{"as_of":"2026-08-08T23:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6b5324c011ca2c24433d6809e2c6b2b4911daa5e84570ed620b1d09fb42aba7f","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T14:34:32.168996Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.18755/citation-record","integrity":"/paper/2607.18755/integrity","json":"/paper/2607.18755/citation-record.json","paper":"/paper/2607.18755"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1612.00410","last_updated":"2019-10-23T22:47:44Z","snapshot_observed_at":"2026-07-06T05:21:01.935928Z","submitted_at":"2016-12-01T20:12:40Z","title":"Deep Variational Information Bottleneck","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1612.00410","snapshot_observed_at":"2026-08-01T14:34:30.646799Z","title":"Deep variational information bottleneck.arXiv preprint arXiv:1612.00410,","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":1,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:30.646799Z"},"links":{"cited_paper":"/paper/1612.00410","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:82de4c21550f13177940b100bf9874b5809b2b930d58ed22ad73c3ee6f6d69b0","observation_id":"f1bac322-c986-4575-a722-dcd490362594","resolution":{"observed_at":"2026-08-01T14:34:30.646799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:34:31.024965Z","title":"RDKit: Open-source cheminformatics","venue":null,"work_id":null,"year":2014},"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":7,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.024965Z"},"links":{"citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:9cfa700a2b5cda95a5c307f903b914d396b02f033ae9e02e9a54f2b14679cc32","observation_id":"768090ea-e789-4c8d-88cb-046c425ba442","resolution":{"observed_at":"2026-08-01T14:34:31.024965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:34:31.218364Z","title":"A property-guided diffusion model for generating molecular graphs","venue":null,"work_id":null,"year":2024},"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":10,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.218364Z"},"links":{"citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:84a7feb48b202cc2673ee2858144497b0f01627ee12ff05a90df934c350c4f12","observation_id":"7c80d4c3-c547-42af-be64-e6ed3e0761da","resolution":{"observed_at":"2026-08-01T14:34:31.218364Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05074","last_updated":"2022-03-28T21:15:47Z","snapshot_observed_at":"2026-07-06T12:46:12.270140Z","submitted_at":"2022-03-09T22:35:02Z","title":"The Transitive Information Theory and its Application to Deep Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.05074","snapshot_observed_at":"2026-08-01T14:34:31.382879Z","title":"Trung Ngo, Najwa Laabid, Ville Hautamäki, and Merja Heinäniemi","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":13,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.382879Z"},"links":{"cited_paper":"/paper/2203.05074","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:e74226feffb74ad79f66b99297a21d2c2d619dc82c0092ec1bc196207ff15fcf","observation_id":"2f88da52-ee56-46a8-b447-06a680ffc272","resolution":{"observed_at":"2026-08-01T14:34:31.382879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16353","last_updated":"2023-11-27T22:30:26Z","snapshot_observed_at":"2026-07-06T16:53:31.770042Z","submitted_at":"2023-11-27T22:30:26Z","title":"Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16353","snapshot_observed_at":"2026-08-01T14:34:31.454845Z","title":"Improving denoising diffusion probabilistic models via exploiting shared representations.arXiv preprint arXiv:2311.16353,","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":14,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.454845Z"},"links":{"cited_paper":"/paper/2311.16353","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:159b0894aaaf3340dfe00d969b56d4f8b71f48072ed6ae68b2bb72954b04167f","observation_id":"2aafba98-a2dd-4335-a695-05c783671f3d","resolution":{"observed_at":"2026-08-01T14:34:31.454845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.09382","last_updated":"2020-02-27T05:34:03Z","snapshot_observed_at":"2026-08-07T03:50:10.854073Z","submitted_at":"2020-01-26T01:12:40Z","title":"GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.09382","snapshot_observed_at":"2026-08-01T14:34:31.537295Z","title":"Graphaf: a flow-based autoregressive model for molecular graph generation.arXiv preprint arXiv:2001.09382,","venue":null,"work_id":null,"year":2001},"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":15,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.537295Z"},"links":{"cited_paper":"/paper/2001.09382","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:228b485fe2f48670447f7a3c03d446e5f80714eb9477b4ae0a581ccccf06cb6d","observation_id":"b5448cb1-1c9e-465b-a616-5cc076b7f492","resolution":{"observed_at":"2026-08-01T14:34:31.537295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-01T14:34:31.629811Z","title":"Score-based generative modeling through stochastic differential equations.arXiv preprint arXiv:2011.13456,","venue":null,"work_id":null,"year":2011},"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":16,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.629811Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:fa7ff19dc345ef214bddfb1c7df70ca7b4dabfcbb869cd3f9a20912af9f3202a","observation_id":"0a1f985e-0c68-47bc-8216-107bbfc724e7","resolution":{"observed_at":"2026-08-01T14:34:31.629811Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.01005","last_updated":"2023-05-31T14:40:47Z","snapshot_observed_at":"2026-07-06T15:36:48.696676Z","submitted_at":"2023-05-31T14:40:47Z","title":"AbODE: Ab Initio Antibody Design using Conjoined ODEs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.01005","snapshot_observed_at":"2026-08-01T14:34:31.751376Z","title":"Abode: Ab initio antibody design using conjoined odes.arXiv preprint arXiv:2306.01005,","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":17,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.751376Z"},"links":{"cited_paper":"/paper/2306.01005","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:2ab6b4bfd70a650a0c68d0ac3d217b3673a00d7c79427e7928578045ed9c6766","observation_id":"0d632c6b-12ec-4602-bf10-99de27ae06d5","resolution":{"observed_at":"2026-08-01T14:34:31.751376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:34:31.920034Z","title":"Uncovering the disentanglement capability in text-to-image diffusion models","venue":null,"work_id":null,"year":1900},"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":19,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.920034Z"},"links":{"citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:a3115a9a465684945a1637b7bfb63826bdaa2b2e592bc91453c43a7a030547e2","observation_id":"de4ced7e-9b5f-4bd7-abb4-3ec918755445","resolution":{"observed_at":"2026-08-01T14:34:31.920034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.02473","last_updated":"2019-02-25T03:19:38Z","snapshot_observed_at":"2026-08-04T15:55:41.721259Z","submitted_at":"2018-06-07T00:47:09Z","title":"Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.02473","snapshot_observed_at":"2026-08-01T14:34:32.083672Z","title":"Graph convolutional policy network for goal-directed molecular graph generation.arXiv preprint arXiv:1806.02473,","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":21,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:32.083672Z"},"links":{"cited_paper":"/paper/1806.02473","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:71e014d53c8071a145b6a5c820ca693b51b60a0b837a95d777addf4e6f5a2a07","observation_id":"c0d7c059-0c65-4c1f-89c0-bd031b79c68e","resolution":{"observed_at":"2026-08-01T14:34:32.083672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:34:32.168996Z","title":null,"venue":null,"work_id":null,"year":2018},"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":32,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:32.168996Z"},"links":{"citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:dac1c9e571a82bb07e264f16a5b29366421b5a1b2e56cd56f049a2272a460fd7","observation_id":"4c484c7f-9298-4b78-99a9-455654feddf0","resolution":{"observed_at":"2026-08-01T14:34:32.168996Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.00848","last_updated":"2018-12-27T19:25:22Z","snapshot_observed_at":"2026-08-04T19:03:48.779086Z","submitted_at":"2017-11-02T17:57:43Z","title":"Variational Inference of Disentangled Latent Concepts from Unlabeled Observations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.00848","snapshot_observed_at":"2026-08-01T14:34:30.950939Z","title":"Variational inference of disentangled latent concepts from unlabeled observations.arXiv preprint arXiv:1711.00848,","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":2013,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:30.950939Z"},"links":{"cited_paper":"/paper/1711.00848","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:08921d173771b58c9c151fdf2a4e995a2f8825458d65fa41c557f8d560a61a48","observation_id":"65d923bd-9ef2-4e8d-be61-159b04793475","resolution":{"observed_at":"2026-08-01T14:34:30.950939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.08803","last_updated":"2017-02-27T23:21:10Z","snapshot_observed_at":"2026-08-06T07:41:35.475664Z","submitted_at":"2016-05-27T21:24:32Z","title":"Density estimation using Real NVP","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.08803","snapshot_observed_at":"2026-08-01T14:34:30.769611Z","title":"Density estimation using real nvp.arXiv preprint arXiv:1605.08803,","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":2014,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:30.769611Z"},"links":{"cited_paper":"/paper/1605.08803","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:d9a7b2af99723c5532e60ab12cb65e6d133daccb159e194f9e60d177557d03ee","observation_id":"ae4e5a42-3b84-47a0-8498-3c3f30f042c0","resolution":{"observed_at":"2026-08-01T14:34:30.769611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.10398","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Yann LeCun","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"909a6ab6-f1b1-497a-8188-0ad41702fba0","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":2015,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.118030Z"},"links":{"citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:10be34338e3a49635dfea5ea715a0189435e635c8f6fcfbeae49e0d0d75cf066","observation_id":"0bc689ae-b850-40e8-9d9a-b8d133f5357b","resolution":{"observed_at":"2026-08-01T14:39:34.563597Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-01T14:34:30.822897Z","title":"Jonathan Ho and Tim Salimans","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":2017,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:30.822897Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:704cc551fac4b644ef9834d113df9c207b55ea8715efd7a6b4e9e83bec6b258d","observation_id":"06c7a1c2-9ff0-408d-978b-50f45e89065c","resolution":{"observed_at":"2026-08-01T14:34:30.822897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-01T14:34:30.901806Z","title":"Auto-encoding variational bayes.arXiv preprint arXiv:1312.6114,","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":2018,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:30.901806Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:67db891f71017e7aee4456d19d10dd67da3ac2741e62510088a84b298b3a39ee","observation_id":"74c17ce5-4ae7-4b80-b0a1-721aa4c2e96d","resolution":{"observed_at":"2026-08-01T14:34:30.901806Z","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":"2026-08-01T14:34:32.000533Z","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":"2006.09790","last_updated":"2021-01-21T12:06:59Z","snapshot_observed_at":"2026-07-06T09:29:58.070206Z","submitted_at":"2020-06-17T11:37:01Z","title":"Categorical Normalizing Flows via Continuous Transformations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.09790","snapshot_observed_at":"2026-08-01T14:34:31.175167Z","title":"Categorical normalizing flows via continuous transformations","venue":null,"work_id":null,"year":2006},"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":2020,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.175167Z"},"links":{"cited_paper":"/paper/2006.09790","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:4eeeb64c90f483c0c56f177613cce4ab4b3590b742228056f1ca3aa6ad78ed18","observation_id":"d743b7f6-78f3-46a7-8f76-7bdc3b89d2c5","resolution":{"observed_at":"2026-08-01T14:34:31.175167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1410.8516","last_updated":"2015-04-10T12:27:56Z","snapshot_observed_at":"2026-07-06T03:59:05.142685Z","submitted_at":"2014-10-30T19:44:20Z","title":"NICE: Non-linear Independent Components Estimation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.8516","snapshot_observed_at":"2026-08-01T14:34:30.699203Z","title":"Nice: Non-linear independent components estimation.arXiv preprint arXiv:1410.8516,","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":2021,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:30.699203Z"},"links":{"cited_paper":"/paper/1410.8516","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:80d4e29a6455311b9c9f01cdd4c6bab4cb5bcaaf7ace3c896430c5ba564d31be","observation_id":"aadba612-92c0-42bb-b069-d6315702e25c","resolution":{"observed_at":"2026-08-01T14:34:30.699203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1411.1784","last_updated":"2014-11-06T22:33:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-11-06T22:33:22Z","title":"Conditional Generative Adversarial Nets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.1784","snapshot_observed_at":"2026-08-01T14:34:31.337439Z","title":"Conditional generative adversarial nets.arXiv preprint arXiv:1411.1784,","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":2022,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.337439Z"},"links":{"cited_paper":"/paper/1411.1784","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:b16deb1c28672d8e5a721b61577a1b2953257e5b4c9a20cdef0df9bca0556edc","observation_id":"4636d57d-3e67-429b-a850-d9a96444abda","resolution":{"observed_at":"2026-08-01T14:34:31.337439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.09587","last_updated":"2020-09-21T02:48:46Z","snapshot_observed_at":"2026-07-06T09:57:15.968544Z","submitted_at":"2020-09-21T02:48:46Z","title":"Improving Robustness and Generality of NLP Models Using Disentangled Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.09587","snapshot_observed_at":"2026-08-01T14:34:31.836050Z","title":"Improving robustness and generality of nlp models using disentangled representations.arXiv preprint arXiv:2009.09587,","venue":null,"work_id":null,"year":2009},"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":2023,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.836050Z"},"links":{"cited_paper":"/paper/2009.09587","citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:c1c32103c9cca10f49bacced2cb110ecd4d834c0fb08e94e83d75ad2bd040767","observation_id":"db13b808-5caa-44d5-bc9a-7061b29ccf2a","resolution":{"observed_at":"2026-08-01T14:34:31.836050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:34:31.282833Z","title":"Emile Mathieu, Tom Rainforth, N Siddharth, and Yee Whye Teh","venue":null,"work_id":null,"year":2024},"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":2024,"source":"pdf_text","source_observed_at":"2026-08-01T14:34:31.282833Z"},"links":{"citing_paper":"/paper/2607.18755"},"observation_digest":"sha256:98867f5630c602d7bde2ef581bef792ff3ca8973808d3a356df2773cfbd15871","observation_id":"17f90496-c6b1-4c49-b448-e58486aeea8d","resolution":{"observed_at":"2026-08-01T14:34:31.282833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.18755","last_updated":"2026-07-21T06:23:45Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T09:46:45.339165Z","submitted_at":"2026-07-21T06:23:45Z","title":"Decafs: Disentangled Conditional adversarial Flows"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":22},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.18755."}