Paper Citation Record · LEDGER

Do Large Language Models Know What They Don't Know?

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2305.18153.

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

pith.paper-citation-record.v1
2305.18153 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:48:39.218725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:44.928520Z

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 f08e6df1-e2f3-4880-bdf9-e4f735b56bb8 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Do Large Language Models Know What They Don't Know?

Reference 222

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:17:08.629566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5ea14b52-8aee-431c-83c4-14dab7ddef84 · inbound

LLM Evaluators Recognize and Favor Their Own Generations cites this paper.

LLM Evaluators Recognize and Favor Their Own Generations Do Large Language Models Know What They Don't Know?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.903039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7cadbd1c-136d-491f-925a-60f4288a91fe · inbound

Ask Good Questions for Large Language Models cites this paper.

Ask Good Questions for Large Language Models Do Large Language Models Know What They Don't Know?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:39.218725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1205565-0489-46ed-b40d-1676704c3f05 · 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 Do Large Language Models Know What They Don't Know?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:29.746170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c761c9b0-f8c0-4284-a76c-1b45c4a83184 · inbound

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable cites this paper.

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable Do Large Language Models Know What They Don't Know?

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T19:07:41.667518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a42fb6-3d52-4639-aa39-5598ee28b393 · inbound

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? cites this paper.

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? Do Large Language Models Know What They Don't Know?

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:03.445327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d90e65e-92d5-4654-8d18-5017f615ec7a · inbound

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research cites this paper.

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research Do Large Language Models Know What They Don't Know?

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:10:22.833535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c5b09c9f-8dff-43c5-87ce-af91dd870f13 · inbound

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents cites this paper.

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents Do Large Language Models Know What They Don't Know?

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-05-19T23:57:53.424666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 29254ddd-6f89-4a82-88e0-765f773dc315 · inbound

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming cites this paper.

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming Do Large Language Models Know What They Don't Know?

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:14:45.399293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 39e77bf3-ece5-4163-be70-3e5beb9352e0 · inbound

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming cites this paper.

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming Do Large Language Models Know What They Don't Know?

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:54:58.813489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b90da24e-de3b-427e-972c-960c69fc1a74 · inbound

Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence cites this paper.

Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence Do Large Language Models Know What They Don't Know?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:25:06.945513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 08c1bfda-b217-4615-b279-99e1b0bb9740 · inbound

Can LLM Rerankers Predict Their Own Ranking Performance? cites this paper.

Can LLM Rerankers Predict Their Own Ranking Performance? Do Large Language Models Know What They Don't Know?

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-02T05:16:39.634156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99a32362-76da-4e0a-8de4-74dba4552559 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Do Large Language Models Know What They Don't Know?

Reference 234

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:44.930257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 19fbd256-8d0c-4b8e-ad3f-d28d8cc7b0b0 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Do Large Language Models Know What They Don't Know?

Reference 233

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:59.671340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0367a25-6287-462a-a816-905afc749341 · inbound

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning Do Large Language Models Know What They Don't Know?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.558446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b45c87c5-0a8d-4ca1-9206-ff05e98c21f6 · inbound

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction cites this paper.

Think Through a Bottleneck: Hourglass Reasoning for Rigorous Induction Do Large Language Models Know What They Don't Know?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-14T03:48:31.314623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9feba7b7-1427-4109-abf2-c88113c857c2 · inbound

Lost in Context: Addressing Context Anxiety in Large Language Models cites this paper.

Lost in Context: Addressing Context Anxiety in Large Language Models Do Large Language Models Know What They Don't Know?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T12:47:57.166973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.