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Paper Citation Record · LEDGER

Shortcut Learning of Large Language Models in Natural Language Understanding

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2208.11857.

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

pith.paper-citation-record.v1
2208.11857 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:05.110035Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:43:15.870477Z

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 468beaee-a7fd-46b9-9450-1a39cb8a7a8a · inbound

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing cites this paper.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Shortcut Learning of Large Language Models in Natural Language Understanding

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:05.110035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:05.110035Z digest=sha256:75288375d1cc99d94065bada7d53d5753082a592ab1232a409d8e9c872f43be9

Observation e7c01103-aa98-47ad-82aa-d8e45e60b612 · inbound

Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events cites this paper.

Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events Shortcut Learning of Large Language Models in Natural Language Understanding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:34.832071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:52:34.832071Z digest=sha256:57b05c393c82043b3527b5b84e1082263e7a9f72882d601e795e389e35bcd242

Observation a4b2e294-9deb-4c77-9432-377ea11f7bee · inbound

Mitigating Shortcut Learning with InterpoLated Learning cites this paper.

Mitigating Shortcut Learning with InterpoLated Learning Shortcut Learning of Large Language Models in Natural Language Understanding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:28:52.957387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:28:52.957387Z digest=sha256:c22f5d423064c1d1a5221bdc4e4409a3b9dd29f2f1644dc46ded7f3415f200ce

Observation 27ba3b96-6e09-449d-971c-b16772a25210 · inbound

Token-Based Detection of Spurious Correlations in Vision Transformers cites this paper.

Token-Based Detection of Spurious Correlations in Vision Transformers Shortcut Learning of Large Language Models in Natural Language Understanding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T10:31:37.224144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:31:37.224144Z digest=sha256:773507f2516d8f6901beeed841844e94d6bf27c5f20d5d533a2189edacc0e9c4

Observation 5f91b0bf-8502-46ff-b5f6-18a548d699d6 · inbound

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors cites this paper.

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors Shortcut Learning of Large Language Models in Natural Language Understanding

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:43:15.871843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-29T08:35:36.928378Z digest=sha256:9a639f5dfdfc58496e1bcb774d66a5c6e5a403b9538069af856545445f2ac992