{"as_of":"2026-08-21T12:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:804497865294ae5daad98a8dd65e21629e3c236186eaaa42adbed41d149b171c","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:45:23.577224Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2506.15309/citation-record","integrity":"/paper/2506.15309/integrity","json":"/paper/2506.15309/citation-record.json","paper":"/paper/2506.15309"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/ph15030308","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:45:23.609806Z","title":"scikit learn","venue":null,"work_id":"243c19f3-ad90-47e3-938c-763ceec13e93","year":2025},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.561162Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:0daacdfd39f4cda8750f401a85abbeb4b91a34848eb9da4b48f9300d1aaeb8e4","observation_id":"d43b67fa-283d-4f04-86da-24ba409f9139","resolution":{"observed_at":"2026-08-15T19:45:23.615636Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:45:23.987774Z","title":"Target structures were preprocessed by removing water molecules, ligands, and ions","venue":null,"work_id":"d8c68dc0-5428-46ee-aaa4-d434323e409d","year":2025},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.571688Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:d2c79f71aca111602775db37296e01bf2d6df8d909806e63d1d40b115f1be78e","observation_id":"2247a45c-815a-480b-b514-0239f92c5ac1","resolution":{"observed_at":"2026-08-15T19:45:23.994274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:45:23.965288Z","title":"Then we hierarchically clustered this matrix using Seaborn (Waskom et al., 2017)","venue":null,"work_id":"db092e64-f21d-44ae-a5ae-ae85fa672981","year":2017},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.577224Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:cd8ac84147c41a8762854bc6d14e7244946624c240939221ae1f0790aca8567d","observation_id":"aa36ddea-5242-4ffa-b673-6cb85a75c3b5","resolution":{"observed_at":"2026-08-15T19:45:23.972056Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:45:23.528984Z","title":"doi: 10.1021/jm030644s","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2004,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.528984Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:2595383fd48062d3e6578d9b42813913f5354c031c1332c301245ff5d060ff7a","observation_id":"dfe512e8-eed9-4602-b512-72b5d6165b47","resolution":{"observed_at":"2026-08-15T19:45:23.528984Z","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":"2026-08-15T19:45:23.505793Z","title":"doi: 10.1002/cmdc.200700139","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.505793Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:e6dcd4807be0f1c7cb5bb28921c5e780f98a71e6b29ca3e2c35df85c3b1e5b99","observation_id":"a8189052-7272-4ecf-8fcc-6ad0c5346f3a","resolution":{"observed_at":"2026-08-15T19:45:23.505793Z","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":"10.1021/ci800324m","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:45:23.661899Z","title":"doi: 10.1021/ci800324m","venue":null,"work_id":"f8167d2d-9bad-47ec-bd01-650fcaa1468b","year":null},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.523240Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:b9444e407a067656e46c81b992e18a6437609ff06b3edd9e92a101e47aee084c","observation_id":"2f8d95b6-82eb-44e1-a42c-7eca9bba3ead","resolution":{"observed_at":"2026-08-15T19:45:23.667052Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/jm901070c","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:45:23.629205Z","title":"doi: 10.1021/jm901070c","venue":null,"work_id":"2cca2c48-5116-4268-ae2c-fc95e2146dfc","year":null},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.534065Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:5be65b01980c1185b7662b0e9a4e360d42d21afb9a4bc9fa1b2bb4567518827b","observation_id":"c1f642cb-ac2f-4d1f-9961-d23d3843e9a0","resolution":{"observed_at":"2026-08-15T19:45:23.634891Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1039/c4ob02287d","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:45:23.680230Z","title":"doi: 10.1039/C4OB02287D","venue":null,"work_id":"b347ba61-6a2f-4949-91dc-a2c7c7d43515","year":2015},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.511768Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:cc7119627b432a97637c217d976d6c7f1757ec61bd0e4a3224ce9fddca88ee3a","observation_id":"79c8491d-7dc4-4d14-a6d9-3bcbdbd20897","resolution":{"observed_at":"2026-08-15T19:45:23.685588Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08703","last_updated":"2024-06-26T11:03:21Z","snapshot_observed_at":"2026-08-16T14:18:54.582887Z","submitted_at":"2024-02-13T16:56:31Z","title":"A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.08703","snapshot_observed_at":"2026-08-15T19:45:23.566182Z","title":"doi: 10.1002/pro.3290","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.566182Z"},"links":{"cited_paper":"/paper/2402.08703","citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:461bdc5590f54b0d08c00c317352a6fc9e93b328bc6d945c61cc88801a7b50f2","observation_id":"f7560871-4832-41bf-9f3b-46dd02d2fc30","resolution":{"observed_at":"2026-08-15T19:45:23.566182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.08956","last_updated":"2019-07-21T11:09:42Z","snapshot_observed_at":"2026-08-19T19:39:53.064588Z","submitted_at":"2019-07-21T11:09:42Z","title":"Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.08956","snapshot_observed_at":"2026-08-15T19:45:23.555880Z","title":null,"venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.555880Z"},"links":{"cited_paper":"/paper/1907.08956","citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:4f2d17de80838f6cb112129b2bfe6031775b7e299443511751cd8fcaef41e5c9","observation_id":"8b8b04e2-dc91-493e-954e-03fdab5db1e0","resolution":{"observed_at":"2026-08-15T19:45:23.555880Z","resolver_source":null,"status":"malformed_identifier"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:45:24.008488Z","title":null,"venue":null,"work_id":"6e2e21c7-a925-49d4-b6a5-d5cbec26753b","year":2024},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.550870Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:5ff0a3b7c96d9dc8bd52dc37b00b148c3dd83400251a6931e9938ddd2f02eb66","observation_id":"6b1c82ed-03c6-4de2-933d-03ac8eb1c2a6","resolution":{"observed_at":"2026-08-15T19:45:24.016640Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"records/1511584","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:45:23.849130Z","title":"doi: 10.1093/nar/gkae1059","venue":null,"work_id":"8a40a13d-f5d3-4a81-ae04-d7a12cf18e85","year":null},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.539491Z"},"links":{"citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:b18754e21df277db651d552a1a055bca70ec05fd347849606ff85f169991a59e","observation_id":"a574388e-f879-4ecc-8e49-1bd433df062a","resolution":{"observed_at":"2026-08-15T19:45:23.857321Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06334","last_updated":"2023-05-04T13:25:14Z","snapshot_observed_at":"2026-08-16T15:35:39.625041Z","submitted_at":"2023-05-04T13:25:14Z","title":"Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks","version":1},"cited_work":{"arxiv_id":"2305.06334","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.06334","snapshot_observed_at":"2026-08-15T19:45:23.876381Z","title":"Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks","venue":"q-bio.BM","work_id":"8977e61b-10db-4eb4-94f7-16e4b4a4ffec","year":2023},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":2946,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.517159Z"},"links":{"cited_paper":"/paper/2305.06334","citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:d0d0e4fa9a2a816e0a6ae837f65e44119657913d2b17c1a215c631dcc19b28bd","observation_id":"649f5c48-6a4b-446f-8b4e-b4912f0b51aa","resolution":{"observed_at":"2026-08-15T19:45:23.883006Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03426","last_updated":"2020-09-18T01:56:41Z","snapshot_observed_at":"2026-08-02T15:32:07.466568Z","submitted_at":"2018-02-09T19:39:33Z","title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.03426","snapshot_observed_at":"2026-08-15T19:45:23.545296Z","title":"URL https: //doi.org/10.1007/s10822-013-9644-8","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation","version":1},"reference_index":4951,"source":"pdf_text","source_observed_at":"2026-08-15T19:45:23.545296Z"},"links":{"cited_paper":"/paper/1802.03426","citing_paper":"/paper/2506.15309"},"observation_digest":"sha256:2676993de9060fcd810e9740b859d2f1dbd8df216c1ae729ba2591dbf8d86960","observation_id":"0bb2bd42-a135-43c2-822f-08255b8b1465","resolution":{"observed_at":"2026-08-15T19:45:23.545296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.15309","last_updated":"2025-06-18T09:39:51Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T09:24:29.621630Z","submitted_at":"2025-06-18T09:39:51Z","title":"Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":3,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":5,"verified_fuzzy":1},"total_outbound_references":14},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.15309."}