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Paper Citation Record · LEDGER

Adaptive Gradient Descent without Descent

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1910.09529.

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

pith.paper-citation-record.v1
1910.09529 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:53:06.189659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:08:43.625139Z

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 b34d58b7-f29d-407e-bfd4-cfcb9efb822d · inbound

Projected gradient methods for nonconvex and stochastic smooth optimization: new complexities and auto-conditioned stepsizes cites this paper.

Projected gradient methods for nonconvex and stochastic smooth optimization: new complexities and auto-conditioned stepsizes Adaptive Gradient Descent without Descent

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:25:28.054965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T06:23:51.617737Z digest=sha256:fb19d217a4f3abc1ba5b06e2c68510e53be0eb1c7208b56c29ead7aad891b64e

Observation f9dc7316-4bab-41f3-bc89-2464c4775933 · inbound

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications cites this paper.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Adaptive Gradient Descent without Descent

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.189659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.189659Z digest=sha256:1ac0cdbf4b421b8cab535d33b7d643d7709fd6899750a865b6ff45e4f49628ba

Observation 62a50b7a-aa01-4eb5-a9bc-605cdc44fc4f · inbound

AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent cites this paper.

AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent Adaptive Gradient Descent without Descent

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:30:26.665057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:30:26.665057Z digest=sha256:cbe1b9970a560289050345791c44c86235ff05786dd2dc75cb759283d29a010c

Observation 9891b890-8270-49dd-bbcb-f56b37101bb1 · inbound

A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization cites this paper.

A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization Adaptive Gradient Descent without Descent

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:21:40.039733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T17:20:09.257391Z digest=sha256:621b6404588915cb0aefc54df93112f8c5f7cdfc2700a7b8c8af7d7dd151e627

Observation 9eee0448-b46f-4849-a241-1e1fe04fb079 · inbound

Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization cites this paper.

Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization Adaptive Gradient Descent without Descent

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-18T09:46:12.506790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T09:44:53.004293Z digest=sha256:26891137612e8823f7c53d02d4f9ef621ef099f48a1113813ca6e1a2b8b725f6

Observation 00548390-d239-4fe5-9b46-251ccdecd4a2 · inbound

A Line-search-free Method for Adaptive Decentralized Optimization cites this paper.

A Line-search-free Method for Adaptive Decentralized Optimization Adaptive Gradient Descent without Descent

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:06:08.514692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T18:46:27.131380Z digest=sha256:bf518a140c4f61df842fa13d51619aefdcb7811cbc61121b05443cb948ae7959

Observation 5c7e3382-9bd2-4a33-a1ca-e54a8ea31160 · inbound

A Line-search-free Method for Adaptive Decentralized Optimization cites this paper.

A Line-search-free Method for Adaptive Decentralized Optimization Adaptive Gradient Descent without Descent

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T15:08:50.234110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:08:50.234110Z digest=sha256:4d73a0c331df6d4558b7b1126d448fe69ebe3826db90b1ba880652080131fb0d

Observation 0f0305af-9b63-440a-a380-3bcc4202f81c · inbound

Adaptive Accelerated Mirror Descent in Primal and Dual Spaces cites this paper.

Adaptive Accelerated Mirror Descent in Primal and Dual Spaces Adaptive Gradient Descent without Descent

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T00:46:24.653275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T13:17:11.219557Z digest=sha256:1ad44f8a6bf6778d6a8e2af3107151207ed77ff6e8678472499f26db97e30e5e

Observation 1ba67e0f-3b71-4ede-be2e-5bd6a7cecc95 · inbound

Exponential Adaptive Smoothing and Importance Sampling for Optimization of the Conditional Value-at-Risk cites this paper.

Exponential Adaptive Smoothing and Importance Sampling for Optimization of the Conditional Value-at-Risk Adaptive Gradient Descent without Descent

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T07:37:45.448569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T11:57:40.571364Z digest=sha256:b3e26f73b8114bd1858be450901bdd22cd9be5f5cf63bed20c0aa8a60a37df48

Observation 6094c44e-4506-4b44-b9cf-67cddb096819 · inbound

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning cites this paper.

Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning Adaptive Gradient Descent without Descent

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:08:43.626648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T04:33:10.554853Z digest=sha256:d0b65a0089a3286957510c6d412dc73417524eb0f35f63dc081edfdf1a868caf

Observation 4f49e547-105f-4237-984f-6c14e670d271 · inbound

SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates cites this paper.

SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates Adaptive Gradient Descent without Descent

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T13:05:45.497060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T01:05:17.842447Z digest=sha256:fc65839ddd9ba4849ee3ea79d70329de707f37f824eedf0bb9e13cdb9939e725