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Paper Citation Record · LEDGER

Learning To Retrieve Prompts for In-Context Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2112.08633.

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

pith.paper-citation-record.v1
2112.08633 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:24.905579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:29:15.901260Z

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 55038b63-2f20-4e73-82d5-d7003d441f05 · inbound

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

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Learning To Retrieve Prompts for In-Context Learning

Reference 236

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verified exact
arxiv_id, observed 2026-05-15T09:51:46.841055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T09:51:46.701149Z digest=sha256:c3888d243971d3d984fb1effb7760f1797a2eaade94845872db7f95b91e2492e

Observation 10b89b56-dc5c-4f78-a230-99b65d0d31de · inbound

REPLUG: Retrieval-Augmented Black-Box Language Models cites this paper.

REPLUG: Retrieval-Augmented Black-Box Language Models Learning To Retrieve Prompts for In-Context Learning

Reference 32

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metadata mismatch
arxiv_id, observed 2026-05-17T12:41:54.101006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-17T12:41:53.833754Z digest=sha256:c2ffbfbf53b86c21e6da65c92522bed3d972b5320dc1c4c4f08a0efc8bac9331

Observation 9f2c0869-3197-4ea8-bd82-0343c076cbec · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Learning To Retrieve Prompts for In-Context Learning

Reference 208

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verified exact
arxiv_id, observed 2026-05-19T20:32:45.554373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:47db54614ef6bcca69c1fa0196166e6a903ecc3794d3900252f5f8b14adccfe9

Observation 30d7e357-07bf-4551-afec-fc71f611ae7e · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Learning To Retrieve Prompts for In-Context Learning

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:33:44.487771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T19:33:44.146134Z digest=sha256:41345a45c8fb24855e3db4d267f294bd90018d5c11129fbf283572461ba3975a

Observation 95448844-7ab2-4a6b-ac3e-dc7ccc3b023e · 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 Learning To Retrieve Prompts for In-Context Learning

Reference 32

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no resolver link, observed 2026-08-07T14:09:05.294751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:05.294751Z digest=sha256:780b185549a4015e3f70fc3212f625c434ba761900d6d661af42ddcaed0208fe

Observation 6497cf4c-a99d-47f7-9e88-f15eea434867 · 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 Learning To Retrieve Prompts for In-Context Learning

Reference 40

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unresolved
no resolver link, observed 2026-08-07T14:09:24.905579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:24.905579Z digest=sha256:abf54c630c82cbc94dbf81c27380a0fd7087ca3f4a363079557689e9e3a85346

Observation f8bf5af1-1599-4164-a1b7-7758cc85e4b2 · inbound

Control-R: Towards controllable test-time scaling cites this paper.

Control-R: Towards controllable test-time scaling Learning To Retrieve Prompts for In-Context Learning

Reference 2021

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no resolver link, observed 2026-08-07T12:14:20.951963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:20.951963Z digest=sha256:157d5add16a7f60b85e87cdb4ff95521703cebccc7f809394f3b2ba814e94217

Observation d76af8e4-aafd-4869-9b31-541310841d09 · inbound

ConText: Driving In-context Learning for Text Removal and Segmentation cites this paper.

ConText: Driving In-context Learning for Text Removal and Segmentation Learning To Retrieve Prompts for In-Context Learning

Reference 54

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no resolver link, observed 2026-08-07T11:01:11.480737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:01:11.480737Z digest=sha256:44e0eb6e4fdfaf3f1b1a685b129ba328d2638bae654886c139f887565986f715

Observation 20c64c64-1063-4123-8313-09a6c4885605 · inbound

Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection cites this paper.

Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection Learning To Retrieve Prompts for In-Context Learning

Reference 33

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no resolver link, observed 2026-08-07T10:28:42.847907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:42.847907Z digest=sha256:5868b5efa9783e841836c392bc765e4aad60d5de99444bfa97b3d9bbb636de67

Observation 2b9aafad-f054-4ae3-96bd-d83281a2ade0 · inbound

Maximally-Informative Retrieval for State Space Model Generation cites this paper.

Maximally-Informative Retrieval for State Space Model Generation Learning To Retrieve Prompts for In-Context Learning

Reference 25

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no resolver link, observed 2026-08-07T01:03:46.372538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:46.372538Z digest=sha256:12392ade45499f7fd704ffb95dd675623e3e5bc3e42ce3719074a169dc5c2e1f

Observation d99dce78-33cb-4210-a76d-f07bd6333dce · inbound

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap Learning To Retrieve Prompts for In-Context Learning

Reference 26

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no resolver link, observed 2026-08-06T18:40:04.409141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:04.409141Z digest=sha256:596ace8ee110e233c63f88eaf36b271ac8e1c581da1a01cf5a58f90b357e5619

Observation c9ba00da-4994-472d-96e1-fce69dad8429 · 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 Learning To Retrieve Prompts for In-Context Learning

Reference 11

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unresolved
no resolver link, observed 2026-08-06T19:21:13.290224Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:13.290224Z digest=sha256:f35fc7407287c8ece658aaba1d887985cb00df4fb483a65a1d44b2e05bdb0fbc

Observation cf50ee82-a89d-49c5-a8ac-35045c61b7ad · inbound

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples cites this paper.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Learning To Retrieve Prompts for In-Context Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T11:01:54.569887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:54.569887Z digest=sha256:f11535a96a41310ab7eb017b20c22af1194db915beeff80f9f7d8a92e4df184a

Observation 70a1910d-baf9-4567-8f56-75bf46551cbf · inbound

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer cites this paper.

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer Learning To Retrieve Prompts for In-Context Learning

Reference 30

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unresolved
no resolver link, observed 2026-08-06T10:43:49.140696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:43:49.140696Z digest=sha256:a6e0c12b7f89f41409f7d0acac77bda15e974bc63a5d16d470aaf4a71159ac24

Observation 27ca42a2-efbc-4b65-9387-3f6b144a30f7 · inbound

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation cites this paper.

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation Learning To Retrieve Prompts for In-Context Learning

Reference 40

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unresolved
no resolver link, observed 2026-08-06T00:55:59.253741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:55:59.253741Z digest=sha256:56b3aa5b5c57a7b470a41ecdcb64363d78c47897eee37d313b24eef975216a68

Observation a2e624ae-b3e2-47dd-af59-528ffff44133 · inbound

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity cites this paper.

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity Learning To Retrieve Prompts for In-Context Learning

Reference 9

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unresolved
no resolver link, observed 2026-08-05T14:44:28.004611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:44:28.004611Z digest=sha256:a9b319b793492f79e1e0f340b20b59ffad44d8a82ebdab3c3aeac9b1c822f2e5

Observation 5210e8c4-d998-4f3a-b071-d7b17369784b · inbound

Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts cites this paper.

Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts Learning To Retrieve Prompts for In-Context Learning

Reference 2022

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no resolver link, observed 2026-08-05T12:14:09.492335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:14:09.492335Z digest=sha256:dd3b7f87de7d75a1c95632f51463410b81fd940a63c7beeec53c9b8cbdb6f431

Observation ab8ca629-6982-459c-beff-f01a7fe2aa1d · inbound

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning cites this paper.

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning Learning To Retrieve Prompts for In-Context Learning

Reference 39

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no resolver link, observed 2026-08-03T11:17:08.489749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T11:17:08.489749Z digest=sha256:1b5c0a3e46c71b2f1249fb2034002ccdb089a10b32294186e7b5d13cb0749bdd

Observation 9b1246d3-ca2b-4fae-9a5c-2a5ceaf75dda · inbound

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

Learning to Select Visual In-Context Demonstrations Learning To Retrieve Prompts for In-Context Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T05:46:07.412855Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:46:07.412855Z digest=sha256:efa9bdba27396e4916ad133c3c03e358a36e0ada32b6f1fb3e37765eb4302caf

Observation 054f281a-1581-4d4e-93c4-b26d71bece85 · inbound

Towards Effective In-context Cross-domain Knowledge Transfer via Domain-invariant-neurons-based Retrieval cites this paper.

Towards Effective In-context Cross-domain Knowledge Transfer via Domain-invariant-neurons-based Retrieval Learning To Retrieve Prompts for In-Context Learning

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:50:49.968284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:31:53.895388Z digest=sha256:27c0332c0a0d2dd256097364b9c31b5588538c0e61a61efdc73e750bc83cdfc7

Observation ad53a678-a2d0-4081-821b-1ac42069ee96 · inbound

Reason Analogically via Cross-domain Prior Knowledge: An Empirical Study of Cross-domain Knowledge Transfer for In-Context Learning cites this paper.

Reason Analogically via Cross-domain Prior Knowledge: An Empirical Study of Cross-domain Knowledge Transfer for In-Context Learning Learning To Retrieve Prompts for In-Context Learning

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:10:49.975472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:19:47.474410Z digest=sha256:4f907cd30aa9b9fd746d5a6c9339bcd9a321cbb8a73a7c94297476931d897cbd

Observation 02f032ba-3793-4fcc-8ef1-19a0967c2abc · inbound

Supplement Generation Training for Enhancing Agentic Task Performance cites this paper.

Supplement Generation Training for Enhancing Agentic Task Performance Learning To Retrieve Prompts for In-Context Learning

Reference 32

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metadata mismatch
arxiv_id, observed 2026-05-10T00:59:49.539205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T00:58:27.655909Z digest=sha256:44080bc31d016c62e054eea99b8ee4305d810e25bec7b2b15b74937ca5c91ff6

Observation 4ed25435-fff1-489d-a903-75a1652d4837 · inbound

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation cites this paper.

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation Learning To Retrieve Prompts for In-Context Learning

Reference 18

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metadata mismatch
arxiv_id, observed 2026-05-11T16:56:06.935153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T14:30:00.890117Z digest=sha256:0d23114f5e8aaf1f15fcecf9cbf501598101240e17e58ce35b7965d57400dc55

Observation 73116037-2264-4055-9562-0a4fdfe3cc05 · inbound

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods cites this paper.

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods Learning To Retrieve Prompts for In-Context Learning

Reference 36

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arxiv_id, observed 2026-05-10T07:11:53.395139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T07:09:21.652035Z digest=sha256:c13bff5c85044a7083a880a281a617b3865bf61ff198e297a5cf66df0a449bc9

Observation d1fa87e3-a775-4014-a724-1da2662c9c98 · inbound

BCL: Bayesian In-Context Learning Framework for Information Extraction cites this paper.

BCL: Bayesian In-Context Learning Framework for Information Extraction Learning To Retrieve Prompts for In-Context Learning

Reference 50

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arxiv_id, observed 2026-07-04T00:29:15.903955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T21:11:23.042546Z digest=sha256:08a8d6c711c0db760d7c051acf7fa2c5ea849029cf2a973366012a3bee47c5aa

Observation d18705d0-4fd7-4f03-a0c1-4005b8a8159e · inbound

Neuron-Aware Active Few-Shot Learning for LLMs cites this paper.

Neuron-Aware Active Few-Shot Learning for LLMs Learning To Retrieve Prompts for In-Context Learning

Reference 13

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arxiv_id, observed 2026-07-03T16:28:38.234706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T16:27:57.985267Z digest=sha256:baa3546cd6740f870b7f70b8614c0ecf0cbbc788108172f6c143b607d4b0c1c8