Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Estimating Knowledge in Large Language Models Without Generating a Single Token
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.12673.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:54.690565Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:19:38.833243Z
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 a6c60f8a-346e-4d6c-b250-5e0787900efe · inbound
On the Fundamental Impossibility of Hallucination Control in Large Language Models cites this paper.
On the Fundamental Impossibility of Hallucination Control in Large Language Models Estimating Knowledge in Large Language Models Without Generating a Single Token
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:46:54.690565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8699235-d84f-450c-a427-e552c70d83bf · inbound
ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors cites this paper.
ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Estimating Knowledge in Large Language Models Without Generating a Single Token
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:01:42.437120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e2ef7b6-e25d-4801-a0f4-48b652219472 · inbound
Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process cites this paper.
Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process Estimating Knowledge in Large Language Models Without Generating a Single Token
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T06:19:38.834885Z
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.