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Paper Citation Record · LEDGER

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.17256.

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

pith.paper-citation-record.v1
2305.17256 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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:20:47.908765Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:46:47.839108Z

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 270d12a4-f5bf-4bad-9d1a-44d7d41ea3db · inbound

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations cites this paper.

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T17:20:47.908765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:20:47.908765Z digest=sha256:129b58870e1168dc3117fe8c558b4c2ea6d55b615402c0b3c8476fa0e31b7116

Observation 37c8b56d-75bc-49e0-bd2d-ad2757f7d357 · inbound

Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models cites this paper.

Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:14:11.232115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:14:11.232115Z digest=sha256:f88c1405b399a09822f7d15175dc74095f4d47e60ae656114b28c04be38741fa

Observation 9d54675c-7808-48f6-8490-14f21a60502a · inbound

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training cites this paper.

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:55:41.407619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:55:41.407619Z digest=sha256:898e11f7a11882a68d86b14d0bf5dd2bedc260ef02fa4cd1a665279f5084d60f

Observation 4af4501a-5ffb-4369-bb9d-b9a29fce7a0a · 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 Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-05T22:50:43.786128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:50:43.786128Z digest=sha256:8a4936600dc9c5947d99dfc8c4a73480bf63f045f3adde3dcad952799a3a6be1

Observation 94801bd4-9573-43ba-aeda-6c1239b43951 · 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 Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:46:47.843954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:46:44.712593Z digest=sha256:540d4772d187049b1e60e4d24587e5d4dcd52a2beffc165784d269b6284a38c2