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Paper Citation Record · LEDGER

On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.03982.

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

pith.paper-citation-record.v1
2402.03982 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:25:24.849410Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:47:28.516632Z

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 6a4893c6-141d-457a-bd52-17523901a20d · inbound

Simple Convergence Proof of Adam From a Sign-like Descent Perspective cites this paper.

Simple Convergence Proof of Adam From a Sign-like Descent Perspective On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:24.849410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:24.849410Z digest=sha256:e22fb9bc1ad95e51ad28541796eab09fbaa9b5da06660f1a07a58d3dfbc00fd0

Observation aef5e537-b67a-4191-baf8-44b8ee68e314 · inbound

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam cites this paper.

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T19:10:16.619880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:16.619880Z digest=sha256:0a27d277f91866bac05e13f41e38794b9e2acfa0c788673bde22670c9e58be33

Observation d7184af3-9835-412d-9c07-b2b85d6f49d4 · inbound

Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails cites this paper.

Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:36:17.485569Z

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=pdf_text observed=2026-05-15T16:34:31.388219Z digest=sha256:7e5095447817caf14d0b984687e750ded26cf490132dc3e9d75bcfceb40afd1b

Observation 929c9d95-91a4-4a30-804e-abe68b840ae2 · inbound

Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails cites this paper.

Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:50:03.758150Z

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=pdf_text observed=2026-05-21T11:47:27.345223Z digest=sha256:ceb4ec87f3be60268a2a6fd682d66e20eb0c8d79d3d1eb2c2d55d5815ef22148

Observation 0274dbcb-b05a-4548-adde-72110393bcae · 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 On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:47:28.518041Z

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=2026-06-27T17:47:21.377462Z digest=sha256:d0e2ab53588aa0dfd97f02d4788cb4b2333ece7f6da1186b13b9af25733773c7

Observation 94102910-f85c-440e-bea0-d997aa970d36 · 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 On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T05:43:08.866575Z

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=2026-06-29T05:33:27.870787Z digest=sha256:6aab5f1735ca3d23afe5e103c6f38bbaca31cf0a5b5dcbdab4bc76444a4cc362