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Paper Citation Record · LEDGER

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.02062.

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

pith.paper-citation-record.v1
2308.02062 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:15:04.406075Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T01:06:52.963189Z

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 14a2aa3e-d1fa-4d3a-a88d-cfa692869876 · inbound

Generating Compositional Scenes via Text-to-image RGBA Instance Generation cites this paper.

Generating Compositional Scenes via Text-to-image RGBA Instance Generation Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T19:15:04.406075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:15:04.406075Z digest=sha256:4a5f2c7d9b705cbf5a9acb1c84711e3659408b7f29e1143f09aa9359650972aa

Observation 9cee5b35-601e-49a6-9ca9-e4dd882d1a77 · inbound

Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model cites this paper.

Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T01:06:53.008285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-06T01:06:51.579381Z digest=sha256:16d36e30d7fadf835de25b3dfc8260e1f490892f1a218609529a798972f86c13