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Paper Citation Record · LEDGER

Larger language models do in-context learning differently

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 46 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 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:51:50.063105Z

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T14:36:09.971825Z digest=sha256:dabff6f70b98992aeb1472931782ebeac0f5c8e11a32db0cf7f1ccec01cd0fbd

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T00:04:31.212102Z digest=sha256:1f2bf528814181cba8b13a0e578b241c58dae15844cf6013ac60d293b858ff02

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T01:22:04.035994Z digest=sha256:9f25a89049bf048b7bb1b353dac54c89b4d52ad278c3ad9b5c09af4933833b8d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:c186fd1ce33c1c90801fb547f9b698340316926ede9a66d9795f5238b6265c9d

Observation 41ce6bf4-8be9-4249-b8ef-f2f69a95b4bb · inbound

Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs cites this paper.

Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs Larger language models do in-context learning differently

Reference 42

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no resolver link, observed 2026-08-09T20:51:50.063105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:51:50.063105Z digest=sha256:e3be8a9ea9c9ca38bf9b4d5f8e397711cb6b9ab21bdc789cba1536a56c53e4bc

Observation 23296d28-0426-4f7e-b581-d67b34d7db99 · inbound

The in-context inductive biases of vision-language models differ across modalities cites this paper.

The in-context inductive biases of vision-language models differ across modalities Larger language models do in-context learning differently

Reference 21

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no resolver link, observed 2026-08-09T15:04:35.425399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T15:04:35.425399Z digest=sha256:4f30188d7c0664c4f5bff633eac6a50f900984696e86d8f85e767794192753c7

Observation 82f0cb2b-fa3d-4c21-9865-133d7f78114c · inbound

Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation cites this paper.

Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation Larger language models do in-context learning differently

Reference 81

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no resolver link, observed 2026-08-09T11:13:40.172249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:13:40.172249Z digest=sha256:34589db1fc393a49cb7bc500e453ce0c47f5a623de0ccbe2218bd3b653ffacc7

Observation 459ecde1-0762-4349-9e7b-6903b4a72f76 · inbound

Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture cites this paper.

Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture Larger language models do in-context learning differently

Reference 30

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no resolver link, observed 2026-08-08T22:01:38.758074Z

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source=pdf_text observed=2026-08-08T22:01:38.758074Z digest=sha256:4a025766a2485da244f157175b2aa1fc3380ef3727859067f0bdef203916e0c5

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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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=sha256:9fa0ae1e760eaf8080f7303fb894078d5b7263bd58abde769ea59429039699da

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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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T10:34:40.987583Z digest=sha256:c831820e1b7ca1392ce3380e0f7b4d2667da86c3c4af36ded0917c0d7194d74f

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:49:12.452422Z digest=sha256:786e5f7ccc3b3dda37e1cbaa197cac25adb56f21a2b56e764bbc5c71f31f3dcc

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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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

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

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source=pdf_text observed=2026-08-04T20:04:29.447841Z digest=sha256:189d980752194604d61f05ae65c48ccbf5372979db6c337195822565043aa958

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:2ad761c430e0065f770cc545a4cb6301d324848321cd7d0fc0532e3a907e89b0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:916424ae8a736e420d0b4e36ada70f9f17a7f585f3fba3a6fb809a9ec803b7d3

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

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T13:26:59.080330Z digest=sha256:4fa1a9eec99033068787d7a9f8c7afbd61917c8a3de3cbcc3aee44192b5ad9dc

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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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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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=sha256:58675eced807466abcab3bfe353cece7e3c0da85874032cb0e4e14ccb9f4550b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:15:11.061072Z digest=sha256:038bf2b9b476c10e3d25ac34b669edaff983e6cdc65216f2d37a4dd1541e4568

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:18:33.458143Z digest=sha256:1a2a36fd2a28ba557a965eb22cac449f7b9a6a9af9376ebb8514d9f107f87210

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T08:19:42.671690Z digest=sha256:692437d0af22797317d81520faa2363e0b57779bdcf9294565baeac311d1a3c8

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T08:06:25.436395Z digest=sha256:ce09f78d672dde94938278e0dd0ae69aa77c35f511917d049384b2153e0aca8c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T00:33:22.181383Z digest=sha256:f794adb5797f9575e5fb7192d17fb38e3256cb3f2c130d1837151e151931d574

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T16:37:26.420806Z digest=sha256:254e5bc5d37d99825c60f8764a2840459d1fb5b510a2cde43614aea26bcb6114

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T01:43:23.458204Z digest=sha256:04c1ae0c45ca24770bef72859efbccd5268c0af8c884d02107f7622f985de89c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T02:57:15.521594Z digest=sha256:2d8dbf9b550607e903501df14cd1b9775ea04f6a52c054ca67f3a4eeafc3ad73

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T21:34:43.735483Z digest=sha256:513b7fb9f275396a9bcf0587bd46cc091bf11ee9da740f3ffdb33c247e05b148

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-22T06:43:31.886617Z digest=sha256:8869cd305673ba12e2942c4bc77be46c77781928fa1b57e7a857a0570f83901d

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T22:23:59.570806Z digest=sha256:11bddccd6769a0dda24ca16ff6ad4f74a1999f7db09f8ec31091160ddfadb647

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T08:39:14.327838Z digest=sha256:f8b43e5965541516f8fcb8290571a36e305a532aa8557fe88ecaf162a4666fe0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T14:13:13.648560Z digest=sha256:ffe3d9bacd35831c4f7238df73296ac916143c92c7fc17385ddc29ee3d407d1b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T11:47:14.135793Z digest=sha256:6a1255a787ab1cf6bcebf415e31c9b37440dbb019fe30d420290412758d71135

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T07:37:38.063200Z digest=sha256:e0db89b03bc53c4ca53821a1d59acbff78e3bbae4adb6418f1c651f50178ad65

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T22:15:37.716848Z digest=sha256:0faf6ba7880d2e62a89d8fc8a5a859f7c6f2540ee61acc481fc9ebfa1c5d41a6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:b56f26cce449adfbfaf6ea1be5ac1ec41b531ffaa4b53299fe95fefe7e384779

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T05:56:51.623324Z digest=sha256:813594a8394daf226140817425fdef16262b7e8f8867a666171ec1f2cc31e5bc

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=sha256:4b91d7064ad95f62fcbb02e74be9f21c35dc75c7aa0b48b83f62350e1d0b70d6

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