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Paper Citation Record · LEDGER

Diffusion Model for Data-Driven Black-Box Optimization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2403.13219.

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

pith.paper-citation-record.v1
2403.13219 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:18:59.619714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:17:29.675726Z

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 b950f94a-4309-4a71-a490-c5444c04a74c · inbound

Compositional amortized inference for large-scale hierarchical Bayesian models cites this paper.

Compositional amortized inference for large-scale hierarchical Bayesian models Diffusion Model for Data-Driven Black-Box Optimization

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:24:53.563552Z

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=2026-05-22T14:23:35.960476Z digest=sha256:794dd4d3d5babb231b3011adc8ded527d1a638d0e70a3941be75abb81368f2c0

Observation 9e9d06f5-ff22-40b2-895d-6ab96ba0ade2 · inbound

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems cites this paper.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Diffusion Model for Data-Driven Black-Box Optimization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T04:18:59.619714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:18:59.619714Z digest=sha256:038ac1a3f256da81db37fedbaf92a7abba97f53654728834a8095ce8ef694e70

Observation 35b38b14-be2d-4d3d-87cf-4609fde99f53 · inbound

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models cites this paper.

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Diffusion Model for Data-Driven Black-Box Optimization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T10:52:03.571266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:52:03.571266Z digest=sha256:bafa17b0177fe5a743b68062ae0883c95cf284f740c1cfb1f740b33e7d0616e5

Observation 9ab22c64-03f7-487c-adcf-9553fb48c5ce · inbound

A Reward-Directed Diffusion Framework for Generative Design Optimization cites this paper.

A Reward-Directed Diffusion Framework for Generative Design Optimization Diffusion Model for Data-Driven Black-Box Optimization

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T05:39:22.853514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:22.853514Z digest=sha256:b495bbd170fc31eb8b4bf7bf98a20394918712d593ceb7efa1000967a3102fbc

Observation 65583cb6-020d-4182-9c02-356a5e2912c3 · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance Diffusion Model for Data-Driven Black-Box Optimization

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:30:57.509957Z

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=2026-05-11T02:27:44.244764Z digest=sha256:86f9a8b4ce5d5ea8ed48665a95456a862ca3d6e34b440c2ec10a27ef208fd3e6

Observation 268cfb32-0475-4f38-9a25-8e11d2ab43b2 · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance Diffusion Model for Data-Driven Black-Box Optimization

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.762212Z

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=2026-05-25T06:34:46.801241Z digest=sha256:35af776b48f3bbfd20bc3f055e80a186072355c02b119a70a57ee3b860b77e6d

Observation 46e12a09-3fac-497a-a07c-56c7cfd0be84 · inbound

Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs cites this paper.

Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs Diffusion Model for Data-Driven Black-Box Optimization

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:11:23.305375Z

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=2026-05-12T03:40:48.470892Z digest=sha256:7641f1b8e07715ad60b0cd5d0f664a1631765cca0e88a3d0075cd929b1bd3cd9

Observation 37eb5f4b-89eb-402b-b063-4b2c28f7727b · inbound

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

Proximal-Based Generative Modeling for Bayesian Inverse Problems Diffusion Model for Data-Driven Black-Box Optimization

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:57:33.419806Z

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=sha256:7faec2fbf07dbbc38e16158adebedc6ee9e51dd244ce2603838106f887d79263

Observation 78af476b-749b-48ec-8267-c75ae95079e8 · inbound

GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization cites this paper.

GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization Diffusion Model for Data-Driven Black-Box Optimization

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:18:07.102183Z

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=2026-05-20T07:14:39.757279Z digest=sha256:c6add6185eb0af44db999ed32abf82e371d87a29a2468363f3d1146c98128fcc

Observation 9caf8eab-6ea9-4fbc-8580-7a108cbe6c66 · inbound

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning cites this paper.

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning Diffusion Model for Data-Driven Black-Box Optimization

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:39.417744Z

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=2026-06-30T12:09:27.409746Z digest=sha256:35491dc7088ec8408b16072730618c130ce2d0ecabcbadb3691451f719197102

Observation cb3e9ed5-c877-49d4-928c-afb254c493f9 · inbound

Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling cites this paper.

Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling Diffusion Model for Data-Driven Black-Box Optimization

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:26:24.918684Z

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=2026-06-28T11:58:18.626259Z digest=sha256:d01e0f55222aafdad9f41d625a9d830f9d29d1fc7988f27e244bf714e04f0876

Observation 4f9c4b2a-dfb8-4474-aa37-8939333e2965 · inbound

Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models cites this paper.

Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models Diffusion Model for Data-Driven Black-Box Optimization

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:17:29.677226Z

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=2026-06-27T18:19:41.476212Z digest=sha256:47a7c1e9041402eedaa433e37a7191b6d3f8fecb542167b99a30d55530813e38

Observation 00738d9f-d53c-4794-8a59-8a71df4df13f · 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 Diffusion Model for Data-Driven Black-Box Optimization

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-01T12:52:55.885061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:52:55.885061Z digest=sha256:ba49b5482aabdf0caf5873700760403335b07b53e24c6417a4cad15945072211

Observation 89ac9d85-0056-41ae-8ab1-25ce3f540c38 · inbound

Optimal Reward Shaping: Autonomous Car Parking Case Study cites this paper.

Optimal Reward Shaping: Autonomous Car Parking Case Study Diffusion Model for Data-Driven Black-Box Optimization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-30T17:40:27.384689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T17:40:27.384689Z digest=sha256:064f7584104c156abd997d0053f3e17eca6c0ff11cdf2187333f0efafe5051a9