Paper Citation Record · LEDGER

Monte Carlo guided Diffusion for Bayesian linear inverse problems

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2308.07983.

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

pith.paper-citation-record.v1
2308.07983 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:56:43.850812Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:36.587051Z

Reference resolution

0 of 0 outbound references displayed

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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 41f4faae-c4a0-4d38-b2fb-28dffb980c7e · inbound

A General Framework for Inference-time Scaling and Steering of Diffusion Models cites this paper.

A General Framework for Inference-time Scaling and Steering of Diffusion Models Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:43.850812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e120a8a9-3dc4-4753-ae2e-b2184a432522 · inbound

CoDe: Blockwise Control for Denoising Diffusion Models cites this paper.

CoDe: Blockwise Control for Denoising Diffusion Models Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.000865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d36d39b-4c1b-47bf-a577-18e7bb132944 · inbound

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo cites this paper.

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T17:34:10.211328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44ab90a2-2de9-4f43-b1de-12ff983dc20c · inbound

Local MAP Sampling for Diffusion Models cites this paper.

Local MAP Sampling for Diffusion Models Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:56.280544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d169fa-59ac-4a2d-9fb2-f2ceb26d783c · inbound

Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance cites this paper.

Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:21:13.519290Z

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.

Observation 2d52472a-35e1-4621-8322-e6e15bca8185 · inbound

A Gibbs posterior sampler for inverse problem based on prior diffusion model cites this paper.

A Gibbs posterior sampler for inverse problem based on prior diffusion model Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:09.107994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119b7e42-9272-4a56-bd35-62b3f98c8114 · 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 Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:30:18.059419Z

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.

Observation 840c2ee8-0fe2-4f95-ac52-c5cef989c2e0 · inbound

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion cites this paper.

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:00.626347Z

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.

Observation cc2b228b-a028-4b8a-a9ae-593c11dbc36e · inbound

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion cites this paper.

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:52:06.533884Z

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.

Observation 103fae3d-4e92-4589-abd2-293e7c313cdc · inbound

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate cites this paper.

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:53:09.700308Z

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.

Observation fcdcc0be-d325-4377-9c21-7a0783f417cd · inbound

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate cites this paper.

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:24:59.740313Z

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.

Observation 9471a17d-1c48-4b3c-9e59-8a2caf87a45a · inbound

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

Unbiased Diffusion Variational Inversion via Principled Posterior Matching Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:34:39.238968Z

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.

Observation 6610c6bf-f338-4772-8094-91cf371acac3 · inbound

ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging cites this paper.

ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:09:36.588883Z

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.

Observation 6a06c70e-3111-4127-84b5-6d8059b0d2f9 · inbound

Diffeomorphic Optimization cites this paper.

Diffeomorphic Optimization Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:47:05.814402Z

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.

Observation 82ff81c6-69de-46d8-8f01-7bcc0f4c8d57 · inbound

Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search cites this paper.

Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:37:06.052117Z

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.

Observation eb531f30-57ef-4ece-8079-b6439929c455 · inbound

Bootstrap Flow-Map Tree Sampling Enables Online Feedback Driven Search cites this paper.

Bootstrap Flow-Map Tree Sampling Enables Online Feedback Driven Search Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T06:09:18.074799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c241214b-dc9e-40ed-b364-7a16f70ad50c · 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 Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T12:52:54.575928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.