Paper Citation Record · LEDGER

Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.17272.

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

pith.paper-citation-record.v1
2309.17272 v3

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 2026-08-07T13:40:17.057331Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:19.035398Z

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 6861a483-2a64-4ca9-8b22-1281f01a01ca · inbound

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset cites this paper.

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:40:17.057331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1d29f0e-ab03-40c0-b6b3-1a21a1efbd18 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

Reference 290

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:07.317950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f2695f9-c611-406a-9a57-0ee2880d27d3 · inbound

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models cites this paper.

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:00:57.269361Z

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 4f5d8842-4ad4-4c7b-85cf-7f4441bd339f · inbound

In Line with Context: Repository-Level Code Generation via Context Inlining cites this paper.

In Line with Context: Repository-Level Code Generation via Context Inlining Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:08:12.838343Z

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 9d5a022c-da39-4951-80be-8b62d8ea868a · inbound

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning cites this paper.

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:41:01.887041Z

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 11e43c05-2c12-4c2d-b5ec-5463bc01f560 · inbound

XSearch: Explainable Code Search via Concept-to-Code Alignment cites this paper.

XSearch: Explainable Code Search via Concept-to-Code Alignment Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T16:33:34.157606Z

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 e3ad7174-397c-4a40-8da4-6d134e6ce91f · inbound

XSearch: Explainable Code Search via Concept-to-Code Alignment cites this paper.

XSearch: Explainable Code Search via Concept-to-Code Alignment Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:19.037933Z

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.