{"as_of":"2026-08-10T08:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3a9a2be9d49b08d17e7e60f74efb93700efbf11f19e0090bae2ea90fba93864e","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":"2026-08-09T15:22:52.740861Z","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":"2026-08-10T06:31:04.303077+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/2502.01430/citation-record","integrity":"/paper/2502.01430/integrity","json":"/paper/2502.01430/citation-record.json","paper":"/paper/2502.01430"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.10685","last_updated":"2019-10-25T17:57:31Z","snapshot_observed_at":"2026-08-10T00:01:39.298924Z","submitted_at":"2019-10-23T17:38:47Z","title":"Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.10685","snapshot_observed_at":"2026-08-09T15:22:52.662474Z","title":"Machine learning for scent: Learning generalizable perceptual representations of small molecules,","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.662474Z"},"links":{"cited_paper":"/paper/1910.10685","citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:9953c38561d985f23500e9a9f6db9494ae54356b3cc1b055639b546c96b0cccf","observation_id":"08f819e3-f2c1-4db4-bd2f-9f94c086ac35","resolution":{"observed_at":"2026-08-09T15:22:52.662474Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T15:22:52.989881Z","title":"Predicting odor from molecular structure: A multi-label classification approach,","venue":null,"work_id":"1614c36e-f4b6-4c48-aaf8-d0ff20b3c7f3","year":2022},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.667280Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:f0e2541d915016e257d208ce41a7d6127d6892980457fdd13518746f36e90832","observation_id":"4a56e080-a284-4ea3-a4fd-2ee00ab444fe","resolution":{"observed_at":"2026-08-09T15:22:52.993654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.979089Z","title":"Machine learning models to predict sweetness of molecules,","venue":null,"work_id":"f9254df5-e943-4bbf-9bba-ab0a2448d0f8","year":2023},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.670885Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:cf1ee30deb7a55dcdda4b332e4baba47221d67ab8853df8d6d0812a779b5c403","observation_id":"a85cd86a-adbc-49db-9a64-95861e6c0672","resolution":{"observed_at":"2026-08-09T15:22:52.982850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.968925Z","title":"Could qsor modelling and machine learning techniques be useful to predict wine aroma?,","venue":null,"work_id":"d6bfa949-a313-4a04-8298-f0a8e4058cba","year":2023},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.675012Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:ba12c68f02bac1308d0d1e5ecd6fad863f146b48514efb2b1bb4da218e27c0a1","observation_id":"87109716-11c3-468c-bf01-c28835345e2b","resolution":{"observed_at":"2026-08-09T15:22:52.973011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.959149Z","title":"Recent advances and application of machine learning in food flavor prediction and regulation,","venue":null,"work_id":"e8e78cf7-474a-44e8-9570-35f8d5319394","year":2023},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.678787Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:6916a1106caaf4a35b59b910f72c7484bc7bdecea5eedadae54c45eacb71c34c","observation_id":"d16797fb-ff93-4c9c-8f2f-58c12f6347d3","resolution":{"observed_at":"2026-08-09T15:22:52.962875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.949444Z","title":"Olfactory perception of chemi- cally diverse molecules,","venue":null,"work_id":"30a086ba-ac3a-4614-9385-17b7a3a83ab3","year":2016},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.682517Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:6b1afd4b5aa79b9ead4d9017db07e4366c483995725ddf792e7e99c4464a6ade","observation_id":"470f882b-8e8f-4535-a342-6084a2434bd3","resolution":{"observed_at":"2026-08-09T15:22:52.952755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.940298Z","title":"Correlation of diffusion coefficients in dilute solutions,","venue":null,"work_id":"907fbbf0-4521-4a07-99d8-efc6111a0995","year":1955},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.686310Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:c8bdd28b03805cd28c4b4f396b877dc5d19cf065876f678d1de40f894b9af7ae","observation_id":"ec96bef5-224b-4b7f-afc8-d8083abfc61a","resolution":{"observed_at":"2026-08-09T15:22:52.943488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.930986Z","title":"Olfactory perception prediction model inspired by olfactory lateral inhibition and deep feature combination,","venue":null,"work_id":"bc251146-0a15-4a85-88a9-0fbae22e12e1","year":2023},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.689911Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:e0907d13d4c0a806d685770a695ca418b11d20df7d3e058b579035529c35e3a7","observation_id":"99d7f516-6c02-4715-a3aa-084884625b31","resolution":{"observed_at":"2026-08-09T15:22:52.934842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.920954Z","title":"Computational modeling of the olfactory receptor olfr73 suggests a molecular basis for low potency of olfactory receptor-activating compounds,","venue":null,"work_id":"dbb04386-6fda-413e-a9e2-728ce7a7140e","year":2019},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.693667Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:805735885c4a929924a806d2666bbd4f10a895b4755971d127fb2cdf75d00bb2","observation_id":"d592686a-e364-4935-8e34-62fb7d155596","resolution":{"observed_at":"2026-08-09T15:22:52.924864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.910465Z","title":"Systematic benchmark of substructure search in molecular graphs-from ullmann to vf2,","venue":null,"work_id":"f010d4b5-4263-43c5-b2ef-7c7bbdd9d2e4","year":2012},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.697302Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:d43aec77ff9140ba7b90a8e0b6ef56e670436e2c67fc65f9ece5ef040e51ef35","observation_id":"52d818e0-eb67-47cc-8b57-71c1c81081d7","resolution":{"observed_at":"2026-08-09T15:22:52.914140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.901017Z","title":"Aromatic donor–acceptor interactions in non-polar environments,","venue":null,"work_id":"dde6e711-c0ad-4616-b1e1-8b418deaa50d","year":2015},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.700888Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:f92d96f1b0f6b0b2dfd6872d68f7ae4dc47ec8d1208628666f62a1ee24a0da58","observation_id":"909689b8-b28e-413b-96ce-a3728ae62127","resolution":{"observed_at":"2026-08-09T15:22:52.904450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.891533Z","title":"Extended-connectivity fingerprints,","venue":null,"work_id":"b0eb95f4-289d-495c-ac8f-d05ca013a6f7","year":2010},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.704507Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:a995b9f3ea68eb7338a6051a3e99a33a3962ca11908b84e5bf51f6aa6ff867c4","observation_id":"51245a49-d695-4583-8ec1-efa28f4aa520","resolution":{"observed_at":"2026-08-09T15:22:52.895078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.881317Z","title":"Reoptimization of mdl keys for use in drug discovery,","venue":null,"work_id":"11fbb981-7550-4db0-b036-03bcf576c7ea","year":2002},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.708821Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:eda4667d3537fc75000a3b6f4414e67430ef3cb8fd9cc846bce7b95f72f57477","observation_id":"e241e0cf-969c-48f5-acf3-9e16dbe2489f","resolution":{"observed_at":"2026-08-09T15:22:52.885230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.870619Z","title":"Topological torsion: a new molecular descriptor for sar applications. comparison with other descriptors,","venue":null,"work_id":"04cf36dd-4af0-4249-9ad2-d05cd5a39deb","year":1987},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.712362Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:a342d446bb3b684741305b76d8bb6ad5f4790cef0d24af16b7646e493c568fdb","observation_id":"7046e254-10d3-42d7-8d05-fd483f1961d9","resolution":{"observed_at":"2026-08-09T15:22:52.874461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-09T15:22:52.716056Z","title":"Graph attention networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.716056Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:2e514c9872c57dcbbbb3e36148dd98a4c7385d01742d55e4084a860852e6ed8b","observation_id":"72d1e2cd-290f-49ef-bcbd-dedc2e6b4449","resolution":{"observed_at":"2026-08-09T15:22:52.716056Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T15:22:52.860563Z","title":"Graph neural networks for molecules,","venue":null,"work_id":"f19d942a-7060-4a34-9fd1-5a55ac5dfe60","year":2023},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.719724Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:d70c71ae97c49f5722dc3c792c9b4b3312d37ee37723633e65486a467e147bd5","observation_id":"500a8ba4-08be-4775-901b-d6ad3449d102","resolution":{"observed_at":"2026-08-09T15:22:52.863923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.849378Z","title":"Focal loss for dense object detection,","venue":null,"work_id":"0e539bcf-ba55-46d9-a69e-c764e2697f81","year":2017},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.723348Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:ab49de1e3c36e5ae6414e79cc0b6e616487077114af6f83ab9b798a660cac0f1","observation_id":"80011a13-cff9-429c-b3ba-e1696bd9910c","resolution":{"observed_at":"2026-08-09T15:22:52.854110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1205.2653","last_updated":"2012-05-09T15:01:22Z","snapshot_observed_at":"2026-07-06T02:47:58.266745Z","submitted_at":"2012-05-09T15:01:22Z","title":"L2 Regularization for Learning Kernels","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1205.2653","snapshot_observed_at":"2026-08-09T15:22:52.726644Z","title":"L2 regu- larization for learning kernels,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.726644Z"},"links":{"cited_paper":"/paper/1205.2653","citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:5e316556fc47d1062659ec369a4d744144aab81def376a680405f0abe9893413","observation_id":"455f1fd7-f420-423f-8641-f334e52c891e","resolution":{"observed_at":"2026-08-09T15:22:52.726644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02638","last_updated":"2024-11-04T21:56:13Z","snapshot_observed_at":"2026-08-06T23:22:51.123154Z","submitted_at":"2024-11-04T21:56:13Z","title":"Classifier Chain Networks for Multi-Label Classification","version":1},"cited_work":{"arxiv_id":"2411.02638","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.02638","snapshot_observed_at":"2026-08-09T15:22:52.769640Z","title":"Classifier Chain Networks for Multi-Label Classification","venue":"stat.ML","work_id":"dfb0f958-7ce2-4e29-bc0c-cc0e427b6aba","year":2024},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.730176Z"},"links":{"cited_paper":"/paper/2411.02638","citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:6e5b6baf093173896ee5869217648a1a2ea8609ed9fe698bdcb34cb4d561831a","observation_id":"15057a10-5fdf-433a-9228-0178796738a9","resolution":{"observed_at":"2026-08-09T15:22:52.776075Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.839013Z","title":"Machine learning guided early drug discovery of small molecules,","venue":null,"work_id":"7315aafc-be13-46ed-8e5f-65fff6478a05","year":2022},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.734114Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:d93f0e3de3390b3c185f8d2a69e28b959b984a39110b01a5e4adf49ed7f17c12","observation_id":"3a4db73e-8c6d-4bc0-8caf-c39b7e1965d1","resolution":{"observed_at":"2026-08-09T15:22:52.842926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.828021Z","title":"Optimal performance of binary relevance cnn in targeted multi-label text classification,","venue":null,"work_id":"7be402fe-d7c7-4905-8ed0-76ab7144aea2","year":2024},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.737554Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:20b15be08369ed0f6f3fdcb46057db2326559865fe4dfb24b134461dad11cb91","observation_id":"763d8e08-4a17-4372-ac2b-7cbfba1ec1c6","resolution":{"observed_at":"2026-08-09T15:22:52.831770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-09T15:22:52.817137Z","title":"Mordred: a molecular descriptor calculator,","venue":null,"work_id":"5f91f815-844e-4b64-b433-77740000c548","year":2018},"citing_paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T15:22:52.740861Z"},"links":{"citing_paper":"/paper/2502.01430"},"observation_digest":"sha256:e6123ca9e77f5ac324cf1b207aa25cc4c0fc21e4864549652f76eba81b744aa7","observation_id":"1fe8d5e8-2573-4d1f-90a5-221f25083a24","resolution":{"observed_at":"2026-08-09T15:22:52.820687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.01430","last_updated":"2025-02-03T15:11:24Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T00:02:13.095784Z","submitted_at":"2025-02-03T15:11:24Z","title":"Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":18},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.01430."}