Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.05497.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:16:46.608363Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T08:27:36.930104Z
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 9571ee8a-85ca-4f9d-a297-f62f9bf6bb17 · inbound
C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning cites this paper.
C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:16:46.608363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2626c37-e4cd-4a04-892f-ded10c7d12b2 · inbound
ESSAM: A Novel Competitive Evolution Strategies Approach to Reinforcement Learning for Memory Efficient LLMs Fine-Tuning cites this paper.
ESSAM: A Novel Competitive Evolution Strategies Approach to Reinforcement Learning for Memory Efficient LLMs Fine-Tuning Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T08:27:36.931992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 56e45640-04ad-42ad-a1ef-dedea919845c · inbound
A Faster Path to Continual Learning cites this paper.
A Faster Path to Continual Learning Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:41:02.714403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.