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Paper Citation Record · LEDGER

Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.16824.

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

pith.paper-citation-record.v1
2502.16824 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:06:36.949586Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:17:29.667493Z

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 825c5542-20af-49e2-929f-69a774b0baef · inbound

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

Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:17:29.669086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T18:19:41.476212Z digest=sha256:2fd3f3909f61bfdc8d06a3f4daa76756cdf75af3543d1fec391e82575f3471ba

Observation bbc69561-8b74-4f67-9fdc-7ef64ec0e02e · inbound

Generative Refinement for Low-Budget Black-Box Optimization cites this paper.

Generative Refinement for Low-Budget Black-Box Optimization Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:27:08.374364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T16:21:08.946990Z digest=sha256:9e4f987b552adba497d642c2370669d29e1f6aff38d17db2e72a87016c28ea31

Observation 4123882b-e0a3-4c71-849e-b2fd64482296 · inbound

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering cites this paper.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T18:06:36.949586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:06:36.949586Z digest=sha256:659f3af2ebf36ce61c2c42cfd4c60981fb5fbfc29c1f390893a4cf3b84267d6f