Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.13573.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:56:15.655803Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:08:55.762533Z
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 b49071f0-387a-4158-a707-ba9ba70341be · inbound
Harmonizing and Merging Source Models for CLIP-based Domain Generalization cites this paper.
Harmonizing and Merging Source Models for CLIP-based Domain Generalization Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:56:15.655803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf329a04-60a2-437c-8de6-77e56504f203 · inbound
A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction cites this paper.
A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T19:28:52.342481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f7511c21-f0b5-4547-9aba-43608fe4b077 · inbound
TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins cites this paper.
TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:08:55.764911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.