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Paper Citation Record · LEDGER

In-Context Retrieval-Augmented Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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 26 of 26 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 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:06:36.180787Z

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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  • verified fuzzy0
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  • 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 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

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

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:fe2960c58e4294e17c5de07428f35648690b26493a4162b8fa7816accba3dc05

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

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

source=arxiv_source observed=2026-05-12T03:33:45.855974Z digest=sha256:3b3b59e18e155926d21a4d35c7f53edef9fc75d5d6ec5afec68af6b84843424e

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

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

source=arxiv_source observed=2026-05-16T13:21:24.297836Z digest=sha256:5f074fd317e4f888880d6c1f38eb22149adaa6f41f8d7f70acb644cbff166e81

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

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

source=arxiv_source observed=2026-05-24T06:33:48.456209Z digest=sha256:39d6106849e1158bdf6e7582139551d617206961288fe15646dcbd641c0c1587

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

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

source=pdf_text observed=2026-05-10T12:27:29.041352Z digest=sha256:f9a0dc7f74e214c8d08b8295f368a12de42da7c67b07d33b4a98d5c5a3ebe637

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

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

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:16695035d33283898a967669ca48c1456cb49e0f1897fa3791730fff0ed98ca2

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

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

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:a636236231cfec1a09e3beaf299a24dd4eee26db1704d5bf81de1e2c26c38e6d

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

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

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:598353492d9f95f33dc06bc380a2985b14225ae0bf5186347870d4d96631d561

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

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

source=arxiv_source observed=2026-05-15T13:07:16.151160Z digest=sha256:1f546821b4888d5cb83680a7b677ab71be2b33e802588082c7f889a411b76678

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

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

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:19a6400c0c530e2fd218ef5b499a4642412ed9f3c7442cfa312411d4a217dde0

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

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

source=pdf_text observed=2026-05-17T17:44:13.310155Z digest=sha256:6dbaaa180fbceafd9c0775f3b43193e473ce413fd0b0e1b8c710599fb394dcc1

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

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

source=pdf_text observed=2026-05-22T16:05:04.715678Z digest=sha256:d8f42d1edab81e5a40fee7ec496a043f813a71ea1c47fd00064c3d36c333b373

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

Resolution
unresolved
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=sha256:68111f2385fe375fb5d92a0eacdbefa929c4c1d9ec37872b25ca5f7fe4cd24b6

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

Resolution
unresolved
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:e5cd4e115a83e74d9c3eb3cd10b81b8dd97dccda36915e6551e1f8f3409d34e5

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

Resolution
unresolved
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=sha256:5f5589f29e1c1bb70eca868f1d67a7ed1f369eee35ed084463d4fbb79c9108dc

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

Resolution
unresolved
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=sha256:70fa837103a5d99381fb6fa717d764fafe45dcc9caf2aece125c23dafd951de7

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

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

source=pdf_text observed=2026-05-18T13:10:16.948681Z digest=sha256:680f0a4eb04d2886f6b87e05c7ad2efecf2c3c1e061085ccca7a5ce7a278d1f8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:04:47.687033Z digest=sha256:bb8e648d8165ecedbb4a27749b1429813ecbe05f200e8e1bee5b5060bec747b8

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

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

source=pdf_text observed=2026-05-10T17:51:41.539951Z digest=sha256:0fdeb31ef1928ad3e165153d70869e3efa35227d52e234b0ec5d9b603867184a

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

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

source=pdf_text observed=2026-05-10T11:17:36.658624Z digest=sha256:1df3505ff245beae3e05737f9fe0e998136969f8b46344037fefca5c76358f92

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

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

source=arxiv_source observed=2026-05-08T12:10:01.748436Z digest=sha256:a290dee6a1ce47cf08f38b8a5902a72e3a0c5ad354a69f153341accbd9f4ac15

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

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

source=arxiv_source observed=2026-05-22T07:07:36.726431Z digest=sha256:234ab0ed10ae50eb061e8821f34bdf770d78d17a04daee2c9a3c9947904b024c

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

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

source=pdf_text observed=2026-06-27T16:24:31.109508Z digest=sha256:865dd77800c961bee32fbcbeb72ba8bfbf51faa679fb7cbdbc672b413d02f8e4

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

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

source=arxiv_source observed=2026-06-26T17:30:07.053955Z digest=sha256:b4369ef70df6002bc7a802634b3f91c344985e8e8987a2b3755e631b028fe80b

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

Resolution
unresolved
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=sha256:95114f54379e5e524b9787c6a67da184555243ee20e8feb9802755d3fef27930

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

Resolution
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:fa2cec12606889440d065d1a10e52bed2c747d0852dd3f7753b17202bf032740