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Paper Citation Record · LEDGER

A High Probability Analysis of Adaptive SGD with Momentum

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2007.14294.

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

pith.paper-citation-record.v1
2007.14294 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:35:29.692489Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:56.229982Z

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 3bb1aab8-b3a4-46f1-98c3-aab8b62c63c6 · inbound

Sign Operator for Coping with Heavy-Tailed Noise in Non-Convex Optimization: High Probability Bounds Under $(L_0, L_1)$-Smoothness cites this paper.

Sign Operator for Coping with Heavy-Tailed Noise in Non-Convex Optimization: High Probability Bounds Under $(L_0, L_1)$-Smoothness A High Probability Analysis of Adaptive SGD with Momentum

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T11:35:29.692489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:35:29.692489Z digest=sha256:d5f5d30c64f496f190097509e057cf690df352dc36140ac892b80ac3e2d6ed02

Observation 1c479be7-40ca-4a51-8f26-36ec71a543a1 · inbound

Robust and Fast Training via Per-Sample Clipping cites this paper.

Robust and Fast Training via Per-Sample Clipping A High Probability Analysis of Adaptive SGD with Momentum

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T00:15:08.991160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-01T00:13:30.992193Z digest=sha256:fc4c02e42d60f0729e7fec2f7ca176178bcec1d934872a252e2a81e2eae99245

Observation c7bcad56-87dd-4ac3-a540-6cd64f59c992 · inbound

OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality cites this paper.

OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality A High Probability Analysis of Adaptive SGD with Momentum

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:47:28.523168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T17:47:21.377462Z digest=sha256:1d7764b03c5b8c47f0fd6c3cb0d1985f799c4bd28945b2fa9782f7793aa231eb

Observation eb6ce18f-a54f-45ee-a24c-6ba2f1331f7f · inbound

OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality cites this paper.

OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality A High Probability Analysis of Adaptive SGD with Momentum

Reference 86

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T05:43:08.786503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-29T05:33:27.870787Z digest=sha256:87c89ea6bddee40e0e11e94200b568bad0d6067c6a3b318d0176186da6674469

Observation 0567741e-3760-41a3-a440-2856e6a2727b · inbound

MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization cites this paper.

MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization A High Probability Analysis of Adaptive SGD with Momentum

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:18:56.231478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T01:31:53.550342Z digest=sha256:f98d038afc80c441dc79d24ccfa5bea8632ef00980d86170b3560374a775b27d