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Paper Citation Record · LEDGER

Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.14086.

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

pith.paper-citation-record.v1
2502.14086 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:39.228946Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:10:39.625543Z

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 0d479c82-2a9a-47b8-8959-2395c252a345 · inbound

Relational Schemata in BERT Are Inducible, Not Emergent: A Study of Performance vs. Competence in Language Models cites this paper.

Relational Schemata in BERT Are Inducible, Not Emergent: A Study of Performance vs. Competence in Language Models Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:39.228946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:39.228946Z digest=sha256:81097e17d351b417d43371e940d4016d54a8258d094c3e40d4b5378c44221c86

Observation b00a415f-b164-44a8-a629-de0c3e98e7a2 · inbound

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning cites this paper.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:10:39.707226Z

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=2026-08-05T21:10:30.799617Z digest=sha256:039e0ad34edaa3ac2236e8d9cafcc3ffeac8995607920ad71ecc292a82f33323