Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T16:34:26.519395Z
Paper Citation Record · LEDGER
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models
As of 22 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2605.24053.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
9 of 9 outbound references displayed
- verified exact7
- verified fuzzy1
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3faaaf57-1253-41f4-b177-34e297a0abab · outbound
This paper cites Constitutional AI: Harmlessness from AI Feedback.
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models Constitutional AI: Harmlessness from AI Feedback
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:35:12.244537Z
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.
Observation 699c16b7-1b8f-4bcc-ab39-1912783aced5 · outbound
This paper cites Brown, Benjamin Mann, Nick Ryder, et al.
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models Brown, Benjamin Mann, Nick Ryder, et al
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T12:54:53.671420Z
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.
Observation 0131b9c0-b055-4d22-86b5-3e212d06cf4b · outbound
This paper cites Language Models (Mostly) Know What They Know.
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models Language Models (Mostly) Know What They Know
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:35:12.251110Z
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.
Observation 07b137c9-3f87-468e-a39a-612a037e0170 · outbound
This paper cites Better Zero-Shot Reasoning with Role-Play Prompting.
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models Better Zero-Shot Reasoning with Role-Play Prompting
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:35:12.248268Z
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.
Observation 2f4eb906-97aa-4f2e-972e-9e01e0b40427 · outbound
This paper cites an unresolved cited work.
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T12:54:53.673089Z
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.
Observation e2ccf216-21a8-4cb9-a8cb-d98b9323e4f1 · outbound
This paper cites From Scalars to Tensors: Declared Losses Recover Epistemic Distinctions That Neutrosophic Scalars Cannot Express.
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models From Scalars to Tensors: Declared Losses Recover Epistemic Distinctions That Neutrosophic Scalars Cannot Express
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:35:12.229958Z
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.
Observation b5541132-8ba6-41bc-9ce6-539d813973ce · outbound
This paper cites A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions.
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:35:12.251597Z
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.
Observation 131f7fa0-9357-4be7-bb46-81abe5086d8e · outbound
This paper cites A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement.
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:35:12.238539Z
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.
Observation 1022ec08-abf0-4032-bd4a-68ab0957a649 · outbound
This paper cites Mitigating LLM Hallucinations via Conformal Abstention.
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models Mitigating LLM Hallucinations via Conformal Abstention
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:35:12.236028Z
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.
Pith citing papers
No inbound Pith citation observations are available.