Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.08574.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T12:15:21.493399Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 27956fa7-bd6b-48f3-8196-283eb3419417 · inbound
Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation cites this paper.
Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:58:26.595868Z
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 4213a040-ebfb-4df5-b330-7aee3c4c0923 · inbound
The Statistical Cost of Adaptation in Multi-Source Transfer Learning cites this paper.
The Statistical Cost of Adaptation in Multi-Source Transfer Learning Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
Reference 141
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:21:21.009876Z
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 4f0deb66-7306-481e-a424-9417f11c0fef · inbound
Using LLMs for Explainable, Data-Driven Insight Generation from Time Series cites this paper.
Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:15:21.493399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.