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Paper Citation Record · LEDGER

AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.03619.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.03619 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:58.017123Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-16T04:35:58.152158Z

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 5430bcff-5ce3-4f35-bf34-202ebca4af90 · inbound

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM cites this paper.

DHO$_2$: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:35:58.156628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:35:58.017123Z digest=sha256:60f22b54c87deb397c45536db43359f47da6980e8aaaad2f4062b323e9163c6c

Observation 42ada8f9-0238-4557-b273-55ac564a510c · inbound

Learning to Optimize by Differentiable Programming cites this paper.

Learning to Optimize by Differentiable Programming AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-03T08:39:32.578543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:39:32.578543Z digest=sha256:0732c3a114d24e29835e1913495fcacc7ee1c3ad4a54e74206a0232aea39ca06