Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.13343.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:06:23.099446Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T16:25:50.096535Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation d504e783-91b9-466c-a374-4615eae29432 · inbound
Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
Reference 212
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41938c65-3042-4641-aa69-bd352b9a093f · inbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation efbe8f45-eff9-429e-aa30-2e4097fe2e87 · inbound
Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4396d72d-c56a-46f4-8dce-18bb2d67105d · inbound
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
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 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
Reference 71
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 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 199974fd-9cc0-4193-9c17-6630f20faaf8 · inbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
Reference 134
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.