Paper Citation Record · LEDGER

ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.10996.

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

pith.paper-citation-record.v1
2310.10996 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:19:58.344485Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:17:00.751186Z

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 4f6943a8-ebac-41b9-8204-0c5e37975662 · inbound

LLMCup: Ranking-Enhanced Comment Updating with LLMs cites this paper.

LLMCup: Ranking-Enhanced Comment Updating with LLMs ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:19:58.344485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9a286c7-d5f7-46d5-8a7f-4c8c3e3de90f · inbound

Generating Project-Specific Test Cases with Requirement Validation Intention cites this paper.

Generating Project-Specific Test Cases with Requirement Validation Intention ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:17:00.754091Z

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 1f54dd5a-268a-4b3b-801e-cdab711ba8e6 · inbound

Exploring the Challenges and Opportunities of AI-assisted Codebase Generation cites this paper.

Exploring the Challenges and Opportunities of AI-assisted Codebase Generation ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T21:48:02.743408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 543c4a55-ec88-4fe5-b7a2-d92dc53fd069 · inbound

Generative Interfaces for Language Models cites this paper.

Generative Interfaces for Language Models ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:01:51.476776Z

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 f45bd011-ca57-47fa-ad98-e770bf4b4037 · inbound

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities cites this paper.

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T10:30:40.825075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143d730b-50f8-46b0-a0e2-22f9c9bef3f9 · inbound

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation cites this paper.

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:17:37.620506Z

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 f971e8f2-7d7e-499e-a2a5-efec4d7f07f2 · 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 ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

Reference 39

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.