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Paper Citation Record · LEDGER

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.18150.

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

pith.paper-citation-record.v1
2402.18150 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:47:26.215281Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:32:28.601779Z

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 45c2d48f-7a9f-4833-bc97-cf74d2a2cfe0 · inbound

OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation cites this paper.

OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T23:21:42.127218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:21:42.127218Z digest=sha256:4128cc94cdd080d247791c9eb92f8df442bb361c33246e668bc32f99980ffd16

Observation 3378daf8-4b94-49da-a58b-e75afe1a3fc6 · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:32:28.603971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:0b84e054572a431635188ee166071bccb6ded1bc9b4d4474d1a5b8ef491d1ce8

Observation 9a20189a-be06-43d6-a536-4e59b3468c92 · inbound

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers cites this paper.

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T14:05:18.826562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:05:18.826562Z digest=sha256:d5158b1637442a105fadfe04ab3716f90661a42283d5e59d78b6cb5032383584

Observation a4f8f8ac-a147-4a44-9a51-e22dede87c90 · inbound

CKD-EHR:Clinical Knowledge Distillation for Electronic Health Records cites this paper.

CKD-EHR:Clinical Knowledge Distillation for Electronic Health Records Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T19:47:26.215281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:47:26.215281Z digest=sha256:b16ae0b1d749dc22b2766f645dd5ac6db4e38c9c5e2565ceddbadd11fafe7a3c

Observation 6d1c78a7-9c7b-40c7-8838-c0048a6d9cb5 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:53.879309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:53.879309Z digest=sha256:037624b450f5e8c8a8994c0aed4ae4d6f7a85650b875f2b92cbe86fd91ac20e2

Observation b7eefbed-9a03-46dc-a234-443b776d8010 · inbound

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries cites this paper.

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-14T13:55:16.160002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:55:16.160002Z digest=sha256:e2bec254b06cad7b87ff4e70147af1915950cc94e0d6045deea0d5587996f69a