Pith. sign in

Paper Citation Record · LEDGER

A Variational Perspective on Solving Inverse Problems with Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:52:26.668644Z

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

  • 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 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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T14:26:14.468161Z digest=sha256:62a3358b9fc66fe320f9e9544e5ade37e9950784361c23e0eb95171928ff0660

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

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

source=pdf_text observed=2026-05-15T14:18:51.613045Z digest=sha256:b02597c390336dd729d09fc95e0eac0df50516215d07afe8401d0ad7424defc4

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

Resolution
unresolved
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=sha256:0c647e7a0c38b7d92cc7cf8bb06d7c1eb3667054fa1b9cb45c80b718343233d6

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

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

source=pdf_text observed=2026-05-19T04:07:42.061343Z digest=sha256:ce1963317aca7dff4af0d26e83ebd055f797e16b43dfac282dc12a07d8753d54

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

Resolution
unresolved
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:addbe9207690d455b05ff6cbe869db0c44a99ec7eedaeacebcd445bdef40f4f8

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

Resolution
unresolved
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:d68dc1789dd01ca2786b49a2b4e31abb30321364ba301682b6c04176793e0994

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

Resolution
unresolved
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:ec17b133dbff01317b2974199d4c5f7bb7ac8811995d3251812b21661dfebaed

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:50:02.717550Z digest=sha256:e07ff946aaca6435389200e166780b5fd85459e843a5da4cf8d5839547b93439

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

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

source=pdf_text observed=2026-05-17T00:41:41.917009Z digest=sha256:f37d661afc3c83ef009db0786693d25effc14d2f8ff364f449243f2079b2ef10

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

Resolution
unresolved
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:abd6a301bec9abc6634cafa95229a4829776b892b594f1237f4dd0242ec79d74

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

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

source=pdf_text observed=2026-05-15T20:26:46.620350Z digest=sha256:c2f9f6a818afcad7d847cdf0209751c69ff18095ec86a4c80c2ee5a10cf508d2

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

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

source=pdf_text observed=2026-05-10T15:58:12.225880Z digest=sha256:75fb92ff0c657202dd1e9d0b236c35ec6ee3d8bcc0d12d776cdeb6559482973c

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

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

source=pdf_text observed=2026-05-07T13:02:56.155248Z digest=sha256:00f7f91d4b6a093608788dab045f263344c54ccc1e33988c974dac652b82d985

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

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

source=arxiv_source observed=2026-05-13T02:35:50.993680Z digest=sha256:c2494b92f6e5343a66c26dcf3c3304c710959d31d5d2c024cbb9c682f2388cac

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

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

source=arxiv_source observed=2026-05-14T17:53:42.816596Z digest=sha256:23b21d0ac6548c801a88f9b78ad31fd359f4b33713314adacf6f295256012980

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

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

source=pdf_text observed=2026-06-30T12:12:44.016249Z digest=sha256:5ad02391a0f4454940e7d8b88f17a2f12faad4df5b6f087008a31a28639cfc64

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

source=pdf_text observed=2026-06-28T15:11:05.070193Z digest=sha256:53ae744043ce460d1c6951edc270065b1f2e053ba346e77f0c576f7be6c8ae60

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

Resolution
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=sha256:942d37f8e390ce55e801c4dc194ed85d1c6fdd89e3798595149ea7074f80623c