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Paper Citation Record · LEDGER

Learning to Select In-Context Demonstration Preferred by Large Language Model

As of 15 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2505.19966.

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

pith.paper-citation-record.v1
2505.19966 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:27.296661Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:46:09.292199Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved54
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78c8b99b-b7a4-4c72-a175-5a1d59d6a1f1 · outbound

This paper cites URL: " 'urlintro :=.

Learning to Select In-Context Demonstration Preferred by Large Language Model URL: " 'urlintro :=

Reference 1

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unresolved
no resolver link, observed 2026-08-07T14:09:20.574595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:20.574595Z digest=sha256:8b67e5d51a28a07686aa49b711262958bc793d7b858c23d7c696568e374baf5c

Observation ca78f2a7-a756-4a93-a573-b98e8843b507 · outbound

This paper cites write newline.

Learning to Select In-Context Demonstration Preferred by Large Language Model write newline

Reference 2

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no resolver link, observed 2026-08-07T14:09:20.668175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:20.668175Z digest=sha256:e58250ecb419dd90ff6be1edc5d68a57a2db8cd85d6989ee5908059237f15f26

Observation 27d37d10-f175-4cc4-8b81-a01f2049e5b3 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-07T14:09:29.592344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:09:20.775526Z digest=sha256:3d7656ffe2ef299812e2840d25b5a77056698e26fdeae43bb2dfa1b46dad54f9

Observation dbba95f6-cec3-49cc-88b9-5e7252c68659 · outbound

This paper cites A large annotated corpus for learning natural language inference.

Learning to Select In-Context Demonstration Preferred by Large Language Model A large annotated corpus for learning natural language inference

Reference 4

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unresolved
no resolver link, observed 2026-08-07T14:09:20.894153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:20.894153Z digest=sha256:f26a84eb6b4b65309a4fa37785741c606737d1069d4c51bcb5bb02d1fcdd11de

Observation a99b2ea9-3e51-4511-bb74-be088985ab2b · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 5

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unresolved
no resolver link, observed 2026-08-07T14:09:21.025210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:21.025210Z digest=sha256:3b0fab61c63704945e119d41686bac485dfd9dddda84c00c5f269d2bef85a0a7

Observation 41de8ada-3d29-4b97-a563-ca0d814949cf · outbound

This paper cites On the Relation between Sensitivity and Accuracy in In-context Learning.

Learning to Select In-Context Demonstration Preferred by Large Language Model On the Relation between Sensitivity and Accuracy in In-context Learning

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:09:28.654206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:09:21.205716Z digest=sha256:17a29b65443fe4f6572d13e1ebe9c1ebafc7165830aaff5ef33afb05d965b023

Observation d55acb5e-5f9c-4b40-a1ae-6ffc12094786 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:09:29.363785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:09:21.306690Z digest=sha256:9d2c4f95436dd8424165f9f6b2f52a608c88d2bc965ab42d68d979a915462b53

Observation a8d708c7-942b-40ee-ae3e-c18ab61dfaf4 · outbound

This paper cites UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.

Learning to Select In-Context Demonstration Preferred by Large Language Model UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Reference 8

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unresolved
no resolver link, observed 2026-08-07T14:09:21.384318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:21.384318Z digest=sha256:b99a52fe3c735f3985ca2a7c2e45a89fa95ec6cf43e0d777452f0b6b4e804350

Observation 72877efe-0621-4829-91c6-769b8413ac44 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:21.445632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:21.445632Z digest=sha256:ec1db18d6b76a4a4d9e50a9736eb7be4fceb36d56bae7aea1ad83b7557cc48cc

Observation 1bb622c0-c5e7-49cc-99a2-1b5f8cce1e3f · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Learning to Select In-Context Demonstration Preferred by Large Language Model BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 10

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unresolved
no resolver link, observed 2026-08-07T14:09:21.562416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:21.562416Z digest=sha256:dafbd24ce6ee6a5b6ce5e2f751e975dddfd6b5a5bd7d0e8d2e9e044cac8cb0ee

Observation 9e64f521-5292-4387-9ee3-90b9574fa3b1 · outbound

This paper cites Semantic Noise Matters for Neural Natural Language Generation.

Learning to Select In-Context Demonstration Preferred by Large Language Model Semantic Noise Matters for Neural Natural Language Generation

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:09:28.378020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:09:21.692209Z digest=sha256:8bb8dc7095115377811083d578b81b7a935ebc29c6fbfdf5473b01cb34271d2a

Observation a8c71a3f-bc37-4eba-8b54-4b8b9bdc39a1 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Learning to Select In-Context Demonstration Preferred by Large Language Model KTO: Model Alignment as Prospect Theoretic Optimization

Reference 12

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no resolver link, observed 2026-08-07T14:09:21.768472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:21.768472Z digest=sha256:d60bf45965e20abe27ebcd85498f8a9bf47c9178dca95fde9a6a3fa8f3ae0896

Observation 6e8b6e07-5c42-4bfa-8c06-5fccdadbcc46 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 13

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unresolved
no resolver link, observed 2026-08-07T14:09:21.909769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:21.909769Z digest=sha256:5d984f3b96f6e737ff2754050511efbc4406279fcf2a40a65ad577e38a167a0b

Observation d26dc39d-3654-4312-bae4-331c4f36c9e3 · outbound

This paper cites The Llama 3 Herd of Models.

Learning to Select In-Context Demonstration Preferred by Large Language Model The Llama 3 Herd of Models

Reference 14

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unresolved
no resolver link, observed 2026-08-07T14:09:22.012219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:22.012219Z digest=sha256:40581103562ce51fb951a15698dc4a5c3a2fd86dcaec2e2574b16a5d473e8411

Observation 2120d7eb-4477-465d-8dea-891dc5dd9fb2 · outbound

This paper cites Teaching Large Language Models to Reason with Reinforcement Learning.

Learning to Select In-Context Demonstration Preferred by Large Language Model Teaching Large Language Models to Reason with Reinforcement Learning

Reference 15

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unresolved
no resolver link, observed 2026-08-07T14:09:22.127164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:22.127164Z digest=sha256:ed1e9610c2fd8af8f189e9d054ec09c835782a25ba99d0bbb2bd9033a1def307

Observation d5377331-b256-4b5f-bbf4-f3b5db246640 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Learning to Select In-Context Demonstration Preferred by Large Language Model LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

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unresolved
no resolver link, observed 2026-08-07T14:09:22.246811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:22.246811Z digest=sha256:45b52fa0964e711dc872e84f6e8d1a5a2ea4d975f6e88f86bc1e9c4c503b4a73

Observation e046ef8a-d9b8-4078-b496-336bd7456ff0 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 17

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unresolved
no resolver link, observed 2026-08-07T14:09:22.363321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:22.363321Z digest=sha256:41064a27c3d7b47920c283ecc4ee84d6fdd6e666a41a498ce2d68f801d061fac

Observation 726df3e4-f8a9-4c3f-a798-76a7b1b47065 · outbound

This paper cites Auto-Encoding Variational Bayes.

Learning to Select In-Context Demonstration Preferred by Large Language Model Auto-Encoding Variational Bayes

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:22.487007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:22.487007Z digest=sha256:0780ac3a8d843b6b976d1b44ad3d97a7f872ad68be026d25cd4f893d573080c5

Observation eaa5601a-2cb6-45ac-86bc-112c3d84b89b · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 19

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unresolved
no resolver link, observed 2026-08-07T14:09:22.594633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:22.594633Z digest=sha256:ac3e06a59b4c3efd38a1204f753ff03f875705ee64728aaa0d20546b323729a2

Observation e5d8e384-65f2-4f89-abcc-aa469dc04ec3 · outbound

This paper cites Boosting Deductive Reasoning with Step Signals In RLHF.

Learning to Select In-Context Demonstration Preferred by Large Language Model Boosting Deductive Reasoning with Step Signals In RLHF

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:09:28.082962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:09:22.699095Z digest=sha256:1abce6e34da6ab466f634efbb9332160db513ab7110563852a1cfd4a84ae55df

Observation b0370e1e-9300-478a-9020-4594693dc4ba · outbound

This paper cites Unified Demonstration Retriever for In-Context Learning.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unified Demonstration Retriever for In-Context Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:22.783583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:22.783583Z digest=sha256:d5861799ff32f83a6481cf8a9d2ae152af447a0fdec3969fb675d8f31eea969d

Observation dfb192dd-142c-4bdb-a1b7-bf5a0d1e4bcd · outbound

This paper cites MoT: Memory-of-Thought Enables ChatGPT to Self-Improve.

Learning to Select In-Context Demonstration Preferred by Large Language Model MoT: Memory-of-Thought Enables ChatGPT to Self-Improve

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:22.897893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:22.897893Z digest=sha256:dcd1cc72d4d8912d02e0f7f6f2dfe70ed47e844c14cfe0d030081d00a4bdfbdb

Observation 90e7a69b-c29d-4437-a1d3-25f249c3f4c6 · outbound

This paper cites CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning.

Learning to Select In-Context Demonstration Preferred by Large Language Model CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:09:27.838104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:09:23.025954Z digest=sha256:03c5bc88a0e59bbfe9e2521f546f15577cf5ee9f6b0e4e82f097381e3dacc628

Observation f9e33d42-f181-423d-81a2-4c4183d8f3a8 · outbound

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

Learning to Select In-Context Demonstration Preferred by Large Language Model What Makes Good In-Context Examples for GPT-$3$?

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:23.146956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.146956Z digest=sha256:e6b70820cf55ee6193546f4dba9e26bce8b18d2ff4a51afacbf46af9b0de3a7a

Observation 7e561273-5a95-4a06-87df-3c3fa1be8820 · outbound

This paper cites DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task.

Learning to Select In-Context Demonstration Preferred by Large Language Model DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:23.234345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.234345Z digest=sha256:a871766b9fa8fa9160ae6a534399043bab88c3622721bf1df6ce17584b59936a

Observation 0e68473c-9269-4f8e-aed7-b43a9b6d44e6 · outbound

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

Learning to Select In-Context Demonstration Preferred by Large Language Model Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:23.327777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.327777Z digest=sha256:c86863ce1228aee323cec752d804cd41ebaf9bed7af67ce942a3f9fb615d41c3

Observation 5f3cf07b-2661-4ef7-8945-e8ff561249e3 · outbound

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

Learning to Select In-Context Demonstration Preferred by Large Language Model Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 27

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unresolved
no resolver link, observed 2026-08-07T14:09:23.431355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.431355Z digest=sha256:646b214a747aca396aaf2bbd8e4c48bf0c7759195b15701d75551a0fd5251c7e

Observation 85add166-0400-4be8-86e4-bb6eb4f765b2 · outbound

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

Learning to Select In-Context Demonstration Preferred by Large Language Model In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:23.496076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.496076Z digest=sha256:b74669881348b48f130fc8573c935fea08fa7bf8b0bd18b78144040c183c8f84

Observation fa958dd4-63b1-474a-8ded-5374cac9d2db · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Learning to Select In-Context Demonstration Preferred by Large Language Model Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:23.579459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.579459Z digest=sha256:3c1b7ad8f42ca8ff98f504fcfc27549b6dccc866683ea51b4fe218e8655560d5

Observation d8f45002-9f56-4e4d-9f6c-57f62423bdc6 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:23.714666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.714666Z digest=sha256:26858a7814251c18e7842df5f0f7a9dfaf83847503afbc9615cb2c35425584b6

Observation 5031e22c-52fe-43ae-b151-373901c8ba1d · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Learning to Select In-Context Demonstration Preferred by Large Language Model Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 31

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unresolved
no resolver link, observed 2026-08-07T14:09:23.836890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.836890Z digest=sha256:e40046a12b364fe1f88db3184ae3d9a006bb1ed402e557752ed2568b4699bc01

Observation 2236bddc-0e7c-4b6c-9946-c0285c20951b · outbound

This paper cites DART: Open-Domain Structured Data Record to Text Generation.

Learning to Select In-Context Demonstration Preferred by Large Language Model DART: Open-Domain Structured Data Record to Text Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:23.940183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.940183Z digest=sha256:64535ed1dde3da820376371ef14ff5abc5bf936fd5f4ecacfc87f66fd116028f

Observation 517ebfb7-9745-4597-9146-ee2c5c507a74 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:09:29.135040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:09:24.084717Z digest=sha256:5aec659fd23582bc5e581adae7978c045689a2c644aa84924b581cd649517178

Observation e64ca153-54c4-4a79-ad32-601692040da2 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 34

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unresolved
no resolver link, observed 2026-08-07T14:09:24.199615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:24.199615Z digest=sha256:130cd4b424cae1ece14912eae8c5632c7e369167c04f9d01b93f46c7481fd4ce

Observation 7567cb39-acc5-4373-8ff7-7c04f43b7cf9 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-07T14:09:24.318361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:24.318361Z digest=sha256:1d6a223f7272dd03128194e7bbf4b41f758497b7e33ccf2f2971b8abb430c679

Observation c6947ef4-01df-40d0-ae93-f1a75c504d78 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Learning to Select In-Context Demonstration Preferred by Large Language Model SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 36

Resolution
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no resolver link, observed 2026-08-07T14:09:24.434959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:24.434959Z digest=sha256:c0c6aae376a27493abaa53e7253f25fbed94d035a378249f9c73e75b0bd715ae

Observation 49badebe-18a5-4700-af8f-44345877bc04 · outbound

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

Learning to Select In-Context Demonstration Preferred by Large Language Model Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 37

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unresolved
no resolver link, observed 2026-08-07T14:09:24.537783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:24.537783Z digest=sha256:e6f7c55172b40ebd81ea55c6f4931e955993735dfd64de3117513860df8af6eb

Observation 148704d8-84c9-48b4-9409-76bbe6348a67 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-07T14:09:24.664450Z

Source-reported events for the cited work

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Observation 2261e208-8ea9-4d2d-86c9-6ac973198462 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 39

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Observation 6497cf4c-a99d-47f7-9e88-f15eea434867 · outbound

This paper cites Learning To Retrieve Prompts for In-Context Learning.

Learning to Select In-Context Demonstration Preferred by Large Language Model Learning To Retrieve Prompts for In-Context Learning

Reference 40

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Observation a718bf48-0838-4dbf-bf68-56ce61e849ca · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 41

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Observation a6834306-a003-4824-92bb-7c4c82b61c60 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning to Select In-Context Demonstration Preferred by Large Language Model Proximal Policy Optimization Algorithms

Reference 42

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Observation e2ff07e2-96ee-448d-8521-71199ad83dc1 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 43

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Observation 37b90af2-f209-49cd-9030-60616c53a519 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Learning to Select In-Context Demonstration Preferred by Large Language Model LLaMA: Open and Efficient Foundation Language Models

Reference 44

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Observation 9ebd1f21-2954-48b6-b8b6-b79647f91071 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Learning to Select In-Context Demonstration Preferred by Large Language Model GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 45

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Observation 27ef03e4-93d1-4e4f-9677-b9e60a755b86 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Learning to Select In-Context Demonstration Preferred by Large Language Model Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 46

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Observation 8aff6443-3eff-4603-97b3-1de7d1d49158 · outbound

This paper cites Learning to Retrieve In-Context Examples for Large Language Models.

Learning to Select In-Context Demonstration Preferred by Large Language Model Learning to Retrieve In-Context Examples for Large Language Models

Reference 47

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Observation 37b5cd25-7488-41e2-8277-9f141a931f5d · outbound

This paper cites Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process.

Learning to Select In-Context Demonstration Preferred by Large Language Model Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process

Reference 48

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source=arxiv_source observed=2026-08-07T14:09:25.930063Z digest=sha256:a6871e625f808bf90719f25236d14d5edff55ed55be9166f95583645c964acbb

Observation bdda3358-72c7-4971-8147-68e483257a35 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 49

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 16eba658-e2ac-40f1-8ade-62cd0af14901 · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

Learning to Select In-Context Demonstration Preferred by Large Language Model An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 50

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source=arxiv_source observed=2026-08-07T14:09:26.217718Z digest=sha256:34c3c6c07fe509b101f6c5facbc27475a75f6b045f64312b39bc8ebd29bdcdd4

Observation 80712558-6c3d-4202-a1d3-d87f45384c48 · outbound

This paper cites Qwen2.5 Technical Report.

Learning to Select In-Context Demonstration Preferred by Large Language Model Qwen2.5 Technical Report

Reference 51

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source=arxiv_source observed=2026-08-07T14:09:26.356152Z digest=sha256:78ec4587a2d984ceb25f4526bdca80dc38f6d4844f1fe0ddff0091af08776982

Observation 5813ac62-c5dc-4d4d-8d08-c9c2054d5b25 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 52

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source=arxiv_source observed=2026-08-07T14:09:26.552478Z digest=sha256:5442c89c7e0e9317923c6ac8bf57d1640e11b290d607196145ef2769833dac1b

Observation 9c6a7fbf-de54-46f5-9d65-4aa11f746274 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Learning to Select In-Context Demonstration Preferred by Large Language Model HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 53

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source=arxiv_source observed=2026-08-07T14:09:26.714552Z digest=sha256:34119c09477b990f5733fe50c88c797e5e823bb6abf8d3092e3960549da1c3d0

Observation f748c486-b286-40f1-b5cb-20b461731394 · outbound

This paper cites This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation.

Learning to Select In-Context Demonstration Preferred by Large Language Model This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation

Reference 54

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source=arxiv_source observed=2026-08-07T14:09:26.839564Z digest=sha256:aa4014fc4e2a775bb1908f3390b765f695050cc47db740671fb854ff3d60dab1

Observation 2d7f3d74-6055-4da9-83c4-0aae8c974c72 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-08-07T14:09:26.959323Z digest=sha256:a8a22c24dc418900cc45cc3468a39cade0228267f3cee70b80f334dd4fc75385

Observation 30419b07-6262-4b5e-9d82-386e7f3d6df8 · outbound

This paper cites PAWS: Paraphrase Adversaries from Word Scrambling.

Learning to Select In-Context Demonstration Preferred by Large Language Model PAWS: Paraphrase Adversaries from Word Scrambling

Reference 56

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no resolver link, observed 2026-08-07T14:09:27.087802Z

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Observation f33accec-5fa4-45a3-9aaa-109c38a29206 · outbound

This paper cites an unresolved cited work.

Learning to Select In-Context Demonstration Preferred by Large Language Model Unresolved cited work

Reference 57

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source=arxiv_source observed=2026-08-07T14:09:27.197391Z digest=sha256:68f5eb2370134010563ba54e164c5d2084328729bbd4f8cbf3577f7106595edb

Observation 69661e12-7f8f-4d8f-9247-140568d34423 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Learning to Select In-Context Demonstration Preferred by Large Language Model Fine-Tuning Language Models from Human Preferences

Reference 58

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source=arxiv_source observed=2026-08-07T14:09:27.296661Z digest=sha256:d992b7540e279c9ffc808c4f84e073732a3816a77fc7ccc75977b3fd26e1080f

Pith citing papers

Observation d5cf3499-e87c-4501-a518-380c5bbbf109 · inbound

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

Learning to Select Visual In-Context Demonstrations Learning to Select In-Context Demonstration Preferred by Large Language Model

Reference 56

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