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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 7 inbound Pith citation observations for arXiv:2502.02002.

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

pith.paper-citation-record.v1
2502.02002 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:53:06.424201Z

measured 90 of 90 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:44:30.617748Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

83 of 83 outbound references displayed

  • verified exact6
  • verified fuzzy39
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation f8fc218d-b8e6-4da0-9f1b-55bba3a133a0 · outbound

This paper cites write newline.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications write newline

Reference 1

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no resolver link, observed 2026-08-09T13:53:05.858572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:05.858572Z digest=sha256:c8b016657838937337ab13b69fe79348867b81c63ff2d9500fd7b0520a10085d

Observation 36fd3804-8369-41e4-a99b-16bbfc36adbb · outbound

This paper cites Convex optimization with p -norm oracles.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Convex optimization with p -norm oracles

Reference 2

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no resolver link, observed 2026-08-09T13:53:05.866310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:05.866310Z digest=sha256:08f5b85f5375d2f43d6e99e5d7148389253f8b9abf4117071fd93ec3395dcd66

Observation 75e067f5-d351-49c2-855c-05d742016d35 · outbound

This paper cites Understanding Nesterov's Acceleration via Proximal Point Method.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Understanding Nesterov's Acceleration via Proximal Point Method

Reference 3

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verified exact
local_arxiv, observed 2026-08-09T13:53:06.633656Z

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=2026-08-09T13:53:05.874645Z digest=sha256:9d86a86424a15cb33177e25ce878b6c6a17fd5266f07c6045337ff0826f7e78a

Observation c01e22af-d5c9-473c-800b-b286fb87ff95 · outbound

This paper cites QSGD : Communication-efficient SGD via gradient quantization and encoding.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications QSGD : Communication-efficient SGD via gradient quantization and encoding

Reference 4

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no resolver link, observed 2026-08-09T13:53:05.881867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:05.881867Z digest=sha256:e9867680161c1a212678cc24cd79de968a23fa92e0567e7584688bd705b7af19

Observation 6d63c689-6517-490e-9d5a-9ee83926c5ec · outbound

This paper cites A convergence theory for deep learning via over-parameterization.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications A convergence theory for deep learning via over-parameterization

Reference 5

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no resolver link, observed 2026-08-09T13:53:05.887704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:05.887704Z digest=sha256:917553ac402e2a2aecc1fc82a9b4d33b8ad80eaafb5d8ce2f365d3854fb3e8a8

Observation 5c745eb5-5ddf-4ef4-8170-6b91b7f4b48d · outbound

This paper cites Tighter Performance Theory of FedExProx.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Tighter Performance Theory of FedExProx

Reference 6

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no resolver link, observed 2026-08-09T13:53:05.893403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:05.893403Z digest=sha256:6cf2c6ba92bdbde4b43da707a7a77016c78a8f92f64de26b6d5784952a77ac4b

Observation 499c67df-bc07-4341-9995-6f9353326345 · outbound

This paper cites Stochastic bias-reduced gradient methods.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Stochastic bias-reduced gradient methods

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.434926Z

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=2026-08-09T13:53:05.899699Z digest=sha256:76d8a971f47290b7c371b00bd4b2cf827786a592bb98e4ed82daf7fbebdee484

Observation c7f993ef-b6cd-4450-b401-f63a3d0efa67 · outbound

This paper cites and Levy, K.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Levy, K

Reference 8

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raw_fallback, observed 2026-08-09T13:53:08.414974Z

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=2026-08-09T13:53:05.906126Z digest=sha256:c18afe959fa0426bc783b72d481676b0f333eaef5f38ad3bb3405faf488daaae

Observation e360d4a4-bc13-41f4-ad9a-ddd732ec5572 · outbound

This paper cites H., Combettes, P.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications H., Combettes, P

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.396129Z

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=2026-08-09T13:53:05.912904Z digest=sha256:a0dc20203c559b4875b1f75aa1a75e5fcfa721883eacd06db6c0fde4de8388b9

Observation 8806b1b8-390f-4bb1-9cf7-adc60b6d432f · outbound

This paper cites First-order methods in optimization.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications First-order methods in optimization

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.377767Z

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=2026-08-09T13:53:05.918340Z digest=sha256:fbde17d73f2ffc2ac1c149fe9e53e9c690570d1dbd34fbeee1c9572db8b4399f

Observation 76c1dd95-5ec4-40fe-b606-39a075a1274c · outbound

This paper cites and Teboulle, M.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Teboulle, M

Reference 11

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raw_fallback, observed 2026-08-09T13:53:08.358089Z

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=2026-08-09T13:53:05.925633Z digest=sha256:d20cfb5e1e1f03948bfe3ecb397ca6837546e2a63ca94491efc38136bde25e42

Observation 1bdac7c0-d22a-4e08-b42f-86e8a34b632c · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-09T13:53:08.339297Z

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=2026-08-09T13:53:05.931686Z digest=sha256:3374da3249c6a0fdda07971007d03d9b53cd2fa814f793c762ced283f7c04bd4

Observation a59ed539-d25f-416f-8cb2-83f42d9ee6f6 · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 13

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unresolved
no resolver link, observed 2026-08-09T13:53:05.937811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:05.937811Z digest=sha256:c1ec81bc1ad8f7cfcba6b7add42af2fec3bfd7d38258ab9560cea80ae4398ce3

Observation f5801b65-2c63-4d81-87bc-b7a0a96e664d · outbound

This paper cites T., Sidford, A., and Tian, K.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications T., Sidford, A., and Tian, K

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.305987Z

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=2026-08-09T13:53:05.944615Z digest=sha256:a83ccf973c8ccdae31d9e1c2d0e4058c027ad6fbe319016208af6894b169fb1c

Observation 8b026f1c-7b38-4b9b-a8fa-e17364687578 · outbound

This paper cites Thinking inside the ball: Near-optimal minimization of the maximal loss.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Thinking inside the ball: Near-optimal minimization of the maximal loss

Reference 15

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raw_fallback, observed 2026-08-09T13:53:08.285928Z

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=2026-08-09T13:53:05.950987Z digest=sha256:23ff97e57643197a9ba30ae6631036700fd6c8aa9fe3efb2de4ef88a7d423246

Observation bc9a0953-06c2-4e3e-b7cb-83252682489e · outbound

This paper cites Optimal and adaptive monteiro-svaiter acceleration.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Optimal and adaptive monteiro-svaiter acceleration

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.264152Z

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=2026-08-09T13:53:05.956605Z digest=sha256:9bd7c162f80fda0a4d89f77cd9710fa2ea674249fbc8b434be234f6a5118b7a0

Observation 00be4267-090c-44c1-b9c5-c1c11d4bc238 · outbound

This paper cites T., Liu, D., Sidford, A., and Tian, K.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications T., Liu, D., Sidford, A., and Tian, K

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.242896Z

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=2026-08-09T13:53:05.962826Z digest=sha256:da7702c9b0a5616803fe071f6891834ae3ab0e0d07dbe301fbe65821a129771b

Observation 1d570e11-59b3-4edd-a495-ff7660aaa859 · outbound

This paper cites R., Gould, N.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications R., Gould, N

Reference 18

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no resolver link, observed 2026-08-09T13:53:05.968455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:05.968455Z digest=sha256:ccaa957ff69df39cb25925f99968d7fc11e9cb3c16d7414a68e1a68cc30fe170

Observation 9e416bbe-b453-40bd-89a7-2c2a760898ea · outbound

This paper cites Recent theoretical advances in non-convex optimization.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Recent theoretical advances in non-convex optimization

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.224056Z

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=2026-08-09T13:53:05.978366Z digest=sha256:9c52e34db08cca3878abe6a05c0e22db13c17368aa8d7a9dc767a7f936bfad6c

Observation e9a2c513-b202-47ae-8c76-0f71c017f890 · outbound

This paper cites N., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S., and Bengio, Y.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications N., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S., and Bengio, Y

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.205283Z

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=2026-08-09T13:53:05.983871Z digest=sha256:58689aa75bbd2b7cf5e8ee92cc0a84b41b2aa4ba94162bf26351e658721ec527

Observation e4475c90-805b-4aae-8929-eec5900c04aa · outbound

This paper cites T., Tran, N.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications T., Tran, N

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.187596Z

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=2026-08-09T13:53:05.990081Z digest=sha256:99a58e28eb9123377111d783c6b7983f4b201c71c5ef5e9c732823d563dcd65e

Observation 544b9da2-0684-44aa-9467-fe7a973279c6 · outbound

This paper cites Porcupine Neural Networks: (Almost) All Local Optima are Global.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Porcupine Neural Networks: (Almost) All Local Optima are Global

Reference 22

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no resolver link, observed 2026-08-09T13:53:05.995631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:05.995631Z digest=sha256:afce44f7f514f1782b0f5580f478be14a791c71804a821257999ab94601a7bc9

Observation 3f61c680-26ba-4c1a-8eac-db3050d3c6f7 · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Sharpness-aware minimization for efficiently improving generalization

Reference 23

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no resolver link, observed 2026-08-09T13:53:06.003015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.003015Z digest=sha256:e2501b6524d63830a7f18c62443b18dbb8545c48e9b0ffa887727ba891c27240

Observation 562b734e-8fe6-490b-be4c-94538cad8bdf · outbound

This paper cites Handbook of Convergence Theorems for (Stochastic) Gradient Methods.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 24

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no resolver link, observed 2026-08-09T13:53:06.008336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.008336Z digest=sha256:5d3b44ca347f8f1a453f0d4ec126e6a1fe4e7741014279e07bdad9d78405fbab

Observation 7b662a4f-58f9-4420-862a-96f34cc04706 · outbound

This paper cites No spurious local minima in nonconvex low rank problems: A unified geometric analysis.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications No spurious local minima in nonconvex low rank problems: A unified geometric analysis

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.154495Z

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=2026-08-09T13:53:06.019131Z digest=sha256:e3120de1b9c68b3080289e499054890f37766511f718696984696ca73e98086c

Observation fcf609ca-58ef-49cc-95a4-cd9c934312d1 · outbound

This paper cites P., Li, Z., and Richt \'a rik, P.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications P., Li, Z., and Richt \'a rik, P

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.135461Z

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=2026-08-09T13:53:06.025266Z digest=sha256:a1924c241159afc5f450ceae3de3d680164f39ddc709b0f40e0409c1cacdaa41

Observation 1901f0f9-df1f-4c9a-8e8b-3fdd712a16e2 · outbound

This paper cites M., Schmidt, M., Bach, F., and Richt \'a rik, P.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications M., Schmidt, M., Bach, F., and Richt \'a rik, P

Reference 27

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raw_fallback, observed 2026-08-09T13:53:08.116688Z

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=2026-08-09T13:53:06.030111Z digest=sha256:e396b5805181dc5bc3be39958db51b712b5b3b0983341335c7b7cca0f236d8f5

Observation cb37c015-38c4-40da-b135-1827c38d3f92 · outbound

This paper cites EF21-P and friends: Improved theoretical communication complexity for distributed optimization with bidirectional compression.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications EF21-P and friends: Improved theoretical communication complexity for distributed optimization with bidirectional compression

Reference 28

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raw_fallback, observed 2026-08-09T13:53:08.098070Z

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=2026-08-09T13:53:06.035682Z digest=sha256:87c0988ac6fa807d82b4e638f98cb5c3186f6c8cdfcbc7bff241d5ea905463df

Observation ceb36696-415e-4859-aa1f-417e647c90e4 · outbound

This paper cites On the convergence of the proximal point algorithm for convex minimization.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications On the convergence of the proximal point algorithm for convex minimization

Reference 29

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doi, observed 2026-08-09T13:53:06.585038Z

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=2026-08-09T13:53:06.041324Z digest=sha256:00548bb20244162e4318b611f38f7badd8f1d8f5016c231aa1261b1185ff4959

Observation e5c03096-bbbb-4cc3-b331-2a7dcaabe9f4 · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-09T13:53:08.078144Z

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=2026-08-09T13:53:06.047242Z digest=sha256:4e16755592265ec65590afd77f341ec6efcf56a1c52076f930e154e4f180f400

Observation 9b1f0e3b-5979-40a0-823c-6c95602593de · outbound

This paper cites Gradient descent learns linear dynamical systems.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Gradient descent learns linear dynamical systems

Reference 31

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no resolver link, observed 2026-08-09T13:53:06.051770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.051770Z digest=sha256:e797f04a06a0bfdb9fd573a641620f7cec11b29a5c20235ab43546e9b835e9c7

Observation 10487837-7983-4aab-98ae-8d661c9f63b7 · outbound

This paper cites Beyond convexity: Stochastic quasi-convex optimization.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Beyond convexity: Stochastic quasi-convex optimization

Reference 32

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no resolver link, observed 2026-08-09T13:53:06.056347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.056347Z digest=sha256:9ccd52ec94570167c934eb2af18e6c40f1f26982985d5e4d39b7cdc94d8040c7

Observation 8ba9682d-9c94-44d4-91ec-74b0dff18c46 · outbound

This paper cites Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond

Reference 33

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local_arxiv, observed 2026-08-09T13:53:07.102231Z

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=2026-08-09T13:53:06.061851Z digest=sha256:18412d0100eaf4e241cb5165133493fe8c2ba5e976ac511032e83f3c8cdba624

Observation 47b95590-d0b5-4e95-b70d-e18acadf2c7a · outbound

This paper cites Adaptive Learning Rates for Faster Stochastic Gradient Methods.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Adaptive Learning Rates for Faster Stochastic Gradient Methods

Reference 34

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no resolver link, observed 2026-08-09T13:53:06.068984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.068984Z digest=sha256:ed45b48b31f2a2942f3e4a5e6994f2086f823f1c0cfb350445f4aafccc0f42c8

Observation d5bc1ea6-bf17-415d-9551-0a1637b7852f · outbound

This paper cites Closing the computational-query depth gap in parallel stochastic convex optimization.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Closing the computational-query depth gap in parallel stochastic convex optimization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.037405Z

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=2026-08-09T13:53:06.076658Z digest=sha256:866c11609c9d4188dceadc6fec4076a2868439a1b31f1ff560e3724f335696c1

Observation a34f8beb-54ab-48dc-8377-c2e69a0b0c3a · outbound

This paper cites M., and Jordan, M.

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

Reference 36

Resolution
verified exact
doi, observed 2026-08-09T13:53:06.550988Z

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=2026-08-09T13:53:06.082670Z digest=sha256:21f28d7d909b0e42a06afd217040fa88034f644f2071aa3177d82e27d24cd87d

Observation 20888d40-6552-41cb-9502-770e3924c477 · outbound

This paper cites and Zhang, T.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Zhang, T

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.088593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.088593Z digest=sha256:5d2401d49f703d94eea06e4be63bcd7df6cbf049eea31702c189d0d601bb2c51

Observation 79a8bec1-52b7-4147-a63f-1394caaef3b1 · outbound

This paper cites Linear convergence of gradient and proximal-gradient methods under the P olyak- ojasiewicz condition.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Linear convergence of gradient and proximal-gradient methods under the P olyak- ojasiewicz condition

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:08.007007Z

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=2026-08-09T13:53:06.094730Z digest=sha256:b0432529d146a4336b03b2c507a2b8ef2b9c25ad78a07fb0dccc2b88b7b0c44a

Observation 860b57fe-4128-4184-8022-48cbc3e01d03 · outbound

This paper cites Faster federated optimization under second-order similarity.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Faster federated optimization under second-order similarity

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.101921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.101921Z digest=sha256:2864d46b4aeae25acf7fb7b2a8bdffc75e9545f63cdefc5fbd694589fb15f481

Observation 91fde719-9efb-43c7-8d97-927efbeb484a · outbound

This paper cites Distributed learning with compressed gradients.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Distributed learning with compressed gradients

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.107911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.107911Z digest=sha256:c1743c6e2c382299559bfb0e3f77b7a9b0321e4c274ca18b9f5b3f7bc589744c

Observation 8ca7df76-f1b5-4352-9192-e011aa065d8c · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:53:07.986056Z

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=2026-08-09T13:53:06.114838Z digest=sha256:7d8ee50f8a86a81e4b8b566243200d798f648314b80f1ca0193c4a1f3c3a507f

Observation e8da4e90-e267-4370-a8dc-26cbfd0e1695 · outbound

This paper cites An alternative view: When does SGD escape local minima? In International conference on machine learning, pp.\ 2698--2707.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications An alternative view: When does SGD escape local minima? In International conference on machine learning, pp.\ 2698--2707

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.963674Z

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=2026-08-09T13:53:06.121222Z digest=sha256:bf6a83640be150cf5a0c4a4db2734be2eeb6b4a7cc8190327056aaf67b783db5

Observation 0b1a8b13-2538-47fa-a26e-affda56f1edb · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:53:07.942512Z

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=2026-08-09T13:53:06.128456Z digest=sha256:d94328b0a8ead0cea26bfa871e59ad211d8bb9d66f7f929582981f584c3b8115

Observation af4b1989-10b7-4127-b31e-1fffd43fe659 · outbound

This paper cites A method for the solution of certain non-linear problems in least squares.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications A method for the solution of certain non-linear problems in least squares

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.921842Z

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=2026-08-09T13:53:06.136683Z digest=sha256:ec534ee78990b517a94c63bc5bb7c898346e87b4f1e8f6255a544d4f1ceb26b5

Observation 9ee15e7e-0592-4f0b-a8c8-d641a70aa0f5 · outbound

This paper cites and Richt \'a rik, P.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Richt \'a rik, P

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.894579Z

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=2026-08-09T13:53:06.147830Z digest=sha256:238f030d3073bb93a273caeaa93d1741422e30abb14fbb0d7589ba3f74ca5d53

Observation 4de51e25-124a-429e-957a-aceb92c0d139 · outbound

This paper cites Variance Reduced Distributed Non-Convex Optimization Using Matrix Stepsizes.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Variance Reduced Distributed Non-Convex Optimization Using Matrix Stepsizes

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-09T13:53:06.987046Z

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=2026-08-09T13:53:06.154235Z digest=sha256:242d17371291c2b3bf1ac4af714d69a8cd814dae87cd928f9804bb239d6b812f

Observation 8f4b53b5-215e-42c0-b92e-7b1cb76579ff · outbound

This paper cites The Power of Extrapolation in Federated Learning.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications The Power of Extrapolation in Federated Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.160330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.160330Z digest=sha256:a76cbbcc067fec4b13514042a56412e26c090db1b3ec547b08791b609c95ae5a

Observation 13c91b0f-2bcb-43e1-9060-89d7bc260c58 · outbound

This paper cites Det-CGD : Compressed gradient descent with matrix stepsizes for non-convex optimization.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Det-CGD : Compressed gradient descent with matrix stepsizes for non-convex optimization

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.873452Z

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=2026-08-09T13:53:06.168812Z digest=sha256:d810609c21641113da8da1b519c87effaaea6c8f30ab7e1710e0e1e73d0d19d6

Observation faf68ea0-c8cd-4327-b02f-76c5bf3f5f1a · outbound

This paper cites An improved analysis of stochastic gradient descent with momentum.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications An improved analysis of stochastic gradient descent with momentum

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.176679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.176679Z digest=sha256:8225ff119fdd77752f94c256d0ad1aa1103d689e0037c7ed88ec2db336e5ae36

Observation 0ba74175-bbcd-4b32-9a06-24162f8b5b09 · outbound

This paper cites Linearly convergent stochastic heavy ball method for minimizing generalization error.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Linearly convergent stochastic heavy ball method for minimizing generalization error

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.182505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.182505Z digest=sha256:445626c8392ec6f98545160d8baef7a816141fab9eaeed975075a28eb4630de1

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

This paper cites Adaptive Gradient Descent without Descent.

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:bb58d9d6c2e910a07318f3a836796b67a2ec21a10d916e343630984c2f80d932

Observation 999961e9-6e8f-4253-95c1-e2d3c8ce9760 · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:53:07.836328Z

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=2026-08-09T13:53:06.196703Z digest=sha256:3e0942442605a8c58f39c07e5727cbb2976b17d1a643b68fa24c030a14b1543f

Observation 013b4181-fd86-4c54-810a-00a2a2cf5f54 · outbound

This paper cites R \'e gularisation d'in \'e quations variationnelles par approximations successives.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications R \'e gularisation d'in \'e quations variationnelles par approximations successives

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.817871Z

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=2026-08-09T13:53:06.203973Z digest=sha256:742820c5eb1e608dad0ead71aaa3116f61a4315d2e1d4d3d91dcf1f826cb6281

Observation f82c6c55-3c52-4bfb-b6de-5de39bfb9515 · outbound

This paper cites Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.210219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.210219Z digest=sha256:bc17709512c6975d5915c38cb30ca1d8ef5a9723ccd911523698becdfd77063c

Observation 20da2f50-c950-46f4-ad39-eafab19ed6c4 · outbound

This paper cites and Smutnicki, C.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Smutnicki, C

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.798369Z

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=2026-08-09T13:53:06.217917Z digest=sha256:a8407f0657a6c92ed48de1b41431325b22a51399070668ff39d0a5d2e941cb10

Observation 078732a8-7fff-4ef8-99cc-8dd81cfe8142 · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.227639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.227639Z digest=sha256:4d1303121b7184dbef481423a8e8757edb334cd0e9e3e0a581262f19ad6cea73

Observation 4a862e2c-f615-447e-821b-720607c8f3de · outbound

This paper cites Proximit \'e et dualit \'e dans un espace H ilbertien.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Proximit \'e et dualit \'e dans un espace H ilbertien

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.777173Z

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=2026-08-09T13:53:06.235000Z digest=sha256:b751f686d65d2f1f5d74ea5e558904617e1613fb5fe7d0d7972931774432216f

Observation 07592eb3-52c2-4266-89ef-35244df83078 · outbound

This paper cites Revisiting normalized gradient descent: Fast evasion of saddle points.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Revisiting normalized gradient descent: Fast evasion of saddle points

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.757687Z

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=2026-08-09T13:53:06.241778Z digest=sha256:c41772f905375ccb87d95636c05c2f374f7a0b5fe6e1a86419d5d1162523b63b

Observation 8f8597ec-ce1d-4302-998a-29714b542331 · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:53:07.738134Z

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=2026-08-09T13:53:06.247820Z digest=sha256:fba78ed6780c88f9ce3b6e4942db36f05be1d27708ee8b658b6cbf9514806e11

Observation 88d339ff-cf23-48eb-b2c9-bd2bf4cdcbc1 · outbound

This paper cites and Nesterov, Y.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Nesterov, Y

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.716733Z

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=2026-08-09T13:53:06.254850Z digest=sha256:088d940a609b297254b5a22155d1d38274ff9d187891a0bdda07198519652282

Observation be00064b-86e4-439c-8b53-ad87515d80fd · outbound

This paper cites and Yudin, D.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Yudin, D

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.697064Z

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=2026-08-09T13:53:06.260746Z digest=sha256:c9b89d920688e3b35daa37f66cbe46e0dbbff826c4363fa6665183e180c8eb92

Observation 16cbfd4b-169b-4e0b-a689-70b57bd987cd · outbound

This paper cites Introductory lectures on convex optimization: A basic course, volume 87.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Introductory lectures on convex optimization: A basic course, volume 87

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.677298Z

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=2026-08-09T13:53:06.267754Z digest=sha256:6fa01bea2048c965861fce812a7611db04023398bdcb68e2fbc28a54cb435775

Observation 604a808c-6097-4c08-abcb-5482501c9ad2 · outbound

This paper cites Inexact accelerated high-order proximal-point methods.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Inexact accelerated high-order proximal-point methods

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.658244Z

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=2026-08-09T13:53:06.273396Z digest=sha256:f1680c9882ba2852a5e4f4a71d309278e5b41005bbe8a43a3624828008af422c

Observation 750c1bbb-ed13-4284-b757-feaf0ac56b3b · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:53:07.634517Z

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=2026-08-09T13:53:06.279347Z digest=sha256:071b9098d66dbebf3fa4ca29ff1741dd0b7ff15b65394549b51c0ccaf688a28b

Observation 6b3bceea-205b-46fb-b15d-fdb87283a5fd · outbound

This paper cites and Wright, S.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Wright, S

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.609832Z

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=2026-08-09T13:53:06.285081Z digest=sha256:b3348b45f5656fd1ae124fc808099d4eb7c15f40b4c1e63f1462e02cb5f7dcfa

Observation e4e6a829-16ee-4aa2-b130-080c46ef81ab · outbound

This paper cites and Boyd, S.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Boyd, S

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.290973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.290973Z digest=sha256:980645ae8a388fe86fe708f0ca324c15e3c50c219fc5a85eba36edfc571af2f9

Observation e1019bc8-490c-4ce5-b06c-c9b2c65c129e · outbound

This paper cites and Wang, X.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Wang, X

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.588953Z

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=2026-08-09T13:53:06.298449Z digest=sha256:c035deaf5c27ab943763b594aa3e3a44301cec97a8b049ed16e031acfabfa8ed

Observation 24bc6cac-b9c9-4c3b-a4c4-3e9b31749ec1 · outbound

This paper cites and Wang, X.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Wang, X

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.564961Z

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=2026-08-09T13:53:06.304203Z digest=sha256:03b3c6d0f40c645a42c9fe0be5a1efbc3a4cf363b13f758ac413d4bace2a785c

Observation 92c9daf4-2bcc-4ba9-be9d-10d33a308551 · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:53:07.544207Z

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=2026-08-09T13:53:06.311407Z digest=sha256:0a80638ee484484ba7fe954f0f5c9a44479ee1e66a3d218dcdcfb8f757927c61

Observation c43b0b46-5e73-46ba-8e1a-827f2a55c033 · outbound

This paper cites EF21 : A new, simpler, theoretically better, and practically faster error feedback.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications EF21 : A new, simpler, theoretically better, and practically faster error feedback

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.515863Z

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=2026-08-09T13:53:06.318952Z digest=sha256:79569306097984c016ba6b549a62624e5e5fdfbeaf7d5a544ea89c47416729a2

Observation 6c1aeaee-c8e5-4f37-9ac1-6ff21289f70f · outbound

This paper cites A Unified Theory of Stochastic Proximal Point Methods without Smoothness.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications A Unified Theory of Stochastic Proximal Point Methods without Smoothness

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.325449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.325449Z digest=sha256:f50dde2193c5b49cfe5ebf6cfa2196d77355bd187fe21f0e6f53e2f351c3e416

Observation b43faa26-0f35-40f8-aff4-18f9a2d310ff · outbound

This paper cites and Monro, S.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Monro, S

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.332422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.332422Z digest=sha256:00891525672ea2ef9be1555233cee16ed950b02a7d03d58a70bf6390853b1b61

Observation da7dcec0-ab72-4185-b33b-ac879d9e82b8 · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:53:07.475188Z

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=2026-08-09T13:53:06.340634Z digest=sha256:1eb54283ed562defe6d873cf15a1605e894ac8624cec0783b3d7e4a8b6b4d218

Observation 8ff31c49-5aa8-45e8-9f96-88316013e3d6 · outbound

This paper cites an unresolved cited work.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:53:07.449714Z

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=2026-08-09T13:53:06.348109Z digest=sha256:cf8bd5b5edfb3eba8e3460d2f6e342c9771a5e571f7b5d379ed306e867ae4359

Observation 74cf3ce1-7aa5-467b-9f70-dad532ed6976 · outbound

This paper cites and Zhang, T.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Zhang, T

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.418116Z

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=2026-08-09T13:53:06.360848Z digest=sha256:1a423d8a02563afd774adef36d681f3282292a131c4c321254cf5a82bf4afaee

Observation 25f9a584-7133-48e2-b148-feec1eb5d5fb · outbound

This paper cites Effects of depth, width, and initialization: A convergence analysis of layer-wise training for deep linear neural networks.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Effects of depth, width, and initialization: A convergence analysis of layer-wise training for deep linear neural networks

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.393817Z

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=2026-08-09T13:53:06.367697Z digest=sha256:e5fc21aa0158de4d55033dd23c2c6c689e6cd12d5184f992d72b90103f410348

Observation e90b3f2f-e975-4859-85f0-aae409847b70 · outbound

This paper cites and Richt \'a rik, P.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Richt \'a rik, P

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.369184Z

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=2026-08-09T13:53:06.376998Z digest=sha256:382ee156c83e7f36656b56dfd07ebab056a8ef63aa979af86912fc7b6ef05496

Observation 5fc10890-6ead-4a6e-a712-1460f8a1e713 · outbound

This paper cites Adversarial flows: A gradient flow characterization of adversarial attacks.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Adversarial flows: A gradient flow characterization of adversarial attacks

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.384177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.384177Z digest=sha256:4f3b03868ef35639f2b74be6323b33d65cea099498cc2581112279c54913a0db

Observation b1a2d59e-c9ff-44ce-b264-647f1f6cae9d · outbound

This paper cites and Ma, L.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications and Ma, L

Reference 79

Resolution
verified exact
doi, observed 2026-08-09T13:53:06.484437Z

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=2026-08-09T13:53:06.390227Z digest=sha256:1cef44f484c17352008a988a2cbaa3a40325dd5e620f26ac5f91f1266d915f87

Observation 9efe2696-a607-4661-bf1a-dd5036aaca12 · outbound

This paper cites Why gradient clipping accelerates training: A theoretical justification for adaptivity.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Why gradient clipping accelerates training: A theoretical justification for adaptivity

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.399894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.399894Z digest=sha256:015efea02e28712dfd55134d5de2a26a855c38cb8f91a14d55b8ce09bf2f8746

Observation 1c36d043-2501-420b-b925-861995a7818c · outbound

This paper cites Toward understanding the importance of noise in training neural networks.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Toward understanding the importance of noise in training neural networks

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.346145Z

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=2026-08-09T13:53:06.407028Z digest=sha256:6832a76e51128d8851fb67a6007d23dd75ce2274d5e261d2451684e627f08a50

Observation b6b5ae76-6942-4e92-8f56-fcb13ab5a7bb · outbound

This paper cites SGD Converges to Global Minimum in Deep Learning via Star-convex Path.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications SGD Converges to Global Minimum in Deep Learning via Star-convex Path

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.413349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.413349Z digest=sha256:b8cc4cbf9e91802e0417c0f682709b6a31733abe534022b5940d856534bd1f53

Observation 3bededea-d711-4993-8774-dca5189911e3 · outbound

This paper cites Understanding A dam W through proximal methods and scale-freeness.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Understanding A dam W through proximal methods and scale-freeness

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:53:07.318819Z

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=2026-08-09T13:53:06.424201Z digest=sha256:6aa2ddc9ad2004e68e1a877994f7673159953e7fc4af0e31953da7c16b88becf

Pith citing papers

Observation 403478f8-df3f-4331-bb66-d175690e9265 · inbound

A smoothing moving balls approximation method for a class of conic-constrained difference-of-convex optimization problems cites this paper.

A smoothing moving balls approximation method for a class of conic-constrained difference-of-convex optimization problems The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:46:41.264288Z

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=2026-05-22T14:45:40.105955Z digest=sha256:8593445b649af337a4fa8d4a729354a6d3c496e40f8c265423b56492386abb81

Observation 7cd9253b-ac34-444e-ac58-ee32387f06c5 · inbound

A smoothing moving balls approximation method for a class of conic-constrained difference-of-convex optimization problems cites this paper.

A smoothing moving balls approximation method for a class of conic-constrained difference-of-convex optimization problems The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:30.617748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:30.617748Z digest=sha256:0de91a88bbb305eed798d03f27b60531f217e13b89c4d000bb4958b2169a4c1e

Observation 476b967b-6f54-47eb-8660-40dbec168ee3 · inbound

Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs) cites this paper.

Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs) The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:20:53.768260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:20:53.768260Z digest=sha256:2d0b66d3bbccb3222b3949519fd9499e7763a348f847a095b0a6310377411222

Observation 54e23438-7902-44f7-b5e6-16cb45506c53 · inbound

Stabilized Proximal Point Method via Trust Region Control cites this paper.

Stabilized Proximal Point Method via Trust Region Control The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:33:06.570146Z

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=2026-05-13T18:31:22.573491Z digest=sha256:a8ae738e7a57c9f8859136b7247db2335a949576ea61661ac15ece4132664da2

Observation a58a6215-de72-4a6c-bf0d-f71be83c80a2 · inbound

Ball-proximal point method on a Hadamard Manifolds cites this paper.

Ball-proximal point method on a Hadamard Manifolds The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:26:18.195987Z

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=2026-05-07T15:19:10.621991Z digest=sha256:3121b723c9a9d5fad55c4b78b1e72226c6c3cbff1f890ded7f207bba3259cf76

Observation 40aa9008-d05e-4f71-becc-688934430caa · inbound

Local LMO: Constrained Gradient Optimization via a Local Linear Minimization Oracle cites this paper.

Local LMO: Constrained Gradient Optimization via a Local Linear Minimization Oracle The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:29.073119Z

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=2026-05-12T01:18:15.063363Z digest=sha256:a566437d4237c8c51d43b4670f781061005856b3c67209b6b157479d40ed3d6c

Observation 04ecf72a-d389-45a2-82db-d8559bb02907 · inbound

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity cites this paper.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.833454Z

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=2026-05-14T19:31:12.149482Z digest=sha256:1bc6e99fd66c77fbf19b5a48b596213553dfd0fd5849e92ee6f56db12fc1c010