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Paper Citation Record · LEDGER

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2108.02938.

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

pith.paper-citation-record.v1
2108.02938 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:52:23.340274Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bf4e8a6a-3034-4fa9-911c-eaa5febb614b · inbound

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations cites this paper.

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 2

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arxiv_id, observed 2026-05-12T22:30:44.779257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 33ebe451-4c94-4fc0-9337-66e7fed17fb5 · inbound

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion cites this paper.

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 5

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arxiv_id, observed 2026-05-11T18:08:55.377497Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T18:08:55.311069Z digest=sha256:b379fefe8cbf0688df17d81772aefbec711fef57d7ed8d2b0c2273c4cace291e

Observation 8217305e-ba07-443a-941c-021bc977f63b · inbound

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow cites this paper.

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 8

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arxiv_id, observed 2026-05-10T13:17:51.558144Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:17:51.511535Z digest=sha256:bed1c86a81b92a3bf3feb6f99d27d4530ccdeb5b764c8aacd0a807f384aa47c4

Observation 8a828b35-4ae3-4c38-a12a-fcd934bfb09e · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 151

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arxiv_id, observed 2026-05-20T13:03:58.028964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:5076bf96320e002a4d198e6664c3c15cf9d729998f38ca7d648acaf0b3d3e56b

Observation 7311f6a6-45ac-4721-b413-1fea986e3b9a · inbound

SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation cites this paper.

SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 44

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arxiv_id, observed 2026-05-23T08:37:44.792920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T08:37:13.529654Z digest=sha256:f20dd33c2708d511b9d2447fc79cbef3179c2919072f1e0c4ad88a6e4101dd15

Observation f19588a5-2c9f-420b-ac58-10c2855d2afc · inbound

Regional climate risk assessment from climate models using probabilistic machine learning cites this paper.

Regional climate risk assessment from climate models using probabilistic machine learning ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 63

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arxiv_id, observed 2026-05-23T07:27:42.638182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation bb37f283-0c5d-436d-b003-c327b135e057 · inbound

Dual Ascent Diffusion for Inverse Problems cites this paper.

Dual Ascent Diffusion for Inverse Problems ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 6

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arxiv_id, observed 2026-05-19T14:27:24.118081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation e33f17e9-3c58-41a4-9b07-dac67130bbeb · inbound

Score-based Diffusion Model for Unpaired Virtual Histology Staining cites this paper.

Score-based Diffusion Model for Unpaired Virtual Histology Staining ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 3

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no resolver link, observed 2026-08-06T21:52:23.340274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 84e6d2bf-636a-494e-b33e-c58f4ebae6ab · inbound

Time-variant Image Inpainting via Interactive Distribution Transition Estimation cites this paper.

Time-variant Image Inpainting via Interactive Distribution Transition Estimation ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 45

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no resolver link, observed 2026-08-06T21:45:48.693232Z

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source=pdf_text observed=2026-08-06T21:45:48.693232Z digest=sha256:1b09ae3404f5033af1d257a93beb2f52f856da83aa133d094987cceb9f6035c3

Observation 9d015630-0407-41bd-b559-815ae6d01e45 · inbound

FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolution cites this paper.

FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolution ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 89

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no resolver link, observed 2026-08-04T19:11:18.947801Z

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source=pdf_text observed=2026-08-04T19:11:18.947801Z digest=sha256:c68806f84065795f4bd2ccf869230fb426142f2faacc385af77e91a9ee49d02e

Observation 87220f07-0de0-4025-8c82-a6f3c7bd6da1 · inbound

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation cites this paper.

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 8

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no resolver link, observed 2026-08-03T20:15:26.070930Z

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source=pdf_text observed=2026-08-03T20:15:26.070930Z digest=sha256:161f546ff2ad61d5e544443e6d565f89e9fa760a00af1bc3678c39ec787c169b

Observation 99499028-131d-4618-9397-a369bf0465b7 · inbound

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade cites this paper.

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 36

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no resolver link, observed 2026-08-03T19:13:45.432972Z

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Unavailable: canonical work link unavailable.

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Observation f506409d-84fa-4b02-8ac6-e6a17f64e2cb · inbound

LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization cites this paper.

LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 6

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verified exact
arxiv_id, observed 2026-05-16T16:08:04.447208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T16:06:20.797660Z digest=sha256:7b33b007d3a75e20990b5212cb4d8ced08d01343f10516ddbe0871dbb2e4e46a

Observation 1ba143a8-f52e-4435-88ac-9ab20fadefb1 · inbound

Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models cites this paper.

Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 4

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arxiv_id, observed 2026-05-21T13:30:12.662141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T13:27:45.428602Z digest=sha256:2cfaab84ed9207f9a74a0f6dae007db79d30e40667c7aa2a25b8f346672a23b2

Observation 4bf047c5-aa42-4de6-8c90-57bd34b6869b · inbound

Translationese as a Rational Response to Translation Task Difficulty cites this paper.

Translationese as a Rational Response to Translation Task Difficulty ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 5

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no resolver link, observed 2026-07-14T22:29:39.282608Z

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Unavailable: canonical work link unavailable.

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Observation 64f9ae34-0640-442f-b34d-d8f84cece39a · inbound

LPNSR: Optimal Noise-Guided Diffusion Image Super-Resolution Via Learnable Noise Prediction cites this paper.

LPNSR: Optimal Noise-Guided Diffusion Image Super-Resolution Via Learnable Noise Prediction ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 35

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verified exact
arxiv_id, observed 2026-05-15T07:29:50.902707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 0add42f0-ee3b-4512-b6d7-fe700e42b2b0 · inbound

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems cites this paper.

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 2

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verified exact
arxiv_id, observed 2026-05-11T00:20:51.362786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:36:38.674342Z digest=sha256:037354e2d3e9957a3a9dbe7725ab5aa1376a08bfe4bbfb7d1b90a22e9584be6d

Observation 5d7e0140-cd51-482b-b807-26abcddfc893 · inbound

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems cites this paper.

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 14

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no resolver link, observed 2026-07-13T08:47:34.631129Z

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Unavailable: canonical work link unavailable.

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Observation 8c534548-3139-4e2d-add2-b9fd657c0cae · inbound

StructDiff: A Structure-Preserving and Spatially Controllable Diffusion Model for Single-Image Generation cites this paper.

StructDiff: A Structure-Preserving and Spatially Controllable Diffusion Model for Single-Image Generation ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 49

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verified exact
arxiv_id, observed 2026-05-11T11:26:01.770304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T14:56:12.713405Z digest=sha256:095c9802993ce9e1cf26ec1d5ae0cae820dfc8befa33817dd4911cd37e534691

Observation b1583950-a4dc-4e5a-a67b-7ee9317e41ea · inbound

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns cites this paper.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 10

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arxiv_id, observed 2026-05-11T09:50:58.868171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:49:15.377492Z digest=sha256:c85bda7fae8b8afc684b73fe43440a94ecaee0243385f10e886a6b120670e1a8

Observation be0fbf85-80de-42db-94b7-cb5e6a3e6b51 · inbound

SocialMirror: Reconstructing 3D Human Interaction Behaviors from Monocular Videos with Semantic and Geometric Guidance cites this paper.

SocialMirror: Reconstructing 3D Human Interaction Behaviors from Monocular Videos with Semantic and Geometric Guidance ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 7

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arxiv_id, observed 2026-05-10T13:45:28.721750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:40:26.545640Z digest=sha256:09663bf391cb283761cd65482af81836510fd6f4e1bd7aa5632c1f878f6db8b2

Observation d42c2dd0-2273-42b7-8afd-191f8546577d · inbound

Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing cites this paper.

Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 11

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arxiv_id, observed 2026-05-10T08:17:37.574958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation b7b41484-3d1a-4300-9793-60b814846bc8 · inbound

Latent Fourier Transform cites this paper.

Latent Fourier Transform ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 7

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arxiv_id, observed 2026-05-11T12:21:06.918370Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation fd5f235c-edb6-4976-9099-6bed68641bb1 · inbound

TopoStyle: Supporting Iterative Design with Generative AI for 2.5D Topology Optimization cites this paper.

TopoStyle: Supporting Iterative Design with Generative AI for 2.5D Topology Optimization ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 14

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arxiv_id, observed 2026-05-11T14:36:07.262263Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 14da1d29-5717-46fe-9829-8f897ea81703 · inbound

Conditional Diffusion Under Linear Constraints: Langevin Mixing and Information-Theoretic Guarantees cites this paper.

Conditional Diffusion Under Linear Constraints: Langevin Mixing and Information-Theoretic Guarantees ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 1

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arxiv_id, observed 2026-05-11T17:16:08.114997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation c2f900ba-c555-45e7-9dc7-6fd799b8a298 · inbound

Spectral Guidance for Flexible and Efficient Control of Diffusion Models cites this paper.

Spectral Guidance for Flexible and Efficient Control of Diffusion Models ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 2

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arxiv_id, observed 2026-06-29T14:43:30.764348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T14:37:36.517249Z digest=sha256:66a5b3b65ead7ec955d6854ad1f2ba2d8733efc6c23de704e9d9d25e8cf340e3

Observation e15bc0a2-4cbf-4496-9584-0d5167e0fada · inbound

Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation cites this paper.

Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 10

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arxiv_id, observed 2026-07-02T16:07:08.980658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T22:59:39.440344Z digest=sha256:c693f7bb29644e449ef270de4ea2327dc44b2ec2cafcd244770a9913e701f805

Observation 049328a0-e0f9-4604-8985-a070a0bc8cfe · inbound

Provable diffusion-based posterior sampling for linear inverse problems via DDIM cites this paper.

Provable diffusion-based posterior sampling for linear inverse problems via DDIM ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 253

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no resolver link, observed 2026-08-01T12:53:10.023120Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:53:10.023120Z digest=sha256:57f854f46a76e9f143265cdb7def712d512024c36f47f31d2f17a9a9e294d17b

Observation dfd33291-660c-44df-9a2f-5b3727e7d880 · inbound

FlowForm: Synergizing Fluid Physics with Topological Consistency for Satellite Flood Synthesis cites this paper.

FlowForm: Synergizing Fluid Physics with Topological Consistency for Satellite Flood Synthesis ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 45

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no resolver link, observed 2026-08-05T11:39:46.637200Z

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Unavailable: canonical work link unavailable.

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