Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming | Paper Citation Record

Observation e7e56dcb-b539-417e-8979-46bc94832e60 · outbound

This paper cites Al-Mohy and Nicholas J.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Al-Mohy and Nicholas J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:14.146854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f586cfdd-2cfb-443f-b470-cc51e6403eeb · outbound

This paper cites Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.096654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59634183-54fe-4b55-a7a7-5edbac06bef5 · outbound

This paper cites Near-linear time approximation al- gorithms for optimal transport via sinkhorn iteration.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Near-linear time approximation al- gorithms for optimal transport via sinkhorn iteration

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:13.979999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 226c7617-b6f1-47ba-b6ff-3de16a99f818 · outbound

This paper cites The multiplicative weights update method: a meta-algorithm and applications.Theory of computing, 8(1):121–164, 2012.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming The multiplicative weights update method: a meta-algorithm and applications.Theory of computing, 8(1):121–164, 2012

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:13.824399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f233f82-c8bd-4c0f-8812-a801f4fdd81d · outbound

This paper cites SIAM, 2017.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming SIAM, 2017

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.111068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca2a797-54d6-4be1-9c59-8276375c8bcd · outbound

This paper cites Mirror descent and nonlinear projected subgradient methods for convex optimization.Operations Research Letters, 31(3):167–175, 2003.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Mirror descent and nonlinear projected subgradient methods for convex optimization.Operations Research Letters, 31(3):167–175, 2003

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.116042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbd63e0-66bd-4df6-806c-378a3b6ce987 · outbound

This paper cites Boumal, B.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Boumal, B

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:13.662218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 93f4023f-881c-4eeb-b80f-8b48a6611fe6 · outbound

This paper cites Boyd and L.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Boyd and L

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:13.543343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f8ae18c-262b-4822-9fb2-976a7364f0d4 · outbound

This paper cites SIAM Studies in Applied Mathematics.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming SIAM Studies in Applied Mathematics

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:13.377985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e57729e5-8f9d-4215-bbc2-15f63c69d8ca · outbound

This paper cites an unresolved cited work.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.135098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af06798d-049c-40c2-805e-ff85162802e0 · outbound

This paper cites Remainder terms for some quantum entropy inequalities.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Remainder terms for some quantum entropy inequalities

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:13.194147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5756ca63-3f36-4d82-a2af-f032c85ade95 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information processing systems, 26, 2013.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information processing systems, 26, 2013

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.150649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfab7d89-50fc-438a-91b6-5995a4b5a846 · outbound

This paper cites Distinguishing separable and entangled states.Physical Review Letters, 88(18):187904, 2002.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Distinguishing separable and entangled states.Physical Review Letters, 88(18):187904, 2002

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.160434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae8a6fee-5f78-4351-9f8a-bfb50e3aff17 · outbound

This paper cites Driscoll, Nicholas Hale, and Lloyd N.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Driscoll, Nicholas Hale, and Lloyd N

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:13.040905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 35f9607d-2da9-487a-b790-9307bf406009 · outbound

This paper cites Computational optimal trans- port: Complexity by accelerated gradient descent is better than by sinkhorn algorithm.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Computational optimal trans- port: Complexity by accelerated gradient descent is better than by sinkhorn algorithm

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:12.865614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 617cb15a-46d4-4730-9626-b7d35b9579a1 · outbound

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

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.182515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c71b7f41-326d-4447-99a1-68fb08f438bb · outbound

This paper cites De Gruyter, 2nd edition, 2011.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming De Gruyter, 2nd edition, 2011

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:12.705181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb64a183-71c3-48f4-8e4b-a66157b2aad4 · outbound

This paper cites Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming.Journal of the ACM (JACM), 42(6):1115–1145, 1995.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming.Journal of the ACM (JACM), 42(6):1115–1145, 1995

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.196375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 520e0e31-f3c5-41e8-98b6-678d7cedd231 · outbound

This paper cites Golub and Charles F.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Golub and Charles F

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.205337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7ddd25e-0504-48c4-8125-dfb6e055032a · outbound

This paper cites A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines.Communications in Statistics-Simulation and Computation, 18(3):1059– 1076, 1989.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines.Communications in Statistics-Simulation and Computation, 18(3):1059– 1076, 1989

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.212799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9de31570-a7e4-43e2-9780-a1d9e3543349 · outbound

This paper cites Onthedualityofstrongconvexityand strong smoothness: Learning applications and matrix regularization.Unpublished Manuscript, http://ttic.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Onthedualityofstrongconvexityand strong smoothness: Learning applications and matrix regularization.Unpublished Manuscript, http://ttic

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:12.518711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fd3233f-8b2c-40e3-93af-d625de9ecae6 · outbound

This paper cites an unresolved cited work.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:55:12.338276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac635384-3f06-4456-a6ac-b671f9084f35 · outbound

This paper cites Entropy Penalized Semidefinite Programming.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Entropy Penalized Semidefinite Programming

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:55:08.582843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1adf6af-4169-4cab-8041-9cb97fed08b2 · outbound

This paper cites Learning the kernel matrix with semidefinite programming.Journal of Machine Learning Research, 5:27–72, 2004.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Learning the kernel matrix with semidefinite programming.Journal of Machine Learning Research, 5:27–72, 2004

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:12.163178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc87e157-4c80-492d-b582-1a00d8e9cd40 · outbound

This paper cites Fastcomputation of optimal transport via entropy-regularized extragradient methods, 2024.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Fastcomputation of optimal transport via entropy-regularized extragradient methods, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:11.977471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d8a50e9-708c-406c-9a7c-046a0168c530 · outbound

This paper cites Variational embedding for quantum many-body problems.Com- munications on Pure and Applied Mathematics, 75(9):2033–2068, 2022.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Variational embedding for quantum many-body problems.Com- munications on Pure and Applied Mathematics, 75(9):2033–2068, 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:11.779654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 816edafa-2b35-4e69-abc6-648e1c4bb132 · outbound

This paper cites On the efficiency of entropic regularized algorithms for optimal transport.Journal of Machine Learning Research, 23(137):1–42, 2022.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming On the efficiency of entropic regularized algorithms for optimal transport.Journal of Machine Learning Research, 23(137):1–42, 2022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:11.595977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59b00159-c77f-46d5-b707-03072ef044a5 · outbound

This paper cites Fast randomized entropically regularized semidefinite programming.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Fast randomized entropically regularized semidefinite programming

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.250279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10db11f5-317c-4044-a805-769f34e3176f · outbound

This paper cites Fast entropy-regularized SDP relaxations for permutation synchronization.In preparation, 2025.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Fast entropy-regularized SDP relaxations for permutation synchronization.In preparation, 2025

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:11.393367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5a98084-6943-437a-9628-a6c2c7468111 · outbound

This paper cites an unresolved cited work.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:55:11.173432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f0d3288-f83f-4335-9781-746eaf5cd26d · outbound

This paper cites Hutch++: Optimal stochastic trace estimation.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Hutch++: Optimal stochastic trace estimation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:11.009670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca625230-dbaa-4173-97fc-1def1ed040f5 · outbound

This paper cites Problem complexity and method efficiency in optimization.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Problem complexity and method efficiency in optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.364172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 698ad39d-f8a2-41ac-b201-7e019d5ff841 · outbound

This paper cites Nielsen and I.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Nielsen and I

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:10.800713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f0461c41-cbbd-4730-b878-43b0c1ffdb57 · outbound

This paper cites Solving the multi-way matching problem by permutation synchronization.Advances in neural information processing systems, 26, 2013.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Solving the multi-way matching problem by permutation synchronization.Advances in neural information processing systems, 26, 2013

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:10.619814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 514a09ee-2256-4c7e-8d34-29ec2248c259 · outbound

This paper cites PhD thesis, California Institute of Technology, 2000.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming PhD thesis, California Institute of Technology, 2000

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.643872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56eec533-fd21-4685-a669-40f98b15310e · outbound

This paper cites Logarithmically sparse symmetric matrices.Beiträge zur Algebra und Geome- trie/Contributions to Algebra and Geometry, pages 1–16, 2024.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Logarithmically sparse symmetric matrices.Beiträge zur Algebra und Geome- trie/Contributions to Algebra and Geometry, pages 1–16, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:10.417028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9968ce7b-d408-4f28-814d-4b86983c98be · outbound

This paper cites Gibbs manifolds.Information Geometry, 7(Suppl 2):691–717, 2024.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Gibbs manifolds.Information Geometry, 7(Suppl 2):691–717, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:10.297847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76db2d27-6277-4cb5-b890-4b714d7ff8c4 · outbound

This paper cites Computational optimal transport: With applications to data science.Foundations and Trends®in Machine Learning, 11(5-6):355–607, 2019.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Computational optimal transport: With applications to data science.Foundations and Trends®in Machine Learning, 11(5-6):355–607, 2019

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:07.802009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de95debb-abb1-4e00-8b1f-a22c9ff998c9 · outbound

This paper cites Entropic estimation of optimal transport maps, 2024.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Entropic estimation of optimal transport maps, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:10.109960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8914f51-cbdd-4724-90dd-2028356406b4 · outbound

This paper cites Coordinate methods for acceleratingℓ∞ regression and faster approximate maximum flow.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Coordinate methods for acceleratingℓ∞ regression and faster approximate maximum flow

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:09.944092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f3dde6f2-4066-4dfd-b192-85c5622fc71e · outbound

This paper cites SIAM, 2019.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming SIAM, 2019

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:09.790078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99e32a4d-4add-4e6d-82fb-792822202c28 · outbound

This paper cites Mathematische grundlagen der quantenmechanik.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Mathematische grundlagen der quantenmechanik

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:09.607580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc22d808-87a9-429d-99b4-06fd55e5b0af · outbound

This paper cites An explicit analysis of the entropic penalty in linear programming.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming An explicit analysis of the entropic penalty in linear programming

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:09.436595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 970c9084-32a6-4d6a-9680-d88771f7253d · outbound

This paper cites Distance metric learning for large margin nearest neighbor classification.Journal of Machine Learning Research, 10:207–244, 2009.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Distance metric learning for large margin nearest neighbor classification.Journal of Machine Learning Research, 10:207–244, 2009

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:09.288977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ce98cbb-6cb9-44b9-8f1b-eb82cf3e4cd5 · outbound

This paper cites Tropp, Olivier Fercoq, Madeleine Udell, and Volkan Cevher.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Tropp, Olivier Fercoq, Madeleine Udell, and Volkan Cevher

Reference 45

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:55:09.135145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbdb0c90-d7bc-4023-9305-7e85edb57fe8 · outbound

This paper cites an unresolved cited work.

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:55:08.954812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b2d54e1-f7e6-45fd-b6d9-df839adf93b1 · outbound

This paper cites Step 1.Consider the marginalµ t =π β,λt 1n appearing in (4.8) via the differenceµt −µ(which is the dual gradient with respect toϕ).

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming Step 1.Consider the marginalµ t =π β,λt 1n appearing in (4.8) via the differenceµt −µ(which is the dual gradient with respect toϕ)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:55:08.742780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers