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Paper Citation Record · LEDGER

Retrieval-Generation Synergy Augmented Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.05149.

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

pith.paper-citation-record.v1
2310.05149 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:56.091652Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:13:56.947283Z

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 b105fd6f-f88a-4bd0-99c6-fd757aa86229 · 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 Retrieval-Generation Synergy Augmented Large Language Models

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.537564Z

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=sha256:04bf508fb57a95216255c86d6e0b58358d566ea37e0e6e299801f2c9574a4c8c

Observation bf74807a-33c8-4027-8d54-d9f30570b11c · inbound

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

Retrieval-Augmented Generation for Large Language Models: A Survey Retrieval-Generation Synergy Augmented Large Language Models

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:56.952214Z

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=sha256:13697c0298d40955e14166037563d7fba925758e4a0d778b647761497e0ed83d

Observation 8cc44cea-e735-4801-b248-300e1442ad07 · inbound

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

A Survey on Retrieval-Augmented Text Generation for Large Language Models Retrieval-Generation Synergy Augmented Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:15:55.442790Z

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=2026-05-24T02:15:05.379583Z digest=sha256:351768c25d418584e2fe3b075689ffacd0896c76759cb8b522b4413b39694835

Observation 93f1f42b-9bc4-447d-9796-05e229bb4060 · inbound

From Local to Global: A Graph RAG Approach to Query-Focused Summarization cites this paper.

From Local to Global: A Graph RAG Approach to Query-Focused Summarization Retrieval-Generation Synergy Augmented Large Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:58.074151Z

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=2026-05-11T05:10:57.816312Z digest=sha256:5e7968226e3c9aa93f8dd1bad8d794b9e965fba75082113059644de6dedc2b39

Observation 61749285-4b3b-4c1b-bb14-18e7b0e4dfe4 · inbound

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance cites this paper.

Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance Retrieval-Generation Synergy Augmented Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:56.091652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:56.091652Z digest=sha256:e9244edaf2a4af17101292606b1396120eb7021ae2ced2a373cebb4ed10e7729