{"as_of":"2026-08-19T03:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:12841ee3e68450830779cb1936a4a51800737b3d5cea0e9c6abc30a384e93a9e","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:29:25.042390Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T01:19:21.125703Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.03328","last_updated":"2024-05-06T10:07:16Z","snapshot_observed_at":"2026-08-18T15:54:50.591602Z","submitted_at":"2024-05-06T10:07:16Z","title":"Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03328","snapshot_observed_at":"2026-08-05T22:29:25.042390Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07006","last_updated":"2025-08-09T14:56:25Z","snapshot_observed_at":"2026-08-16T14:50:49.515257Z","submitted_at":"2025-08-09T14:56:25Z","title":"Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T22:29:25.042390Z"},"links":{"cited_paper":"/paper/2405.03328","citing_paper":"/paper/2508.07006"},"observation_digest":"sha256:516360cb55ddd12271765447375a2cb67287a0230c095efaa53236e4090371a6","observation_id":"adb87396-e53c-4c02-959f-4b0788a8145d","resolution":{"observed_at":"2026-08-05T22:29:25.042390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03328","last_updated":"2024-05-06T10:07:16Z","snapshot_observed_at":"2026-08-18T15:54:50.591602Z","submitted_at":"2024-05-06T10:07:16Z","title":"Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge","version":1},"cited_work":{"arxiv_id":"2405.03328","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.03328","snapshot_observed_at":"2026-07-04T01:19:21.125703Z","title":"Alexander, and Daniele Ravì","venue":null,"work_id":"66b294d0-9b2d-48e9-a5f1-1f0c341864ac","year":2024},"citing_paper":{"arxiv_id":"2606.19651","last_updated":"2026-07-28T21:02:23Z","snapshot_observed_at":"2026-08-16T01:21:21.484143Z","submitted_at":"2026-06-17T23:14:16Z","title":"BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-26T20:29:00.314097Z"},"links":{"cited_paper":"/paper/2405.03328","citing_paper":"/paper/2606.19651"},"observation_digest":"sha256:39733bae14e7b6a03c3ef4a4d663830bd0d116ac9dda9d6ee9c72dc940e8375b","observation_id":"07912a80-c628-4e9d-807c-4e685c4095a9","resolution":{"observed_at":"2026-07-04T01:19:21.128423Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03328","last_updated":"2024-05-06T10:07:16Z","snapshot_observed_at":"2026-08-18T15:54:50.591602Z","submitted_at":"2024-05-06T10:07:16Z","title":"Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03328","snapshot_observed_at":"2026-08-02T10:53:57.075934Z","title":"Alexander, and Daniele Ravì","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19651","last_updated":"2026-07-28T21:02:23Z","snapshot_observed_at":"2026-08-16T01:21:21.484143Z","submitted_at":"2026-06-17T23:14:16Z","title":"BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T10:53:57.075934Z"},"links":{"cited_paper":"/paper/2405.03328","citing_paper":"/paper/2606.19651"},"observation_digest":"sha256:4bcc09875fe46a3a536c7624ec0a788964608d08e7f97b199f9588cab126b608","observation_id":"cf45a91b-ef45-4593-8758-6b3772906b76","resolution":{"observed_at":"2026-08-02T10:53:57.075934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.03328/citation-record","integrity":"/paper/2405.03328/integrity","json":"/paper/2405.03328/citation-record.json","paper":"/paper/2405.03328"},"outbound":[],"paper":{"arxiv_id":"2405.03328","last_updated":"2024-05-06T10:07:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T15:54:50.591602Z","submitted_at":"2024-05-06T10:07:16Z","title":"Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.03328."}