Paper Citation Record · LEDGER

Many-Shot In-Context Learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2404.11018.

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

pith.paper-citation-record.v1
2404.11018 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:22:50.712218Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 91fcfe3a-e6c9-4c4c-9a5e-c440418add1e · 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? Many-Shot In-Context Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.460412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0fe2e09-575a-4eed-96a8-67cfecb59668 · inbound

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

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Many-Shot In-Context Learning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:16:17.900786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9bd087a9-6480-4184-ab5d-b9181a858396 · inbound

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks cites this paper.

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks Many-Shot In-Context Learning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:38:00.357547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50cf01a6-9e88-4c4c-881d-8a4e96c92be7 · inbound

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression cites this paper.

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression Many-Shot In-Context Learning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:17:31.157855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2de5a514-6e0c-4836-840b-4f516ef72eeb · inbound

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding cites this paper.

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding Many-Shot In-Context Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:50.712218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74fdd147-704d-4168-b5dd-a50f240c3a74 · inbound

Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches cites this paper.

Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches Many-Shot In-Context Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T14:21:44.814743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f19ce1f1-5ac0-433e-b177-85ba35785d5d · inbound

Generative Data Refinement: Just Ask for Better Data cites this paper.

Generative Data Refinement: Just Ask for Better Data Many-Shot In-Context Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T20:24:40.433690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d6ac40-dfae-4661-94cb-c190c97c1134 · inbound

RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems cites this paper.

RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems Many-Shot In-Context Learning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T16:52:44.016896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed9196ce-3ed9-4d18-8a3b-59d1ff7f7043 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Many-Shot In-Context Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:41:38.098663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9031790c-4dd0-4f88-9fff-043856d4cc05 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Many-Shot In-Context Learning

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T16:41:37.307710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ef24f8fc-2be7-4807-8900-c8212641c3a5 · inbound

Towards a Physics Foundation Model cites this paper.

Towards a Physics Foundation Model Many-Shot In-Context Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T16:32:55.657212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01b1728-6061-4563-a4fe-55bcc65ca5c4 · inbound

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits cites this paper.

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits Many-Shot In-Context Learning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:25:51.275958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e9813abb-d828-4cc8-b72e-1ee78c799a77 · inbound

"AI Psychosis" in Context: How Conversation History Shapes LLM Responses to Delusional Beliefs cites this paper.

"AI Psychosis" in Context: How Conversation History Shapes LLM Responses to Delusional Beliefs Many-Shot In-Context Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:45:23.519687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 58531cb7-52ee-4da1-b700-01afb88ea7e5 · inbound

HieraSparse: Hierarchical Semi-Structured Sparse KV Attention cites this paper.

HieraSparse: Hierarchical Semi-Structured Sparse KV Attention Many-Shot In-Context Learning

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:16:54.202672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10437bb0-aa03-4d95-a651-7190cd4911c3 · inbound

LLMs with in-context learning for Algorithmic Theoretical Physics cites this paper.

LLMs with in-context learning for Algorithmic Theoretical Physics Many-Shot In-Context Learning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:31:25.802977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81a8e67a-9fae-40d5-9cf9-bc755d69e518 · inbound

AMEL: Accumulated Message Effects on LLM Judgments cites this paper.

AMEL: Accumulated Message Effects on LLM Judgments Many-Shot In-Context Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:11:06.874270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e5544720-94fc-438d-9317-0f9e93856451 · inbound

AMEL: Accumulated Message Effects on LLM Judgments cites this paper.

AMEL: Accumulated Message Effects on LLM Judgments Many-Shot In-Context Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:04:56.442254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 388e7956-e659-405a-b3a9-84c331aa4b82 · 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 Many-Shot In-Context Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:25:19.798012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 738c5366-a2e1-4c2f-bf01-994b31c9ae07 · inbound

Structuring Human-AI Productive Interdependence by Strategic Level of Automation Selection for Qualitative Inquiry cites this paper.

Structuring Human-AI Productive Interdependence by Strategic Level of Automation Selection for Qualitative Inquiry Many-Shot In-Context Learning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T15:43:32.874347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fe388e2e-73cf-4941-9661-cf8b1a5a8a96 · inbound

What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems cites this paper.

What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems Many-Shot In-Context Learning

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:06:47.994780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3c5279c-dc5b-45d8-96f9-738270914ca0 · inbound

CLaaS: Continual learning as a service for sample efficient online learning cites this paper.

CLaaS: Continual learning as a service for sample efficient online learning Many-Shot In-Context Learning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:46:56.252464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9ac86cdb-7338-4f1f-b2e2-dd1d2a66c0c8 · 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 Many-Shot In-Context Learning

Reference 200

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:07:48.436813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 98a972b5-9cda-4ce0-8aaa-a762421f2683 · inbound

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal cites this paper.

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal Many-Shot In-Context Learning

Reference 125

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:07:47.839210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb7ec3e7-9800-45a7-99ae-a7f0356e901b · inbound

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition cites this paper.

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition Many-Shot In-Context Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:23.463271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.