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Paper Citation Record · LEDGER

Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.07628.

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

pith.paper-citation-record.v1
2112.07628 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T07:57:49.746594Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:59:50.157490Z

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 600ee460-7bea-4467-9cb9-3721c9685905 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:36:19.909326Z

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.

source=arxiv_source observed=2026-05-12T03:36:12.915133Z digest=sha256:c45e8616a1da1f2dee448f98a2b30124335da1e72be16d68ab0bacbb26ca75e2

Observation b80f10e9-e338-4b2e-a14f-7e44169eb978 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:32:30.456800Z

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.

source=arxiv_source observed=2026-05-13T07:29:14.545746Z digest=sha256:b7b579c68c2ba57959087615927e1759d27da20c7aea91812cd412b10e800ddb

Observation 9fcf0709-5a2d-438c-ae53-8a03e1c62e36 · inbound

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices cites this paper.

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:59:50.159507Z

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.

source=arxiv_source observed=2026-05-21T07:57:49.746594Z digest=sha256:780ad309e14edb7ba2bfacf2c2bd30eb147a6d222482d80d3558941f8ca09eee