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Paper Citation Record · LEDGER

Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.03328.

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

pith.paper-citation-record.v1
2405.03328 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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:29:25.042390Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:19:21.125703Z

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 adb87396-e53c-4c02-959f-4b0788a8145d · inbound

Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments cites this paper.

Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T22:29:25.042390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:29:25.042390Z digest=sha256:516360cb55ddd12271765447375a2cb67287a0230c095efaa53236e4090371a6

Observation 07912a80-c628-4e9d-807c-4e685c4095a9 · inbound

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation cites this paper.

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:19:21.128423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T20:29:00.314097Z digest=sha256:39733bae14e7b6a03c3ef4a4d663830bd0d116ac9dda9d6ee9c72dc940e8375b

Observation cf45a91b-ef45-4593-8758-6b3772906b76 · inbound

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation cites this paper.

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T10:53:57.075934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:53:57.075934Z digest=sha256:4bcc09875fe46a3a536c7624ec0a788964608d08e7f97b199f9588cab126b608