Paper Citation Record · LEDGER

Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.13343.

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

pith.paper-citation-record.v1
2410.13343 v1

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:50:43.783324Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:25:50.096535Z

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 41938c65-3042-4641-aa69-bd352b9a093f · inbound

If Concept Bottlenecks are the Question, are Foundation Models the Answer? cites this paper.

If Concept Bottlenecks are the Question, are Foundation Models the Answer? Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:51:55.044662Z

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.

Observation 4396d72d-c56a-46f4-8dce-18bb2d67105d · inbound

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation cites this paper.

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T22:50:43.783324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2660fb-d616-4381-8449-cb294b6ec5d7 · inbound

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation cites this paper.

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T22:46:44.532064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07dabac8-fc08-4959-b639-a16793d99bcc · inbound

Deciphering Shortcut Learning from an Evolutionary Game Theory Perspective cites this paper.

Deciphering Shortcut Learning from an Evolutionary Game Theory Perspective Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:50:26.712568Z

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.

Observation 199974fd-9cc0-4193-9c17-6630f20faaf8 · inbound

NeuroFlake: A Neuro-Symbolic LLM Framework for Flaky Test Classification cites this paper.

NeuroFlake: A Neuro-Symbolic LLM Framework for Flaky Test Classification Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:12:07.183973Z

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.

Observation a95b62c1-6350-4e11-8548-729034136a62 · inbound

What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs cites this paper.

What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models

Reference 134

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T16:25:50.097957Z

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.