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Paper Citation Record · LEDGER

A High Probability Analysis of Adaptive SGD with Momentum

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:5e2254f18b7ca4995799d2110e2722ca3b7033bdff4e8df94452152da6453649

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T00:13:30.992193Z digest=sha256:8d6d3c68de53c5258a25ca4b19308565f5dfb4f5e031c2a962595bede109a7f0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T17:47:21.377462Z digest=sha256:4132a0a121fa5cd56925e344c6b4a60ef3a2a3d01f6851a312ad4ba114de670d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T05:33:27.870787Z digest=sha256:009f62e3e0bdd9b32052daabb8b423d31ccffb8ed244a1e428b77909fcf0e03b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T01:31:53.550342Z digest=sha256:799d638791c5746fd3da4ff2499330e050234fa482c6a08a764f54fb6ebc7ee6