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Paper Citation Record · LEDGER

Deep Learning Optimization Using Self-Adaptive Weighted Auxiliary Variables

As of 11 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.

pith.paper-citation-record.v1
2504.21501 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:47:35.579415Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-06T16:47:35.579415Z digest=sha256:1b7daaf65820b6d8cdf8445bd4e792f106649b60d11af6337629352c166a5ce5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T08:33:44.846234Z digest=sha256:3c89b282251f86ebfbedb524be420c0511be33f3f772e1ee1986337f7c1fb69b