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Paper Citation Record · LEDGER

In-context Learning with Retrieved Demonstrations for Language Models: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.11624.

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

pith.paper-citation-record.v1
2401.11624 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:31:49.778725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:11:21.343712Z

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 c868cd13-4574-4895-b02a-db05854016f2 · 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 Retrieved Demonstrations for Language Models: A Survey

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:49.778725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:31:49.778725Z digest=sha256:9e450e633da2ad5195a6db4b966af36bb7575beb0a46c89c87c1b53f470203f4

Observation 75033bb4-b7d7-4832-9c13-037af01d6c60 · inbound

Exploring Imbalanced Annotations for Effective In-Context Learning cites this paper.

Exploring Imbalanced Annotations for Effective In-Context Learning In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T23:52:00.834399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:52:00.834399Z digest=sha256:1703969122d46ef9b36ca6a73179af476092f7d0b2bba2c6db4866afa6ddf175

Observation 700ac781-6268-4607-9b69-8e051296536a · inbound

Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction cites this paper.

Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-08T04:54:01.960016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:54:01.960016Z digest=sha256:f7a93aa46ebdc5fa96fb2467647881a24043cd955fdbba7b0ddb94bbb540b189

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

The Role of Diversity in In-Context Learning for Large Language Models cites this paper.

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

Resolution
unresolved
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:f9c78717f15888aedf50cb66d81be1706f554c357c7e877747fbe6f14304de4d

Observation a46e64e7-bcd8-42a1-bd8b-bb93e1f65546 · inbound

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph cites this paper.

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:04.529311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:04.529311Z digest=sha256:e891a8979fdbed180859a172d480a52dd078f1903e1e3ebeed1bf386ef1d7b90

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

Learning to Select In-Context Demonstration Preferred by Large Language Model cites this paper.

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=sha256:417afb9197b1d54948a1e07da4f1a751dbe4cf187584d53ec22d7b3fb536d222

Observation fbd67e94-281e-4741-bbe6-a0262b07484a · inbound

CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer cites this paper.

CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:15.189249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:15.189249Z digest=sha256:82e973fe5b432dfe8dcac8d1185a6d551ea2937f46343d3038a637e228c171b4

Observation 8c457db1-aa37-43a5-8846-ae62e8eeb765 · inbound

Open-Set Living Need Prediction with Large Language Models cites this paper.

Open-Set Living Need Prediction with Large Language Models In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:28.758455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:23:28.758455Z digest=sha256:2b76a905002a36037991b7221c78f6b35fe23dc3a3af5ed69171fbb888f22941

Observation cd067063-b0f8-4f55-a7cb-7b0b545e97d1 · inbound

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds cites this paper.

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:40.744158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:17:40.744158Z digest=sha256:fdc3a4845227a0bce0a45b418e3bc19b6118f5898fde8aeb7915bdc7ffc2d41b

Observation 7c8c4f37-0f8a-4d6c-b47f-2c54a12fa078 · inbound

Surprise Calibration for Better In-Context Learning cites this paper.

Surprise Calibration for Better In-Context Learning In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:38.521648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:38.521648Z digest=sha256:b54ee0be993200d914aac4eb3eb1b3013c2dbe23d2052c73b01a1e5a47f727cd

Observation e3e78ca0-2082-4a66-9c8c-bf0cd743ac31 · inbound

CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation cites this paper.

CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:21.353738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:11:19.672753Z digest=sha256:a5aa9cc4dcc0a79bee5568a2724695209f81ed223a6fbc99e7f3add07278db29

Observation 29f509e8-6eef-4435-97f1-f76910222c43 · inbound

Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting cites this paper.

Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T06:48:52.091846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:48:52.091846Z digest=sha256:414a3c879d8aed6e3b6530c93607955564afb19d57d4d16584df904416b92651