Paper Citation Record · LEDGER

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows

As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2605.17808.

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

pith.paper-citation-record.v1
2605.17808 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T13:05:17.641751Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

14 of 14 outbound references displayed

verified exact8
verified fuzzy6
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be8e947f-9c68-40e8-a3b6-ff4d7ecd4664 · outbound

This paper cites NETS: A Non-Equilibrium Transport Sampler.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows NETS: A Non-Equilibrium Transport Sampler

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:08:17.902652Z

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 259ef4b7-4455-4cf3-a417-ce7a3f690ae7 · outbound

This paper cites Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:08:17.905991Z

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 4722a18a-417e-47de-9d8a-e061a9adc646 · outbound

This paper cites Generative Modeling via Drifting.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Generative Modeling via Drifting

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:08:17.918102Z

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 4eba5861-71e1-4733-a642-5d83a63c92c6 · outbound

This paper cites Mean Flows for One-step Generative Modeling.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Mean Flows for One-step Generative Modeling

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:08:17.909222Z

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 dee8b2c0-1c64-49e2-82d2-0370573bf3bd · outbound

This paper cites Sinkhorn-Drifting Generative Models.arXiv preprint arXiv:2603.12366, 2026a.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Sinkhorn-Drifting Generative Models.arXiv preprint arXiv:2603.12366, 2026a

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:08:17.921341Z

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 06fcec8e-4622-4cb7-9dd3-550b72e6583d · outbound

This paper cites Jutras-Dube, J.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Jutras-Dube, J

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:08:17.899778Z

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 5363f209-47b2-4a24-83d6-362647903740 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Adam: A Method for Stochastic Optimization

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:08:17.912218Z

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 1a4179d8-724b-4602-b208-a184941d0ab9 · outbound

This paper cites Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:08:17.915136Z

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 6560b8f2-8d2b-4d68-9965-5d26e4ef4791 · outbound

This paper cites const” indicates a constant schedule; “→.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows const” indicates a constant schedule; “→

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T13:08:18.345033Z

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 386f2d86-468a-4649-bed3-6a7a7aa2226f · outbound

This paper cites This diagnostic run is separate from the main benchmark tables and is used only to visualize the converged drift geometry on GMM-8.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows This diagnostic run is separate from the main benchmark tables and is used only to visualize the converged drift geometry on GMM-8

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T13:08:18.338394Z

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 cf88baa4-4baa-470a-a167-7b79e83c7dde · outbound

This paper cites Field computation.The score ∇logp is computed analytically from the GMM energy.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Field computation.The score ∇logp is computed analytically from the GMM energy

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T13:08:18.340472Z

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 8b6a4e7f-1036-43b9-9571-aeafdeb9133c · outbound

This paper cites Remark6 (Stationary distribution).Setting ∂tqt = 0 in (29) requires ∇ ·(∇q+q∇E) = 0.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Remark6 (Stationary distribution).Setting ∂tqt = 0 in (29) requires ∇ ·(∇q+q∇E) = 0

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T13:08:18.333743Z

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 f7ecde76-57c0-475a-b179-1dbf3890ce89 · outbound

This paper cites Substituting the RBF kernel instead yields the exact score ( ∇log ˆq= 2 τ mrbf q ); the Laplace mean-shift is an approximation that does not correspond to any standard KDE gradient.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Substituting the RBF kernel instead yields the exact score ( ∇log ˆq= 2 τ mrbf q ); the Laplace mean-shift is an approximation that does not correspond to any standard KDE gradient

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T13:08:18.336242Z

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 95fc9888-b6f6-4efd-b51b-41dd217b472e · outbound

This paper cites Hence logr(x) is constant on each connected component, so p(x) =c q(x) for some constant c >0.

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows Hence logr(x) is constant on each connected component, so p(x) =c q(x) for some constant c >0

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T13:08:18.342558Z

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.

Pith citing papers

No inbound Pith citation observations are available.