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Paper Citation Record · LEDGER

A survey of deep learning optimizers -- first and second order methods

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.15596.

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

pith.paper-citation-record.v1
2211.15596 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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:31.457655Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.026667Z

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 3ea2d6ac-073c-4a98-a338-fb4af51b388d · inbound

Accelerated Training of Federated Learning via Second-Order Methods cites this paper.

Accelerated Training of Federated Learning via Second-Order Methods A survey of deep learning optimizers -- first and second order methods

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:31.457655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:31.457655Z digest=sha256:5e7457644e6e25886ca6048e2129352a1a69ecf311e5d294b9a2e3a35d4bd422

Observation 051fe099-ab16-4b10-8f35-ac52b44240e0 · inbound

Efficient Unlearning through Maximizing Relearning Convergence Delay cites this paper.

Efficient Unlearning through Maximizing Relearning Convergence Delay A survey of deep learning optimizers -- first and second order methods

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:02.137667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T16:37:24.974659Z digest=sha256:48bc731660a14e1cb31bcca3bc47770b0b03511261dcfdfcd80102826c8603d5

Observation d2bc0be2-d6eb-4389-b095-b87466087e66 · inbound

FOAM: Frequency and Operator Error-Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo cites this paper.

FOAM: Frequency and Operator Error-Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo A survey of deep learning optimizers -- first and second order methods

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:06:16.028462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T15:49:18.685160Z digest=sha256:85513c0fd7822c6756f0fda186f2c9ff53e574bf4a29cf8c925ecacc0481049c