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Paper Citation Record · LEDGER

Noise Estimation for Generative Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2104.02600.

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

pith.paper-citation-record.v1
2104.02600 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:23:51.901830Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:36:00.813956Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 d7f5fa6e-3399-48db-9b5b-def3b37f4df3 · inbound

High-Resolution Image Synthesis with Latent Diffusion Models cites this paper.

High-Resolution Image Synthesis with Latent Diffusion Models Noise Estimation for Generative Diffusion Models

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:02:10.130786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T22:02:09.899347Z digest=sha256:c91ebd2c7ac816fe3503eea0af17a93e9311f029e40a6c428e332631c9145155

Observation b10e55da-ef75-4851-9cd6-fffba108a2d0 · inbound

Progressive Distillation for Fast Sampling of Diffusion Models cites this paper.

Progressive Distillation for Fast Sampling of Diffusion Models Noise Estimation for Generative Diffusion Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:37:44.716105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T09:37:44.394785Z digest=sha256:7c7fa0760de62ad5453fe49a41f7bd3c3164e1a444280b230d40be796dc03163

Observation ece18379-7061-45b4-881a-9df80e36004f · inbound

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models cites this paper.

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Noise Estimation for Generative Diffusion Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:54:11.791909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T07:54:11.760336Z digest=sha256:7f32bbf652e9d098349bdbb8e2e9b720dc0f71a6edafcfe8d3e5a1ce35faa54b

Observation 5b86b04f-34b6-41ce-99c5-26cf766b7993 · inbound

Improved DDIM Sampling with Moment Matching Gaussian Mixtures cites this paper.

Improved DDIM Sampling with Moment Matching Gaussian Mixtures Noise Estimation for Generative Diffusion Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:36:00.817793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T05:34:56.939751Z digest=sha256:738e1bfe57802c53854839bf0c2482aa98b258510a74e13eb82b507198dad68e

Observation 1c57d2c8-12c1-4bc4-9780-bb5b395601ea · inbound

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation cites this paper.

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation Noise Estimation for Generative Diffusion Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:12:38.928358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T06:08:14.988386Z digest=sha256:a14e51b60a459664d4b56029dbc6b4cbb99f8378338b7ba8932488a4c84968bf

Observation 3acc7464-9a0b-4157-a939-0df97a189b57 · inbound

ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration cites this paper.

ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration Noise Estimation for Generative Diffusion Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:51.901830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:51.901830Z digest=sha256:f8005b34905c4edd8851f3d43bd0b46865cbe6ef87ad7b3313c48025464b8b4f

Observation 0c0c25bc-682b-4111-a575-781bf798c677 · inbound

fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting cites this paper.

fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting Noise Estimation for Generative Diffusion Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:28.623253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:35:28.623253Z digest=sha256:cc36db9c1e040183e59a09a713126d73796090d0679510222e355c210097a044

Observation 38b85b69-5fde-45f2-9566-7cef9e75d3e5 · inbound

Lipschitz-Guided Design of Interpolation Schedules in Generative Models cites this paper.

Lipschitz-Guided Design of Interpolation Schedules in Generative Models Noise Estimation for Generative Diffusion Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:54:22.827160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T21:53:15.115078Z digest=sha256:95fc9a4f60c65c55e3c1447e32ca1582cb7f63a6d33656895f192fa70e300dff

Observation 1b487298-3bef-493b-8c9c-02314d751f2e · inbound

Scale-Adaptive Generative Flows for Multiscale Scientific Data cites this paper.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Noise Estimation for Generative Diffusion Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T11:20:15.920329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:20:15.920329Z digest=sha256:c97b484332c3881da1f1bef324e7ce0e9bcf993219ab88180bbc7aeab1eb74be

Observation 33ec4cb7-2e53-455e-9550-6885fe366cb5 · inbound

FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning cites this paper.

FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning Noise Estimation for Generative Diffusion Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T20:54:29.892344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:54:29.892344Z digest=sha256:1a37176f25d8fa6c7feb6b170f4cc828652c0a0a8ce572173106452d7bd2b4b9