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Paper Citation Record · LEDGER

SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.12866.

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

pith.paper-citation-record.v1
2409.12866 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:14:03.549402Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:09:38.512920Z

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 a3f46b6b-1fab-4f56-ace9-28c2e94ce56f · inbound

Intention is All You Need: Refining Your Code from Your Intention cites this paper.

Intention is All You Need: Refining Your Code from Your Intention SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T10:14:03.549402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:14:03.549402Z digest=sha256:814677d3d3b9579669900da99e7f410f4258b6750800afb108dc77bda640bd0c

Observation 524eb251-d533-437c-bcfe-586508f8fd5d · inbound

SpecSyn: LLM-based Synthesis and Refinement of Formal Specifications for Real-world Program Verification cites this paper.

SpecSyn: LLM-based Synthesis and Refinement of Formal Specifications for Real-world Program Verification SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:46:41.335934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T21:05:59.438175Z digest=sha256:b692b2ea3850a1a923abcfb0da5ec03e855131f7cc874c46964844345c28aa3c

Observation d97b80b7-3328-4b2d-a570-dea93812a13f · inbound

Evaluating the Architectural Reasoning Capabilities of LLM Provers via the Obfuscated Natural Number Game cites this paper.

Evaluating the Architectural Reasoning Capabilities of LLM Provers via the Obfuscated Natural Number Game SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:07.338360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T19:37:00.295270Z digest=sha256:1b43f53aebd4307222b7f0c48e64e672a674ffb84fab23612a827c5d3f09312b

Observation 3bc89a31-6f60-4117-9a1e-63f44d3e121d · inbound

KBSpec: LLM-driven Formal Specification Generation with Evolving Domain Knowledge Base cites this paper.

KBSpec: LLM-driven Formal Specification Generation with Evolving Domain Knowledge Base SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:09:38.514414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T13:37:54.666070Z digest=sha256:53704d7074f76b9c550e0f44f5e0b7dc0d1ee9555e38fa0f6adcc3d230673587

Observation db047da0-443a-4c04-b877-3eccfa19ecee · 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 SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T00:57:37.624837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:57:37.624837Z digest=sha256:d7e1cbf6290acee79af7cfb3c92c26229b2d71d1e26f312835c365c3263c55ac