Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:09.465818Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.07351.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:09.465818Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
43 of 43 outbound references displayed
External citation measurements
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Observation eeb2339c-fe80-4a0e-9b19-316c3896c0e9 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Distributed subgradient methods for multi- agent optimization,
Reference 1
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Observation dbe30f42-1ff5-4419-8b46-3549541f5341 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On the convergence of decentralized gradient descent,
Reference 2
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Observation 67883231-44af-4297-8e71-44cb6f34d61d · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Harnessing smoothness to accelerate distributed optimization,
Reference 3
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Observation 08943675-703f-4a93-adbf-2cf657cc0742 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Exact diffusion for distributed optimization and learning—part i: Algorithm development,
Reference 4
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Observation e1af21bc-ef2c-4808-b8c2-888b3baad909 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized proximal gradient algorithms with linear convergence rates,
Reference 5
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Observation 1a32cb79-584e-466f-a538-254347e2cd37 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On the linear convergence of the admm in decentralized consensus optimization,
Reference 6
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2acbaff2-ffd6-4f39-88bf-d1b10d45b921 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Distributed linearized alter- nating direction method of multipliers for composite convex consensus optimization,
Reference 7
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Observation d90b1be0-a070-4b33-85ae-27eb28a6f86d · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized riemannian gradient descent on the stiefel manifold,
Reference 8
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Observation 19d3632d-3cae-47af-99df-5bafacc789d3 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds
Reference 9
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Observation ed722086-1467-43bd-b2a8-381a10e722a6 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized riemannian conjugate gradient method on the stiefel manifold,
Reference 10
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Observation 69517a00-7ddb-440e-8ef9-77f5beaf8e71 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized Riemannian natural gradient methods with Kronecker-product approximations
Reference 11
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Observation 9df5943a-a51f-4e00-bd19-b11c5eb087d6 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Distributed Riemannian Stochastic Gradient Tracking Algorithm on the Stiefel Manifold
Reference 12
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b869794f-0af7-49d0-b382-e324983fa217 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Improving the communication in decentralized manifold optimization through single-step consensus and compression
Reference 13
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Observation f8a9d7c1-40a8-4c5f-8346-42390f597d94 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints
Reference 14
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Observation bac8c661-0d59-405b-914a-1ad37ffaa84a · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Deepca: Decentralized exact pca with linear convergence rate,
Reference 15
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Observation 153ba13c-75b2-4dbb-899b-adf9b28d72c6 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Cloud k-svd: A collaborative dictionary learning algorithm for big, distributed data,
Reference 16
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6c61254a-59fe-4d3e-a1a3-dbd313fbc436 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On orthogonality and learning recurrent networks with long term dependencies,
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c475b345-58f9-4e69-bfd5-4ec49ab32afe · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Orthogonal weight normalization: Solution to optimization over multiple dependent stiefel manifolds in deep neural networks,
Reference 18
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Observation ea21bf9f-b7eb-401d-b1c0-b93d05d4e80f · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Understanding how orthogonality of pa- rameters improves quantization of neural networks,
Reference 19
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5d450411-cd10-4cdd-8b97-27d945fed815 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Distributed asynchronous deterministic and stochastic gradient optimization algorithms,
Reference 20
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Observation 2a3f1236-b89d-4a80-b19a-44fbdd2d2da7 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On distributed nonconvex optimization: Projected subgradient method for weakly convex problems in networks,
Reference 21
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Observation 23d940d6-b880-4de3-804e-75e7b613995f · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Extra: An exact first-order algorithm for decentralized consensus optimization,
Reference 22
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Observation abe8655e-f7d6-45bb-99b0-6f7fee8e5766 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Next: In-network nonconvex optimiza- tion,
Reference 23
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Observation 3480f5db-0a13-48cc-aca9-2ffdbdd4b10d · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On centralized and distributed mirror descent: Convergence analysis using quadratic constraints,
Reference 24
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Observation 089090d0-5d0d-464f-92d3-686e6a335c33 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On the local linear rate of consensus on the stiefel manifold,
Reference 25
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2a9bd1d4-ec9f-47d1-905d-aae16a32751a · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized optimization over the stiefel manifold by an approximate augmented lagrangian function,
Reference 26
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Observation 1ed0d194-c16e-46e0-a272-c0bb094de006 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Fast and accurate optimization on the orthogonal manifold without retraction,
Reference 27
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 203a89c1-42ce-42fc-8359-51a7def3b866 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Design and analysis of distributed averaging with quantized communication,
Reference 28
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Observation 30196b99-69a7-4f2d-a9a5-94d5f6b1d9cd · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking An exact quantized decentralized gradient descent algorithm,
Reference 29
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Observation ff6ef3e8-0211-489f-ac09-a72169409cd9 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Quantized decentralized stochastic learning over directed graphs,
Reference 30
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Observation becfa2d0-25f0-41da-be0a-80516f15e383 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking A linearly convergent algorithm for decentralized optimization: Sending less bits for free!
Reference 31
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Observation 6459e111-56bd-4c60-918e-5668d20acae8 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Linear convergent decentralized optimization with compression,
Reference 32
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Observation 05848a6a-0d14-4a49-9d65-747bdcbf216c · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Quantized distributed gradient tracking algorithm with linear convergence in directed networks,
Reference 33
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Observation 4ad216f5-dc99-4633-a5b3-a4bdf8bedda5 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Absil, R
Reference 34
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Observation 68265437-e4b4-49e7-b3b9-12f838758edc · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking The geometry of algorithms with orthogonality constraints,
Reference 35
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Observation 115bbe4d-b8a1-47d1-8b71-6d5f278423e4 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking A riemannian conjugate gradient method for optimization on the stiefel manifold,
Reference 36
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Observation 14479401-9643-4c89-b7fd-4766d776c581 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Riemannian conjugate gradient methods: General framework and specific algorithms with convergence analyses,
Reference 37
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 72fd9036-5e2d-4c18-8f4e-acc046d8ecfe · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Proximal smoothness and the lower-c2 property,
Reference 38
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dc8bad1f-cfc0-4203-8023-62e347e85923 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking The gradient projection method with armijo’s step size on manifolds,
Reference 39
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a6eb8782-cfb2-44b5-983f-b75af2e82ab8 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking First-order methods for geodesically convex optimization,
Reference 40
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Observation 4a1950dc-92d6-4489-b496-3991a1705fbc · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Equivariant adaptive source separa- tion,
Reference 41
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Observation 41e42e96-0fc9-4e18-9ba3-6a811bc44359 · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Infeasible deterministic, stochastic, and variance-reduction algorithms for optimization under or- thogonality constraints,
Reference 42
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Observation 22221eb2-25bb-4e03-bea0-3bd7d07d910d · outbound
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking The mnist database of handwritten digits,
Reference 43
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No inbound Pith citation observations are available.