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Paper Citation Record · LEDGER

The Role of Diversity in In-Context Learning for Large Language Models

As of 7 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 1 inbound Pith citation observation for arXiv:2505.19426.

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

pith.paper-citation-record.v1
2505.19426 v2

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:39.391667Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:46:08.354944Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

76 of 76 outbound references displayed

  • verified exact3
  • verified fuzzy30
  • unresolved42
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfc1bfc7-ed8c-4fbe-85c3-acf8f207db72 · outbound

This paper cites What learning algorithm is in-context learning? investigations with linear models.

The Role of Diversity in In-Context Learning for Large Language Models What learning algorithm is in-context learning? investigations with linear models

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:43.741157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:36.158609Z digest=sha256:c0b599043bd35e7fa69b1833e426920b19b0409a8d11ffea4a52d2abc7e48778

Observation d6311507-a540-4def-8444-1924af898389 · outbound

This paper cites How do in-context examples affect compositional generalization? In Anna Rogers, Jordan L.

The Role of Diversity in In-Context Learning for Large Language Models How do in-context examples affect compositional generalization? In Anna Rogers, Jordan L

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:36.212056Z digest=sha256:ff33889659e76016a54614386c88f82845aa46780c54a6049bc44646b85bb1ea

Observation 0a25624b-69bb-4ef8-aad1-d96e7ac95e16 · outbound

This paper cites Skill-based few-shot selection for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Skill-based few-shot selection for in-context learning

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:36.250242Z digest=sha256:ee665b1b1aeb0e46d1eb5c93b9e3a3d18157058950864ef215847494d217496c

Observation def31a0a-567e-45dc-9c80-8c6f052aae00 · outbound

This paper cites A Theory for Emergence of Complex Skills in Language Models.

The Role of Diversity in In-Context Learning for Large Language Models A Theory for Emergence of Complex Skills in Language Models

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:36.337833Z digest=sha256:018b08f0e40077a0d749184e2707ed0f7f0038c48467b000608b7d9f0ecb69ff

Observation 82442d33-60ce-4365-9f70-eeb3e48a582c · outbound

This paper cites Language models are few-shot learners.

The Role of Diversity in In-Context Learning for Large Language Models Language models are few-shot learners

Reference 5

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unresolved
no resolver link, observed 2026-08-07T14:21:36.374226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:36.374226Z digest=sha256:3b677ae47f740b0e33cc6fc11df534a3b76151cc83135f058187756af4219e78

Observation aa7794d3-ec44-4d57-982f-c447716ed5fd · outbound

This paper cites Data curation alone can stabilize in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Data curation alone can stabilize in-context learning

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:43.652756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:36.399724Z digest=sha256:f2ee5ac6f8dfe2344487d8d2f180129e7758b1674c6d870026be342ee5ad2528

Observation 3da4f937-126e-4628-8749-3ca93dd9fb3e · outbound

This paper cites Fast greedy map inference for determinantal point process to improve recommendation diversity.

The Role of Diversity in In-Context Learning for Large Language Models Fast greedy map inference for determinantal point process to improve recommendation diversity

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:43.517859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:36.444954Z digest=sha256:c3c832254f2a8bf7ec04517e2380bd1b0e6b14790919fd004c8d0365ca4aef25

Observation 1f76aa18-aa7f-48b4-a8eb-519da07ffb1d · outbound

This paper cites On the relation between sensitivity and accuracy in in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models On the relation between sensitivity and accuracy in in-context learning

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:43.435620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:36.502605Z digest=sha256:07b707d7c162f3ea13e3751e3ffbf677ae904c3587471578376ebd645189fc76

Observation 5b080a85-8b72-49ac-945f-6597c665bf4e · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

The Role of Diversity in In-Context Learning for Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:21:36.528062Z digest=sha256:014a4f0cd8cb26b69c8ac96013b62ebebd130bd16f5bc282a5c1bea63740d82b

Observation 2cde3140-4b62-420e-8dfd-afbc0499a173 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

The Role of Diversity in In-Context Learning for Large Language Models Training Verifiers to Solve Math Word Problems

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:36.560851Z digest=sha256:c87bafa244c7eae85040d9a1b6eb7def9cb5eb97ffa4ea59e28342c6946e91f5

Observation 0e3bc7e4-554e-44c0-b2fb-9d8974f5a26e · outbound

This paper cites Cook, John P.

The Role of Diversity in In-Context Learning for Large Language Models Cook, John P

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:43.306500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:36.583421Z digest=sha256:b18f15bd9b4102fdc414d561a3c66672713d19d2b741cefbd0a8fb5fab843ae9

Observation 2ae54ca4-1c31-4e51-891e-2ad1b340d667 · outbound

This paper cites Why can gpt learn in-context? language models secretly perform gradient descent as meta-optimizers.

The Role of Diversity in In-Context Learning for Large Language Models Why can gpt learn in-context? language models secretly perform gradient descent as meta-optimizers

Reference 12

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source=arxiv_source observed=2026-08-07T14:21:36.674602Z digest=sha256:0ca107cbc350fe0566202d54ee05b08f64d2574b2525d5e9c845d1d7d1076796

Observation 4cde1ff0-ca09-4f90-bf6e-c463646f354a · outbound

This paper cites In-context learning and gradient descent revisited.

The Role of Diversity in In-Context Learning for Large Language Models In-context learning and gradient descent revisited

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:43.224783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:36.679521Z digest=sha256:5f3b27412dbb0d7b19ecfe95f315dc537fd1ad4cb9b704fd4346690929f8fe9d

Observation 1307657f-a25f-458d-8f68-47d2f2c4439c · outbound

This paper cites Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving.

The Role of Diversity in In-Context Learning for Large Language Models Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

Reference 14

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no resolver link, observed 2026-08-07T14:21:36.684203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:36.684203Z digest=sha256:4599634434277a18ecd9e6b6f016f81b09e6f7380e0bde325488e0cf58a7e81f

Observation d92d744a-7034-464e-aa3d-b57b6a2cf335 · outbound

This paper cites The Llama 3 Herd of Models.

The Role of Diversity in In-Context Learning for Large Language Models The Llama 3 Herd of Models

Reference 15

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no resolver link, observed 2026-08-07T14:21:36.738849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:36.738849Z digest=sha256:aa5d850b25c7f0dd626751005bc3ec77fe08b580f9e7ed1f7c9e7fa16c50f3d8

Observation 8ad19db6-a037-4b07-91be-4e4e3e5341ef · outbound

This paper cites Constructing effective in-context demonstration for code intelligence tasks: An empirical study.

The Role of Diversity in In-Context Learning for Large Language Models Constructing effective in-context demonstration for code intelligence tasks: An empirical study

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:43.074907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 07ccc337-7068-4ec4-a76b-224290f05bcb · outbound

This paper cites What can transformers learn in-context? a case study of simple function classes.

The Role of Diversity in In-Context Learning for Large Language Models What can transformers learn in-context? a case study of simple function classes

Reference 17

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no resolver link, observed 2026-08-07T14:21:36.839014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:36.839014Z digest=sha256:9ccb81407b4b78d7dc490e0588a136d091e67d30b1115c1d41c25bcbca52cd76

Observation 5501d259-7d0e-4e4f-879e-4e92ef7a55bb · outbound

This paper cites DUAL: Diversity and Uncertainty Active Learning for Text Summarization.

The Role of Diversity in In-Context Learning for Large Language Models DUAL: Diversity and Uncertainty Active Learning for Text Summarization

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:21:40.184629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:36.898976Z digest=sha256:c0126343f6999b1e91f5696f075744e1e31562a8fb3ccb8ead0b8dc6ad406378

Observation a36d1eba-5a15-47e5-829d-e22a6c2f3897 · outbound

This paper cites Coverage-based example selection for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Coverage-based example selection for in-context learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:42.917388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:36.954961Z digest=sha256:fea8b6a409e7031291e3f4a92601976b88e818bfd7062720eb844f73045df806

Observation 0baaccbf-b936-41ed-8394-1f505d87c154 · outbound

This paper cites Mistral 7B.

The Role of Diversity in In-Context Learning for Large Language Models Mistral 7B

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:37.032838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08280556-9764-4d4d-b0a9-b52218e1f21e · outbound

This paper cites A Latent Space Theory for Emergent Abilities in Large Language Models.

The Role of Diversity in In-Context Learning for Large Language Models A Latent Space Theory for Emergent Abilities in Large Language Models

Reference 21

Resolution
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no resolver link, observed 2026-08-07T14:21:37.098271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.098271Z digest=sha256:d09f15c12c3d62ed289b402f12cb34486ca453fef85d4b62983147178c2d5334

Observation ad927071-aece-4d49-8941-78153ab09858 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

The Role of Diversity in In-Context Learning for Large Language Models Dense passage retrieval for open-domain question answering

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:42.794582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:37.157507Z digest=sha256:4a52030fd0dd8d184b0c1ada999035a1f82b944cac2c6c77b2ba77f0a473c859

Observation 1592d5c2-ca54-4d5c-9031-e445e5626527 · outbound

This paper cites Diverse demonstrations improve in-context compositional generalization.

The Role of Diversity in In-Context Learning for Large Language Models Diverse demonstrations improve in-context compositional generalization

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:42.666921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:37.216495Z digest=sha256:20932cb0d4ad22bea34f083bc25278799fcf6d495a001552648b2a632a840a28

Observation 7e530654-670d-40d3-b7b8-b0a1258d42e8 · outbound

This paper cites Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers.

The Role of Diversity in In-Context Learning for Large Language Models Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.225647Z digest=sha256:a481519ba57d3dd80dc17416a78b8271a512d9be9bad6e5b63dc3f1f7cb6a4fa

Observation 561c2c0f-1f60-4673-8fb0-b6b8348b1792 · outbound

This paper cites The Closeness of In-Context Learning and Weight Shifting for Softmax Regression.

The Role of Diversity in In-Context Learning for Large Language Models The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 25

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source=arxiv_source observed=2026-08-07T14:21:37.230942Z digest=sha256:d06bde39a91a3e6179401117a65c1a34438eb44d3a4f9eff45a9dbe1b1019333

Observation 59723463-df5b-43cf-b0f7-20a7880f77b4 · outbound

This paper cites Finding support examples for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Finding support examples for in-context learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:42.573013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:37.235386Z digest=sha256:f327c467087cc57d4cccf2f1187e98d252e13945d2b48bf6b5b65fb6e1b4f111

Observation 78ef13ea-c9f4-451a-bb32-27726daa761f · outbound

This paper cites Finding Support Examples for In-Context Learning.

The Role of Diversity in In-Context Learning for Large Language Models Finding Support Examples for In-Context Learning

Reference 27

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no resolver link, observed 2026-08-07T14:21:37.246695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.246695Z digest=sha256:d0f5dff18482a610845777c9c21bd1422f2340e2287cb4c9d5ff82279642f69d

Observation b72d814c-39ec-4867-a715-98404b8e3009 · outbound

This paper cites Transformers as algorithms: Generalization and stability in in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Transformers as algorithms: Generalization and stability in in-context learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:42.468364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:37.292908Z digest=sha256:15e56e2c65ce06b3dcee1753de178cd4227d4c20d6ca4e9be05a78bd23fe29be

Observation 0f7ed8bc-2353-41ca-8bf8-a28d2decc735 · outbound

This paper cites Let's Verify Step by Step.

The Role of Diversity in In-Context Learning for Large Language Models Let's Verify Step by Step

Reference 29

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no resolver link, observed 2026-08-07T14:21:37.336051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.336051Z digest=sha256:48c7654b160c9d9fd23f74503bce2a5b99274f5e27cf1e2f048d1f6f29f9dd4f

Observation 4c8fa5ec-b6fe-48ef-a566-d4c2fee71210 · outbound

This paper cites What Makes Good In-Context Examples for GPT-$3$?.

The Role of Diversity in In-Context Learning for Large Language Models What Makes Good In-Context Examples for GPT-$3$?

Reference 30

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no resolver link, observed 2026-08-07T14:21:37.398560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.398560Z digest=sha256:b9fa5d75130ae7cea0f3927bdef5e021d02c7893d7f092c5da4a3939e15f9906

Observation 4bd68d47-3e48-4814-b952-a10be5f7c787 · outbound

This paper cites Lost in the middle: How language models use long contexts.

The Role of Diversity in In-Context Learning for Large Language Models Lost in the middle: How language models use long contexts

Reference 31

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no resolver link, observed 2026-08-07T14:21:37.446825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.446825Z digest=sha256:f3ed56d7607a738031dc125ec493db9829110bf2898e10626fcedf94e5d38e3d

Observation e401767f-6d2e-4966-82dc-b9e9234289df · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

The Role of Diversity in In-Context Learning for Large Language Models Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 32

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no resolver link, observed 2026-08-07T14:21:37.503651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.503651Z digest=sha256:74cf2f2941b463958a942ac889689cee724f42867cbe389a5616a40e7db9b159

Observation 0c75ca87-e053-4838-936d-6cea273a981a · outbound

This paper cites Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity.

The Role of Diversity in In-Context Learning for Large Language Models Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:42.384621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:37.543288Z digest=sha256:c8769c286b5b5c9bdf2ab624ddb819911d1da15a605495f2fb0d55a32d006cbb

Observation 2aeb5817-7e52-4d01-8839-944bf54180b0 · outbound

This paper cites Dr.ICL: Demonstration-Retrieved In-context Learning.

The Role of Diversity in In-Context Learning for Large Language Models Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.600669Z digest=sha256:b19f033b27196c65cc006245ea192b71f889fc4df0d39c76242880aa2fc255c3

Observation 2f1357cb-b6fc-4e72-9840-2300db580eaf · outbound

This paper cites In-context Learning with Retrieved Demonstrations for Language Models: A Survey.

The Role of Diversity in In-Context Learning for Large Language Models In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 35

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no resolver link, observed 2026-08-07T14:21:37.677377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.677377Z digest=sha256:fd45f83b6f176058e54ca80f71d03ca245008ba437a2628e98756fd173911f6b

Observation 731bd058-754b-43a6-8b78-cb8d2f6c0667 · outbound

This paper cites Problem-solving logic guided curriculum in-context learning for llms complex reasoning, 2025.

The Role of Diversity in In-Context Learning for Large Language Models Problem-solving logic guided curriculum in-context learning for llms complex reasoning, 2025

Reference 36

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no resolver link, observed 2026-08-07T14:21:37.743370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.743370Z digest=sha256:baff0fdf391d5100d1d05efd25a8ddd2b3871069e2e01e7aa65f1c86d3ff4549

Observation 76797ad1-9872-4793-ae3f-c9ede6d62b7f · outbound

This paper cites Learning word vectors for sentiment analysis.

The Role of Diversity in In-Context Learning for Large Language Models Learning word vectors for sentiment analysis

Reference 37

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source=arxiv_source observed=2026-08-07T14:21:37.751268Z digest=sha256:7f0cf0e37785fc89006871a8854c69e8f5d658c66be611dfecd25132e91783a1

Observation 259d8a72-0495-4ad0-a60a-7a85405dd637 · outbound

This paper cites Hidden factors and hidden topics: understanding rating dimensions with review text.

The Role of Diversity in In-Context Learning for Large Language Models Hidden factors and hidden topics: understanding rating dimensions with review text

Reference 38

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source=arxiv_source observed=2026-08-07T14:21:37.755842Z digest=sha256:cb944c4a4bc1b29c95424c17b37192ef8a5cac8070f6a879bf4ffdd3f53e4287

Observation 53a7bc81-20e3-4e0e-b894-634a59dd1191 · outbound

This paper cites an unresolved cited work.

The Role of Diversity in In-Context Learning for Large Language Models Unresolved cited work

Reference 39

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raw_fallback, observed 2026-08-07T14:21:42.222551Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:37.760012Z digest=sha256:bac3d975bf56e30905c22dead81e3328d2b38da40caa83b30cfea1573948f2ed

Observation cc02f914-2225-4aff-b209-7fbfb19ed0b5 · outbound

This paper cites What in-context learning “learns” in-context: Disentangling task recognition and task learning.

The Role of Diversity in In-Context Learning for Large Language Models What in-context learning “learns” in-context: Disentangling task recognition and task learning

Reference 40

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raw_fallback, observed 2026-08-07T14:21:42.138158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:37.782914Z digest=sha256:72aec1769ab49c5c181fbc08fc269dbd87015d53c56bad9c320f13a82a12dd8a

Observation 933df765-abf7-4878-8b5d-5ca6d773bfc5 · outbound

This paper cites In-Context Learning with Iterative Demonstration Selection.

The Role of Diversity in In-Context Learning for Large Language Models In-Context Learning with Iterative Demonstration Selection

Reference 41

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source=arxiv_source observed=2026-08-07T14:21:37.841214Z digest=sha256:97dc44b59309cc334d81c9eadca6db184ac4bd5ae1fea1677edc23860312f515

Observation d0169b8b-32b7-4e3e-8d73-27c927accd2a · outbound

This paper cites SQ u AD : 100,000+ questions for machine comprehension of text.

The Role of Diversity in In-Context Learning for Large Language Models SQ u AD : 100,000+ questions for machine comprehension of text

Reference 42

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source=arxiv_source observed=2026-08-07T14:21:37.903300Z digest=sha256:bfd1635bbef3415108a11dd08e55a769d34934f9cf30f65b810f2d3298d882d7

Observation 36f35727-a62d-4229-a6ab-ac8ebe0a2839 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

The Role of Diversity in In-Context Learning for Large Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 43

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no resolver link, observed 2026-08-07T14:21:37.950661Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.950661Z digest=sha256:a72e65edf03936621ebd250ba7b5135c617cf3a66b46a4198334d98aeb8f58b2

Observation ed536f03-e2fb-4645-a4e0-a19c4dec7f11 · outbound

This paper cites Learning to retrieve prompts for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Learning to retrieve prompts for in-context learning

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:42.041012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:37.987427Z digest=sha256:a1f685002af97fe5077ef256f94a33f772fbca8f9fed8af954f4df907872c99b

Observation 10dabca5-571d-476a-a28c-dee792d04ee8 · outbound

This paper cites RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning.

The Role of Diversity in In-Context Learning for Large Language Models RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning

Reference 45

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no resolver link, observed 2026-08-07T14:21:38.054990Z

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source=arxiv_source observed=2026-08-07T14:21:38.054990Z digest=sha256:ea5ef7e13ce0d7ee0eece3fff4696b521e82e6ed08fd726557ddb789cd83ce2c

Observation f439bb5d-57fe-4901-8b64-deabccf8daa7 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

The Role of Diversity in In-Context Learning for Large Language Models Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 46

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no resolver link, observed 2026-08-07T14:21:38.107015Z

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source=arxiv_source observed=2026-08-07T14:21:38.107015Z digest=sha256:9699256d2c72a3741d5a5ed97256c0307802c80271a5c833782663680fcb946c

Observation 2109c450-790a-4dc0-b879-1194a1b2b11a · outbound

This paper cites Do pretrained Transformers Learn In-Context by Gradient Descent?.

The Role of Diversity in In-Context Learning for Large Language Models Do pretrained Transformers Learn In-Context by Gradient Descent?

Reference 47

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no resolver link, observed 2026-08-07T14:21:38.144629Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:38.144629Z digest=sha256:cab38d2dcc930a427f3156fd9a2a284b2eee435c3d72fd4a806d31f1c0046451

Observation 82db7266-aa81-4d8a-b597-b04ef7955410 · outbound

This paper cites Diversifying convex transductive experimental design for active learning.

The Role of Diversity in In-Context Learning for Large Language Models Diversifying convex transductive experimental design for active learning

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:41.858416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.217281Z digest=sha256:0ab545e650d51b74313f0f0db25f3893ab6aef3e82fca8ae7742ccec380d05a7

Observation d65bb6da-e9b3-4183-ac36-0c5c052794a9 · outbound

This paper cites Smith, and Tao Yu.

The Role of Diversity in In-Context Learning for Large Language Models Smith, and Tao Yu

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:41.758985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.258726Z digest=sha256:bd32ed989155773c643e11ec2fdab441b180ffb48fb0b665eba172ae01eb83ff

Observation b53dc769-9c29-48d7-aa79-b48176c7b04a · outbound

This paper cites Smith, and Yejin Choi.

The Role of Diversity in In-Context Learning for Large Language Models Smith, and Yejin Choi

Reference 50

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source=arxiv_source observed=2026-08-07T14:21:38.270086Z digest=sha256:8f4e7189ca17a21f42ef7cb73c270c663d4789aaff314e492eebfad90f8bfba4

Observation 869c3f87-2ade-407c-9162-ee323cbc57d3 · outbound

This paper cites Commonsenseqa: A question answering challenge targeting commonsense knowledge.

The Role of Diversity in In-Context Learning for Large Language Models Commonsenseqa: A question answering challenge targeting commonsense knowledge

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:41.630993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.273500Z digest=sha256:2240194ff85163ed07479ef67b6acea83350424ad083570b321751868db8fd4b

Observation 3fdabc35-4a48-4580-bd35-d368b72df9af · outbound

This paper cites Using multiple clause constructors in inductive logic programming for semantic parsing.

The Role of Diversity in In-Context Learning for Large Language Models Using multiple clause constructors in inductive logic programming for semantic parsing

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:41.447947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.277861Z digest=sha256:da791be079b051841e3e7ed2100fa50de25e5fd48ab84d0d0dd5fa37aede824d

Observation 9ada3b25-0b09-4fc1-9b7b-13d2a0a365b2 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

The Role of Diversity in In-Context Learning for Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 53

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no resolver link, observed 2026-08-07T14:21:38.301839Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:38.301839Z digest=sha256:a956b12002f22d27a087c94a88b0bd0f97a7934b00f5fb7ab6daf3728f18dd1c

Observation 67222932-cffb-4f61-9434-089e8c98a01a · outbound

This paper cites Transformers learn in-context by gradient descent.

The Role of Diversity in In-Context Learning for Large Language Models Transformers learn in-context by gradient descent

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:41.280961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.381426Z digest=sha256:b3fd8f35c099991ce8b5cac03d6a6a7caf52f6c90e41e94c59126288fbdfea18

Observation 998052c0-e19d-47ee-994a-aeab003d2d99 · outbound

This paper cites Uncovering mesa-optimization algorithms in Transformers.

The Role of Diversity in In-Context Learning for Large Language Models Uncovering mesa-optimization algorithms in Transformers

Reference 55

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no resolver link, observed 2026-08-07T14:21:38.439808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:38.439808Z digest=sha256:87558ec86ab2fb4ab66c9b25227df509f14f1fd0f1c98a529f2dac74b454c867

Observation 0befb307-ae34-4868-b2b8-7084cb73b25e · outbound

This paper cites Contributing Dimension Structure of Deep Feature for Coreset Selection.

The Role of Diversity in In-Context Learning for Large Language Models Contributing Dimension Structure of Deep Feature for Coreset Selection

Reference 56

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verified exact
local_arxiv, observed 2026-08-07T14:21:39.816172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.586424Z digest=sha256:541bdb514dac3c3c4aed58660ac24cacf3e95058143ba11942f334e14646e4fd

Observation be5edba7-b4a4-4167-90d8-253b7409fde1 · outbound

This paper cites Diversity Measurement and Subset Selection for Instruction Tuning Datasets.

The Role of Diversity in In-Context Learning for Large Language Models Diversity Measurement and Subset Selection for Instruction Tuning Datasets

Reference 57

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no resolver link, observed 2026-08-07T14:21:38.659812Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:38.659812Z digest=sha256:9b4552eeb44f296796cbbe83225510ab15d71b8f83416973e1551eb7efce492e

Observation 561cce07-2d34-4d0b-a6da-8d24671ad1ed · outbound

This paper cites Large language models are implicitly topic models: Explaining and finding good demonstrations for in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Large language models are implicitly topic models: Explaining and finding good demonstrations for in-context learning

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:41.248263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.694746Z digest=sha256:a5fe7f6e95fa44398145594d3083bf9f1651c01d5941ed94b5bdef138d0fff67

Observation c49dabba-4ec1-4428-b127-1210c2bbe75b · outbound

This paper cites Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.

The Role of Diversity in In-Context Learning for Large Language Models Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning

Reference 59

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no resolver link, observed 2026-08-07T14:21:38.755009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:38.755009Z digest=sha256:02f29c32a0208945c237d636751a18c180ee769c481d9d08480799f5d887b3f5

Observation 2269c8a6-5a87-4b35-9474-9d25d459d4d2 · outbound

This paper cites Crowdsourcing multiple choice science questions.

The Role of Diversity in In-Context Learning for Large Language Models Crowdsourcing multiple choice science questions

Reference 60

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no resolver link, observed 2026-08-07T14:21:38.790176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:38.790176Z digest=sha256:9846a607d3ca7ff3ba54c823ffbec0f8c13f804948f22b4e5008f3bba62eb1f4

Observation 6757ccb6-455c-4e95-a891-9d18ec526ab9 · outbound

This paper cites The learnability of in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models The learnability of in-context learning

Reference 61

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no resolver link, observed 2026-08-07T14:21:38.799311Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:38.799311Z digest=sha256:d8e986e39b98a4799a594402fd6f9c8c542302955f078c26358e5e8a9e1d642b

Observation c9cf2d09-282c-4f89-92f6-b28f33977bce · outbound

This paper cites Self-adaptive in-context learning: An information compression perspective for in-context example selection and ordering.

The Role of Diversity in In-Context Learning for Large Language Models Self-adaptive in-context learning: An information compression perspective for in-context example selection and ordering

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:41.096528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.803996Z digest=sha256:bd71a4ab19967774c4c790a1b66b294097eb9fbf339a2441e2ce646a464c4802

Observation 2bb3c6e0-f971-405e-a11e-22101ea4bd6a · outbound

This paper cites An explanation of in-context learning as implicit bayesian inference.

The Role of Diversity in In-Context Learning for Large Language Models An explanation of in-context learning as implicit bayesian inference

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:40.962002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.828201Z digest=sha256:d5ea93b7f471f4048197b3c4cc31ec5af1739ec31a1a40998832b186bf568da3

Observation af16b353-f9b0-49b6-847c-a6ed7d33b486 · outbound

This paper cites Representative demonstration selection for in-context learning with two-stage determinantal point process.

The Role of Diversity in In-Context Learning for Large Language Models Representative demonstration selection for in-context learning with two-stage determinantal point process

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:40.875365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.885439Z digest=sha256:8043c789f460195a1989223aed0f9c11cf6b603ce78511e6718c00a78c68f92d

Observation 28bc02ca-1ff1-480e-83c7-0f278701ddc0 · outbound

This paper cites An empirical study of GPT-3 for few-shot knowledge-based VQA.

The Role of Diversity in In-Context Learning for Large Language Models An empirical study of GPT-3 for few-shot knowledge-based VQA

Reference 65

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malformed identifier
no resolver link, observed 2026-08-07T14:21:38.922780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:38.922780Z digest=sha256:9286938403b325b87ac38fa8a039b2b1da0dd1533849c582dbb27aa8b24293ab

Observation 90b8b3af-b761-4bb4-91e6-c538ca2d1e29 · outbound

This paper cites Complementary explanations for effective in-context learning.

The Role of Diversity in In-Context Learning for Large Language Models Complementary explanations for effective in-context learning

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:40.781182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:38.968569Z digest=sha256:d79ed52a38fa590a33112bc3240150ab00dd92b769337d6fbe0b064bfee54f0c

Observation f54702de-00da-4a1d-a1ae-f9980bc4a2ab · outbound

This paper cites Ground-truth labels matter: A deeper look into input-label demonstrations.

The Role of Diversity in In-Context Learning for Large Language Models Ground-truth labels matter: A deeper look into input-label demonstrations

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:40.610923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:39.015067Z digest=sha256:b2a3489eec5de7fbc7346d50a01769c237f26446b7c9a431ec89cb0b685bbd5c

Observation 0c695d21-ecf3-4cc7-b7da-5f8747c50658 · outbound

This paper cites SKILL-MIX: a flexible and expandable family of evaluations for AI models.

The Role of Diversity in In-Context Learning for Large Language Models SKILL-MIX: a flexible and expandable family of evaluations for AI models

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-07T14:21:40.475825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:39.075511Z digest=sha256:0f1458c4d8f6094f60dde03a34f799fe5e60b574802139cf48df0c78bf731ae3

Observation 05a09c60-bc33-4ab9-830d-015c686df96a · outbound

This paper cites Enhancing sample selection against label noise by cutting mislabeled easy examples, 2025.

The Role of Diversity in In-Context Learning for Large Language Models Enhancing sample selection against label noise by cutting mislabeled easy examples, 2025

Reference 69

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unresolved
no resolver link, observed 2026-08-07T14:21:39.149809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:39.149809Z digest=sha256:e59722b544cf63d90f8462de70c084ef6802d54087c7fb9d8ee62c8c28bbc51a

Observation 7b4daca2-b0b6-4890-a363-80900a451023 · outbound

This paper cites Learning to parse database queries using inductive logic programming.

The Role of Diversity in In-Context Learning for Large Language Models Learning to parse database queries using inductive logic programming

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:39.237308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:39.237308Z digest=sha256:31c1515f3485e6a3f6cd620cdbe20a65982380c52ca4189f66c43d14452220b4

Observation 2917b736-4708-4d6c-a94e-839588e3bc20 · outbound

This paper cites Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning.

The Role of Diversity in In-Context Learning for Large Language Models Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

Reference 71

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no resolver link, observed 2026-08-07T14:21:39.299158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:39.299158Z digest=sha256:f25b30eccfea37ced293ebf851823a885b94b2625edbe6b74ed7f32936e5a5ea

Observation 5a69ec50-a640-411c-8e54-ebb884022fea · outbound

This paper cites MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning.

The Role of Diversity in In-Context Learning for Large Language Models MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:21:39.586400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:21:39.308244Z digest=sha256:a0fe9e73fb59dd42f8c45120e9c8c1ea1dc608c69e1ea247462501854f713a32

Observation 9ae05b38-8593-4134-aaaa-a950fe7cdccb · outbound

This paper cites What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization.

The Role of Diversity in In-Context Learning for Large Language Models What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization

Reference 73

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no resolver link, observed 2026-08-07T14:21:39.312528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:39.312528Z digest=sha256:5002896e85423d02970cb0110209c986fa22327a59b984deff39ccba634cd22d

Observation 3a897d78-02ba-4a04-a9be-fd83a0f8dcae · outbound

This paper cites Automatic chain of thought prompting in large language models.

The Role of Diversity in In-Context Learning for Large Language Models Automatic chain of thought prompting in large language models

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:21:40.432977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 83c49586-ceba-41e6-af22-af2694d820cb · outbound

This paper cites Can models learn skill composition from examples? Advances in Neural Information Processing Systems, 37: 0 102393--102427, 2025.

The Role of Diversity in In-Context Learning for Large Language Models Can models learn skill composition from examples? Advances in Neural Information Processing Systems, 37: 0 102393--102427, 2025

Reference 75

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ed9e2187-33b8-4016-851c-9826fcf9e1f0 · outbound

This paper cites Calibrate before use: Improving few-shot performance of language models.

The Role of Diversity in In-Context Learning for Large Language Models Calibrate before use: Improving few-shot performance of language models

Reference 76

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verified fuzzy
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Pith citing papers

Observation d2a6a47d-fe6d-4b70-8c9c-4ed003c6227a · inbound

Learning to Select Visual In-Context Demonstrations cites this paper.

Learning to Select Visual In-Context Demonstrations The Role of Diversity in In-Context Learning for Large Language Models

Reference 43

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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