Pith. sign in

Paper Citation Record · LEDGER

Physics-Informed Diffusion Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2403.14404.

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

pith.paper-citation-record.v1
2403.14404 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:58:11.107482Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 dc94bcee-f4c3-4cbf-888b-3cb9fece9847 · inbound

Diffusion Predictive Control with Constraints cites this paper.

Diffusion Predictive Control with Constraints Physics-Informed Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T17:13:02.189407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:13:02.189407Z digest=sha256:8073df4ff96a8d2b5533a9c303360aa0aef09d29e6da2f94f27df799a1f70651

Observation 643f25fc-9644-486d-9997-356d6d83c53d · inbound

Consistency Training with Physical Constraints cites this paper.

Consistency Training with Physical Constraints Physics-Informed Diffusion Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T12:10:03.561554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:10:03.561554Z digest=sha256:ea49c15556c213081c9bc099a907976d75ecc7a3be43162e39f03c84a6ceec26

Observation 9ea93b86-f20e-4c62-a2be-073f7e32298b · inbound

Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder cites this paper.

Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder Physics-Informed Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T00:58:11.107482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:58:11.107482Z digest=sha256:ba13ee5466a17bcda69beae0c9422473b757db3db8d68fc4e3aa767df6cab763

Observation a7597251-4519-47a4-a29f-bb985097d1b9 · inbound

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems cites this paper.

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems Physics-Informed Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:18.485827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:18.485827Z digest=sha256:81f8992c9621f3ac28587ddd010d7c721ed3a766e9550dd13f9d781f25f4f4e3

Observation 51525e27-8b0b-4e75-9e93-190d50b937d2 · inbound

Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing cites this paper.

Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing Physics-Informed Diffusion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:26:52.717590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:26:52.717590Z digest=sha256:61a62a322655288477dc5a60200c707923180c1a42f567c52f865e7dfcc1914a

Observation a02a4fb4-f6a2-44f0-b129-476d745f122c · inbound

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction cites this paper.

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction Physics-Informed Diffusion Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:00.117534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:37:00.117534Z digest=sha256:977f87e3f9aa620330229d94023e59106ac2dd31746f1370516f853b3a4fec4e

Observation 1533a7c4-790f-4775-80af-d5cd9d9d6e07 · inbound

Dual guidance: ROM-informed field reconstruction with generative models cites this paper.

Dual guidance: ROM-informed field reconstruction with generative models Physics-Informed Diffusion Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:19.192588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:08:19.192588Z digest=sha256:fde072308120d0c6af20c259b5e276e0ce396f0c969508abfe514c781b4cc28d

Observation e02c6396-e865-4666-837d-76a06433835b · inbound

Convolution-weighting method for the physics-informed neural network: A Primal-Dual Optimization Perspective cites this paper.

Convolution-weighting method for the physics-informed neural network: A Primal-Dual Optimization Perspective Physics-Informed Diffusion Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T18:29:43.656904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:29:43.656904Z digest=sha256:9dfa587a61fde903e1571e39cf1bb0500acbb6a216834fb54a7f6376e76e0fff

Observation 14f63233-fa66-47ff-83be-0672d7943ddd · inbound

Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions cites this paper.

Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions Physics-Informed Diffusion Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T19:16:30.861193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:16:30.861193Z digest=sha256:aef0a253f86860c626b21d5f2a32bd2e6e3872831e6e310260d03779121e53ee

Observation cb973b14-e781-4e68-bf62-0bdd3972b5d1 · inbound

Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers cites this paper.

Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers Physics-Informed Diffusion Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:22:02.869048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T04:18:32.034089Z digest=sha256:88616dc581c990527708fc48888ee2c618ed591cc7e8d9f56b8f080ddeee33a2

Observation 62421ddc-4f76-4b69-9ab7-ca6dbbbd1ba7 · inbound

Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series cites this paper.

Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series Physics-Informed Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T19:56:10.901979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:56:10.901979Z digest=sha256:2048d4ae182c37c2711d416efcb1e99a740cb868391e957ff3ea767a972e06f8

Observation d003936c-1567-4254-849f-ea46dab1e7ac · inbound

Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration cites this paper.

Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration Physics-Informed Diffusion Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T19:32:58.703447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:32:58.703447Z digest=sha256:31507caf9e789157f2c84e352372facebf4c79aa4458db8e5057c42ed3854cda

Observation 4e422015-608d-40e2-a619-d98f7f416c2e · inbound

Towards Digital Twins for Optimal Radioembolization cites this paper.

Towards Digital Twins for Optimal Radioembolization Physics-Informed Diffusion Models

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-05T13:48:48.531678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:48.531678Z digest=sha256:18bc1a82ec9d59aa701d151e32d0134b34696388ac48a1a20321a62d4e3cd977

Observation b5db45a3-c998-42b7-84fa-8a8bbe6cdd4c · inbound

Flow marching for a generative PDE foundation model cites this paper.

Flow marching for a generative PDE foundation model Physics-Informed Diffusion Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:51:25.655084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-18T13:48:14.532529Z digest=sha256:b8ebd322b87f0298a0ea1cacaacf969fb86ad89360e5442612a530ec08837291

Observation 8f7680f2-feff-499d-9cba-ede80edd9bbe · inbound

GLUE: Coordinating Pre-Trained Generative Models for System-Level Design cites this paper.

GLUE: Coordinating Pre-Trained Generative Models for System-Level Design Physics-Informed Diffusion Models

Reference 28

Resolution
malformed identifier
arxiv_id, observed 2026-05-16T20:28:24.088082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T20:25:49.836532Z digest=sha256:215d524ad88704ecb08c4afdf48e9aa3f92ac5c2cc447506952fcb29584a5014

Observation 2c17f2e2-0582-471e-8a91-889cc6a81f6b · inbound

Physics-informed diffusion models in spectral space cites this paper.

Physics-informed diffusion models in spectral space Physics-Informed Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T02:51:04.612190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:51:04.612190Z digest=sha256:e76c839b546a8e140cfef5d841353c3fe0118d9f5b36fad08b2310e608a607c9

Observation fe143022-6fcc-493d-bfb3-60152d3256e0 · inbound

A Unified Multiscale Auxiliary PINN Framework for Generalized Phonon Transport cites this paper.

A Unified Multiscale Auxiliary PINN Framework for Generalized Phonon Transport Physics-Informed Diffusion Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:13:28.947551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-14T00:12:22.784507Z digest=sha256:e20b5bcfb1297430b5e48d2f2345ff6dcdab533beff763a38571b26410a7e64e

Observation 530656f0-faf1-4cf3-93ec-af05fc7a59b7 · inbound

Generative AI for material design: A mechanics perspective from burgers to matter cites this paper.

Generative AI for material design: A mechanics perspective from burgers to matter Physics-Informed Diffusion Models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:18:06.084609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T18:14:13.241978Z digest=sha256:1b7f07a738bed28a6d1b2228e13abb0b5fc5bb1bb850d3e566df4cfabfa40fb8

Observation 3efb9422-d4ef-4608-9514-3b2c49310bc9 · inbound

Diffusion Inpainting MIMO-OFDM Channels with Limited Noisy Observations cites this paper.

Diffusion Inpainting MIMO-OFDM Channels with Limited Noisy Observations Physics-Informed Diffusion Models

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:36:01.444352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:34:45.311617Z digest=sha256:9e20b0aa3b33c3254c575df5b93f8a155f6071ade00455ccb13a050fb0b0f58c

Observation 32544ba7-eefb-47e3-9888-422da39cf318 · inbound

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling cites this paper.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Physics-Informed Diffusion Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:17:59.109893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:c930902bfc1d3a23e3773e37541a5308ddc9387031bb99ae86e9edc5b1964b9e

Observation e4f0974a-b133-4b70-a39c-204e991aa245 · inbound

Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions cites this paper.

Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions Physics-Informed Diffusion Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:02:47.308384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T20:59:55.644530Z digest=sha256:ca3786bedbe9e35bc8d0ec04f5e1ad1e1768eeec7a88d81c0d368f658a2b0d8f

Observation d03a584a-a143-4dbb-a452-3628687b3b49 · inbound

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment cites this paper.

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment Physics-Informed Diffusion Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:24:41.307037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T06:24:04.891249Z digest=sha256:381306eaa696bac526b0937a51089f55eec0fc2cf722ad34f0fb68f91963a631

Observation c2a89421-8b20-4880-a002-8b22cfb3d9c2 · inbound

LEIA: Learned Environment for Interactive Architected Materials cites this paper.

LEIA: Learned Environment for Interactive Architected Materials Physics-Informed Diffusion Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:43:29.068178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T13:37:38.479547Z digest=sha256:276334f0ac25e1f13caa19b3f88dc4decec5ea48b36dc50bed75c6680b09d242

Observation 145a7f61-c0ba-43ea-80ae-dbf2c31b380d · inbound

Surface Constraint Policy for Learning Surface-Constrained and Dynamically Feasible Robot Skills cites this paper.

Surface Constraint Policy for Learning Surface-Constrained and Dynamically Feasible Robot Skills Physics-Informed Diffusion Models

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:56:11.197895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T21:53:36.465761Z digest=sha256:7c1dd6cc5f0d9ba66bfb33de4bcb7238986e63c7821856b4b544e8a02777e9eb

Observation 546f6ddc-d397-4231-b52c-47b2f65662d5 · inbound

Reinforcement Learning with Verifiable Physics: Post-training LLMs with Continuous Rewards cites this paper.

Reinforcement Learning with Verifiable Physics: Post-training LLMs with Continuous Rewards Physics-Informed Diffusion Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-14T11:28:23.511747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:28:23.511747Z digest=sha256:662e2b1812e8575dc117f8787ecf54c737f9c34f50f83cea885f6f648eb231a8

Observation 46a02c33-683f-4f64-8210-0abb5fa78c2b · inbound

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

Integration Matters: Rollout-Based Training for Constrained Diffusion Models Physics-Informed Diffusion Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T02:18:47.410297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:18:47.410297Z digest=sha256:dc5f2166d0deaec1b84a7880b7edbf704850af15d126368d4cb2dd11c600c859

Observation 9c70487e-c666-4fe3-bd8a-d1ceaf346a40 · inbound

Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation cites this paper.

Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation Physics-Informed Diffusion Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T02:22:20.407763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:22:20.407763Z digest=sha256:10ad992ee874059159b6e02b8e005336b748b8e73cb917754ddeba485bbb6b73