Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Thermodynamic Laws for Large Language Model Training
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.10559.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:59:05.518604Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T07:00:43.273983Z
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 52d8cbf4-a455-4428-b670-c19fcb8309d5 · inbound
Mpemba Effect in Large-Language Model Training Dynamics: A Minimal Analysis of the Valley-River model cites this paper.
Mpemba Effect in Large-Language Model Training Dynamics: A Minimal Analysis of the Valley-River model Neural Thermodynamic Laws for Large Language Model Training
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:59:05.518604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b88f9cc7-7416-4d8d-b8e8-91e37a2868d3 · inbound
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance cites this paper.
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Neural Thermodynamic Laws for Large Language Model Training
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:44:05.058346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4617356d-24ea-480a-be5f-e57e497bff5e · inbound
Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model cites this paper.
Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model Neural Thermodynamic Laws for Large Language Model Training
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:00:43.275595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.