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Paper Citation Record · LEDGER

Are Emergent Abilities in Large Language Models just In-Context Learning?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2309.01809.

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

pith.paper-citation-record.v1
2309.01809 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:17:33.646835Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:36:22.709639Z

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 dff889d8-8650-4246-8692-92fa6f749def · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 187

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T17:34:42.788270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:ad3b90749350a2847f78b88e211fa33928e2ab9b4a3e9e9972c08ea21a53950f

Observation 38d6e5f6-cda5-4569-90f7-5b4ef3f5d6d4 · inbound

Holmes: A Benchmark to Assess the Linguistic Competence of Language Models cites this paper.

Holmes: A Benchmark to Assess the Linguistic Competence of Language Models Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:08:45.153483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T02:06:53.585629Z digest=sha256:c9878c7edae4294ddac118a6b9b2c5cd995ccf22a0b3d9c04241bd7c47703f89

Observation 5a732318-813a-4544-8ff5-a52a526637e2 · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:33.646835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:33.646835Z digest=sha256:a30fd659583100092d0b3c8e5a0215383ef04d6269ee678deef50b5ae6de9ac1

Observation 6c0a6082-e613-4ac6-be82-b5eedbb80ef7 · inbound

Kernels of Selfhood: GPT-4o shows humanlike patterns of cognitive consistency moderated by free choice cites this paper.

Kernels of Selfhood: GPT-4o shows humanlike patterns of cognitive consistency moderated by free choice Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T14:04:09.189448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:04:09.189448Z digest=sha256:e4e1780fab3be6e0f6434332f9b816d2237d485e430a4ab9b082b2936316471b

Observation 2e1679c7-fd4d-487e-9ea8-b2e1e801596d · inbound

Decomposing Prediction Mechanisms for In-Context Recall cites this paper.

Decomposing Prediction Mechanisms for In-Context Recall Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.362140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.362140Z digest=sha256:dc8a4efa41c8b9ec566fd96fd37a6c8499a12a8de1be3d8b9693ba362a9b41c9

Observation f95758a0-0e62-46ba-b3df-1982fbfe6de0 · inbound

From Sound to Sight: Towards AI-authored Music Videos cites this paper.

From Sound to Sight: Towards AI-authored Music Videos Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T18:23:30.219156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:23:30.219156Z digest=sha256:bcadf04d7c0f902f19ab1454d51d4009d8a5e728bd20bc904b6cc3b132da6805

Observation 39420f4a-9755-4264-9d37-04e201f48ee9 · inbound

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation cites this paper.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T06:38:23.585090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:38:23.585090Z digest=sha256:4e126f95b7f8e899640591520463f30c94b9545ec4929c7ebdef2d5a56981c57

Observation 1006c32b-0d69-4043-9ec8-bd477c336173 · inbound

Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt cites this paper.

Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:36:22.712393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T14:13:13.648560Z digest=sha256:ec42a76464a6e5e85f8fd73eba1f057d89b9775bafd9177c18c6c3e84f26a9bc

Observation 87da07c4-f83d-46a0-9b0c-f9f9c7b36a86 · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 257

Resolution
unresolved
no resolver link, observed 2026-07-31T23:52:14.115882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:52:14.115882Z digest=sha256:7896ab203ebe76314955b5cdf0c9adb65a827a8dd91126f77f884d995f87bbb2