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Paper Citation Record · LEDGER

Adam$^+$: A Stochastic Method with Adaptive Variance Reduction

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2011.11985.

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

pith.paper-citation-record.v1
2011.11985 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:43:01.844215Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:55:15.817882Z

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 929c6321-4e29-4615-9ed1-0bff2eb4f95e · inbound

MARS: Unleashing the Power of Variance Reduction for Training Large Models cites this paper.

MARS: Unleashing the Power of Variance Reduction for Training Large Models Adam$^+$: A Stochastic Method with Adaptive Variance Reduction

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T19:43:01.844215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:43:01.844215Z digest=sha256:3b0a31a7a147290f7741a6a6f457046b783a169e7a4ca4b82259605f44aec418

Observation 6f8f90bb-c2ea-4452-9de8-6966bae1c399 · inbound

Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism cites this paper.

Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism Adam$^+$: A Stochastic Method with Adaptive Variance Reduction

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:55:15.848572Z

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.

source=arxiv_source observed=2026-08-07T11:55:14.067024Z digest=sha256:6a6c070d0edd11b4be64a00582022eef1a209e2f35f9768b417a5ee16ac87ddd