Paper Citation Record · LEDGER

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.12934.

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

pith.paper-citation-record.v1
2501.12934 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:07:08.290078Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:37:03.895181Z

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 23feee5e-bb25-4201-8e34-2f4002ab56ca · inbound

Position Paper: Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps cites this paper.

Position Paper: Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps Correctness Assessment of Code Generated by Large Language Models Using Internal Representations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:07:08.290078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7f33f99-cefe-4912-9cd5-c6128a529fb6 · inbound

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs cites this paper.

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs Correctness Assessment of Code Generated by Large Language Models Using Internal Representations

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:49:48.607579Z

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 f3c1dbf8-2238-4858-9844-a516fe92e668 · inbound

Towards the Readability of LLM-Generated Codes through Multitask Representation Engineering cites this paper.

Towards the Readability of LLM-Generated Codes through Multitask Representation Engineering Correctness Assessment of Code Generated by Large Language Models Using Internal Representations

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:37:03.897674Z

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 5fee1461-3d2b-4d33-bc4e-47caee5c3013 · inbound

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation cites this paper.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Correctness Assessment of Code Generated by Large Language Models Using Internal Representations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T07:36:46.859913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e31360-8b80-4519-ba68-4fc3cb125a7d · inbound

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation cites this paper.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Correctness Assessment of Code Generated by Large Language Models Using Internal Representations

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T11:28:59.629957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c45bf8-93b4-4167-80da-6042db1a279f · inbound

When the Reward Suite Is Leaky: A Preregistered Causal Contrast of Natural Verifier False Positives in RLVR cites this paper.

When the Reward Suite Is Leaky: A Preregistered Causal Contrast of Natural Verifier False Positives in RLVR Correctness Assessment of Code Generated by Large Language Models Using Internal Representations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T07:36:47.336670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.