Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Learning Optimization Using Self-Adaptive Weighted Auxiliary Variables
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.21501.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:47:35.579415Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T20:36:08.302348Z
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 3fc01543-9315-475f-8120-16d23be87cf7 · inbound
Layer Separation Deep Learning Model with Auxiliary Variables for Partial Differential Equations cites this paper.
Layer Separation Deep Learning Model with Auxiliary Variables for Partial Differential Equations Deep Learning Optimization Using Self-Adaptive Weighted Auxiliary Variables
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:47:35.579415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91550dd9-d8d4-464c-bc04-d0a277d6f63a · inbound
A Layer Separation Optimization Framework for Cross-Entropy Training in Deep Learning cites this paper.
A Layer Separation Optimization Framework for Cross-Entropy Training in Deep Learning Deep Learning Optimization Using Self-Adaptive Weighted Auxiliary Variables
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:36:08.310996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.