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Paper Citation Record · LEDGER

Measurement Score-Based Diffusion Model

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.11853.

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

pith.paper-citation-record.v1
2505.11853 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:52:38.167538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:37:57.351114Z

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 1fb7d4a2-c065-42f2-90d1-f72df2b32952 · inbound

Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions cites this paper.

Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions Measurement Score-Based Diffusion Model

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:02:47.299779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T20:59:55.644530Z digest=sha256:b3cfa0aae0b26666b6baaf4170a86ab73ec3b439fd2717a0800787411670a36f

Observation ee3f7da0-2ae2-4a3f-a607-ff48ee16bc89 · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics Measurement Score-Based Diffusion Model

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:57.352512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T09:52:38.167538Z digest=sha256:f787d7520615d55ca2e944d0755e43812b09cf335c10b4120dbbb890b4d62aa9