Paper Citation Record · LEDGER

Prompt-tuning latent diffusion models for inverse problems

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.01110.

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

pith.paper-citation-record.v1
2310.01110 v1

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 2026-08-12T10:10:10.197678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:32:19.106028Z

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 c99a6b8b-7c7c-4da8-b8d0-c628d2614972 · inbound

VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models cites this paper.

VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models Prompt-tuning latent diffusion models for inverse problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T10:10:10.197678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e34abe5-eb2e-46be-86a4-2c6c53acd278 · inbound

Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint cites this paper.

Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint Prompt-tuning latent diffusion models for inverse problems

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T05:12:24.211220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b28e05-ddcb-446b-968b-9aca3fc77d30 · 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 Prompt-tuning latent diffusion models for inverse problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T22:03:03.467364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3adff6-6731-4a76-83d5-f300996b6e04 · inbound

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation cites this paper.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Prompt-tuning latent diffusion models for inverse problems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.490936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27a9440a-466d-4eb8-b1eb-fb72e56280d8 · inbound

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment cites this paper.

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment Prompt-tuning latent diffusion models for inverse problems

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:32:19.108650Z

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.

Observation e38f890f-41e0-4f95-a483-637a6787cb3b · inbound

Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization cites this paper.

Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization Prompt-tuning latent diffusion models for inverse problems

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:37:32.776912Z

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.

Observation 16fa489c-1025-4972-82a0-01ec1f1862fd · inbound

Optimizing Diffusion Priors in Image Reconstruction from a Single Observation cites this paper.

Optimizing Diffusion Priors in Image Reconstruction from a Single Observation Prompt-tuning latent diffusion models for inverse problems

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:24:47.071998Z

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.

Observation d27f3362-3450-49d8-8a00-b6bfe90fc0c2 · inbound

Continuous 3-D Latent Diffusion for Medical Image Generation and Reconstruction cites this paper.

Continuous 3-D Latent Diffusion for Medical Image Generation and Reconstruction Prompt-tuning latent diffusion models for inverse problems

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T20:54:15.795214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.