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Paper Citation Record · LEDGER

Lossy Compression with Pretrained Diffusion Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.09815.

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

pith.paper-citation-record.v1
2501.09815 v1

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 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T02:50:28.619370Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:07:36.775462Z

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 7f85470a-b56b-4474-a118-dd812fab6b9c · inbound

GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow cites this paper.

GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow Lossy Compression with Pretrained Diffusion Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:33:16.083908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T23:31:43.868878Z digest=sha256:8a553b57f471b5cc6945e39421aa2ae85a82330b94ea653666ba2495a8392574

Observation 21381e10-1465-447c-a034-7ee091d7ea96 · inbound

Few-step Generative Models as Lossy Compression cites this paper.

Few-step Generative Models as Lossy Compression Lossy Compression with Pretrained Diffusion Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:07:36.777118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T14:12:31.253468Z digest=sha256:5442d3eaed1888bf319babea09bf8e84dab392b99f8bc46059f6c34f9f06260c

Observation f21b0cc9-f41e-4b4f-b1cd-2590117892c1 · inbound

Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes cites this paper.

Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes Lossy Compression with Pretrained Diffusion Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T02:50:28.619370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:50:28.619370Z digest=sha256:4ffbe6e5403cd9a08d97008bfb8f0cccc44ac3f2878a52a3eb8a49d8757d274b