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Paper Citation Record · LEDGER

Incomplete Data, Complete Dynamics: A Diffusion Approach

As of 7 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2509.20098.

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

pith.paper-citation-record.v1
2509.20098 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T14:19:22.481700Z

measured 56 of 56 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T20:59:55.644530Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T21:02:47.343534Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact16
  • verified fuzzy37
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9a66181-3da2-4f2a-9efb-e14baa9ef6c9 · outbound

This paper cites Stochastic interpolants with data-dependent couplings.

Incomplete Data, Complete Dynamics: A Diffusion Approach Stochastic interpolants with data-dependent couplings

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:21:28.285109Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:380e276a955f5c9ec9d5cab633a69046f2dca97f4884eef2f86e9274ff0ceea8

Observation 714a076e-8f48-44a3-ab71-a22f4f41854a · outbound

This paper cites Infinite dimensional compressed sensing from anisotropic measurements and applications to inverse problems in pde.

Incomplete Data, Complete Dynamics: A Diffusion Approach Infinite dimensional compressed sensing from anisotropic measurements and applications to inverse problems in pde

Reference 2

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:5a7651f834ef3f371d3b52381ec93cecf2905b13c40dd873c5deaaa0335c97dc

Observation 1d3fc751-4e26-4991-b703-bb947fca0b06 · outbound

This paper cites Navier-stokes, fluid dynamics, and image and video inpainting.

Incomplete Data, Complete Dynamics: A Diffusion Approach Navier-stokes, fluid dynamics, and image and video inpainting

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.056217Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:d153ff06795974f93b20391a5603347a3089e1aded9829f02d94e96006fc8ca6

Observation 190d67ea-5dab-4e8b-bb5e-c9bb7869560c · outbound

This paper cites Pattern recognition and machine learning, volume 4.

Incomplete Data, Complete Dynamics: A Diffusion Approach Pattern recognition and machine learning, volume 4

Reference 4

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:a41469d5336182ec33d6bdcdca4e6ced20dcd53c3df283399e9663c7dd24e919

Observation 8f370c6b-41df-4d57-bf59-ec9a26bc3180 · outbound

This paper cites Promising directions of machine learning for partial differential equations.

Incomplete Data, Complete Dynamics: A Diffusion Approach Promising directions of machine learning for partial differential equations

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.013635Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:7dd34fb615c4c60291e0a5e29caf2cdb3477dba0695bc208415681e47694b7e0

Observation 9e728229-1703-44fb-872f-a98506dfdf92 · outbound

This paper cites Navier-stokes dataset of isotropic turbulence in a periodic box.

Incomplete Data, Complete Dynamics: A Diffusion Approach Navier-stokes dataset of isotropic turbulence in a periodic box

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.124494Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:23b709b7c68136efef6e86cf15c4b76a5ecdd68c985697afa29889dae51791f1

Observation 6f5ff86a-7937-42af-8b9a-6cbbb8850415 · outbound

This paper cites Difflight: a partial rewards conditioned diffusion model for traffic signal control with missing data.

Incomplete Data, Complete Dynamics: A Diffusion Approach Difflight: a partial rewards conditioned diffusion model for traffic signal control with missing data

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.113296Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:3f13bc15049b6445acdf4dc1b08a4d56ca9563864977c3143f2a69f517e7e37c

Observation 10efa039-7b68-4c5b-a160-2537e95428ac · outbound

This paper cites Rethinking the diffusion models for missing data imputation: A gradient flow perspective.

Incomplete Data, Complete Dynamics: A Diffusion Approach Rethinking the diffusion models for missing data imputation: A gradient flow perspective

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.104489Z

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.

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Observation 04c817ef-449b-410b-a147-28eb19256812 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Incomplete Data, Complete Dynamics: A Diffusion Approach Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 9

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verified exact
local_arxiv, observed 2026-05-18T14:21:28.305138Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:a69904cdac169f1a3f9b59d1aac04f36e5853c8765d029f64befc555c8f91792

Observation 62a5ba14-bfee-402d-a7d6-c10d327b3552 · outbound

This paper cites Artificial intelligence for weather forecasting.

Incomplete Data, Complete Dynamics: A Diffusion Approach Artificial intelligence for weather forecasting

Reference 10

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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 2026-08-07T06:34:17.273281+00:00.

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Observation acdecfaa-9429-48a1-ac31-203c15d0975b · outbound

This paper cites Latentpaint: Image inpainting in latent space with diffusion models.

Incomplete Data, Complete Dynamics: A Diffusion Approach Latentpaint: Image inpainting in latent space with diffusion models

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.073070Z

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.

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Observation 937e4da3-a278-41f3-80c8-2910f2b66caf · outbound

This paper cites Sadi: Similarity-aware diffusion model-based imputation for incomplete temporal ehr data.

Incomplete Data, Complete Dynamics: A Diffusion Approach Sadi: Similarity-aware diffusion model-based imputation for incomplete temporal ehr data

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.062546Z

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.

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Observation a42c0e8e-9ab6-4e4b-91a0-513153dee3a4 · outbound

This paper cites Ambient diffusion: Learning clean distributions from corrupted data.

Incomplete Data, Complete Dynamics: A Diffusion Approach Ambient diffusion: Learning clean distributions from corrupted data

Reference 13

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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 2026-08-07T06:34:17.273281+00:00.

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Observation 5fce4b5f-f05f-4557-bbb2-f70c1d07d4ed · outbound

This paper cites Learning signal-agnostic manifolds of neural fields.

Incomplete Data, Complete Dynamics: A Diffusion Approach Learning signal-agnostic manifolds of neural fields

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.048237Z

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.

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Observation 4035f401-5d6a-4df2-b3df-75c82cdabdf4 · outbound

This paper cites Causal deciphering and inpainting in spatio-temporal dynamics via diffusion model.

Incomplete Data, Complete Dynamics: A Diffusion Approach Causal deciphering and inpainting in spatio-temporal dynamics via diffusion model

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.033484Z

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.

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Observation 9610a099-0523-46d4-bde2-94e51a89b59b · outbound

This paper cites From data to functa: Your data point is a function and you can treat it like one.

Incomplete Data, Complete Dynamics: A Diffusion Approach From data to functa: Your data point is a function and you can treat it like one

Reference 16

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verified exact
arxiv_id, observed 2026-05-18T14:21:28.289260Z

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.

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Observation 255db185-c13a-499b-8ccc-322397cdbef1 · outbound

This paper cites Tweedie’s formula and selection bias.

Incomplete Data, Complete Dynamics: A Diffusion Approach Tweedie’s formula and selection bias

Reference 17

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.042519Z

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.

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Observation 1cd868e0-86dd-48ca-b904-c908ea96ec2a · outbound

This paper cites Score Matching With Missing Data.

Incomplete Data, Complete Dynamics: A Diffusion Approach Score Matching With Missing Data

Reference 18

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arxiv_id, observed 2026-05-18T14:21:28.328718Z

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.

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Observation 09f80d09-8160-41b7-8718-9fd4731f35fc · outbound

This paper cites Machine learning and deep learning in synthetic biology: Key architectures, applications, and challenges.

Incomplete Data, Complete Dynamics: A Diffusion Approach Machine learning and deep learning in synthetic biology: Key architectures, applications, and challenges

Reference 19

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.045198Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:c3bcc5c6dffc950f9af4e8dec24a58b51657f2ccf19da54ca3d5d115aaae910f

Observation 6bed7d13-4276-46c6-a9b1-def8b088841e · outbound

This paper cites The era5 global reanalysis.

Incomplete Data, Complete Dynamics: A Diffusion Approach The era5 global reanalysis

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 81358fea-02d4-4e34-9c53-1e5a46d9c671 · outbound

This paper cites Denoising diffusion probabilistic models.

Incomplete Data, Complete Dynamics: A Diffusion Approach Denoising diffusion probabilistic models

Reference 21

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:f7b6863bed40116df82c715d3d5afcd28fa2e28e1f08dcd672d2c93a818e0797

Observation a5c9f384-0d60-49d6-8b13-4e54c0414b79 · outbound

This paper cites Temporally coherent completion of dynamic video.

Incomplete Data, Complete Dynamics: A Diffusion Approach Temporally coherent completion of dynamic video

Reference 22

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.059494Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:450c3c4396c113931c8a4b82867861ec8193a1ed982802d5f4f50331955f4aa0

Observation 1c5d2ed1-de46-472f-a980-a8ce0d5edcd3 · outbound

This paper cites DiffusionPDE: Generative PDE-Solving Under Partial Observation.

Incomplete Data, Complete Dynamics: A Diffusion Approach DiffusionPDE: Generative PDE-Solving Under Partial Observation

Reference 23

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verified exact
arxiv_id, observed 2026-05-18T14:21:28.276864Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:c2c20619e6b2c64d07b5624436a9d401e25fc81edc412161ee76cc6156c3dd38

Observation f26e0f8b-807d-410c-b097-a40e80c2d85e · outbound

This paper cites not-MIWAE: Deep Generative Modelling with Missing not at Random Data.

Incomplete Data, Complete Dynamics: A Diffusion Approach not-MIWAE: Deep Generative Modelling with Missing not at Random Data

Reference 24

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verified exact
arxiv_id, observed 2026-05-18T14:21:28.301265Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:9dbf0cae848e6c91356a5c3e1e4d2494f32997044bca3cee4594a2112dc67475

Observation bf63928d-bd67-4c38-a8d2-bb0493561b16 · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Incomplete Data, Complete Dynamics: A Diffusion Approach Analyzing and improving the training dynamics of diffusion models

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.030688Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:a6399f997e191b3fa7c9d7f861d450e3c233c0372ff5a374ce6be0e9396b62c8

Observation c3d1b892-fcb4-45ca-9dd3-cabc143d6848 · outbound

This paper cites Noise2score: tweedie’s approach to self-supervised image denoising without clean images.

Incomplete Data, Complete Dynamics: A Diffusion Approach Noise2score: tweedie’s approach to self-supervised image denoising without clean images

Reference 26

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.088505Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:2d2cdf25d35d2240f62b0ab5cc966c2aa1afc714592f0514408ef6a0083f19fc

Observation 5ee34003-575a-4d54-b833-18d52792668a · outbound

This paper cites Diffusion models for audio restoration: A review [special issue on model-based and data-driven audio signal processing].

Incomplete Data, Complete Dynamics: A Diffusion Approach Diffusion models for audio restoration: A review [special issue on model-based and data-driven audio signal processing]

Reference 28

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.022164Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:e626843c2be6225417520c000d19a756f66df8143c0062bc826f927e3ebd466f

Observation 2a20419d-2578-45e2-b047-45b04000110f · outbound

This paper cites Learning from irregularly-sampled time series: A missing data perspective.

Incomplete Data, Complete Dynamics: A Diffusion Approach Learning from irregularly-sampled time series: A missing data perspective

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.016436Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:c76e1a18571efb5e7877463450f25176bec222cbcc00bbb815626e7ba76568d0

Observation b32b3baa-33f4-4b71-b1fa-191097a4970e · outbound

This paper cites MisGAN: Learning from Incomplete Data with Generative Adversarial Networks.

Incomplete Data, Complete Dynamics: A Diffusion Approach MisGAN: Learning from Incomplete Data with Generative Adversarial Networks

Reference 30

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verified exact
local_arxiv, observed 2026-05-18T14:21:28.268713Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:d8191f724ffa5a39cea8465996e20d49a29a715eec3881bffd34a67eddfed80e

Observation 6204665a-747b-4151-99ee-d4cbbf872ac8 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Incomplete Data, Complete Dynamics: A Diffusion Approach Fourier Neural Operator for Parametric Partial Differential Equations

Reference 31

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verified exact
local_arxiv, observed 2026-05-18T14:21:28.272553Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:a1ed656584d8d3a15a0a9f0506bae96aad13c20e0a8f45525c00573becc52fad

Observation 1cab3cde-813b-4f21-b1dc-22b74baae53a · outbound

This paper cites I$^2$SB: Image-to-Image Schr\"odinger Bridge.

Incomplete Data, Complete Dynamics: A Diffusion Approach I$^2$SB: Image-to-Image Schr\"odinger Bridge

Reference 32

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verified exact
arxiv_id, observed 2026-05-18T14:21:28.314137Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:134a17781974f00b5f13fcf5f8abf01e3a530d87552d255012faba46d91f037d

Observation d8c4e09f-5d03-49cd-9341-22c7f7766060 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Incomplete Data, Complete Dynamics: A Diffusion Approach Repaint: Inpainting using denoising diffusion probabilistic models

Reference 33

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.019396Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:b4a74ae9ad6d08f6d2be2564a813e308bb905b92dfe977f3abc62ab6a61a32e1

Observation 18305966-92c1-485f-9852-04072f479fc9 · outbound

This paper cites Physics-informed neural networks for pde problems: a comprehensive review.

Incomplete Data, Complete Dynamics: A Diffusion Approach Physics-informed neural networks for pde problems: a comprehensive review

Reference 34

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.028017Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:443f75d09cc7c651b224d4fbb461f05a2fb4fc15ed1360c04ee5ea97a8e7068e

Observation 77606f06-a4b8-4eb6-a832-3fffca300074 · outbound

This paper cites Vaem: a deep generative model for heterogeneous mixed type data.

Incomplete Data, Complete Dynamics: A Diffusion Approach Vaem: a deep generative model for heterogeneous mixed type data

Reference 35

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verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.050885Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:d0981695c7793156865696e4674856631de68e15ac4dbc9e469391c9c01c541c

Observation 30d954b9-43ea-41f9-aeb3-4d1e848dbc53 · outbound

This paper cites When physics meets machine learning: A survey of physics-informed machine learning.

Incomplete Data, Complete Dynamics: A Diffusion Approach When physics meets machine learning: A survey of physics-informed machine learning

Reference 36

Resolution
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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.

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Observation 0c74cf3f-7a7f-413e-825e-717a79a9dc9c · outbound

This paper cites MissDiff: Training Diffusion Models on Tabular Data with Missing Values.

Incomplete Data, Complete Dynamics: A Diffusion Approach MissDiff: Training Diffusion Models on Tabular Data with Missing Values

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:21:28.323387Z

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.

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Observation 80ab4eed-d04d-4c0b-8b34-4ac643c44f82 · outbound

This paper cites Machine learning empowering drug discovery: Applications, opportunities and challenges.

Incomplete Data, Complete Dynamics: A Diffusion Approach Machine learning empowering drug discovery: Applications, opportunities and challenges

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.110568Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:32e3d0cf2ec5340b1a08130dbef25ed2c89a526108c2858bdbb1067b4d9555fc

Observation f2229533-9a29-47e9-8657-7a9d50d8a330 · outbound

This paper cites Palette: Image-to-image diffusion models.

Incomplete Data, Complete Dynamics: A Diffusion Approach Palette: Image-to-image diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.115976Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:8caea1d6da2adf16aa99cf06f66b068146a1c23627005b4609e0ee72480391aa

Observation 022b8f57-5793-4b1b-a6e8-c7207bea048f · outbound

This paper cites CFMI: Flow Matching for Missing Data Imputation.

Incomplete Data, Complete Dynamics: A Diffusion Approach CFMI: Flow Matching for Missing Data Imputation

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:21:28.334740Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:629f2fc15d0feb95ad58476f18b2834e28cf3d848800f4ac3c9423dc0b27e977

Observation d0ebec2f-9e26-4cea-9021-e651cedf41aa · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Incomplete Data, Complete Dynamics: A Diffusion Approach Generative modeling by estimating gradients of the data distribution

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.107853Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:91350c7f81eeeed651fa4ca20b3ea5afbafd8ed1c30c6eaffe5ac15e0be51782

Observation 056e9594-b825-4f93-a221-cce2495ac154 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Incomplete Data, Complete Dynamics: A Diffusion Approach Score-Based Generative Modeling through Stochastic Differential Equations

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-18T14:21:28.309337Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:fb75829d415c622e6707e02541cc78cda439a24bce61049ce6df85d3903f6dce

Observation 522a406b-cf71-4dfe-84aa-03847acfde03 · outbound

This paper cites An image inpainting technique based on the fast marching method.

Incomplete Data, Complete Dynamics: A Diffusion Approach An image inpainting technique based on the fast marching method

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.098705Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:5eacf1049d1dcb62e8cab1b98d0d44dbff6da0243a5dc427a662a7d37aedb159

Observation 11dd1ce4-a1ca-497d-ab25-ac8ebabcccdd · outbound

This paper cites Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.

Incomplete Data, Complete Dynamics: A Diffusion Approach Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:21:28.319110Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:dff08411b5440473494f308f748ec34e392ec4d31cff99b2e42a7a671978192c

Observation 9342046b-916a-4a96-b4e6-b38ce8e8b688 · outbound

This paper cites Restart sampling for improving generative processes.

Incomplete Data, Complete Dynamics: A Diffusion Approach Restart sampling for improving generative processes

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.092179Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:328c8c7e0a351774179875603bb264721596b2eaa2d0ac559442a8d2ff828383

Observation 81d30b00-5d40-4e4f-8950-8e3f85573427 · outbound

This paper cites Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations.

Incomplete Data, Complete Dynamics: A Diffusion Approach Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:21:28.297603Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:18f6762cf53509c67a4d72da04e78cfeea1f3514a5298721504d2d3d1bc49768

Observation a83f6bc7-fe71-4547-bb44-79d35d8f1aaf · outbound

This paper cites Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge.

Incomplete Data, Complete Dynamics: A Diffusion Approach Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:21:28.280874Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:d41f752fe6f226ac973f068e7e60e30d296d92d2f6a6a7b74a7291d70714ff00

Observation a4c155b2-14be-4499-80ba-a55ccdaaf462 · outbound

This paper cites Diffputer: Empowering diffusion models for missing data imputation.

Incomplete Data, Complete Dynamics: A Diffusion Approach Diffputer: Empowering diffusion models for missing data imputation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.095414Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:47601fcaeb8caaa3fa0028713a7e807770252d78bdf13613e826d95f29f66002

Observation 9383e7c2-a426-4b32-a62d-2dad66e2e3d1 · outbound

This paper cites Machine learning methods for weather forecasting: A survey.

Incomplete Data, Complete Dynamics: A Diffusion Approach Machine learning methods for weather forecasting: A survey

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.101473Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:981e56fc9e93064529a41eb7cf61463358c2f6d8852473398c8d6b87fd128567

Observation 948c766a-4ac0-41e0-90ae-1e53b1a0ea0e · outbound

This paper cites Improved techniques for maximum likelihood estimation for diffusion odes.

Incomplete Data, Complete Dynamics: A Diffusion Approach Improved techniques for maximum likelihood estimation for diffusion odes

Reference 50

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:c24509ff1069153028977db4d42f3b2e7a7be39864b209aa07ac098afc36b2d5

Observation b284066f-72cd-4df0-a687-7fb5c497150a · outbound

This paper cites Generating physical dynamics under priors.

Incomplete Data, Complete Dynamics: A Diffusion Approach Generating physical dynamics under priors

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:21:28.293176Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:f184658983475e62c9c15571c65df2f2df66ddc2fbe8d968edc2254191f4ba52

Observation 58c8f2bf-f7f0-4b93-8320-e540461aeada · outbound

This paper cites Diffusion probabilistic fields.

Incomplete Data, Complete Dynamics: A Diffusion Approach Diffusion probabilistic fields

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.080798Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:321c15eefaa9d4fd6cc1e5f49bf71a6bc3feafc31f1a14ee65784e03de76b1be

Observation 176a34e5-2379-4abb-a5ea-3e711e06ffbb · outbound

This paper cites write newline.

Incomplete Data, Complete Dynamics: A Diffusion Approach write newline

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.084669Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:af53d9f0cbb453cead613b7700db6df6e3ca3add9a4bbdce610c62b33dca3bc8

Observation f00d2edc-d9e3-408c-87ef-1e1c01fb9a3b · outbound

This paper cites @esa (Ref.

Incomplete Data, Complete Dynamics: A Diffusion Approach @esa (Ref

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T14:21:29.077253Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:d50be1f589026fa91393c11022af112df7a87c23282fbcd7510aef317c84036e

Observation 40603356-4b1d-43a6-9c42-2712fb821cf2 · outbound

This paper cites an unresolved cited work.

Incomplete Data, Complete Dynamics: A Diffusion Approach Unresolved cited work

Reference 55

Resolution
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raw_fallback, observed 2026-05-18T14:21:29.065923Z

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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:d6702adc9b79679c435b672f920154ec30dbb81c887973d7402260e569108fed

Observation 976f4e32-648c-46f8-8061-19df496e2f55 · outbound

This paper cites an unresolved cited work.

Incomplete Data, Complete Dynamics: A Diffusion Approach Unresolved cited work

Reference 56

Resolution
verified exact
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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.

source=arxiv_source observed=2026-05-18T14:19:22.481700Z digest=sha256:f181eb6c4274b32027952dbc46156627ff2eed3742f1d5b163c958e5d8c2417a

Pith citing papers

Observation a6800139-8486-4a5b-bf2c-447eb54ca2db · 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 Incomplete Data, Complete Dynamics: A Diffusion Approach

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:02:47.345057Z

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.

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