{"as_of":"2026-08-08T05:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d1e8d67af2a2ab29274e9a75ccce7b730c18c370c593cdbf048e366afe7aaab","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:37:29.328834Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-07T18:04:00.617658Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2301.13721","last_updated":"2023-10-28T11:21:47Z","snapshot_observed_at":"2026-08-04T23:42:21.771516Z","submitted_at":"2023-01-31T15:58:32Z","title":"DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13721","snapshot_observed_at":"2026-08-07T15:37:29.328834Z","title":"Disdiff: Unsupervised disentanglement of diffusion probabilistic models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14476","last_updated":"2025-05-20T15:10:01Z","snapshot_observed_at":"2026-08-07T15:31:10.409301Z","submitted_at":"2025-05-20T15:10:01Z","title":"Enhancing Interpretability of Sparse Latent Representations with Class Information","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T15:37:29.328834Z"},"links":{"cited_paper":"/paper/2301.13721","citing_paper":"/paper/2505.14476"},"observation_digest":"sha256:e0e510d4428b9ff1919bd82db236603a47d1639cda2ffcb8e8f73dbd5a347f13","observation_id":"8b3cd198-c8de-467d-b2ae-e77729243606","resolution":{"observed_at":"2026-08-07T15:37:29.328834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13721","last_updated":"2023-10-28T11:21:47Z","snapshot_observed_at":"2026-08-04T23:42:21.771516Z","submitted_at":"2023-01-31T15:58:32Z","title":"DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13721","snapshot_observed_at":"2026-08-07T05:30:33.209795Z","title":"Disdiff: Unsupervised disentanglement of diffusion probabilistic models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07883","last_updated":"2025-06-09T15:54:00Z","snapshot_observed_at":"2026-08-07T05:49:35.875194Z","submitted_at":"2025-06-09T15:54:00Z","title":"Diffusion Counterfactual Generation with Semantic Abduction","version":1},"reference_index":142,"source":"arxiv_source","source_observed_at":"2026-08-07T05:30:33.209795Z"},"links":{"cited_paper":"/paper/2301.13721","citing_paper":"/paper/2506.07883"},"observation_digest":"sha256:591866499d0582fc15b3fd7475e9f96582a0f30bb9881318c2818d6f63c3d481","observation_id":"0971d5ec-d64d-4c0a-9b09-743624b014cc","resolution":{"observed_at":"2026-08-07T05:30:33.209795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13721","last_updated":"2023-10-28T11:21:47Z","snapshot_observed_at":"2026-08-04T23:42:21.771516Z","submitted_at":"2023-01-31T15:58:32Z","title":"DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13721","snapshot_observed_at":"2026-08-06T18:10:15.836359Z","title":"Dis- diff: Unsupervised disentanglement of diffusion probabilis- tic models.arXiv preprint arXiv:2301.13721, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09102","last_updated":"2025-07-12T01:20:07Z","snapshot_observed_at":"2026-08-06T18:02:05.774630Z","submitted_at":"2025-07-12T01:20:07Z","title":"Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T18:10:15.836359Z"},"links":{"cited_paper":"/paper/2301.13721","citing_paper":"/paper/2507.09102"},"observation_digest":"sha256:cf0d9b5d85889aa51bc17705326a11c434d901c284d80f964555f70bcf5cb507","observation_id":"2702fef2-ca23-452c-b9b1-28eb39d806c0","resolution":{"observed_at":"2026-08-06T18:10:15.836359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13721","last_updated":"2023-10-28T11:21:47Z","snapshot_observed_at":"2026-08-04T23:42:21.771516Z","submitted_at":"2023-01-31T15:58:32Z","title":"DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models","version":3},"cited_work":{"arxiv_id":"2301.13721","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.13721","snapshot_observed_at":"2026-07-07T18:04:00.617658Z","title":"DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models","venue":"cs.CV","work_id":"0b6c4cca-93d9-4076-9b77-0ac96fa2c6a3","year":2023},"citing_paper":{"arxiv_id":"2607.05319","last_updated":"2026-07-06T16:58:05Z","snapshot_observed_at":"2026-08-03T23:16:53.379733Z","submitted_at":"2026-07-06T16:58:05Z","title":"Steering Optimisation Trajectories in Diffusion Representation Learning","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-07-07T17:54:09.140773Z"},"links":{"cited_paper":"/paper/2301.13721","citing_paper":"/paper/2607.05319"},"observation_digest":"sha256:d78885fbc67801d88d816e292fcf7988cae3c974a404e86e0e7163c04aaebf74","observation_id":"dc7a9cd8-ea1e-4185-9196-b99e346f67d5","resolution":{"observed_at":"2026-07-07T18:04:00.619182Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13721","last_updated":"2023-10-28T11:21:47Z","snapshot_observed_at":"2026-08-04T23:42:21.771516Z","submitted_at":"2023-01-31T15:58:32Z","title":"DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13721","snapshot_observed_at":"2026-08-01T14:34:32.000533Z","title":"Disdiff: Unsupervised disentanglement of diffusion probabilistic models.arXiv preprint arXiv:2301.13721,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18755","last_updated":"2026-07-21T06:23:45Z","snapshot_observed_at":"2026-08-06T09:46:45.339165Z","submitted_at":"2026-07-21T06:23:45Z","title":"Decafs: Disentangled Conditional adversarial Flows","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:32.000533Z"},"links":{"cited_paper":"/paper/2301.13721","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:3acf4499f4c7e259949b5e2a8331964c7620a12385554a5ae2cae4b7921f43a1","observation_id":"237a5efd-b129-4827-b501-253c12480082","resolution":{"observed_at":"2026-08-01T14:34:32.000533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13721","last_updated":"2023-10-28T11:21:47Z","snapshot_observed_at":"2026-08-04T23:42:21.771516Z","submitted_at":"2023-01-31T15:58:32Z","title":"DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13721","snapshot_observed_at":"2026-08-01T12:55:30.582963Z","title":"arXiv preprint arXiv:2301.13721 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19305","last_updated":"2026-07-22T21:13:10Z","snapshot_observed_at":"2026-08-04T02:02:57.501217Z","submitted_at":"2026-07-21T17:17:35Z","title":"Riemannian Deep Learning: Modules, Networks, and Geometries","version":2},"reference_index":194,"source":"arxiv_source","source_observed_at":"2026-08-01T12:55:30.582963Z"},"links":{"cited_paper":"/paper/2301.13721","citing_paper":"/paper/2607.19305"},"observation_digest":"sha256:ad350e634561840507b490df7775c4869ab1650433fcdc87925bd47268c7ca91","observation_id":"26ba65bb-8423-4ddd-8097-01291e6ffc88","resolution":{"observed_at":"2026-08-01T12:55:30.582963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2301.13721/citation-record","integrity":"/paper/2301.13721/integrity","json":"/paper/2301.13721/citation-record.json","paper":"/paper/2301.13721"},"outbound":[],"paper":{"arxiv_id":"2301.13721","last_updated":"2023-10-28T11:21:47Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T23:42:21.771516Z","submitted_at":"2023-01-31T15:58:32Z","title":"DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2301.13721."}