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Paper Citation Record · LEDGER

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization

As of 4 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2511.08425.

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

pith.paper-citation-record.v1
2511.08425 v3

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T23:35:58.055724Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:04:23.977767Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

  • verified exact5
  • verified fuzzy50
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e37aa716-84af-4b09-97e7-1849bda4c9cc · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Deep unsupervised learning using nonequilibrium thermodynamics

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 67a8d7a7-8757-4cdf-91a9-77fb772a760c · outbound

This paper cites Denoising diffusion probabilistic models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Denoising diffusion probabilistic models

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 088f8203-0c82-4dce-8f83-cbecf3eb52de · outbound

This paper cites Flow matching for generative modeling.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Flow matching for generative modeling

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 448c3bc2-593b-4ae3-b135-9a90c3701dc9 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization High- resolution image synthesis with latent diffusion models

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 75347fa9-f96e-4cd6-a3ba-4c2955933311 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Scaling rectified flow transformers for high-resolution image synthesis

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c08978b8-b85f-4a5b-a8c1-2cfa26ff14c9 · outbound

This paper cites Video diffusion models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Video diffusion models

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c0af3a88-6375-4ca0-bba3-b3347f6034ad · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Pyramidal flow matching for efficient video generative modeling

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.439286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:48535352929dbee5aebcfc0a1748031bbe8fd34171eacabb01dc041e7ff9c7a0

Observation 85fa2211-27e2-4bae-8a9b-476844216f86 · outbound

This paper cites De novo design of protein structure and function with rfdiffusion.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization De novo design of protein structure and function with rfdiffusion

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2c5dbe1e-6efb-472b-b9b6-311c98e5f8bd · outbound

This paper cites Diffusion policy: Visuomotor policy learning via ac- tion diffusion.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Diffusion policy: Visuomotor policy learning via ac- tion diffusion

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.363073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 473d2e9d-3335-4f32-84ee-a23235ef2f0a · outbound

This paper cites Fast and robust visuomotor riemannian flow matching policy.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Fast and robust visuomotor riemannian flow matching policy

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.434979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c464beee-a57c-4a00-9326-e894ec87fee5 · outbound

This paper cites Diffusion models beat gans on image synthesis.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Diffusion models beat gans on image synthesis

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.379822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b3317260-f48c-4eb5-b065-a6897336470f · outbound

This paper cites Classifier-Free Diffusion Guidance.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Classifier-Free Diffusion Guidance

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:40:31.673107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation f1289e46-af43-4ff6-87d6-ceb59fef81fd · outbound

This paper cites Aligning text-to-image diffusion models with constrained reinforcement learning.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Aligning text-to-image diffusion models with constrained reinforcement learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.358483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7d613fc7-6cd7-494c-9daf-6ea469907f11 · outbound

This paper cites Sampling constrained trajectories using composable diffusion models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Sampling constrained trajectories using composable diffusion models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.352576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7cc3bda3-792e-477a-b89f-d5a9869c2b40 · outbound

This paper cites Constrained synthesis with projected diffusion models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Constrained synthesis with projected diffusion models

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.400552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7bc671d4-23e7-4a6c-b942-0058e6a9744d · outbound

This paper cites Diffusion predictive control with constraints.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Diffusion predictive control with constraints

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7641245f-732b-4536-aa17-6ac70b6884cd · outbound

This paper cites an unresolved cited work.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:52:14.442184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8080b1e0-4599-4435-9b6f-89bdb1ef34ab · outbound

This paper cites Physdiff: Physics- guided human motion diffusion model.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Physdiff: Physics- guided human motion diffusion model

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7bf7a2c0-c573-4621-b0b2-b174755261d5 · outbound

This paper cites Safediffuser: Safe planning with diffusion probabilistic models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Safediffuser: Safe planning with diffusion probabilistic models

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2d7cc338-a83b-4a51-bf23-0af766e571bb · outbound

This paper cites Con- strained diffusers for safe planning and control.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Con- strained diffusers for safe planning and control

Reference 20

Resolution
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raw_fallback, observed 2026-05-17T23:52:14.406919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 637852ef-fc09-4f02-a0fb-baf0b97521fc · outbound

This paper cites Projected Coupled Diffusion for Test-Time Constrained Joint Generation.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Projected Coupled Diffusion for Test-Time Constrained Joint Generation

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:40:31.679609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9f6b2aeb-2693-4736-a873-0d2df61f717b · outbound

This paper cites arXiv preprint arXiv:2502.05625 , year =.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization arXiv preprint arXiv:2502.05625 , year =

Reference 22

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arxiv_id, observed 2026-05-17T23:40:31.668968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d5ef0529-f34e-432c-a869-a82e80dec390 · outbound

This paper cites DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajecto- ries.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajecto- ries

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.400239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:693f97188858cbc20afbf5fce2c369b8f5b8c2e1b5be0e62e860a8c92463f1ea

Observation 77c9c471-eb3b-4ea3-8ec3-1dab6c3538e2 · outbound

This paper cites Denoising diffusion implicit models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Denoising diffusion implicit models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.382299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation f5ce0219-1b3d-4476-a587-5eb9c53629a7 · outbound

This paper cites Rb-modulation: Training-free stylization using reference- based modulation.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Rb-modulation: Training-free stylization using reference- based modulation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.311721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a771768d-2700-46b5-b679-667692af7196 · outbound

This paper cites Training free guided flow-matching with optimal control.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Training free guided flow-matching with optimal control

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.330291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 564fc6a0-3f6d-445c-b4e3-6e217e8e3085 · outbound

This paper cites an unresolved cited work.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-05-17T23:52:14.446567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 780209ef-9d30-4334-a92e-698c01dc6f01 · outbound

This paper cites Direct and indirect methods for trajectory optimization.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Direct and indirect methods for trajectory optimization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.305280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c20afb86-845f-41b5-94fa-8f6dd6a47388 · outbound

This paper cites A survey of methods available for the numerical optimization of continuous dynamic systems.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization A survey of methods available for the numerical optimization of continuous dynamic systems

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.468154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:64e6204ee6d8093e1763d9d9c83698bb1450f0ad5de5836f4f87038d366b106f

Observation b7680afb-8fd9-411e-b5c8-ad4373e0d93a · outbound

This paper cites Model predictive control: past, present and future.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Model predictive control: past, present and future

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.406454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:bc48787fe2cd7d77d41083abe44406078defa75fd15040380745f4e27617f861

Observation c25a4361-9af5-4e20-8ce9-67555a88b6a9 · outbound

This paper cites Cobl-diffusion: Diffusion-based conditional robot planning in dynamic environments using control barrier and lyapunov functions.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Cobl-diffusion: Diffusion-based conditional robot planning in dynamic environments using control barrier and lyapunov functions

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.461202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:799fa5e6839a6bfe8f3021dcf53b8ca887d08b0cd3484f2244ea421a495914d6

Observation 2ddab3e2-8beb-4465-8a86-ae71916ee793 · outbound

This paper cites Motion planning diffusion: Learning and adapting robot motion planning with diffusion models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Motion planning diffusion: Learning and adapting robot motion planning with diffusion models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.382108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:a43a37253986fe78696e2ed0c24fed2c69a53207f894da44d382d7240dd2d2bf

Observation 45f5b60e-dfab-498a-8984-4f829d457a98 · outbound

This paper cites an unresolved cited work.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Unresolved cited work

Reference 33

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raw_fallback, observed 2026-05-17T23:52:14.431243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:182a0a4223f97fcd7ebf5a212ee6ed5abee062cfd0b0ff14bb18426089b5fa9b

Observation 3ddec322-6842-4b44-a9cd-0a680a883708 · outbound

This paper cites an unresolved cited work.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:52:14.465140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:3b37fd9881ff439707ec4f86f11a45694d254be6897a99d628d26a6050d720e8

Observation 0f79e056-fe0e-4ce3-97a6-ac90bfedcbb0 · outbound

This paper cites Theoretical guarantees for sampling and inference in generative models with latent diffusions.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Theoretical guarantees for sampling and inference in generative models with latent diffusions

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.403311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:57ed3e81f329c0df780da4b45805679428188d7c5a44c19233b42f1f39e7f5ef

Observation b7da38ba-dc99-4dfd-b5d4-bb5792022bf0 · outbound

This paper cites Path integral sampler: A stochastic control approach for sampling.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Path integral sampler: A stochastic control approach for sampling

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.435773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:6d96d8fef248a1cb3e4375f64348fc8de87fb8ea6bfed9c467c825a8e182143e

Observation 57fd0c3d-3fff-4d56-b5ac-7a14858d9083 · outbound

This paper cites Denoising diffusion samplers.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Denoising diffusion samplers

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.422584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:d33db1a11977f95c7183815bd7e9db2f71d1ff3bcf1cbf9d4d58e06b07251083

Observation da53d893-8cb6-4fc4-8bc7-052d4f34ef65 · outbound

This paper cites An optimal control perspective on diffusion-based generative modeling.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization An optimal control perspective on diffusion-based generative modeling

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.458933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:637e54f3c71921a5fd2e517db0781815ffd82fc3ad41b5e2cef022e7a049e383

Observation fe3dcc76-c980-4c5b-8912-d072b5c0afa4 · outbound

This paper cites Adjoint sampling: Highly scalable diffusion samplers via adjoint matching.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Adjoint sampling: Highly scalable diffusion samplers via adjoint matching

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.443674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:74d42f4632f9b9209e82237113d50a3e29e50d090b105935c20ab3adf3f960bc

Observation c278300f-45c0-4bce-a2d3-4c165462e4b6 · outbound

This paper cites Ad- joint matching: Fine-tuning flow and diffusion generative models with memoryless stochastic optimal control.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Ad- joint matching: Fine-tuning flow and diffusion generative models with memoryless stochastic optimal control

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.424026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:e885cea3bf9c272a6c618c9961f0c71f1246752a7bb6dfb10cd57d55e3ac4c60

Observation d594fb68-4ce2-4ee0-a6c2-ee7e133f986f · outbound

This paper cites Score as action: Fine tuning diffusion generative models by continuous-time reinforce- ment learning.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Score as action: Fine tuning diffusion generative models by continuous-time reinforce- ment learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.409950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:e7ff09930b0602f2f38f5a45a2e0e30739d9c0251ee1dc8b544c92104d365cab

Observation 477e94aa-7810-4dcf-91cf-f9acd417a040 · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Diffusion posterior sampling for general noisy inverse problems

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.385118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:bfb302660e323fefff69bc84e9674004d144892143aeb50aa89ccf6d79574e84

Observation 8fb0079e-f6c1-44cc-97a1-a3b012cc3fb8 · outbound

This paper cites Universal guidance for diffusion models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Universal guidance for diffusion models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.455521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:89896e02c4badc1570287e2a0850b5e49ba69eb78b7e3fe1586533db32ef8da8

Observation 3bb1b0b8-ef34-452d-9095-f4c139050b7a · outbound

This paper cites Gradient guidance for diffusion models: An optimization perspective.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Gradient guidance for diffusion models: An optimization perspective

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.367780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:eba9fbc378858dcfc08fda671da090fb17029fc6f774790047a8c9ee65e33231

Observation 5bd06169-ed0c-457f-86ea-393da8a9fee7 · outbound

This paper cites Variational control for guidance in diffusion models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Variational control for guidance in diffusion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.350927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:29af7e5a435033e3c9876480cd50ae774ed551e4bc795766a21c63dc66c49ac4

Observation ec4308c4-7b2b-4b5c-9158-b5cb49357e91 · outbound

This paper cites On the guidance of flow matching.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization On the guidance of flow matching

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.452198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:3957fbb121a6f408bb63bff17421504d45fea9b3678942782e6b2a1830c855bd

Observation 0749401e-fade-45a2-9643-21110ee65347 · outbound

This paper cites Symbolic music generation with non-differentiable rule guided diffusion.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Symbolic music generation with non-differentiable rule guided diffusion

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.449466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:f10e53902fc1454bb76835415e77d02638c9d5e34ee49c444e5d7f316ccdedc9

Observation cabc1921-9c4a-47d4-9ec2-fcab6a5be7a1 · outbound

This paper cites Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:40:31.691777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:118cae2ba0a4454d86ff9dff9af77a72ed74c7a84e8481cf833cc9d9f2de3b5b

Observation 53f27a1f-e00d-424b-8d29-ab8367a00b98 · outbound

This paper cites Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:40:31.683626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:4ffa4f5acc63931eb7a78fa897b060239caf7723d5910071e67e53df151c67a3

Observation c122f235-a1df-40ab-8ce4-7b8169d56731 · outbound

This paper cites Zero-shot image restoration using denoising diffusion null-space model.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Zero-shot image restoration using denoising diffusion null-space model

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.304947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:db4b30ee16297ad3b8469cecda19df8511aa4753e963b19898f8e5ba2cb60f8e

Observation 410ba084-31a2-4266-a5e3-f874bb74e14b · outbound

This paper cites Bertsekas,Dynamic Programming and Optimal Control: Volume I.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Bertsekas,Dynamic Programming and Optimal Control: Volume I

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.337266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:a0d392ac30b74ad74458b604050da8ac22d94ab5ae47ffb186006ea02c983f4b

Observation 74484e79-29a7-483c-88b5-9d8c85509dea · outbound

This paper cites Towards diverse behaviors: A benchmark for imitation learning with human demonstrations.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Towards diverse behaviors: A benchmark for imitation learning with human demonstrations

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.449902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:deffe1679eba78c39feac4bea625175cd08f2baccc67acff634671e86328ea4e

Observation ff0b1057-f097-4f55-93c4-fbeb35e78dea · outbound

This paper cites On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.432113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:ce4325999bc82b1ce97e807d70f73f04cf9e152df9ac6648a75b26812dba8fde

Observation 7a7168c6-c650-4fc1-8cfe-1edff94e812b · outbound

This paper cites Planning with diffusion for flexible behavior synthesis.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Planning with diffusion for flexible behavior synthesis

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.445879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:c90a460f2e8e5ce0306068f814ed3fd48cf242b675cbab2414cbe3c7a46b8d35

Observation 35d8367b-ce4e-4e4a-b7b2-c7bb1c9c8b11 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:40:31.687030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:ab5351dec5e38fb057db8b91f4b6cdc7e5a51671e0382307dbb59b56cf217ac0

Observation 14eec983-2cb8-43cb-bae6-ed1514286a4d · outbound

This paper cites From uncertain to safe: Conformal adaptation of diffusion models for safe PDE control.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization From uncertain to safe: Conformal adaptation of diffusion models for safe PDE control

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.426964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:234e6c824bb4048c049d31c0980fc1807cc9ad755913b8d3f20d5316c305852f

Observation bc2748f7-0af6-4ccc-9413-cbcc79a64477 · outbound

This paper cites Progressive growing of GANs for improved quality, stability, and variation.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Progressive growing of GANs for improved quality, stability, and variation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.369122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:3fc3e3f5b4eaae7f330c61926fb243e2d4ff67b67e1a5c6746a025606cb56292

Observation 92359d9f-c476-4cca-926f-6c2c61908a11 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.419496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:0a73f83b00dce83d80e491b4bf5e0491107c0c7715862e6dc5ae0601fd735356

Observation 5769c946-b442-4caf-8e55-127b2bd51c3e · outbound

This paper cites Learning transferable visual models from natural language supervision.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization Learning transferable visual models from natural language supervision

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.453810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:a881bdf32eb72001c099b43d83f0577ccd28f05a4eb1a76ab9784a38f1459d7d

Observation f34a5871-670f-4b25-bbda-455d6f31df97 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization The unreasonable effectiveness of deep features as a perceptual metric

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.438493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T23:35:58.055724Z digest=sha256:28f5d6eb627ac793a62d8bec768045bf1519a2bd130554a8280ae218549fb436

Pith citing papers

Observation b2a8e153-bf06-475b-9e6d-af1fa1de292e · inbound

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation cites this paper.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-11T19:04:23.977767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:b1cc4e8fa7a667d89fe3e827c40215f039a696cfdcc3cf0c1fad8de08e9daded

Observation 6624efdb-07dc-48c9-b43f-cfa38a6c617b · inbound

Constrained Flow Matching via Lagrangian Dual Flows cites this paper.

Constrained Flow Matching via Lagrangian Dual Flows HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T18:17:48.298337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T18:17:48.298337Z digest=sha256:4b11da1d3c8b5f135ac743eae2c7c049d6a55422e41a63b751a0ed01b8f8a53d