Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T18:13:09.919768Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2512.06553.
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, observed 2026-08-03T18:13:09.919768Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
8 of 8 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation cda65b63-7cd1-4226-8736-a41b83131564 · outbound
A Latent Variable Framework for Scaling Laws in Large Language Models (1998), Information theory and an extension of the maximum likelihood principle, in‘Selected papers of hirotugu akaike’, Springer, pp
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a41871b-6fb5-42d0-8264-a855227aa53f · outbound
A Latent Variable Framework for Scaling Laws in Large Language Models Assumption (b) of 2 provides the condition for the central limit theorem to be applied to the score function
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 756983c2-933b-49b3-97fb-c5914d413660 · outbound
A Latent Variable Framework for Scaling Laws in Large Language Models Yi: Open Foundation Models by 01.AI
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ae4dc6c-3922-4f73-9829-6c24af23ffd7 · outbound
A Latent Variable Framework for Scaling Laws in Large Language Models Conditions (ii) and (iii) are clearly satisfied by Assumption 1 and our scaling model specification
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78e87dfa-bc5e-4313-a63c-a4e562d02486 · outbound
A Latent Variable Framework for Scaling Laws in Large Language Models Finally, under Assumption 2, the uniform law of large number holds for the quantity N−1∑N l=1∂2 logfl(Y (l)|ξ )∂ξf∂ξ ⊺ f over a small neighborhood ofξ∗ f
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e1dc595-6e82-4a4b-9387-16a4f7782326 · outbound
A Latent Variable Framework for Scaling Laws in Large Language Models Unresolved cited work
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7c5254a-50c8-433f-b9fa-d8854e7fd5d5 · outbound
A Latent Variable Framework for Scaling Laws in Large Language Models Establishing Task Scaling Laws via Compute-Efficient Model Ladders
Reference 465
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3d31617-dccf-4ad7-9f84-64f7f304319b · outbound
A Latent Variable Framework for Scaling Laws in Large Language Models Holistic Evaluation of Language Models
Reference 2001
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.