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Paper Citation Record · LEDGER

Particle-Filtering-based Latent Diffusion for Inverse Problems

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.13868.

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

pith.paper-citation-record.v1
2408.13868 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:34:10.314259Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T05:02:58.797258Z

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 f0f2ce80-c2d3-4937-818c-dff18de5d823 · inbound

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

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo Particle-Filtering-based Latent Diffusion for Inverse Problems

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T17:34:10.314259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:34:10.314259Z digest=sha256:400615ee45fa6199ae30240672de066c8324dd8c28319d9afecea79310e9c77e

Observation c01e2adc-808e-4f78-b384-a551f60ef92c · inbound

Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement cites this paper.

Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement Particle-Filtering-based Latent Diffusion for Inverse Problems

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-30T01:15:49.390540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-19T05:02:15.241418Z digest=sha256:ba1c1badb6fed255e94f718221ff8b0773de1d0332caea124816795736bbe15f