Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2012.05942.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:11:51.334724Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:25:47.370267Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4e9a0ab4-c513-4094-b6b7-ae953454beb7 · inbound
Rectified Flow: A Marginal Preserving Approach to Optimal Transport cites this paper.
Rectified Flow: A Marginal Preserving Approach to Optimal Transport Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Reference 108
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:03:13.998055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5b3b939e-ec1b-4dc3-b8d2-f933b07e62df · inbound
Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies cites this paper.
Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:02:30.236273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 167d5728-b343-404f-bf01-19cfee01aa79 · inbound
On the Depth of Monotone ReLU Neural Networks and ICNNs cites this paper.
On the Depth of Monotone ReLU Neural Networks and ICNNs Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:11:51.334724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f49b2c7-db4f-4a92-b8c7-ff7be2419cba · inbound
Universal Representation of Generalized Convex Functions and their Gradients cites this paper.
Universal Representation of Generalized Convex Functions and their Gradients Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:36:48.124933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 500cb641-5602-4134-bed4-8e137a2bf996 · inbound
Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows cites this paper.
Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:36:54.309060Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90aa4b71-c939-4162-9b7a-2be5d63ac67b · inbound
Modeling isotropic polyconvex hyperelasticity by neural networks -- sufficient and necessary criteria for compressible and incompressible materials cites this paper.
Modeling isotropic polyconvex hyperelasticity by neural networks -- sufficient and necessary criteria for compressible and incompressible materials Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:48:00.709202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fc759340-76be-4b5a-b8d1-3cc7996b917a · inbound
Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport cites this paper.
Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T10:01:28.043097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 74f20acb-662f-497e-897f-e24d6e313d9c · inbound
Factorizable Normalizing Flows for parameter-dependent density morphing cites this paper.
Factorizable Normalizing Flows for parameter-dependent density morphing Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:25:47.372479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.