Paper Citation Record · LEDGER

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2504.11713.

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

pith.paper-citation-record.v1
2504.11713 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:11:58.665164Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d5e0fb3c-8c33-4514-be80-0aad5248a818 · inbound

Neural Flow Samplers with Shortcut Models cites this paper.

Neural Flow Samplers with Shortcut Models Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T13:11:58.665164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65cf8bfe-b678-4f56-8b36-6520a1a13f01 · inbound

Adaptive Destruction Processes for Diffusion Samplers cites this paper.

Adaptive Destruction Processes for Diffusion Samplers Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:47:49.545660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbcb9772-2a5b-4437-91e0-1164f0789f8d · inbound

FlowBack-Adjoint: Physics-Aware and Energy-Guided Conditional Flow-Matching for All-Atom Protein Backmapping cites this paper.

FlowBack-Adjoint: Physics-Aware and Energy-Guided Conditional Flow-Matching for All-Atom Protein Backmapping Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T04:25:45.882724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1466c1c-aa91-4629-8b08-b6d243c2cf61 · inbound

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework cites this paper.

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T19:28:36.105087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb6c5af-94b6-4700-aefa-76cf828aaf00 · inbound

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling cites this paper.

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:46:45.381132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dfc2605d-9ba9-4182-ad0c-e188690c9a28 · inbound

Generative Modeling via Kernelized Stochastic Interpolants cites this paper.

Generative Modeling via Kernelized Stochastic Interpolants Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:19.397296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f19f1229-c3e2-405c-8f86-2e21178c901b · inbound

Offline Materials Optimization with CliqueFlowmer cites this paper.

Offline Materials Optimization with CliqueFlowmer Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:36:13.373762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b92184c0-1c71-4419-a1f9-d16f50d7fa47 · inbound

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics cites this paper.

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:49:15.936265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8bd0f752-2f5b-48e1-9235-b27680c50166 · inbound

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics cites this paper.

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:26.789671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 774ff879-8320-4ab0-92d1-44b7201de9bd · inbound

Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline cites this paper.

Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:10.688260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f884017-1bb5-468e-9648-7c2cc7547ed3 · inbound

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures cites this paper.

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T01:13:18.496350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 21e39b4c-2c18-4eef-8001-894a3738f14a · inbound

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate cites this paper.

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T07:53:09.693766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b9610c84-acb7-495b-b82e-03d48f4c1237 · inbound

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate cites this paper.

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:05:47.235146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f4f3346-03e6-4f51-bbac-54eb298d183f · inbound

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion cites this paper.

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:30:22.458863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 68e91b74-f739-4a1b-8fd1-a5d1970da894 · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 293

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:47:30.906604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad96b7c1-0419-446b-ac47-e55a93620f70 · inbound

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching cites this paper.

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.281447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 289941f5-c81b-4678-a7ae-49356dfe0ff7 · inbound

Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation cites this paper.

Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-25T21:48:28.601431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b653a6c8-c5ca-4c03-818c-85bb3f3acc30 · inbound

Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation cites this paper.

Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:47:27.182797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cefd454f-1c1c-4e3f-802d-7b822bb46b51 · inbound

Integration Matters: Rollout-Based Training for Constrained Diffusion Models cites this paper.

Integration Matters: Rollout-Based Training for Constrained Diffusion Models Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T02:18:48.981632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.