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Paper Citation Record · LEDGER

A Variational Perspective on Solving Inverse Problems with Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2305.04391.

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

pith.paper-citation-record.v1
2305.04391 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:27:22.241456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:17.813992Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5e2d1da5-93a7-4ac2-8caf-68925c51c985 · inbound

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images cites this paper.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 9

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no resolver link, observed 2026-08-10T14:27:22.241456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:27:22.241456Z digest=sha256:e2a4267be5728f4d29ba83f29ab2c2b2798c30b859efe09ba8506029c8140a1f

Observation 74a13cb2-7d78-45a8-a2f9-d63583e464dd · 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 A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 28

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no resolver link, observed 2026-08-09T22:03:03.557319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:03:03.557319Z digest=sha256:9d1b1bf9dac1425dbb28a2ed37612434b5deeae98726b56c4d884bcb55ca94df

Observation d02002a4-5ef9-4ea0-a4b9-d83d6e0f0e65 · inbound

Dual Ascent Diffusion for Inverse Problems cites this paper.

Dual Ascent Diffusion for Inverse Problems A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 27

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arxiv_id, observed 2026-05-19T14:27:24.130795Z

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=2026-05-19T14:26:14.468161Z digest=sha256:934341183441d5410076592b6b807d4287316a8eb27b3030bba14fd2b2f81feb

Observation 6ecd6897-0225-4980-be04-f09e7e6c6fc8 · inbound

Real-Time Execution of Action Chunking Flow Policies cites this paper.

Real-Time Execution of Action Chunking Flow Policies A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 42

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verified exact
arxiv_id, observed 2026-05-15T14:18:51.789311Z

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=2026-05-15T14:18:51.613045Z digest=sha256:0797d3e189140429bfe1d1659208179a0095159965c3ac25eab7efc38f115b60

Observation 8793694d-3753-4d86-9ec1-d0fa25883caa · inbound

Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation cites this paper.

Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 23

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no resolver link, observed 2026-08-06T17:52:26.668644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:26.668644Z digest=sha256:cf9395f11562cf274e1b0c4a7128a2b70d30d3b2b90990355e1681b24575fa98

Observation d043de6f-2cf6-4bf9-8dbe-f6ef3bbad655 · inbound

Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators cites this paper.

Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 23

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verified exact
arxiv_id, observed 2026-05-19T04:12:02.546605Z

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=2026-05-19T04:07:42.061343Z digest=sha256:74f508bca74333c8b833fdfa952dc6abe206b164d5a86d8a8687de05b4a23383

Observation b08483f0-20ad-4943-bfce-ef689c2c2500 · inbound

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models cites this paper.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 27

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no resolver link, observed 2026-08-06T10:18:26.953329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:18:26.953329Z digest=sha256:212b35abb2646972178e3f25d09d8799cce8ba3b09fdedce0e895bf5767df684

Observation eb1d4278-f573-45d0-a443-97c2db38b984 · 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 A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 28

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no resolver link, observed 2026-08-05T11:12:14.564278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:12:14.564278Z digest=sha256:d176f422ac75ec528a3dbd95d8b405ac3f6497d3cbbfe30ec727c7c975ad86ae

Observation 8a57f316-d670-4c89-9748-4948734deaf6 · inbound

Local MAP Sampling for Diffusion Models cites this paper.

Local MAP Sampling for Diffusion Models A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 9

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no resolver link, observed 2026-08-04T11:15:56.394774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:15:56.394774Z digest=sha256:f9d573e12b38aeb69a64aca1605632b1ee6aa6a973d814bfb6842428231242e3

Observation 8e5b24fa-9ddb-4ecd-8901-bf5de99333e9 · inbound

Jacobian-Aware Posterior Sampling for Inverse Problems cites this paper.

Jacobian-Aware Posterior Sampling for Inverse Problems A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 20

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no resolver link, observed 2026-08-03T20:50:02.717550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 28d68739-5cf5-4fb9-91be-f57343661b80 · inbound

FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers cites this paper.

FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 15

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verified exact
arxiv_id, observed 2026-05-17T00:43:45.331218Z

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=2026-05-17T00:41:41.917009Z digest=sha256:09aa7f06d446fb90a2f83b730a4016e5160932ba54be9c24218859b63bb2afee

Observation 5968805b-37bc-468d-9473-65892515a10b · inbound

Solving Inverse Problems with Flow-based Models via Model Predictive Control cites this paper.

Solving Inverse Problems with Flow-based Models via Model Predictive Control A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 33

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no resolver link, observed 2026-08-03T06:26:57.224032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T06:26:57.224032Z digest=sha256:d21e38d9638703c707f3a7c195feb8834c39fee2bcd1bb73c3f920d6fa8a4c47

Observation d4b94c1a-ac43-45f7-97b0-72c52615f181 · inbound

Sample-efficient evidence estimation of score based priors for model selection cites this paper.

Sample-efficient evidence estimation of score based priors for model selection A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 10

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verified exact
arxiv_id, observed 2026-05-15T20:30:17.988941Z

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=2026-05-15T20:26:46.620350Z digest=sha256:bd370616b97f5cf57012944e299d4b30bf0645cc4f6e555f64c561e7d49ef528

Observation 780822a2-22b2-4cca-9c90-4dbbab78924b · inbound

DiLO: Decoupling Generative Priors and Neural Operators via Diffusion Latent Optimization for Inverse Problems cites this paper.

DiLO: Decoupling Generative Priors and Neural Operators via Diffusion Latent Optimization for Inverse Problems A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 15

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verified exact
arxiv_id, observed 2026-05-11T09:31:05.653352Z

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=2026-05-10T15:58:12.225880Z digest=sha256:2f8352c65649a3e09b1cd3d515b73957c617552b8dca3343768ce04d5dd3311b

Observation 81087f8b-93f6-4f35-a54c-e10daba00c05 · inbound

Tempered Guided Diffusion cites this paper.

Tempered Guided Diffusion A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 32

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verified exact
arxiv_id, observed 2026-05-12T09:06:25.316645Z

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=2026-05-07T13:02:56.155248Z digest=sha256:22916bcab4b37ffc520021b8f24bd6f55e9f220f529a6bf2b2dd7f0d5c0fa384

Observation ffe4fa0b-7326-4a19-8a79-0d9c91d4c3ca · inbound

Principled Design of Diffusion-based Optimizers for Inverse Problems cites this paper.

Principled Design of Diffusion-based Optimizers for Inverse Problems A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 48

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metadata mismatch
arxiv_id, observed 2026-05-13T02:37:07.806826Z

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=arxiv_source observed=2026-05-13T02:35:50.993680Z digest=sha256:a77b659b0179683c7b157c75313456abb74cf2ac40ff68c996b391999e1623c6

Observation 780ad357-0548-4633-b956-97b96b605980 · inbound

Proximal-Based Generative Modeling for Bayesian Inverse Problems cites this paper.

Proximal-Based Generative Modeling for Bayesian Inverse Problems A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 113

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metadata mismatch
arxiv_id, observed 2026-05-14T17:57:33.547336Z

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=arxiv_source observed=2026-05-14T17:53:42.816596Z digest=sha256:f5c8c0884fef0c230eb34e04d6542085251535cef8e8cb05c90618938a027659

Observation 32baf6b6-2526-432d-ab7b-6c639b4ec9fe · inbound

Unbiased Diffusion Variational Inversion via Principled Posterior Matching cites this paper.

Unbiased Diffusion Variational Inversion via Principled Posterior Matching A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 19

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verified exact
arxiv_id, observed 2026-06-30T12:34:39.272576Z

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=2026-06-30T12:12:44.016249Z digest=sha256:85fb121980607436fe27a125ac1f13c2d331ca55d9140d4b239cc45f84393c09

Observation 1fc7f494-cb66-4a59-90e3-4098a49e98af · inbound

Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates cites this paper.

Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:36:17.815428Z

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=2026-06-28T15:11:05.070193Z digest=sha256:b3cdbb6b689945831282705643c10bc645a901599fd2d100a04b52e38d6cab2f

Observation 03ea3b41-1ced-4596-87d9-c1c0cf9de0f5 · 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 A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 62

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unresolved
no resolver link, observed 2026-08-01T12:52:54.662001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:52:54.662001Z digest=sha256:f298dbec257a7fe8ba44cd38917b27466f012fdeee44f9c9e8852e5c196e3b37