Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Convergence and Generalization Using Parameter Symmetries
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.13404.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:58:27.096742Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T18:50:30.158833Z
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 0e132255-ffe7-4f2a-ae40-fefbecd25cd5 · inbound
Parameter Symmetry Potentially Unifies Deep Learning Theory cites this paper.
Parameter Symmetry Potentially Unifies Deep Learning Theory Improving Convergence and Generalization Using Parameter Symmetries
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:58:27.096742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation decbdb45-d7ab-4cc6-87df-5803ac34e32f · inbound
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations cites this paper.
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations Improving Convergence and Generalization Using Parameter Symmetries
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T18:50:30.161371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b968b451-a949-4687-b63f-12a440c3c59d · inbound
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations cites this paper.
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations Improving Convergence and Generalization Using Parameter Symmetries
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:21:42.380287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.