Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2506.10972.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T16:34:37.277387Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:20:00.879922Z
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 3f548293-cac0-4949-a5d0-87a0484e754a · inbound
From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis cites this paper.
From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:34:37.277387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7579d70f-b6cc-447a-a3cf-d7b12452f481 · inbound
Scaling Laws for Neural-Network Quantum States cites this paper.
Scaling Laws for Neural-Network Quantum States Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:46:27.121108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e81b759-3d06-4973-99e5-f0153ed1af2a · inbound
Neural Scaling Universality: If Exponents Are Fixed, Time to Understand Coefficients cites this paper.
Neural Scaling Universality: If Exponents Are Fixed, Time to Understand Coefficients Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:20:00.881691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.