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Paper Citation Record · LEDGER

Shortcut Learning of Large Language Models in Natural Language Understanding

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:34.832071Z

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 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:bbad2740325e0f69f061460b88fdfe0685db0412437f7cde647415b1f221d906

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=sha256:011fabaae8ef9f05378cdd987c4a3c5c9941aaf626c9304eb3a0e3beabacc839

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

Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding cites this paper.

Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding 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=sha256:529f330092de158adb360ef7b4471a92fb7657f1381c9eb6b89daaa1b0f8bbc0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T08:35:36.928378Z digest=sha256:6e8691e12fce66f55dc6e6daeec3d332e8f26889dbd4e12ee687b1c1fd99258b