Pith. sign in

Paper Citation Record · LEDGER

Larger language models do in-context learning differently

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 70 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 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 70 of 70 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:53:43.389602Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T14:36:09.971825Z digest=sha256:f53b86c470af68436b6259e870f7a2f783e1d71dcfe94ccf66e711bc58898c1a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T00:04:31.212102Z digest=sha256:a58b18d865dfcf1c91adea1b9aabd2655800bd1b79ac9489fd9933b188735d45

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T01:22:04.035994Z digest=sha256:07346b507435ea835759e2be947a5eff863b29fe631a6414796cd3da47f17c57

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:058a0712d7a5e35850de08e47aec80557f3a410d428215d05f3a09ddc82092ee

Observation dfe39ed9-18f1-4c98-876d-2f6f99198828 · inbound

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering cites this paper.

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering Larger language models do in-context learning differently

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T19:10:15.528361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:10:15.528361Z digest=sha256:02f6ff66264e15d338ea263fbf6727bbc92c869c38c87d45a04a2dafa5aa18b9

Observation 2d15a519-9ab5-4c5d-9b26-06ce2aaf7a31 · inbound

Evaluating the Prompt Steerability of Large Language Models cites this paper.

Evaluating the Prompt Steerability of Large Language Models Larger language models do in-context learning differently

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T17:41:37.814156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:41:37.814156Z digest=sha256:46f47ed308e1721a76d3d37d2371050470043dba7cbc9d4dd65c2887e281a049

Observation 205c90c8-e051-41f4-845c-0666c1fb871c · inbound

Teaching VLMs to Localize Specific Objects from In-context Examples cites this paper.

Teaching VLMs to Localize Specific Objects from In-context Examples Larger language models do in-context learning differently

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T16:39:40.656379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:39:40.656379Z digest=sha256:d34d47832600fea782c7c29f77991da3ace0661a3b4196732223955e4a44c470

Observation a6b82b9f-4b35-4379-bf5a-90e4f4699d2b · inbound

Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models cites this paper.

Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models Larger language models do in-context learning differently

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T19:34:41.888302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:34:41.888302Z digest=sha256:662f0ded9c0e9215dc847513687884b5b5a48f556eb06f4ca4e867e0acb54710

Observation 71372088-52eb-459b-a3da-ec63ad10f9df · inbound

Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT cites this paper.

Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT Larger language models do in-context learning differently

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T13:58:34.256647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:58:34.256647Z digest=sha256:28131c0e774b3b7ddd4dd6c9ddba699ae99e7e5b16b14b69542f7c5ec7d7e129

Observation a45b0064-137a-4db2-81aa-f4cecb9cfdea · inbound

Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency cites this paper.

Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency Larger language models do in-context learning differently

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T13:07:04.398193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:07:04.398193Z digest=sha256:218a07d0218f4421ff8ccd7efe52e5d654b355c877877040054e3244d04c2bd4

Observation 8a36b9cb-4965-4aff-9eb5-46e8df97bf1b · inbound

In-Context Deep Learning via Transformer Models cites this paper.

In-Context Deep Learning via Transformer Models Larger language models do in-context learning differently

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T13:07:59.545684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:07:59.545684Z digest=sha256:4ef3466afa173f47c5df65713246e2293da09f86facde882693a16c1e7e4f8e3

Observation 6c9d3381-ba32-4bc1-ae51-1054bee19f66 · inbound

Differential learning kinetics govern the transition from memorization to generalization during in-context learning cites this paper.

Differential learning kinetics govern the transition from memorization to generalization during in-context learning Larger language models do in-context learning differently

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T10:58:18.307989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:58:18.307989Z digest=sha256:d8f1da4428ef9170077df67a6a843b47167b7465456a074992802f6e98fb3d3c

Observation 9cfe3bf7-2b05-40ac-bf47-1aef1ef584da · inbound

The broader spectrum of in-context learning cites this paper.

The broader spectrum of in-context learning Larger language models do in-context learning differently

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-11T22:10:23.042101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:10:23.042101Z digest=sha256:7750bb62dd90f470cf17dc77085c1a826a5fe01c09d4071cfa6a2df2464d7d3c

Observation 2706c7a7-9a30-4089-bfe9-d7328f4abac7 · inbound

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks cites this paper.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Larger language models do in-context learning differently

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T20:29:54.132241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:29:54.132241Z digest=sha256:e3abface9e1d5dbd2019df4b068df3868bda07c9b8f32225747dff878f69ad7d

Observation 1a85ad85-4774-4a3b-9fa8-dffe70884ab0 · inbound

RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios cites this paper.

RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios Larger language models do in-context learning differently

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:31.695578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:31.695578Z digest=sha256:b60521dcec81b8a6aa357351687f4a9a2b78c9cc6b3317a406f2bc5d2e6de877

Observation 7cfbe02a-83da-4bbb-9066-d738f8092778 · inbound

PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection cites this paper.

PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection Larger language models do in-context learning differently

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:07.237847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:31:07.237847Z digest=sha256:8d41d541d886186b80674ddb2682c36374b4636b7ac68857087030c9f13d6114

Observation 67bb5108-2335-4159-9626-ec8520dcc5a9 · inbound

Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations cites this paper.

Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations Larger language models do in-context learning differently

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:41.319776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:41.319776Z digest=sha256:dc8919243f1bf38e1bdfd0a468f16124271880dfd3210675467a9da3602d6326

Observation 41e77ac2-df81-430b-b40d-efa7aec7425b · inbound

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model cites this paper.

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model Larger language models do in-context learning differently

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T18:49:26.049416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:49:26.049416Z digest=sha256:dac5b73d802f81f254f1ba09047e2fc815cd4a1786c4bdbbfebc0bacab736d22

Observation bbfc8a5e-5f60-4dcd-ae78-5c82d2561483 · inbound

StaICC: Standardized Evaluation for Classification Task in In-context Learning cites this paper.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Larger language models do in-context learning differently

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-10T14:06:14.517258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:06:14.517258Z digest=sha256:f096c1fbdbf74298f67541e469a8007c102bfeb1e1b3c94a3afc341462c6f36d

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

Resolution
unresolved
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=sha256:9a3dbd8702288e746f128f6ee95d58e014c389f298f8b169829bc8f7b6e68e31

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

Resolution
unresolved
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=sha256:975ffd500df30966a1ac6e86033b0c2cc652f75ce601658021e7830fcb1602b0

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

Resolution
unresolved
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=sha256:9adc397df3366c293ef7d4fdcb2b01d8368cdd151daf5dc77e19f9baa33bd652

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:01:38.758074Z digest=sha256:32095615a38910706ff9e282b986c6127cb2f211990b342abdee227482d708ef

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

Resolution
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=sha256:4a579010198f374f77cdb29a3fa8a690de52e7ca95c41ddb5b654c5c8d03a986

Observation a51fb5f1-63cb-48f7-861b-9d725b4c5541 · inbound

In-Context Learning can distort the relationship between sequence likelihoods and biological fitness cites this paper.

In-Context Learning can distort the relationship between sequence likelihoods and biological fitness Larger language models do in-context learning differently

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T10:53:43.389602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:53:43.389602Z digest=sha256:cd551d8ede4687583276d5a9f4003ea2d39adb2f56cde7e044eaf975585aa6d5

Observation f271e597-d663-4a02-95d6-5f80d84d3957 · inbound

Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning cites this paper.

Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning Larger language models do in-context learning differently

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T05:12:43.275668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:12:43.275668Z digest=sha256:0b3dee7b554a3f1fc215657bb8bc6288bba37f8e3212d4e8ad49bfb6d1132dd1

Observation 0804d742-43fb-47e9-8167-64e32c3d59ba · inbound

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks cites this paper.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Larger language models do in-context learning differently

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T04:55:41.374562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:55:41.374562Z digest=sha256:9caff58451e4d3ff263f4039a1e4c6e5d022826a7d04662189baf85f0879993b

Observation 16370a3b-e427-4e7e-acf6-71b03a41b8d8 · inbound

Incomplete In-context Learning cites this paper.

Incomplete In-context Learning Larger language models do in-context learning differently

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T22:24:59.694539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:24:59.694539Z digest=sha256:a815e0558df1a8892bf1a8b5ea4b06819d6ef4fad16fbf927b01682e178104b0

Observation f8aa1593-2702-45ac-a2c3-1b4309ae879c · inbound

ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning cites this paper.

ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning Larger language models do in-context learning differently

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T20:37:37.474228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:37:37.474228Z digest=sha256:2d5bae4b9194dc2a4fa4d001b7d53de769a8a143f39e699cf3b6241c7d55b803

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

Resolution
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=sha256:3f3247a9bb04577e9353ff6cdc8f99ad564357968b3f0cdd2f1c4cc048b985ba

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T10:34:40.987583Z digest=sha256:28abe60a1ea780348969568dc70a1d6e16fd5a8f5e9bbbbc77da5801de2c51f6

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

Resolution
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=sha256:3ca059bebe0d8912666bbecabb0f9d2ea461d1e58c606c93f3e30fd0716c430d

Observation c7061bd8-2fb4-4879-a59c-8b4eee0cdd64 · inbound

In-Context Learning Strategies Emerge Rationally cites this paper.

In-Context Learning Strategies Emerge Rationally Larger language models do in-context learning differently

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T19:07:53.501355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:53.501355Z digest=sha256:af364f1c2b1752dc193b3e250cefef4179fa5868dbfb1ae973dcbbfba3b4e474

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

Resolution
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=sha256:93c35108caa88db78f60f032d14dadbcdc60a98c6346dff3e10e5fa8cec975ff

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

Resolution
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=sha256:5a844e5b34df54e349a5f117077384b6e82d6bd91cddd7f8f862791139aaec8a

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

Resolution
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=sha256:4c3dab423a4e0f1d929a596cecd53b14b360e1bffc30c66b817754af19236ad8

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

Resolution
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:ce504d531c4824e03d1b0f91829fc25b8a0b79b2a28125665bf57abaa4dd4a1b

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:bc31eb85f60f5f1f76ada7878a2fa72c88a22edbf8d633b001281a2927fadcf0

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:4704e7ab1d218b7b43cdd381b350c2bf09434854f3f834837b7c2ff8e78ebd48

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:902a5a7aee6d60e7fa95a1aeb46b5f82bddfeb54d92b928a9050ba9475ef3889

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=sha256:66b2e93a37ea3bbcc3613248f9c85a6e509003f1a351c06de8fd7cd6932ff605

Observation b68b7456-c44d-4d83-a309-b3e1375cef25 · inbound

KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning cites this paper.

KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning Larger language models do in-context learning differently

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T15:56:37.951768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:56:37.951768Z digest=sha256:b5f584d82c3d996e624ed4514c68d71f8430578b10a2f56a426b51e469f3f068

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-18T13:26:59.080330Z digest=sha256:da8c43ebca4b9c7263561d17689e91360729ba4a983db2f63ad1a834d9a0caed

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

Resolution
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=sha256:814f0972e15992e8cf3ad60265a1bfebdc7a8b3367dee26a0b047f8d6ff38faa

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

Resolution
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=sha256:87081edf0264c527646592aa3841f82381fe75938fea7989dcc36dc4369496ed

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

Resolution
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=sha256:47805a5621484f23de38f8e2bdf73701280a3a3959dc3576d53dbaa857c4b531

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

Resolution
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=sha256:0fd3918fee9573281792f5cb4ec9fe54a8379846deaa081fbcec6cb3458cd2e8

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:18:33.458143Z digest=sha256:3ff79a42c948b8feecb4c040c829399c016898471a3239aa48eb6c74b8885d28

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T08:19:42.671690Z digest=sha256:d5f49bdfcf4287952191723bcd502272476df64a38cb58c12e62b8a3dddad186

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T08:06:25.436395Z digest=sha256:cc05e4f1ab3b307a622c2879091376bec9a7bf7cbfcb17a5f14df47aa1a2d860

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T00:33:22.181383Z digest=sha256:ad6a2f3d5aae9c1dd8f7ee6438b3f7b2f1c5a37c43146e2756b56432548402f8

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T16:37:26.420806Z digest=sha256:7889fe93bc8807a3cf85031852369524ce8958b735e4f9ad14b5d77914151de5

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T01:43:23.458204Z digest=sha256:e4df6bed5400bbd5762c40c3fbdae36fae7f589276240605f0247622cfb4a021

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T02:57:15.521594Z digest=sha256:d29ab3b63ca904d1c5ac134711922a614925cd27f7ed0953ea954a40cfbeeeb1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T21:34:43.735483Z digest=sha256:20b5cba3d8f1f40e48f1b657113d0e5202f64ef888660749248f6ccbea79d09d

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T06:43:31.886617Z digest=sha256:5667f913db50b9235c7b31544d350d87cce14aff688d82f5f66d7c34d960975b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T22:23:59.570806Z digest=sha256:e603ce5dcc3d28fe1e216480e2026b53f756d03033e2c43dc4a018bcc2be88e6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T08:39:14.327838Z digest=sha256:1955e3ce869f09d0e6d54ce014bf22fbcfdd48f0feec5dd2a5bc206fb1fcdd04

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T14:13:13.648560Z digest=sha256:eeb32a58c8057348d928a7d0d7cfb6ade930539d2c55c26e4bbc6504b41812d2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T11:47:14.135793Z digest=sha256:ae81a91082b3275b8216bf8215b42c04152fc47cc4f837e0e2ade795fa98c889

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T07:37:38.063200Z digest=sha256:9610a59d1fe5ea7148273b4c072badaff71561fd286173cb0d3a13e45ef75986

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

Persistent Priors, Preserved Targets: A Stroop-Style Paradigm for Lexical Override cites this paper.

Persistent Priors, Preserved Targets: A Stroop-Style 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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T22:15:37.716848Z digest=sha256:4a78837192ce4303612eb8c33139d9fa153240ef4c788d0516424d9e7b123dc8

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:fe73215c75c96873de0dd136302f425b6e736f294a7d84af3f3e59b1f3bb1bb5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T05:56:51.623324Z digest=sha256:187780d3306dc023f47a0917104cdf856d9bfc819fef7c129dcd86cf34738d59

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=sha256:284a5000d4589a65d15e7a2a1f8b4b44b34080885cb7466fb64a7ab8d701f4de

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=sha256:8d42d2c92a0bf7949b0a09a3e94cea525a1da9a497ca21728b55b0d698d9a1f4

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=sha256:8b02d1ecf24d81ee8e312023bcb8311d75d1bdbc6e0a479aaa4dc64d698f673f

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:ef6d2f0d0779cfc154c87a8f15162072870686e337f74dd1d00ae569d0c77448

Observation 776dc142-fc57-413a-9d1c-f245d7b12027 · inbound

Harmful Content Is Not Enough: Continuation Framing Moderates In-Context Emergent Misalignment cites this paper.

Harmful Content Is Not Enough: Continuation Framing Moderates In-Context Emergent Misalignment Larger language models do in-context learning differently

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T00:22:49.806663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:22:49.806663Z digest=sha256:a9585bdf22a918702c091e00b0de53236bdc038ee45b1ae0ec588f12353172f6

Observation 0275973a-d44e-4f1d-a9cd-ca94e0a4c497 · inbound

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling cites this paper.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Larger language models do in-context learning differently

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-12T14:10:45.268357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:10:45.268357Z digest=sha256:11b9bb1abb6c286fb27fcfce5327cb3da1b2adf3ce5cb68b16ab672ca567e1b4