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Paper Citation Record · LEDGER

In-Context Retrieval-Augmented Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2302.00083.

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

pith.paper-citation-record.v1
2302.00083 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:34:10.118273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:32.507711Z

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 b08fc384-7c3f-4b21-bf81-3441707ed209 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models In-Context Retrieval-Augmented Language Models

Reference 198

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verified exact
arxiv_id, observed 2026-05-19T20:28:39.624950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:adfa7543059f351c39b3ccdef5ce876172e8cd6837a68faa7dde6ecf1aef871a

Observation dee39435-7641-4b9b-8a78-d7eb465a5a7a · inbound

Towards General Text Embeddings with Multi-stage Contrastive Learning cites this paper.

Towards General Text Embeddings with Multi-stage Contrastive Learning In-Context Retrieval-Augmented Language Models

Reference 40

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verified exact
arxiv_id, observed 2026-05-12T03:33:45.964863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T03:33:45.855974Z digest=sha256:f9ba37c0ea5d87c8b8514027164bfab8e1596dc7b686be7d912910f7abd18697

Observation 593d3bb4-bcee-4a5e-b0a4-e7b4a0de0cb8 · inbound

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models cites this paper.

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models In-Context Retrieval-Augmented Language Models

Reference 85

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arxiv_id, observed 2026-05-16T13:21:24.382857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-16T13:21:24.297836Z digest=sha256:e366f736e1158d9fbedcd6ee3fde4ff6f417d386b1058eae0a15f8de664c5e1d

Observation d843dc59-ff63-4e79-8ef7-88f514926ef1 · inbound

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs cites this paper.

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs In-Context Retrieval-Augmented Language Models

Reference 45

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verified exact
arxiv_id, observed 2026-05-24T06:34:01.079225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-24T06:33:48.456209Z digest=sha256:a1f921d90af51a9c47e335eda099295341769037807a50556da3f828ff3060b2

Observation 5c53eb12-0177-49c5-9708-2033f8b913dc · inbound

MemGPT: Towards LLMs as Operating Systems cites this paper.

MemGPT: Towards LLMs as Operating Systems In-Context Retrieval-Augmented Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-10T12:27:29.149446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T12:27:29.041352Z digest=sha256:79c3dbbf22526a2bca96a2a37b8c9aba6e9c9e2760773db03660e1db4fc8ef85

Observation 2cce0095-f54c-470f-838a-72745a750b31 · inbound

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection cites this paper.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection In-Context Retrieval-Augmented Language Models

Reference 41

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verified exact
arxiv_id, observed 2026-05-12T14:15:11.317713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:1a00d5b810f29de661f1982699ef3e381aa460f6fd19746814456a86caabd15c

Observation 64f6fc3f-105f-4c03-af33-42252bef8fcf · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions In-Context Retrieval-Augmented Language Models

Reference 268

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arxiv_id, observed 2026-05-13T02:46:27.878655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:198303203acaf06b1ce3eac59fea422946b742914a5e0cccee8225e541f46700

Observation b9773a25-fbac-4a58-bfc7-e09da1bb18d0 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey In-Context Retrieval-Augmented Language Models

Reference 64

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verified exact
arxiv_id, observed 2026-05-24T05:13:56.926895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:de4d847d712d6e8521775ae3e655bd00a3d201cf05676d5a11b4a7ebbe8c94dc

Observation de97d298-1098-4f49-a60a-f911eb295e62 · inbound

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval cites this paper.

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval In-Context Retrieval-Augmented Language Models

Reference 146

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arxiv_id, observed 2026-05-15T13:07:16.460510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-15T13:07:16.151160Z digest=sha256:7f7f0e9e8c8414294b256c4095f1a7f9012a0ed791198773cc514add1fd5cd60

Observation a05e8086-69d9-4fb2-a5b8-1ed01f13c5c2 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey In-Context Retrieval-Augmented Language Models

Reference 87

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arxiv_id, observed 2026-05-15T13:32:17.350761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:22918d476dee9c2db216b68664899befb272d506a6f88a94f0ed0befd3808c8d

Observation 8933fc54-8996-4233-a5c7-845db414187a · inbound

Efficient Learning Content Retrieval with Knowledge Injection cites this paper.

Efficient Learning Content Retrieval with Knowledge Injection In-Context Retrieval-Augmented Language Models

Reference 29

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no resolver link, observed 2026-08-12T10:37:16.365333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:37:16.365333Z digest=sha256:0020714adf3e544bb30dc9b2caecdac56ed725bd74107e814cd8c053ef0179d7

Observation 94fdc190-3f38-4a5f-baea-7f74ef423cc3 · inbound

Embodied CoT Distillation From LLM To Off-the-shelf Agents cites this paper.

Embodied CoT Distillation From LLM To Off-the-shelf Agents In-Context Retrieval-Augmented Language Models

Reference 2020

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no resolver link, observed 2026-08-11T14:56:14.675899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:56:14.675899Z digest=sha256:1ce955d947e4d67cb2d2cffe56fdb2dca578a1198de4433820bf8f523c26123b

Observation 01ad0ffe-491d-4dfd-9570-dbefe06881ea · inbound

Advanced ingestion process powered by LLM parsing for RAG system cites this paper.

Advanced ingestion process powered by LLM parsing for RAG system In-Context Retrieval-Augmented Language Models

Reference 20

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no resolver link, observed 2026-08-11T14:13:21.228229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:13:21.228229Z digest=sha256:918c1427ae3599a51e4be3596351a832ee3eb531c72a1ab43590e66689d4d276

Observation e198c41b-117f-4585-8ecb-4e18053c9b76 · inbound

A Proposed Large Language Model-Based Smart Search for Archive System cites this paper.

A Proposed Large Language Model-Based Smart Search for Archive System In-Context Retrieval-Augmented Language Models

Reference 13

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no resolver link, observed 2026-08-10T20:52:27.812397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:52:27.812397Z digest=sha256:ac40658e76c81224b0c8a5bb7c9baac098656a7b5ec51d919340759575e9db8b

Observation 619ff102-368b-4c7c-8b7f-9cb421a63b57 · inbound

Fanar: An Arabic-Centric Multimodal Generative AI Platform cites this paper.

Fanar: An Arabic-Centric Multimodal Generative AI Platform In-Context Retrieval-Augmented Language Models

Reference 36

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no resolver link, observed 2026-08-10T19:05:53.678931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:05:53.678931Z digest=sha256:ee5d69eff8107d8833be7a2fd852653e91e4b0da219d47b4357894bee7cfeb5c

Observation 9d7c9764-9ed1-431c-a6c2-b31b58e7b854 · inbound

Parametric Retrieval Augmented Generation cites this paper.

Parametric Retrieval Augmented Generation In-Context Retrieval-Augmented Language Models

Reference 33

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no resolver link, observed 2026-08-10T13:55:04.043238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:55:04.043238Z digest=sha256:198463edb010ce87406d8e31008206461da81e2cfece40e46e0df8784fb767fd

Observation 1a2733d2-23da-49c4-bb47-f300e6af16d2 · inbound

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence In-Context Retrieval-Augmented Language Models

Reference 50

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no resolver link, observed 2026-08-07T23:49:14.656863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:49:14.656863Z digest=sha256:55ec4240aa7bf392c05c7ed06521d68b7cc6b08b5000fe5cc97b723b2c232831

Observation 0dd9d168-b397-4e15-99c8-395741c4e046 · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching In-Context Retrieval-Augmented Language Models

Reference 29

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verified exact
arxiv_id, observed 2026-05-17T17:44:13.523496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T17:44:13.310155Z digest=sha256:70966cd1db52e3273e19ea8a9fdd5426638b2161324ec2f6c483cfa305d42c55

Observation 08b0c24c-afe1-4f95-a02b-137390c3baa6 · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching In-Context Retrieval-Augmented Language Models

Reference 29

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arxiv_id, observed 2026-05-22T16:06:45.985020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T16:05:04.715678Z digest=sha256:185ef1bf7f4861359e845bc7d86779d0553103ea61e13b7014694a97235c4e3b

Observation 8c40a462-bd6d-432d-89e8-e3b80e7c47cf · inbound

On the Merits of LLM-Based Corpus Enrichment cites this paper.

On the Merits of LLM-Based Corpus Enrichment In-Context Retrieval-Augmented Language Models

Reference 48

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no resolver link, observed 2026-08-07T06:06:36.180787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:06:36.180787Z digest=sha256:c90b600114ea5215bffa21fa60e3747b7785e5fc6f7cf9c9471cb805741464a5

Observation 4481cc7b-1372-4743-ba5a-8e0fe63fab75 · inbound

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation cites this paper.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation In-Context Retrieval-Augmented Language Models

Reference 19

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no resolver link, observed 2026-08-06T19:24:51.610954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:51.610954Z digest=sha256:19bddaaf76d63baae24704eab9ebc79145bbc1dd6d340c02ed301a02eaac461b

Observation e6572969-1979-4a75-91a6-b76a38ae753c · inbound

Shifting from Ranking to Set Selection for Retrieval Augmented Generation cites this paper.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation In-Context Retrieval-Augmented Language Models

Reference 17

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no resolver link, observed 2026-08-06T18:57:33.612325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:33.612325Z digest=sha256:a3c2507444d54134060727779fc3a4fdd901f4cb165bb9e1e414ea24f822e677

Observation 223b0bc9-01f6-4e64-ab1b-bf8fbdfeb7c4 · inbound

Structured Relevance Assessment for Robust Retrieval-Augmented Language Models cites this paper.

Structured Relevance Assessment for Robust Retrieval-Augmented Language Models In-Context Retrieval-Augmented Language Models

Reference 11

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no resolver link, observed 2026-08-06T13:00:16.564980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:00:16.564980Z digest=sha256:8846bf9246920123d999d570f08f2083d4c05156675198ff525e3a7b846503de

Observation a7049742-7bd4-4921-a53c-c6d1248dbdef · inbound

How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models cites this paper.

How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models In-Context Retrieval-Augmented Language Models

Reference 15

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verified exact
arxiv_id, observed 2026-05-18T13:11:23.879065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T13:10:16.948681Z digest=sha256:c3a2367ed86cd5ec303f0d42e6d7093728015395a1c6ed94f6e4826ba8bb5484

Observation 29496794-7a0d-4828-b5f2-83ae8701243e · inbound

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation cites this paper.

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation In-Context Retrieval-Augmented Language Models

Reference 4

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no resolver link, observed 2026-08-03T03:04:47.687033Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:04:47.687033Z digest=sha256:46af8dd7bfa427259b8cf014f9e0050b3590b320b8ce1f300301c7f0909d1f2a

Observation 522ffcd8-27db-47be-aa56-797aaabb3700 · inbound

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering cites this paper.

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering In-Context Retrieval-Augmented Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-11T06:00:56.840519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T17:51:41.539951Z digest=sha256:69930e19dc2334a08d6f3e6f768d7636774282dde5b317acfcdd3299c8f2dad3

Observation 10cb5e1a-ab84-452a-950f-f9098da1ec1e · inbound

IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning cites this paper.

IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning In-Context Retrieval-Augmented Language Models

Reference 23

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verified exact
arxiv_id, observed 2026-05-10T11:20:10.657400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T11:17:36.658624Z digest=sha256:3eb9853b126d314463ff69a7563e046c28199b375e1d64a732dbc7ce6a19d156

Observation e36a066f-18a7-4a8f-98a5-aa2e69a907fc · inbound

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases cites this paper.

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases In-Context Retrieval-Augmented Language Models

Reference 25

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arxiv_id, observed 2026-05-11T19:21:08.698498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T12:10:01.748436Z digest=sha256:7f7bf31bde46c1013dc4153b6a8b55facc3813c111fd1a26b9c2bc52ab6e4b8c

Observation b5840a00-e2e9-48e1-85b5-70212f0d288d · inbound

Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation cites this paper.

Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation In-Context Retrieval-Augmented Language Models

Reference 176

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metadata mismatch
arxiv_id, observed 2026-05-22T07:11:13.041201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T07:07:36.726431Z digest=sha256:aced024bbce54bdfd7594079108f858b1e26a854d75190aa43c07532349231b2

Observation 3d886110-bfad-4e3a-b0f6-f5899a6db256 · inbound

SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance cites this paper.

SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance In-Context Retrieval-Augmented Language Models

Reference 29

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verified exact
arxiv_id, observed 2026-07-03T01:37:31.212964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T16:24:31.109508Z digest=sha256:faaff5edf9a7e0c9b057eae4b9474a1afc257ad72cffce48b0b7e130bf9ecc92

Observation d537827f-e6ab-418a-afef-b8961f996df2 · inbound

CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges cites this paper.

CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges In-Context Retrieval-Augmented Language Models

Reference 187

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metadata mismatch
arxiv_id, observed 2026-07-04T03:59:32.510261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-26T17:30:07.053955Z digest=sha256:eaaca01910a1d5ad5c822f0e9ed3e9ae693e37c92edf5241a2bcc75bfd26a551

Observation 60725fdd-096d-4af1-99f0-344180826573 · inbound

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention cites this paper.

RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention In-Context Retrieval-Augmented Language Models

Reference 10

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no resolver link, observed 2026-08-15T15:34:10.118273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:34:10.118273Z digest=sha256:4b1bfd5d0cb6f6b72fb28c171ecd52e99267fcbf6830980e8f5e02edbda73ba1

Observation 1e140bd4-5890-4a31-bd35-56dad2afc9c1 · inbound

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms cites this paper.

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms In-Context Retrieval-Augmented Language Models

Reference 22

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no resolver link, observed 2026-08-01T14:35:26.234244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:35:26.234244Z digest=sha256:d649c02e5bf114c9a4a974119c12a53ff9d737f23b19f29ace6b448614ef6bbe

Observation 5f24706e-36a2-4882-8d39-2f83379eacb3 · inbound

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms cites this paper.

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms In-Context Retrieval-Augmented Language Models

Reference 22

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unresolved
no resolver link, observed 2026-08-03T01:44:58.960285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:44:58.960285Z digest=sha256:45b523dabc3e1bd7277bfac06e8bac3c471c7a083106b35a9477bfe274c8b1a0

Observation 54b12895-8ad8-4145-b0ce-faf5178e3eee · inbound

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning cites this paper.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning In-Context Retrieval-Augmented Language Models

Reference 2023

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no resolver link, observed 2026-08-08T10:21:59.345421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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