Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.13845.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:42:00.311051Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:56:19.755494Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 43e89832-fd82-4e89-aeba-0168d48dc018 · inbound
Assessing GPT Model Uncertainty in Mathematical OCR Tasks via Entropy Analysis Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f58edd11-d4ae-4cd2-a2ae-b2eaccdeb170 · inbound
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
Reference 167
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10478c31-b580-4eaa-a091-5d320035f793 · inbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bf6cd13-abb5-4dc2-8624-717ba0fb0e98 · inbound
Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
Reference 18
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 77a3c9b1-7ced-441a-bf35-6a4ed1316320 · inbound
DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
Reference 13
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.