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Paper Citation Record · LEDGER

In-Context Learning with Long-Context Models: An In-Depth Exploration

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2405.00200.

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

pith.paper-citation-record.v1
2405.00200 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:31:49.563990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:17:48.381748Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 546bfbad-7e42-4abe-b378-39e7f4c5320d · inbound

RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.

RULER: What's the Real Context Size of Your Long-Context Language Models? In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 5

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arxiv_id, observed 2026-05-11T03:55:20.476582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:ac2a0416e12c8e88040b80365adcbeafb6712d2cce6f4930fc79c36837cb2626

Observation e4c3d786-4a8c-47c1-9f39-28178d522272 · inbound

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques cites this paper.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 4

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verified exact
arxiv_id, observed 2026-05-15T02:16:17.927285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:b13f6cfdc2285fc10372d20c0966cd9ac39d23d9e190e730bc9ef4730987cde5

Observation 3a007bfd-7256-4486-ab79-eb050dbce2d6 · inbound

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation cites this paper.

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 5

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no resolver link, observed 2026-08-09T19:31:49.563990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:31:49.563990Z digest=sha256:ebd77ce6fcf1f45b6e37c9d88450148d17c6793c062ac8b4696ae12f5a440195

Observation be9de912-f5da-4877-bde1-69fb5363c533 · inbound

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification cites this paper.

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 2011

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unresolved
no resolver link, observed 2026-08-08T17:27:59.634751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:27:59.634751Z digest=sha256:18f130d181fd8237268c5b813fe5804c1259172bdde8b2e33fef0b964ed153e8

Observation 76b41906-bd30-4233-a278-aaabd243803d · inbound

Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection cites this paper.

Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 6

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no resolver link, observed 2026-08-08T15:21:49.508290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:21:49.508290Z digest=sha256:2a8e3b4f5b0f6ecd53f6b5a42a10e5f2fba339d745ba99f82f8b9d92df14a0a2

Observation 5275f3a5-7e67-4f71-a5c5-1327ad322fb0 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:09.498310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:51aef52b8bdba6f175a473b663b6ef0bc66323b5e4f79ae932851aabcf045ff0

Observation 27a70b40-34e8-4690-9982-4c7a6ca5290b · inbound

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning cites this paper.

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 4

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no resolver link, observed 2026-08-07T15:09:42.428377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:42.428377Z digest=sha256:a310c6e1e6ccafc1854677b62b870210ad0e472f528399c966048b430aa4ca92

Observation 74436313-c209-4d5f-80ea-8c01ac2c68fc · inbound

Efficient Multi-modal Long Context Learning for Training-free Adaptation cites this paper.

Efficient Multi-modal Long Context Learning for Training-free Adaptation In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 4

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no resolver link, observed 2026-08-07T14:11:32.503441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:11:32.503441Z digest=sha256:d34c3b6cbf669d63a549ffafcbf201cad26110cdaadc062dd5717f165fa3ae24

Observation 63ffba2c-47ae-4b84-b451-cb57d72f734b · inbound

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective cites this paper.

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 9

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no resolver link, observed 2026-08-07T14:13:04.222611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:13:04.222611Z digest=sha256:b3993b2c530a00a352a9bef0b7b627357ea4115b5a63dc34e2704b374b49e504

Observation d49d49a6-a0b7-425e-aeb7-2194f8c2a17c · inbound

Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching cites this paper.

Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 4

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no resolver link, observed 2026-08-07T10:45:25.349270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:45:25.349270Z digest=sha256:84a6158539e1f5bd6a343a35cff80938fe1b46255f4585f0c836ed063bc9547c

Observation 54a36057-f685-4b86-82eb-a07709cbee92 · inbound

Refract ICL: Rethinking Example Selection in the Era of Million-Token Models cites this paper.

Refract ICL: Rethinking Example Selection in the Era of Million-Token Models In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 4

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unresolved
no resolver link, observed 2026-08-07T00:56:50.452519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:56:50.452519Z digest=sha256:2fe6e8e9a72fbdbd6f9c00d1e3a38fd30c18d9312c02d873e943bdcfb758c92a

Observation 66582e16-003e-4f9d-8995-1e5869a59789 · inbound

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework cites this paper.

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 7

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no resolver link, observed 2026-08-06T19:45:12.421467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:12.421467Z digest=sha256:3092171533dc3dd95cb43959e4b02e2223d861e2a3d670df731a6134148e83fb

Observation d5ae7802-9f98-400b-a858-064d5b4d9c34 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-16T21:20:22.217892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T21:20:22.146417Z digest=sha256:e1c44966b0c266c79f18b15e4a8feb30632f77bf51408b0b231b619ee3595b95

Observation 33f45e41-dc6b-4303-a592-d5d6231719a8 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 2024

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no resolver link, observed 2026-08-06T19:36:05.677060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:05.677060Z digest=sha256:2d54502368eff539c70bde8411b6c030364d974e6d65dcac26430bec5b05eae7

Observation a0690f3c-fc62-44f1-98bf-b66788433500 · inbound

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis cites this paper.

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 88

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unresolved
no resolver link, observed 2026-08-06T19:21:13.578518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:13.578518Z digest=sha256:2c3fb68d7b84a44c238c4fb6fe18f62b0bf612cec77b87ba726fa9f6373d110a

Observation 7bbeede1-aceb-4780-bf81-11f250e6d22c · inbound

Towards Compute-Optimal Many-Shot In-Context Learning cites this paper.

Towards Compute-Optimal Many-Shot In-Context Learning In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 5

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unresolved
no resolver link, observed 2026-08-06T15:20:38.350555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:38.350555Z digest=sha256:5f77b9540aa259263994b43122603d2d24a634051691da2c9ea0ba63abffcafe

Observation d1c59823-d2dd-44c4-9de9-a568ac59d05b · inbound

An Auditable Agent Platform For Automated Molecular Optimisation cites this paper.

An Auditable Agent Platform For Automated Molecular Optimisation In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 18

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no resolver link, observed 2026-08-06T04:32:27.701787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:32:27.701787Z digest=sha256:b19090514e668b860b8a5013d82eda6561757da8d5dac8b57195fdd1ddbcfc33

Observation 49de8f62-e9b1-4489-b618-ad4ff82427a1 · inbound

Learning to Adapt: In-Context Learning Beyond Stationarity cites this paper.

Learning to Adapt: In-Context Learning Beyond Stationarity In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 7

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metadata mismatch
arxiv_id, observed 2026-05-11T08:45:59.381222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T16:30:36.771589Z digest=sha256:ede11c7b0a593e7eafa0c4059a0a87da8cca2fd9da7ec058a553bdf2ed6fda71

Observation 9bc80516-9547-43dd-90c3-1c23cabfa2c5 · inbound

When Context Sticks: Studying Interference in In-Context Learning cites this paper.

When Context Sticks: Studying Interference in In-Context Learning In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 5

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arxiv_id, observed 2026-05-11T20:36:09.444133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T08:31:14.231710Z digest=sha256:db2a40c2f9a2ebe2394258b98da776632396bf6c849a832ad876ff96e20e9f3c

Observation 67240abf-fa2e-4ba2-ae38-52d51a44508a · inbound

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization cites this paper.

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 55

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arxiv_id, observed 2026-05-13T07:37:29.901629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T07:32:58.404947Z digest=sha256:9a5014aee54bf5c0b5656ac83c0c391ab49b9b5cb031cf8deb51f23db7d16d18

Observation d454f231-9b2c-469d-bf08-46cbcbb96cf9 · inbound

When Youth Enter the Algorithmic Wild: Discovering and Understanding Potentially Harmful Teen Videos on Douyin and Kwai cites this paper.

When Youth Enter the Algorithmic Wild: Discovering and Understanding Potentially Harmful Teen Videos on Douyin and Kwai In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 8

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verified exact
arxiv_id, observed 2026-05-25T04:25:19.811601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T04:20:27.456558Z digest=sha256:271efe35dfa9c90c6a20ed0b67a010df06f88e45daf7780f5d449c1019869c18

Observation 5c9c2b7c-f035-4dd2-bde8-be3c522af2b3 · inbound

Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning cites this paper.

Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 201

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arxiv_id, observed 2026-07-03T09:17:48.383799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T10:28:11.440915Z digest=sha256:4ededb9379c6986ff72613e03527fdfc6ab6f757b7063a070cc75ba17fafd3d9

Observation 5caad828-d9fa-44fe-8301-056a7f08fab0 · inbound

Knowing in Advance When an Evolutionary Outer Loop Will Not Help: A Pre-Registered Cheap-Baseline Screening Rule cites this paper.

Knowing in Advance When an Evolutionary Outer Loop Will Not Help: A Pre-Registered Cheap-Baseline Screening Rule In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 3

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verified exact
arxiv_id, observed 2026-06-30T08:14:25.687857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T08:07:59.710459Z digest=sha256:84109eb3aa1cf5c8a8668a6a866395a9da12e1505e59e63efe294e5e1a1fb26f