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Paper Citation Record · LEDGER

Investigating the Robustness of Deductive Reasoning with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.04352.

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

pith.paper-citation-record.v1
2502.04352 v2

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:18.985960Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:51:23.579946Z

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 67053539-6cde-43cb-b8b8-03ffc49d67ba · inbound

A Mathematical Theory of Discursive Networks cites this paper.

A Mathematical Theory of Discursive Networks Investigating the Robustness of Deductive Reasoning with Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:18.985960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:08:18.985960Z digest=sha256:e72405803c82bc4fcbad1438193a180c9530d415b851ad1939c8900f1bcddfa9

Observation c36acceb-5f88-4713-851f-c7e2685daf00 · inbound

Transformers Can Learn Connectivity in Some Graphs but Not Others cites this paper.

Transformers Can Learn Connectivity in Some Graphs but Not Others Investigating the Robustness of Deductive Reasoning with Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:51:23.582266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T12:47:47.917648Z digest=sha256:bd799d059eb2909cb9fc011005ce075b44195fad4f342d7e8a9a74d8b3eb4dc8

Observation 265514e3-f9db-41e4-a301-5d5cb48f1e96 · inbound

ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning cites this paper.

ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning Investigating the Robustness of Deductive Reasoning with Large Language Models

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-03T17:53:53.874661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:53:53.874661Z digest=sha256:2659b8083447becc4682c2503a0b9b16524437c8957c775479e7df615e6f1e39