Paper Citation Record · LEDGER

Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2312.12450.

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

pith.paper-citation-record.v1
2312.12450 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:39:21.973233Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T09:56:51.751060Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c29e3d4e-a4a8-40ac-9420-6fbf4211f040 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 176

Resolution: verified exact; arxiv_id, observed 2026-05-12T17:28:22.865186Z

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.

Observation a971b56a-a9e3-4771-99c2-24195644f818 · inbound

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks cites this paper.

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T16:26:32.073866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b27e1310-61a7-4bcb-ba16-c1ad3e73ac3e · inbound

mrCAD: Multimodal Refinement of Computer-aided Designs cites this paper.

mrCAD: Multimodal Refinement of Computer-aided Designs Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:39:21.973233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a1d962b-9c27-44c4-beec-37f3bed7eddc · inbound

RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving cites this paper.

RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:18.139555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0c38e0-0835-4393-97bc-04f70e1426a7 · inbound

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing cites this paper.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:37.683819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e13da4d-fc95-4651-98e7-94a8e6ecf847 · inbound

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference cites this paper.

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:17:50.340621Z

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.

Observation 8733ede3-9fd2-45e0-ac25-370526ea369b · inbound

WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation cites this paper.

WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T17:16:04.882733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c429b83-854f-471f-a7c0-87a361184ce3 · inbound

Edit, But Verify: An Empirical Audit of Instructed Code-Editing Benchmarks cites this paper.

Edit, But Verify: An Empirical Audit of Instructed Code-Editing Benchmarks Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:15:48.216119Z

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.

Observation 7ede64b5-0c73-4b10-8755-8bfccffb5489 · inbound

LLMs Corrupt Your Documents When You Delegate cites this paper.

LLMs Corrupt Your Documents When You Delegate Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:48:47.707680Z

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.

Observation 9ffc506c-af36-47e3-aa9f-a83a79062586 · inbound

Assessing the Impact of Requirement Ambiguity on LLM-based Function-Level Code Generation cites this paper.

Assessing the Impact of Requirement Ambiguity on LLM-based Function-Level Code Generation Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:41:23.269977Z

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.

Observation 5c331317-07ee-4bf0-862a-03fe2715d78f · inbound

SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing? cites this paper.

SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing? Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:56:12.397991Z

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.

Observation 457d523d-d474-4f3e-9e83-60027a764bcf · inbound

SWE-InfraBench: Evaluating Language Models on Cloud Infrastructure Code cites this paper.

SWE-InfraBench: Evaluating Language Models on Cloud Infrastructure Code Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T09:56:51.752830Z

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.

Observation e89df9ea-7f3d-41e5-b7a6-5c61d0364570 · inbound

Obey, Diverge, Collapse: Blind Obedience to Incorrect Instructions Drives Code LLMs to Irrecoverable Code Semantic Collapse cites this paper.

Obey, Diverge, Collapse: Blind Obedience to Incorrect Instructions Drives Code LLMs to Irrecoverable Code Semantic Collapse Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-11T17:45:46.872944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.