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Paper Citation Record · LEDGER

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity

As of 14 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2508.18764.

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

pith.paper-citation-record.v1
2508.18764 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:22:27.451185Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 098c999e-0fe7-4935-a4d8-9e3cdf9e8cf4 · outbound

This paper cites Absil, R.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Absil, R

Reference 1

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Observation 9643840c-4adf-444a-a472-06bd717cb0d0 · outbound

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Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Unresolved cited work

Reference 2

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Observation 1e48e088-97db-4af8-acd5-fd8ed0602ca6 · outbound

This paper cites A dynamical approach to convex minimization coupling approximation with the steepest descent method.Journal of Differential Equations, 128(2):519–540, 1996.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity A dynamical approach to convex minimization coupling approximation with the steepest descent method.Journal of Differential Equations, 128(2):519–540, 1996

Reference 3

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Observation e2671da7-8136-4f29-97be-0d68e144246e · outbound

This paper cites A dynamical approach to an inertial forward-backward algorithm for convex minimization.SIAM Journal on Optimization, 24(1):232–256, 2014.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity A dynamical approach to an inertial forward-backward algorithm for convex minimization.SIAM Journal on Optimization, 24(1):232–256, 2014

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e840037b-8fba-4b21-9d43-82caedbb8c04 · outbound

This paper cites A continuous dynamical newton-like approach to solving monotone inclusions.SIAM Journal on Control and Optimization, 49(2):574–598, 2011.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity A continuous dynamical newton-like approach to solving monotone inclusions.SIAM Journal on Control and Optimization, 49(2):574–598, 2011

Reference 5

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Source-reported events for the cited work

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Observation b258e7fd-dad6-4dec-ae35-069c7d76ff40 · outbound

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

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Mirror descent and nonlinear projected subgradient methods for convex optimization.Operations Research Letters, 31(3):167–175, 2003

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 401dbef7-8b24-4a98-9ad6-853f4ebd51a2 · outbound

This paper cites Birgin, José Mario Martínez, and Marcos Raydan.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Birgin, José Mario Martínez, and Marcos Raydan

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ea4e9f2a-d008-4ba1-b2cd-99ff551022dd · outbound

This paper cites An algorithm, based on singular perturbation theory, for ill-conditioned minimization problems.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity An algorithm, based on singular perturbation theory, for ill-conditioned minimization problems

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 173053b7-4bfa-4fba-8fdc-53a838316ede · outbound

This paper cites The łojasiewicz inequality for nonsmooth subanalytic functions with applications to subgradient dynamical systems.SIAM Journal on Optimization, 17(4):1205–1223, 2007.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity The łojasiewicz inequality for nonsmooth subanalytic functions with applications to subgradient dynamical systems.SIAM Journal on Optimization, 17(4):1205–1223, 2007

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fc13e84f-37da-4832-ad6b-079143686bcd · outbound

This paper cites Proximal alternating linearized minimiza- tion for nonconvex and nonsmooth problems.SIAM Journal on Optimization, 24(3):137–164, 2014.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Proximal alternating linearized minimiza- tion for nonconvex and nonsmooth problems.SIAM Journal on Optimization, 24(3):137–164, 2014

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9e5b6478-891d-49c3-b99f-77c6cc6b3f85 · outbound

This paper cites an unresolved cited work.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Unresolved cited work

Reference 11

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Observation 9ebbd40f-4cc2-484a-8744-2d4e094cfe33 · outbound

This paper cites Absil, and Rodolphe Sepulchre.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Absil, and Rodolphe Sepulchre

Reference 12

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Source-reported events for the cited work

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Observation 85474ac3-a358-4dd2-ba85-cfb3005e5ca0 · outbound

This paper cites A fast non-negativity-constrained least squares algorithm.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity A fast non-negativity-constrained least squares algorithm

Reference 13

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Observation e9bd355e-9a18-4abd-96b8-e2cea90b1f81 · outbound

This paper cites Some effective methods for uncon- strained optimization based on the solution of systems of ordinary differential equations.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Some effective methods for uncon- strained optimization based on the solution of systems of ordinary differential equations

Reference 14

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Source-reported events for the cited work

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Observation 633188e3-9e2b-4ee1-a0ce-a7e6e7cfcd8b · outbound

This paper cites Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu

Reference 15

Resolution
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Source-reported events for the cited work

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Observation f6410a2e-d401-49b1-9dc4-7e96a4a2d2be · outbound

This paper cites A special stability problem for linear multistep methods.BIT Numerical Mathematics, 3(1):27–43, 1963.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity A special stability problem for linear multistep methods.BIT Numerical Mathematics, 3(1):27–43, 1963

Reference 16

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Source-reported events for the cited work

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Observation 9ad65907-3c08-417e-a1ca-1ed05d6457b8 · outbound

This paper cites Edelman, T.A.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Edelman, T.A

Reference 17

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Observation c9e013c9-dd45-472e-b9c1-d096d672924d · outbound

This paper cites Févotte and J.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Févotte and J

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 168032b4-8666-45f9-ba61-147de875d8f9 · outbound

This paper cites Admm and accelerated admm as continuous dynamical systems.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Admm and accelerated admm as continuous dynamical systems

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 0d9ecba3-f657-45c0-8e09-c9c158549f4c · outbound

This paper cites Proximal gradient flow and douglas– rachford splitting dynamics: Global exponential stability via integral quadratic constraints.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Proximal gradient flow and douglas– rachford splitting dynamics: Global exponential stability via integral quadratic constraints

Reference 20

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Source-reported events for the cited work

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Observation 3010cf97-1bdb-4655-895d-748bf33bb9e7 · outbound

This paper cites Trust region algorithms and timestep selection.SIAM Journal on Numerical Analysis, 37(1):194–210, 1999.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Trust region algorithms and timestep selection.SIAM Journal on Numerical Analysis, 37(1):194–210, 1999

Reference 21

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Source-reported events for the cited work

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Observation 27fc26f1-395d-4780-b210-37171174a0f5 · outbound

This paper cites an unresolved cited work.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Unresolved cited work

Reference 22

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Observation 48f0e5fa-542f-4b9b-b17a-27f3ae0ed1c9 · outbound

This paper cites Lawson and R.J.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Lawson and R.J

Reference 23

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Observation c802658c-ca67-493a-b43d-2cb9c5357fe3 · outbound

This paper cites Lee and H.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Lee and H

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 180fcad8-e848-45ac-b0fd-d8232da883d7 · outbound

This paper cites Leplat, N.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Leplat, N

Reference 25

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Source-reported events for the cited work

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Observation 30ec7c77-71a1-4d54-9164-729f141f940c · outbound

This paper cites Understanding and accelerating particle-based variational inference.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Understanding and accelerating particle-based variational inference

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5d7a007e-84fc-439d-bc87-77484642ef4c · outbound

This paper cites From differential equation solvers to accelerated first-order methods for convex optimization.Mathematical Programming, pages 1–47, 2021.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity From differential equation solvers to accelerated first-order methods for convex optimization.Mathematical Programming, pages 1–47, 2021

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d28d2fe1-8820-4d9e-a424-7b1096be46bb · outbound

This paper cites From differential equation solvers to accelerated first-order methods for convex optimization.Mathematical Programming, 195(1-2):735–781, 2022.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity From differential equation solvers to accelerated first-order methods for convex optimization.Mathematical Programming, 195(1-2):735–781, 2022

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 83251d0c-02fb-4f2f-a25b-1bb8a72a88b5 · outbound

This paper cites an unresolved cited work.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Unresolved cited work

Reference 29

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 872dd107-ac60-4a9e-8a07-f3703ff010c9 · outbound

This paper cites Nemirovsky and David B.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Nemirovsky and David B

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9c646848-7412-47d1-ba24-197ae459da5c · outbound

This paper cites Modified gauss–newton scheme with worst-case guarantees for its global performance.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Modified gauss–newton scheme with worst-case guarantees for its global performance

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 79e4d2a6-8ae6-452b-a93e-f9bf8964d780 · outbound

This paper cites Springer, Cham, 2 edition, 2018.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Springer, Cham, 2 edition, 2018

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.361583Z digest=sha256:7d5ce710e7075b5e7bfb216a40782fccd331ca7fef6dc5a3208eec0067dee755

Observation 72e48042-4e2e-4076-8e68-8c40b7546b54 · outbound

This paper cites Portugal, Joaquim J.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Portugal, Joaquim J

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.872659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.367707Z digest=sha256:b2f7928653ab949d1a06c11e5ae65ec8132bd343022a3ec1f98972776ba2253d

Observation a97f4ade-8d10-4fe6-85fe-7aa0a3ed4c5c · outbound

This paper cites Monotone operators and the proximal point algorithm.SIAM journal on control and optimization, 14(5):877–898, 1976.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Monotone operators and the proximal point algorithm.SIAM journal on control and optimization, 14(5):877–898, 1976

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.850482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.374184Z digest=sha256:b75ec57e1508936c167356c2a5352a40c3cefa2f34561ee85de64077bfb48c76

Observation a9d545f2-04a0-4ee3-8ed5-fd3b34a94a18 · outbound

This paper cites Integration methods and optimization algorithms.Advances in Neural Information Processing Systems, 30, 2017.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Integration methods and optimization algorithms.Advances in Neural Information Processing Systems, 30, 2017

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.813716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.381699Z digest=sha256:91c44e2b21b59e699bd6219669405bcaae2aa37ac1d0c53d5dc736ebaed76768

Observation 01f364c8-1e3c-47fd-b594-33fbefe30270 · outbound

This paper cites Understanding the acceleration phenomenon via high-resolution differential equations.Mathematical Programming, pages 1–70, 2021.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Understanding the acceleration phenomenon via high-resolution differential equations.Mathematical Programming, pages 1–70, 2021

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.784384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.393203Z digest=sha256:e8e7ef32395d59a88e4907c4e982936fe3905456b4aa8c02ac598dcda66275de

Observation 3df8effe-828d-42bf-b656-2a06b1629e4d · outbound

This paper cites A differential equation for modeling nesterov’s accelerated gradient method: theory and insights.Advances in neural information processing systems, 27, 2014.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity A differential equation for modeling nesterov’s accelerated gradient method: theory and insights.Advances in neural information processing systems, 27, 2014

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.754440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.399665Z digest=sha256:5b94c58a83c595dfe17fd93da2e1606420f0b34a4b7b07bee5f9680f978c063d

Observation b414ced9-3f81-4836-b9bb-f087f8722a8c · outbound

This paper cites Continuous-time analysis of accelerated gradient methods via conservation laws in dilated coordinate systems.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Continuous-time analysis of accelerated gradient methods via conservation laws in dilated coordinate systems

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.728251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.405133Z digest=sha256:0962e1b8ca11fa06a8b7286f49c57169bc356f4b9960244a1a5b262ddf38eede

Observation 82bb5b9b-ad15-4133-8675-85934e6f804f · outbound

This paper cites Accelerated Flow for Probability Distributions.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Accelerated Flow for Probability Distributions

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:22:27.568573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.411756Z digest=sha256:6a3cf46a3d08c13c8abf071af8878e506ca2f932f7e078114c81b46f569e44cf

Observation b8c32e45-e2d4-4cfd-aaa5-b4bcbeb0f180 · outbound

This paper cites The exponentially convergent trapezoidal rule.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity The exponentially convergent trapezoidal rule

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.701998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.422364Z digest=sha256:7d5f84b466ddb4a67f8baab91bbaf145e56ef8d15dfc0054c589d6fd8d17a04c

Observation ef2be298-41be-41bd-ac39-f50e57062c1c · outbound

This paper cites Accelerated Information Gradient flow.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Accelerated Information Gradient flow

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:22:27.529397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.428311Z digest=sha256:f3a23e328dc6ae6e7b976e47644c9715171bc0de826ef1fb141cbbdd40bf3d5b

Observation 730b0319-207d-451f-93a1-026fe701a0d3 · outbound

This paper cites Wen and W.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity Wen and W

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.669502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.437318Z digest=sha256:c72e4ecfe9ff9bea1e69e6d81ef4b0d1ca5dd4a7dd2b7b392a93a3dd981935b9

Observation b8d8dbcc-024b-41df-a408-111e572738d5 · outbound

This paper cites A variational perspective on accelerated methods in optimization.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity A variational perspective on accelerated methods in optimization

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.642166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.444667Z digest=sha256:08d9bde565f76ddc154899b97c6d212988a0a6200b58ddca9a2e8d1dc19be86e

Observation 0a81af9d-cdc1-41bf-b0eb-0dc11eefd48a · outbound

This paper cites null speed / constant speed.

Constrained Optimization via Constraint-Induced Geometry: Implicit Feasible Dynamics and Optimality from Stationarity null speed / constant speed

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:22:27.607707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:22:27.451185Z digest=sha256:e357dc55bbc4aac0a56561d0bd51be5d44531b636b420399d3f70e8531b6aeda

Pith citing papers

No inbound Pith citation observations are available.