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Paper Citation Record · LEDGER

Larger language models do in-context learning differently

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2303.03846.

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

pith.paper-citation-record.v1
2303.03846 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:11:54.661994Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

100
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4e658e63-1018-415e-924b-3bb66b837360 · inbound

PaLI-X: On Scaling up a Multilingual Vision and Language Model cites this paper.

PaLI-X: On Scaling up a Multilingual Vision and Language Model Larger language models do in-context learning differently

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-17T14:36:10.077740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T14:36:09.971825Z digest=sha256:50390e73e1a7b83bccc02868990a29a5e174b815b3fb7042936ac57eeb14d82f

Observation d59144a9-7e16-475d-8557-baed50f2f007 · inbound

Large Language Models as Optimizers cites this paper.

Large Language Models as Optimizers Larger language models do in-context learning differently

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T00:04:31.329036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T00:04:31.212102Z digest=sha256:5922b917a140bdd7df3afcc28d217611efd0f17002f0688be1fd8a4f20ca78d0

Observation f1b636a9-9227-42de-bb0b-0d4e65af8b2b · inbound

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models cites this paper.

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Larger language models do in-context learning differently

Reference 45

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metadata mismatch
arxiv_id, observed 2026-05-17T01:22:04.165365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T01:22:04.035994Z digest=sha256:bbebd43408e322d61e3859ced5e68e6be3b1d96963c50512b128f5d16e392be7

Observation a4da1d9f-9bec-48fa-b80a-a73b4b63883d · 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 Larger language models do in-context learning differently

Reference 199

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verified exact
arxiv_id, observed 2026-05-10T17:34:42.816705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:c3bd92b1496500f4621d3f64aeb811c60156aa9c72fe8808aa36f86fdcd248c6

Observation 25b5a2eb-cc23-468f-b2aa-88f2d0ef7b75 · inbound

Investigating the Zone of Proximal Development of Language Models for In-Context Learning cites this paper.

Investigating the Zone of Proximal Development of Language Models for In-Context Learning Larger language models do in-context learning differently

Reference 46

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unresolved
no resolver link, observed 2026-08-08T14:11:54.661994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:11:54.661994Z digest=sha256:91a390640408675f0d894ad13bc7ea8e05c76d4c21665a76a5bee01778707a00

Observation c3264548-9292-4203-bea1-66d81c3bd693 · inbound

Filtering Learning Histories Enhances In-Context Reinforcement Learning cites this paper.

Filtering Learning Histories Enhances In-Context Reinforcement Learning Larger language models do in-context learning differently

Reference 11

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unresolved
no resolver link, observed 2026-08-07T15:27:53.820426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:53.820426Z digest=sha256:4d669b2778cd03525db12b3e0a1c55625b7c6aa5341cc477944b1894ea351340

Observation f74c2a9e-cb36-4b0b-97a6-86a64319831e · inbound

Pre-trained Large Language Models Learn Hidden Markov Models In-context cites this paper.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Larger language models do in-context learning differently

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:37:15.088251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T10:34:40.987583Z digest=sha256:665bea75d18113a60e23a780bc1438c6ce02c067e4541df6262fee6a421070b5

Observation fd5eb637-3f5e-40c1-a072-fe4f88997273 · inbound

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search cites this paper.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Larger language models do in-context learning differently

Reference 22

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unresolved
no resolver link, observed 2026-08-07T05:10:39.580010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.580010Z digest=sha256:23ed652d56301896b59d9e3f48aedc3cce066b6884e1b6253cb9fa4c0bc9e2ff

Observation dcd7efd4-f557-428e-9306-70fc13f5d681 · inbound

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models cites this paper.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Larger language models do in-context learning differently

Reference 71

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unresolved
no resolver link, observed 2026-08-06T21:38:15.320523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:15.320523Z digest=sha256:82efcbcac26b33d5d672ee98928a6a72646f562e47c21215b8f54f2f64df229f

Observation 45ec1ead-21cc-418f-afb0-61cf9278ec1a · inbound

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity cites this paper.

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity Larger language models do in-context learning differently

Reference 26

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unresolved
no resolver link, observed 2026-08-05T14:44:28.040635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:44:28.040635Z digest=sha256:78ab7c895b22c2ed95a5fbd9ba31ccd66610ae6f4c232d307a15c104a16b7fab

Observation e47e5f30-49b6-4893-92dd-f6423560770f · inbound

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors cites this paper.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Larger language models do in-context learning differently

Reference 31

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unresolved
no resolver link, observed 2026-08-05T12:49:12.452422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:49:12.452422Z digest=sha256:aaec25817021b33fa24c1b75df55f3a527b93622493dd07320fc6845af75da61

Observation 788a7275-8aca-4cd5-a3a2-8efcad524532 · inbound

ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval cites this paper.

ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval Larger language models do in-context learning differently

Reference 35

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unresolved
no resolver link, observed 2026-08-04T22:12:12.892191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T22:12:12.892191Z digest=sha256:8aefac4eafe4a7bc31b64293bfffa6a37c423f02f4373e3c46b1e10476f4e022

Observation e43ecbfb-f179-439d-802f-be5b4065a4af · inbound

PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability cites this paper.

PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability Larger language models do in-context learning differently

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T20:04:29.447841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:04:29.447841Z digest=sha256:d1ee617d0dccb6f03b52d5480d5d65da91bb4b339c719b9ce803b5fb28f919dd

Observation 83782554-1bfc-47e5-95b3-bd1140f90b06 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Larger language models do in-context learning differently

Reference 133

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verified exact
arxiv_id, observed 2026-05-18T16:41:38.086834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:f66e90862a3ffd91a6005bf26e60359c3ec094f8f6ec4268ec22a2785f68f033

Observation e3e2f62a-3369-4b5e-baa9-1e6a0ddb76bd · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Larger language models do in-context learning differently

Reference 134

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metadata mismatch
arxiv_id, observed 2026-05-18T16:41:37.436256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:26a96046ee30b975c61fc8d87a2c228abee17d30a4993a34f0e4736ad9c15c10

Observation 2306f87c-f3eb-49df-a765-46af29a78816 · inbound

The Few-shot Dilemma: Over-prompting Large Language Models cites this paper.

The Few-shot Dilemma: Over-prompting Large Language Models Larger language models do in-context learning differently

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T16:31:55.644920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:31:55.644920Z digest=sha256:439060d564c5896728479d0134f0bbdfd901ef1f590b2f5296a96bea37ed0718

Observation be039bba-4d1f-4288-92d1-1e4ecad38c07 · inbound

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis cites this paper.

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Larger language models do in-context learning differently

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T13:31:25.449430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T13:26:59.080330Z digest=sha256:681ab3394f4844be60a4520b40e144bbaf746a90262907b5e9ceab5f1e2b05f2

Observation fc8d0f1a-55da-4d14-9eda-3ac28cafdab1 · inbound

Epistemic Familiarity is Associated With Belief Stability in Large Language Models cites this paper.

Epistemic Familiarity is Associated With Belief Stability in Large Language Models Larger language models do in-context learning differently

Reference 21

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unresolved
no resolver link, observed 2026-08-03T20:37:41.746594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:37:41.746594Z digest=sha256:7f1d0feca3d737b3b65b3225a8e8143cf9afdaea663745ef068a12d6c270ce11

Observation 02b06cfc-026c-4b06-9e01-fcc448f74276 · inbound

HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation cites this paper.

HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation Larger language models do in-context learning differently

Reference 37

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unresolved
no resolver link, observed 2026-08-03T07:50:48.721927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:50:48.721927Z digest=sha256:e1c3c96e17e0a1c3b8745ff8e57b2c05b2a064c855567f1d31da60c50b35a2e3

Observation 561b3272-4cbd-4b76-ad09-b5ff27581c58 · inbound

Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers cites this paper.

Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers Larger language models do in-context learning differently

Reference 12

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unresolved
no resolver link, observed 2026-08-03T07:15:11.061072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:15:11.061072Z digest=sha256:ba0825ba65d394a4b5f73ee18f977471f91ac338d104b9071fb03a42e83cf15f

Observation f6dc2c33-d46c-4013-a9cf-62ff463f5d47 · inbound

TRUE: A Trustworthy Unified Explanation Framework for Large Language Model Reasoning cites this paper.

TRUE: A Trustworthy Unified Explanation Framework for Large Language Model Reasoning Larger language models do in-context learning differently

Reference 10

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unresolved
no resolver link, observed 2026-08-02T21:53:26.043170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:53:26.043170Z digest=sha256:5f75219df918efa6308734388dea87c5ce1df929a20dc173100ecae22128285b

Observation b59e0244-9a21-4165-b372-e7231690caf9 · inbound

Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size cites this paper.

Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size Larger language models do in-context learning differently

Reference 12

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metadata mismatch
arxiv_id, observed 2026-05-11T10:46:06.578259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:18:33.458143Z digest=sha256:02551ac695a701f4c5743ad6aac8ad22d356274f9affe5352bba026a65817300

Observation b7cae361-3a85-4923-bbef-25b2a0f3e20c · inbound

A Systematic Study of Training-Free Methods for Trustworthy Large Language Models cites this paper.

A Systematic Study of Training-Free Methods for Trustworthy Large Language Models Larger language models do in-context learning differently

Reference 52

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metadata mismatch
arxiv_id, observed 2026-05-10T08:22:37.347716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T08:19:42.671690Z digest=sha256:953f336b0bce7ea18cc3e3af7fbd55e056848f98685f99615fa4f273e9a1d133

Observation 8ba62ed8-9207-401e-96d3-72bc2b2d395d · inbound

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective cites this paper.

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective Larger language models do in-context learning differently

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:46:12.429451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T08:06:25.436395Z digest=sha256:4b331a8bac0d8bdf3df4307eda458ccb07fbf1fa52860096e6475d1384f37bc1

Observation dcf14d39-eb40-4b58-b690-f16809c65352 · inbound

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective cites this paper.

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective Larger language models do in-context learning differently

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:33:52.610086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T00:33:22.181383Z digest=sha256:31ccba1193be09f1fd34d7017a1d057f48294394f02d49bcdbfd5c16945fbe5f

Observation 2bc6d862-5e85-4348-a4ce-8ae15f615a1c · inbound

Task Vector Geometry Underlies Dual Modes of Task Inference in Transformers cites this paper.

Task Vector Geometry Underlies Dual Modes of Task Inference in Transformers Larger language models do in-context learning differently

Reference 46

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metadata mismatch
arxiv_id, observed 2026-05-11T23:36:36.356040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T16:37:26.420806Z digest=sha256:58a6d7a7317eb898c45166fc4e04b671e36371494711826e0b3b7862cdfb236a

Observation 00c0c115-2ac4-4391-84ce-2f47e227e51c · inbound

In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification cites this paper.

In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification Larger language models do in-context learning differently

Reference 45

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verified exact
arxiv_id, observed 2026-05-12T01:46:14.055573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T01:43:23.458204Z digest=sha256:33303206d633f54f99a266817cffc411f7e38eefec56e6d914604420511b9203

Observation 0fa17252-65e4-4138-a451-8bd5750c2291 · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces Larger language models do in-context learning differently

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:01:18.782497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T02:57:15.521594Z digest=sha256:fef5bd1b1d7f4de02c824325a7698d36c04aa0499e9ea2bb52c3de5d1ef462c3

Observation 80bd20c5-129e-4a35-a636-ddc87546fbfd · inbound

In-Context Learning Operates as Concept Subspace Learning cites this paper.

In-Context Learning Operates as Concept Subspace Learning Larger language models do in-context learning differently

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T21:39:03.530910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T21:34:43.735483Z digest=sha256:c2196db2c908a3dd3495d8564b3b5274ef698635ae7aa26ddc8751c89592874d

Observation af732792-de14-487a-ae3d-4917197ce288 · inbound

Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables cites this paper.

Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables Larger language models do in-context learning differently

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:44:41.994609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-22T06:43:31.886617Z digest=sha256:f98d2eb9abc0c35893907517521ffdcab2bd4d03ceb9482121689e53f118d1f0

Observation 8aab40c2-6bfe-4824-a75a-4707d30d37e0 · inbound

When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning cites this paper.

When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning Larger language models do in-context learning differently

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:02.708392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T22:23:59.570806Z digest=sha256:89904ffa45cbd715342f16ec93304a7fe70bd546ec976b32e9761721c842a04a

Observation 42d1e624-0c23-44f1-96eb-58d83776ca43 · inbound

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention cites this paper.

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Larger language models do in-context learning differently

Reference 19

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metadata mismatch
arxiv_id, observed 2026-06-29T08:43:15.245291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T08:39:14.327838Z digest=sha256:a44bf553a12ae0f11bdb8c2c9b75bdd337479fe774cb9801c11a94ab751f0c49

Observation ed8833ba-17ac-4022-bdd8-504c5be1d68f · 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 Larger language models do in-context learning differently

Reference 263

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:36:22.769987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T14:13:13.648560Z digest=sha256:6e928ac37d22a2e49d78f65d82592dc88a9e5a0edb725931d6ab7189ed5a0b87

Observation b5373456-2d4f-4be2-90e6-8d3082361eab · inbound

Constitutional On-Policy Safe Distillation cites this paper.

Constitutional On-Policy Safe Distillation Larger language models do in-context learning differently

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:36:25.452154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T11:47:14.135793Z digest=sha256:8ca95a152a40f825e7a881bec49f2a9c47f8865ac332e880cd63d4b7fd1c9c79

Observation e4c85886-a6f7-449e-8f29-18b2ced1375a · inbound

OpenRFM: Dissecting Relational In-Context Learning cites this paper.

OpenRFM: Dissecting Relational In-Context Learning Larger language models do in-context learning differently

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:06:41.434356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T07:37:38.063200Z digest=sha256:9aff15f2820a5d6520daf0a4464bfc5824f531755ec1389181ed5e977d6b24f9

Observation 861b3f0f-7ebc-4ff1-a11d-f3c4767e34dc · inbound

Priors Persist Through Suppression: A Stroop Paradigm for Lexical Override cites this paper.

Priors Persist Through Suppression: A Stroop Paradigm for Lexical Override Larger language models do in-context learning differently

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:24:00.809430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T22:15:37.716848Z digest=sha256:3f3c5ca26d3b0aadf1c9b715ec84b99b52b85827c97d7371c01349fd2074ab47

Observation 1c8d6e12-362a-441c-974c-c3133892e7a2 · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Larger language models do in-context learning differently

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:07:23.533197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:588594ee762df40167c93b0e4c60d64774f8104b96c979ae9b8a9f27c2cc44ab

Observation 3fd48ac8-6c08-4481-873e-7b6fc42cd60b · inbound

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation cites this paper.

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation Larger language models do in-context learning differently

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:18:37.608265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T05:56:51.623324Z digest=sha256:058c78cfa3a17ef5e57a5e596ca810e1565bdb9d016577411f9429d8e6dc8c9c

Observation d5cbf27c-8551-4941-b86f-e792888a46c0 · inbound

Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch cites this paper.

Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch Larger language models do in-context learning differently

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-12T00:51:41.905788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:51:41.905788Z digest=sha256:7528f4e50e5d387d58452717441987e43136d225455edc9a560fef7820d15322

Observation fe66e50a-6844-4116-a491-60e63c3f7903 · inbound

TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction cites this paper.

TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction Larger language models do in-context learning differently

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-11T10:18:01.537693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T10:18:01.537693Z digest=sha256:8e3b3aa73219188247a7f00a81732b1599e484a38b831d2bbda7efc2706af99e

Observation e28cdf2d-ce2c-4581-9cb4-0770747ede57 · inbound

Data-Efficient Adaptation of LLMs via Attention Head Reweighting cites this paper.

Data-Efficient Adaptation of LLMs via Attention Head Reweighting Larger language models do in-context learning differently

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T05:16:38.005390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:16:38.005390Z digest=sha256:b5137e6c77b67ff7226922e20f62fe508d55831846d7636229e640cf36072978

Observation 7a1dfc39-61a7-4f8a-a4d0-070c80358a84 · inbound

Test-Time Scaling via Error Localization cites this paper.

Test-Time Scaling via Error Localization Larger language models do in-context learning differently

Reference 151

Resolution
unresolved
no resolver link, observed 2026-08-01T07:28:33.761223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:28:33.761223Z digest=sha256:b75fdbbda98ea3002966eff2d3b2c39584d94192165faf5866034683d9fc36ab