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Paper Citation Record · LEDGER

Improving Diffusion Models for Inverse Problems using Manifold Constraints

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2206.00941.

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

pith.paper-citation-record.v1
2206.00941 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:31:59.844495Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T18:58:18.935920Z

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 38b9f460-d9ec-46d4-95fa-9fd50739ce5a · inbound

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

Diffusion Posterior Sampling for General Noisy Inverse Problems Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 126

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T00:54:40.036900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T00:54:39.911988Z digest=sha256:1d94ac0a1fad264fb5d9da77e1f3aa7392c60c7743cdaa5f0ce0e5468863d634

Observation 3aaf46b8-1bb1-488b-8aa9-032a60e41536 · inbound

Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling cites this paper.

Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T23:43:35.081488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:43:35.081488Z digest=sha256:203b779448500523c3d06241e20796d73f59cddaf4954ac960008836ca2c1781

Observation fc9fc221-5b8d-42aa-8915-bf9083550b98 · inbound

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior cites this paper.

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T22:03:03.462293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:03:03.462293Z digest=sha256:4f94e74f53a3a5bc21c33f4b31b3bd31df7f1570f9c061c37c829779f041509f

Observation 446d23eb-a8d4-403d-9d58-fdc8fcc7d1c9 · inbound

Incorporating Inductive Biases to Energy-based Generative Models cites this paper.

Incorporating Inductive Biases to Energy-based Generative Models Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T04:31:59.844495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:31:59.844495Z digest=sha256:60d9981ee9f35adfb1cba9e6dda70801a63fe8d89846f9b6812fdea3bf6264c9

Observation 7c8682f4-3472-4432-89dc-682db6cd7031 · inbound

Diffusion prior as a direct regularization term for FWI cites this paper.

Diffusion prior as a direct regularization term for FWI Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:41:50.584161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:41:50.584161Z digest=sha256:6f1637a100fbd10b1657445606772205f9980d3aa7a97000bc7fffd272696f35

Observation 30e17254-0695-4c96-b767-5399e89176f8 · inbound

Acoustic Waveform Inversion with Image-to-Image Schr\"odinger Bridges cites this paper.

Acoustic Waveform Inversion with Image-to-Image Schr\"odinger Bridges Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T19:43:47.280909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:43:47.280909Z digest=sha256:3af62119033e31604a7785cfbf9ecb1a16d15865ed92dd9e5dfa0ef50062324f

Observation cb3026d5-e1e8-42ad-a38f-e29b253a7cbb · inbound

Towards Realistic Hand-Object Interaction with Gravity-Field Based Diffusion Bridge cites this paper.

Towards Realistic Hand-Object Interaction with Gravity-Field Based Diffusion Bridge Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T11:12:13.955168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:12:13.955168Z digest=sha256:3a6b02b3e73e7eddd190a90c84b752f05df97677a9e959998c2be4ec8a924107

Observation 207b216b-8598-4797-a7b7-6ab05628164e · inbound

A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios cites this paper.

A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:58:18.937419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T18:57:06.742017Z digest=sha256:2bb4d0627aca346d6095621ae2910365f24d2bd46e945abed137508cfc363e71