b5bdba4 · outbound

This paper cites Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.483590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26ca6827-d294-488c-b529-6aad35550b00 · outbound

This paper cites Evaluating language models for efficient code generation,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Evaluating language models for efficient code generation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.470869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1e886f20-d2a3-4955-b8b6-c837745430af · outbound

This paper cites Ernst, Reid Holmes, and Gordon Fraser.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Ernst, Reid Holmes, and Gordon Fraser

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:28:51.399385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e737cee-a16b-4f6d-aba8-7595810b137f · outbound

This paper cites Yiheng Xiong, Ting Su, Jue Wang, Jingling Sun, Geguang Pu, and Zhendong Su.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Yiheng Xiong, Ting Su, Jue Wang, Jingling Sun, Geguang Pu, and Zhendong Su

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:28:51.397826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 516ffc33-0f2f-4f51-bfdf-fefeb65ed89e · outbound

This paper cites Quixbugs: A multi-lingual program repair benchmark set based on the quixey challenge.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Quixbugs: A multi-lingual program repair benchmark set based on the quixey challenge

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:51.392860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41db9097-3227-4ddb-8186-1431dc74e1fa · outbound

This paper cites The power of feedback,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback The power of feedback,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.462274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db73f802-0a32-4d85-8e48-d02ee76f06d7 · outbound

This paper cites Focus on formative feedback,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Focus on formative feedback,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.488965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce7d2be9-fec2-4b9a-aa1d-144e0292bc4d · outbound

This paper cites The role of tutoring in problem solving.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback The role of tutoring in problem solving

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.463916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d17eba8-5ab9-41e5-86ab-e89874eab233 · outbound

This paper cites an unresolved cited work.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-07-05T03:00:39.481731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2159dfc9-8ec1-479c-add0-a48e31fa5206 · outbound

This paper cites Codeforces-python-submissions,.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Codeforces-python-submissions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T03:00:39.487111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation eac9c070-c0f6-4b28-a262-7a09080005d4 · inbound

Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair cites this paper.

Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-31T10:56:25.047648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.