Paper Citation Record · LEDGER

AceCoder: Utilizing Existing Code to Enhance Code Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2303.17780.

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

pith.paper-citation-record.v1
2303.17780 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:37:30.660119Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:23:46.148525Z

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 3b9fbc9e-d50b-4179-88c1-45dc299fe10e · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 152

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:32:17.406683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e43c588f-52be-4ee6-93e1-e84185ca45bb · inbound

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation cites this paper.

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:23:46.151950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75cede3e-f5e5-4245-b8f6-23bbd2874dc5 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:18:06.769232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bac31ff0-8366-4d55-96e4-c8ee6091dd34 · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:35:48.531360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d9b423e1-6c0d-4819-8113-43949de194ff · inbound

Knowledge-Enhanced Program Repair for Data Science Code cites this paper.

Knowledge-Enhanced Program Repair for Data Science Code AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T20:37:30.660119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e48aee-ec9f-4561-ba4e-aa08194d2d8f · inbound

LOCOFY Large Design Models -- Design to code conversion solution cites this paper.

LOCOFY Large Design Models -- Design to code conversion solution AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:34.166467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0378ef8-148e-4e68-9277-ad54c151de77 · inbound

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion cites this paper.

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T04:48:35.991772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de631838-cc85-4b89-9e0c-30386df19b5e · inbound

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study cites this paper.

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:38:58.014539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4375a95-5543-44ac-a2c4-8d43564f06aa · inbound

Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion cites this paper.

Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:26.234180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa58d154-05ed-4657-9c42-a53666e9f50f · inbound

RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models cites this paper.

RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T00:57:36.767904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.