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Paper Citation Record · LEDGER

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2307.11019.

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

pith.paper-citation-record.v1
2307.11019 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:53.189853Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:47:27.252959Z

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 c6dae54d-3964-4aa5-b7d7-b785c6acd8a2 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 228

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:47:49.185826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:74032059490e7821510ef0a4edb2c29d7b56bcd4118c5a5dca22326ab23527ba

Observation 810310fd-3ac0-4ed3-9296-df7211baad29 · 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 Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 274

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:47:07.695164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:977c5fdfd2b69ea4ba7298931cd06ea05f01b908b064682894e6e121b0307db6

Observation c46e8433-96b3-45c8-86b6-631df966eec1 · inbound

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

Retrieval-Augmented Generation for Large Language Models: A Survey Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:56.938887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:3e9698a750380a016e7689ea8010f6f2c7695c3111d011e2ec5afc58d32c941c

Observation f11016a2-4932-4b3f-a3a2-9131f0cef088 · inbound

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

Retrieval-Augmented Generation for AI-Generated Content: A Survey Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 182

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:32:17.464590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:b7bf00861f0b7541caa11368cc7d90450a2f7632bfbe78a3e995114fe2a7b645

Observation 00331109-bcb7-46a5-a7c9-95741d5f29dd · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 147

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:52:16.187074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:21051e8f2991c9483ee4fa7bc72c32250a17c29960e4beb62a4e71e52a2d479d

Observation e459756e-426e-40e3-a185-369579f98cf0 · 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 Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:53.189853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:53.189853Z digest=sha256:5066dba87afdb2cf382f03b6ad81b2a84aa36df811e1358c9eca8efdc42ee672

Observation 480f5e69-c764-494a-a1d9-c24da19b53f4 · inbound

A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T05:29:18.110515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:18.110515Z digest=sha256:1f8f1e437c81b253aaf8f61b0de4603cafc0891adad674d53af6ec64c9043024

Observation 4ae5eb83-62ad-419d-8941-0cb9f9a77e9e · inbound

Ask Good Questions for Large Language Models cites this paper.

Ask Good Questions for Large Language Models Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T18:48:38.280167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:48:38.280167Z digest=sha256:ac4719142859f03b282c35f7a5e2acc731de3b4dedfe36cf2f41b1afa9417bce

Observation 3e1a5080-7a38-4bbd-9a85-e675f5f32108 · inbound

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking cites this paper.

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T23:34:29.399438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:34:29.399438Z digest=sha256:a4a0797803e7ea4289b900b4562a5814e5fb1167b3abba359b0fde5e743110ad

Observation ab737bb9-b478-4903-82fc-2139ddd8e891 · inbound

Effects of Cross-lingual Evidence in Multilingual Medical Question Answering cites this paper.

Effects of Cross-lingual Evidence in Multilingual Medical Question Answering Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:51:04.591614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T23:56:42.453216Z digest=sha256:604d231bca7255953623f45cab3d563901e33a919532974351038787634fb41d

Observation 505f4f03-482b-4fa2-82d0-d73dc5c64b4a · inbound

Phoenix-VL 1.5 Medium Technical Report cites this paper.

Phoenix-VL 1.5 Medium Technical Report Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:24.813872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:41:27.144815Z digest=sha256:c87168687df3df62b5c329bd7aac92199769e5a9baa9c207f654833932f68eb8

Observation 3e4550fe-10da-4bb5-a5ae-236792f58bab · inbound

GRACE-RAG: Governed Retrieval Architecture for Canonical Evidence Synthesis, Enabling Lightweight Deployment in Closed-Domain Institutional Settings cites this paper.

GRACE-RAG: Governed Retrieval Architecture for Canonical Evidence Synthesis, Enabling Lightweight Deployment in Closed-Domain Institutional Settings Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:47:27.254294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-02T23:39:38.026002Z digest=sha256:3ca0c595e8f8995ff9cc9efff40351747021e0a3a2b87c829ccc0236de4e21e0