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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:25.349270Z

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

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

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

Resolution
metadata mismatch
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:2c6bd9a933caa5c0613875d7c64a92a6b462e3c601cda676d11d78a0926ae7e9

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:035e1c724e674e135ab3b5dc8d73c40e3dfedb1e9a9917897ecdd827220a8d80

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:cd396443dbe62d076694f1da4d96edd8095704ac18b300ec0c1096be66586066

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

Resolution
unresolved
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

Resolution
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

Resolution
unresolved
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:d528a21cf4c03997abd3663b6d6845a7a2befc7327d5e50ab7f54eb732a82213

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T21:20:22.146417Z digest=sha256:08da6d8993759be4c9c62ca6f9be6a0cf84dcaf645112ad2e5f394abf87d6247

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

Resolution
unresolved
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

Resolution
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:f5480f5a745199fa17e399171ba1745f3eb189b03467c3601ea2bf7076af635d

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

Resolution
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=sha256:57288dc8f4f457f4a93668d66194db65fef756a584d2470c59f730041831b07a

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

Resolution
unresolved
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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T16:30:36.771589Z digest=sha256:469a2884d411d7ef3ce87ebb32164ec8b8e3de7b11d78a7c535362bc49efd6b9

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

Resolution
metadata mismatch
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T08:31:14.231710Z digest=sha256:a1663af5fe81952c9f45914b390bbbace337a3653684f7728842fe1438529f04

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

Resolution
metadata mismatch
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T07:32:58.404947Z digest=sha256:1ac5a6725a7d363c4e9a61b42534b98fe9bcb6d52a616e35908711238b3ff42b

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T04:20:27.456558Z digest=sha256:0739d4088aec7e8ea4be34a95f96b338c93b4b23b27846b2f23825abdd87499f

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

Resolution
metadata mismatch
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:28:11.440915Z digest=sha256:ce0c2ebe7058aa204ddbacd754553131da379b9b65133fa546cb6df9941f4276

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T08:07:59.710459Z digest=sha256:0da3e31e0a91b7efc56395fe426dbfe893edd92eaf1781fda8eae221837eaa6a