Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:35:21.953300Z

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

Observation 629c5000-842b-4667-93ea-fd3e61ea4380 · inbound

Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities cites this paper.

Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T11:35:21.953300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d929f81-8347-4c09-9ec5-e5222cdfb4a7 · inbound

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models cites this paper.

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:29.375979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abd10a25-e010-412b-aad6-863e2a878ae3 · inbound

Knowledge Boundary of Large Language Models: A Survey cites this paper.

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

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T14:07:14.381769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a05b6d6b-a9dc-4058-8d9b-a2fb603eff54 · inbound

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge cites this paper.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:14.758418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3bb5253-8cb5-43dc-967d-c12e688bc1d8 · inbound

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG cites this paper.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.770576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df16f84-5542-4e56-a28c-ba9c7af0e1fb · inbound

LIBRA: Measuring Bias of Large Language Model from a Local Context cites this paper.

LIBRA: Measuring Bias of Large Language Model from a Local Context Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T18:14:07.340436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-13T06:32:02.005865+00:00.

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.

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.

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.

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.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.