Paper Citation Record · LEDGER

In-Context Retrieval-Augmented Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 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 28 of 28 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 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:21:59.345421Z

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

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 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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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.

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.

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.

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.

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 2026-08-08T06:32:00.761636+00:00.

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.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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.

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.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.