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Paper Citation Record · LEDGER

Exploiting Code Symmetries for Learning Program Semantics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.03312.

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

pith.paper-citation-record.v1
2308.03312 v9

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:24:29.974167Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation df0cb9a1-b1c5-4ef1-81a0-766319b38ef2 · inbound

NESA: Relational Neuro-Symbolic Static Program Analysis cites this paper.

NESA: Relational Neuro-Symbolic Static Program Analysis Exploiting Code Symmetries for Learning Program Semantics

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:05:28.770144Z

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=2026-05-23T07:04:09.614807Z digest=sha256:a1ca95a340c46a323871a0739d3c551ba3949edc4ad217f7f51bc41d94c162e0

Observation 51744cf0-f103-4ceb-99a1-171072c59279 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Exploiting Code Symmetries for Learning Program Semantics

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:29.974167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:29.974167Z digest=sha256:c05780e2b4e6b8c74b4db77d55b6a36aef31007a5876a6deb662e61f539d38dc

Observation 911dc58b-c8c9-4547-88ef-2a198a3f1518 · inbound

Metamorphic Testing of Deep Code Models: A Systematic Literature Review cites this paper.

Metamorphic Testing of Deep Code Models: A Systematic Literature Review Exploiting Code Symmetries for Learning Program Semantics

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T11:32:55.533706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:32:55.533706Z digest=sha256:3915b083068da63bdd5d079db269c5418f8e21dc1637bc60c638f9a2025150b1