{"as_of":"2026-08-12T18:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dc29ac93c2255112ef6b591f69716439086ea76bdeb8bb9269ae095dd5aabaf8","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T12:56:55.273074Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T12:34:59.774345Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"cited_work":{"arxiv_id":"2411.16644","doi":"10.48550/arxiv.2411.16644","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.16644","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":", title =","venue":"arXiv (Cornell University)","work_id":"31fe44b2-99c2-43d9-b157-260ff9d6bc28","year":2024},"citing_paper":{"arxiv_id":"2606.06717","last_updated":"2026-06-04T21:06:31Z","snapshot_observed_at":"2026-07-06T23:46:28.942186Z","submitted_at":"2026-06-04T21:06:31Z","title":"ShallowBench: Benchmarking Generative Drug Design Models on Shallow-Pocket Targets","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-28T02:21:39.968543Z"},"links":{"cited_paper":"/paper/2411.16644","citing_paper":"/paper/2606.06717"},"observation_digest":"sha256:cb4dc2c2cff45d33f39ce629b34226968190d0bc5a3943dda9dabc6736ef2a9b","observation_id":"b0e03608-80c3-44ba-9bb1-f2f3017e83ff","resolution":{"observed_at":"2026-06-28T02:31:30.234991Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.16644","snapshot_observed_at":"2026-08-01T12:34:59.774345Z","title":"Koes.Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19519","last_updated":"2026-07-21T19:08:50Z","snapshot_observed_at":"2026-08-10T11:33:47.170642Z","submitted_at":"2026-07-21T19:08:50Z","title":"Boltzmann-Expected Molecular Design with Decoupled Annealing Flows","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-01T12:34:59.774345Z"},"links":{"cited_paper":"/paper/2411.16644","citing_paper":"/paper/2607.19519"},"observation_digest":"sha256:82e9a678b2594d80fc601f48930a2f5a0a3701deaa93bfeb57c1cd271ad846ef","observation_id":"67931cb6-b43b-47cc-b281-71663010114f","resolution":{"observed_at":"2026-08-01T12:34:59.774345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.16644/citation-record","integrity":"/paper/2411.16644/integrity","json":"/paper/2411.16644/citation-record.json","paper":"/paper/2411.16644"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:56:55.001203Z","title":"A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.001203Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:2f7665e4e2361dd73c4b360bed5a5a741b0ff7590cb6f76d33d38e3ee410b8ca","observation_id":"78048450-2db3-43fc-9997-d1cb17bfc589","resolution":{"observed_at":"2026-08-12T12:56:55.001203Z","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":"2026-08-12T12:56:56.275589Z","title":"3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction, March","venue":null,"work_id":"62f8c7e8-53fa-4f35-a785-a6de9b3c40c3","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.006654Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:62de79d04b84428543288b5b8274e4b4b6d31fb965e73a8e8078c9312591cb75","observation_id":"4f4d9548-307c-4a76-aa6c-9d67675137bc","resolution":{"observed_at":"2026-08-12T12:56:56.280593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.13695","last_updated":"2024-09-23T19:31:01Z","snapshot_observed_at":"2026-08-08T05:39:11.029974Z","submitted_at":"2022-10-24T15:51:21Z","title":"Structure-based Drug Design with Equivariant Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.13695","snapshot_observed_at":"2026-08-12T12:56:55.016817Z","title":"Structure-based Drug Design with Equivariant Diffusion Models, June 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.016817Z"},"links":{"cited_paper":"/paper/2210.13695","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:2e7e4dbdee3193c2a626ea6ac7806bdf0f24cfeb584bcbb7620f930160095484","observation_id":"dde2a605-7f86-4e10-9bb6-37a7fcac384a","resolution":{"observed_at":"2026-08-12T12:56:55.016817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.07249","last_updated":"2025-07-11T02:52:42Z","snapshot_observed_at":"2026-08-02T08:47:30.596128Z","submitted_at":"2022-05-15T10:23:07Z","title":"Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.07249","snapshot_observed_at":"2026-08-12T12:56:55.022005Z","title":"Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets, May 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.022005Z"},"links":{"cited_paper":"/paper/2205.07249","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:d2d259c886b8873fa99e1c516bd7938765f7ac0b3a898f3948b5bff7bb1a0ca5","observation_id":"ca6643ec-7f6a-4438-a34b-87ced7092b80","resolution":{"observed_at":"2026-08-12T12:56:55.022005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.09410","last_updated":"2022-05-30T16:06:26Z","snapshot_observed_at":"2026-07-06T13:01:59.141782Z","submitted_at":"2022-04-19T17:30:08Z","title":"Generating 3D Molecules for Target Protein Binding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.09410","snapshot_observed_at":"2026-08-12T12:56:55.026953Z","title":"Generating 3D Molecules for Target Protein Binding, May 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.026953Z"},"links":{"cited_paper":"/paper/2204.09410","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:29e357c9c4f3fb63f19a3c0695549cb709ba9a936d91356215750e6de8e17499","observation_id":"17b38e07-b8ce-4d34-b2b6-689dc445f932","resolution":{"observed_at":"2026-08-12T12:56:55.026953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.07416","last_updated":"2023-08-14T19:08:34Z","snapshot_observed_at":"2026-08-12T11:19:32.742829Z","submitted_at":"2023-08-14T19:08:34Z","title":"DiffHopp: A Graph Diffusion Model for Novel Drug Design via Scaffold Hopping","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.07416","snapshot_observed_at":"2026-08-12T12:56:55.031827Z","title":"Mathis, and Pietro Lio","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.031827Z"},"links":{"cited_paper":"/paper/2308.07416","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:c721b27dc8684083519ff6e62b578d7e35fb69223bcd872b2b6f3d3d4d02087a","observation_id":"ddc556c5-74c4-4956-ad12-4f03fc29f728","resolution":{"observed_at":"2026-08-12T12:56:55.031827Z","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":"2026-08-12T12:56:56.261766Z","title":"Equivariant 3D-conditional diffusion model for molecular linker design","venue":null,"work_id":"803b9032-dc3d-4c8d-85d2-bee422bdbd48","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.037120Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:19e9674349b3d9edfd49ccf6e6a1abd61900ebf071e6376f9cd58dbdb24ec478","observation_id":"9ba5a7d4-209b-4162-8eba-2ef26621f61c","resolution":{"observed_at":"2026-08-12T12:56:56.266357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T12:56:56.247293Z","title":"Accelerating Inference in Molecular Diffusion Models with La- tent Representations of Protein Structure","venue":null,"work_id":"cea2cc9d-7022-435d-9d45-e9e3945587a3","year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.046423Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:bb5d1a0fed9a4b7210f052ffa9a2e504a980ce470f8d204def8d8f275952ce8e","observation_id":"1e9ac724-9c6e-4731-864b-ba96891c98bf","resolution":{"observed_at":"2026-08-12T12:56:56.252163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T12:56:55.051241Z","title":"Watson, David Juergens, Nathaniel R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.051241Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:8016b7656cdc0cd6011601bca37dd6b283ef63325e5e9a8a0f8fd5a5958322a9","observation_id":"8164dbd0-15b4-4dc8-a30a-56f90135f4de","resolution":{"observed_at":"2026-08-12T12:56:55.051241Z","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":"10.1101/2024.03.14.585103","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:56:55.361543Z","title":"Bennett, Joseph L","venue":null,"work_id":"f58f6d0a-bdca-44e2-8b13-8d099cef43ea","year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.055911Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:75f0e5220fd4ec9c075b1bb3e22d813eeea5cade0486af4380ad9780a638abf7","observation_id":"1c11c527-4b28-4f82-993d-36cf6d231d7c","resolution":{"observed_at":"2026-08-12T12:56:55.366297Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T12:56:55.060269Z","title":"Ingraham, Max Baranov, Zak Costello, Karl W","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.060269Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:51f690d4a7a0cc732348a099d84a8e3554ffaa6041aedf1d1f63c201db61e3ef","observation_id":"200ff803-7f7e-41d4-bdaf-3b312d7c8569","resolution":{"observed_at":"2026-08-12T12:56:55.060269Z","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":"2026-08-12T12:56:56.214353Z","title":"MatterGen: a generative model for inorganic materials design, January","venue":null,"work_id":"b1c85927-2061-47d1-addf-e246927942d7","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.064654Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:75281ca391454f7edeeb76a010658a38187ea5d302cbc114df4becde1ee32234","observation_id":"21d585cc-9cda-4b7d-aead-63d262642106","resolution":{"observed_at":"2026-08-12T12:56:56.219205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.03585","last_updated":"2015-11-18T21:50:51Z","snapshot_observed_at":"2026-07-06T04:11:47.439779Z","submitted_at":"2015-03-12T04:51:37Z","title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.03585","snapshot_observed_at":"2026-08-12T12:56:55.074487Z","title":"Weiss, Niru Maheswaranathan, and Surya Ganguli","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.074487Z"},"links":{"cited_paper":"/paper/1503.03585","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:a1493f496f5acaffd141313cd0541b0d45e1140660db9af9a3b678a7f1e40804","observation_id":"cb9cdc2b-602c-4057-8e49-6577aa65eae0","resolution":{"observed_at":"2026-08-12T12:56:55.074487Z","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":"2026-08-12T12:56:56.198989Z","title":"Denoising Diffusion Probabilistic Models, December","venue":null,"work_id":"ec8e2105-45f7-4520-b082-d6f629ecd91d","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.079146Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:6c3b3741aa0bda852c816708b04460474ccee725745db72bbfa27ed3113f36fe","observation_id":"edace65f-422f-415e-a2a3-fdc39b0a32d3","resolution":{"observed_at":"2026-08-12T12:56:56.204191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03687","last_updated":"2024-01-29T16:02:46Z","snapshot_observed_at":"2026-08-10T13:16:19.802935Z","submitted_at":"2023-12-06T18:52:16Z","title":"MatterGen: a generative model for inorganic materials design","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03687","snapshot_observed_at":"2026-08-12T12:56:55.069206Z","title":"arXiv:2312.03687 [cond-mat]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.069206Z"},"links":{"cited_paper":"/paper/2312.03687","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:9dfae92057e64f5a79059154d8509ab5e0fabb46685901b1558b2946f8ecedc6","observation_id":"0d90536d-621d-4880-b936-b69289ec26e0","resolution":{"observed_at":"2026-08-12T12:56:55.069206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-02T18:24:58.914589Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-12T12:56:55.093616Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.093616Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:e8a8cfede3aca2bd3ebcf0b34871323bc2723b7edf616ec517582e35fc33f028","observation_id":"179d2083-1cf7-4176-b05b-295b1416445b","resolution":{"observed_at":"2026-08-12T12:56:55.093616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.00482","last_updated":"2024-03-11T14:27:48Z","snapshot_observed_at":"2026-07-06T14:47:04.817434Z","submitted_at":"2023-02-01T14:47:17Z","title":"Improving and generalizing flow-based generative models with minibatch optimal transport","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.00482","snapshot_observed_at":"2026-08-12T12:56:55.098191Z","title":"Improving and generalizing flow-based generative models with minibatch optimal transport, July 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.098191Z"},"links":{"cited_paper":"/paper/2302.00482","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:d92a23616064f9d5207cec6c29289b312efd8df80dfb0fdb30f58d13ae2fe450","observation_id":"8a63baf2-02a2-4186-8053-d0c1d18567da","resolution":{"observed_at":"2026-08-12T12:56:55.098191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08797","last_updated":"2025-10-09T00:43:44Z","snapshot_observed_at":"2026-07-06T15:03:52.079498Z","submitted_at":"2023-03-15T17:43:42Z","title":"Stochastic Interpolants: A Unifying Framework for Flows and Diffusions","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08797","snapshot_observed_at":"2026-08-12T12:56:55.102685Z","title":"Albergo, Nicholas M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.102685Z"},"links":{"cited_paper":"/paper/2303.08797","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:666bfb093fdeca44a7b3977c07e50fa0de4e8c2ad532c94134fdd8a3c16850a2","observation_id":"393011e0-8202-4db5-9ff0-8a560d57703c","resolution":{"observed_at":"2026-08-12T12:56:55.102685Z","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":"2026-08-12T12:56:55.088320Z","title":"Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.088320Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:a89371a1583feb2c5b0765bd9175e08354cc6f6a0ffb1c6e70722c2026bffe89","observation_id":"e289612b-75bf-41ea-b789-00f57290873e","resolution":{"observed_at":"2026-08-12T12:56:55.088320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08740","last_updated":"2024-09-23T15:59:41Z","snapshot_observed_at":"2026-08-10T16:29:09.535299Z","submitted_at":"2024-01-16T18:55:25Z","title":"SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08740","snapshot_observed_at":"2026-08-12T12:56:55.111692Z","title":"Albergo, Nicholas M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.111692Z"},"links":{"cited_paper":"/paper/2401.08740","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:640810498ffdac69e117448b297acc0abec6070ad8940dff53a3b2629870e1de","observation_id":"10b25e49-d985-4937-a14f-a8f03f9cb58d","resolution":{"observed_at":"2026-08-12T12:56:55.111692Z","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":"2026-08-12T12:56:56.185056Z","title":"SE(3)-Stochastic Flow Matching for Protein Backbone Generation, April","venue":null,"work_id":"450cfa7e-eacf-48a2-9495-d35ffea0fe66","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.116346Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:69efe71bf5444432537d49bf6c22546c92f33e436b60f401ea34d5ed76b71201","observation_id":"d494c1e5-06aa-44df-8bd8-1d8ec501924a","resolution":{"observed_at":"2026-08-12T12:56:56.189652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05297","last_updated":"2023-10-10T19:01:24Z","snapshot_observed_at":"2026-07-06T16:29:32.059905Z","submitted_at":"2023-10-08T21:55:00Z","title":"Fast protein backbone generation with SE(3) flow matching","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.05297","snapshot_observed_at":"2026-08-12T12:56:55.125850Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.125850Z"},"links":{"cited_paper":"/paper/2310.05297","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:6a214d5c314fcde7e1d1e98c9e45920cec9f4c6a85a210e1f561a3dee6f3e5f4","observation_id":"e4cc450d-a3ac-4e1e-8428-25beb4c0a2bc","resolution":{"observed_at":"2026-08-12T12:56:55.125850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.03003","last_updated":"2022-09-07T08:59:55Z","snapshot_observed_at":"2026-07-06T13:49:40.974495Z","submitted_at":"2022-09-07T08:59:55Z","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.03003","snapshot_observed_at":"2026-08-12T12:56:55.107281Z","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow, September 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.107281Z"},"links":{"cited_paper":"/paper/2209.03003","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:d28a4ed274f1271230d750a432c12196c2e80a0826c643f74d008bb32cf7875f","observation_id":"675a98e3-5707-4100-aa46-8ce165e3d0af","resolution":{"observed_at":"2026-08-12T12:56:55.107281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19739","last_updated":"2024-04-30T17:37:21Z","snapshot_observed_at":"2026-07-06T18:07:47.744531Z","submitted_at":"2024-04-30T17:37:21Z","title":"Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19739","snapshot_observed_at":"2026-08-12T12:56:55.135203Z","title":"Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation, April 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.135203Z"},"links":{"cited_paper":"/paper/2404.19739","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:8295a946658dbf9b59d61ba4ae92df0e7f21b6949472a45366768e590f3672ce","observation_id":"9e9039de-68ec-4330-b21a-21def85899e1","resolution":{"observed_at":"2026-08-12T12:56:55.135203Z","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":"2026-08-12T12:56:56.170547Z","title":"Fisher Flow Matching for Generative Modeling over Discrete Data, May","venue":null,"work_id":"cd29fbab-4ffd-4c4e-8a2a-a4e9de426475","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.140168Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:231fcb840bb606424f9f4a299d4f295a8a412e2b25e957474fb8e67d4e2cdf26","observation_id":"f2155be4-d109-42d4-baca-a982f0ad2662","resolution":{"observed_at":"2026-08-12T12:56:56.175170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02391","last_updated":"2024-04-11T16:29:12Z","snapshot_observed_at":"2026-07-06T16:27:22.878185Z","submitted_at":"2023-10-03T19:24:24Z","title":"SE(3)-Stochastic Flow Matching for Protein Backbone Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02391","snapshot_observed_at":"2026-08-12T12:56:55.121092Z","title":"arXiv:2310.02391 [cs]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.121092Z"},"links":{"cited_paper":"/paper/2310.02391","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:e4620d6457cf55351d3510a8c0c3aea2e9de20e6b6ed19c3d597dedc38d383d9","observation_id":"35e1082c-2dfa-42c0-8887-22334b79e57c","resolution":{"observed_at":"2026-08-12T12:56:55.121092Z","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":"2026-08-12T12:56:55.154464Z","title":"Categorical Flow Matching on Statistical Manifolds, May 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.154464Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:dd63916b58cc44a6e1bf481d36c02a75e33b60ba1f51eb273c57faf922aef2fb","observation_id":"5c44a02f-f0d8-4778-9b50-8e79d5b9f5f7","resolution":{"observed_at":"2026-08-12T12:56:55.154464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20313","last_updated":"2024-12-11T15:42:13Z","snapshot_observed_at":"2026-08-12T07:01:48.406907Z","submitted_at":"2024-05-30T17:53:50Z","title":"Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20313","snapshot_observed_at":"2026-08-12T12:56:55.130450Z","title":"Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation, May 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.130450Z"},"links":{"cited_paper":"/paper/2405.20313","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:ca682f87e5fb61cdc25e83a4d0f02c0d6e9236be39e0b62ecd1563826f2471c9","observation_id":"1e8454f0-a524-4e48-8e7a-30966cd00be8","resolution":{"observed_at":"2026-08-12T12:56:55.130450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04997","last_updated":"2024-06-05T20:31:17Z","snapshot_observed_at":"2026-08-09T23:34:45.674930Z","submitted_at":"2024-02-07T16:15:36Z","title":"Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.04997","snapshot_observed_at":"2026-08-12T12:56:55.163980Z","title":"Genera- tive Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design, June 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.163980Z"},"links":{"cited_paper":"/paper/2402.04997","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:6e855b4b31585c2548927c682db422ca535dd57841852a0922dd6751fb2205a0","observation_id":"7b27096f-3d1b-4d7f-a04a-39d8d9e3ff79","resolution":{"observed_at":"2026-08-12T12:56:55.163980Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15595","last_updated":"2024-11-05T10:02:42Z","snapshot_observed_at":"2026-08-12T16:59:22.403908Z","submitted_at":"2024-07-22T12:33:27Z","title":"Discrete Flow Matching","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15595","snapshot_observed_at":"2026-08-12T12:56:55.169338Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.169338Z"},"links":{"cited_paper":"/paper/2407.15595","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:6f9d18ff5487d581ccc5b56b0e1510cbfd95661021162dd264f3958b999559d8","observation_id":"91bccffc-12e7-49c6-b42c-bec64417f2bd","resolution":{"observed_at":"2026-08-12T12:56:55.169338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14664","last_updated":"2024-10-30T11:01:10Z","snapshot_observed_at":"2026-08-10T05:44:46.626730Z","submitted_at":"2024-05-23T15:02:11Z","title":"Fisher Flow Matching for Generative Modeling over Discrete Data","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14664","snapshot_observed_at":"2026-08-12T12:56:55.144792Z","title":"arXiv:2405.14664 [cs]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.144792Z"},"links":{"cited_paper":"/paper/2405.14664","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:60643c84e3d069a913bbd5c23c4f1fb3b360250b9cc3554d29996b9121c3c741","observation_id":"06062279-584e-43fc-9d76-46fdf8936fa9","resolution":{"observed_at":"2026-08-12T12:56:55.144792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05841","last_updated":"2024-05-30T19:09:41Z","snapshot_observed_at":"2026-08-10T10:35:03.217449Z","submitted_at":"2024-02-08T17:18:01Z","title":"Dirichlet Flow Matching with Applications to DNA Sequence Design","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05841","snapshot_observed_at":"2026-08-12T12:56:55.149553Z","title":"Dirichlet Flow Matching with Applications to DNA Sequence Design, February 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.149553Z"},"links":{"cited_paper":"/paper/2402.05841","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:353b01aaffe0e2d056fee922ae7ac657e7eff2a78769add140a994bbd59f4bbd","observation_id":"d9d12940-799b-4cc0-87fa-6c852d2f2504","resolution":{"observed_at":"2026-08-12T12:56:55.149553Z","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":"2026-08-12T12:56:56.142169Z","title":"GEOM, energy-annotated molecular confor- mations for property prediction and molecular generation","venue":null,"work_id":"f503c61b-37a3-4f06-b951-ff861c3674a3","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.187521Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:10604f621b040e763754b21f6277bb0f42027f2e254fc5e481db2333493fe2af","observation_id":"3e6a5695-34ac-45ce-8ae5-05259f57d8d6","resolution":{"observed_at":"2026-08-12T12:56:56.146776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04843","last_updated":"2025-08-15T21:12:02Z","snapshot_observed_at":"2026-07-06T18:27:03.044022Z","submitted_at":"2024-06-07T11:16:17Z","title":"Variational Flow Matching for Graph Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04843","snapshot_observed_at":"2026-08-12T12:56:55.159013Z","title":"Variational Flow Matching for Graph Generation, June 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.159013Z"},"links":{"cited_paper":"/paper/2406.04843","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:07feda8ba1927409b85bc9bd51d11a686eba3beae01704225762f234feaeee07","observation_id":"611de38a-7e83-43a3-9568-163f764fe82d","resolution":{"observed_at":"2026-08-12T12:56:55.159013Z","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":"2026-08-12T12:56:56.128191Z","title":"Blum, and Jean-Louis Reymond","venue":null,"work_id":"4cfb4e82-56fb-44fc-a1af-e21daf67eb43","year":2012},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.200798Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:b2260e04149bc920f56d8c9164c41a6825fac41a897ace116e44d4716c6dd26f","observation_id":"c225df5d-c3a2-475a-b000-1a155a33b185","resolution":{"observed_at":"2026-08-12T12:56:56.132816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T12:56:55.209768Z","title":"Dral, Matthias Rupp, and O","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.209768Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:3240eeccbb2ec0775e1aef0a033fc828fb96a4b339375cb74d4778cd73b48a62","observation_id":"77e5965d-9051-447b-927d-d032bbaf9f1a","resolution":{"observed_at":"2026-08-12T12:56:55.209768Z","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":"2026-08-12T12:56:56.155980Z","title":"Equivariant Flow Matching with Hybrid Probability Transport, December","venue":null,"work_id":"6215e70a-0eda-4a95-944b-5a572b44c60c","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.174066Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:b21a806f131832eafb4e219b06d839236cf1186d6c2c69f5db8610962c611fbe","observation_id":"a8e04245-6ad7-44b3-9fcc-c32a66cee807","resolution":{"observed_at":"2026-08-12T12:56:56.160465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07168","last_updated":"2023-12-12T11:13:13Z","snapshot_observed_at":"2026-07-06T17:00:25.040361Z","submitted_at":"2023-12-12T11:13:13Z","title":"Equivariant Flow Matching with Hybrid Probability Transport","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.07168","snapshot_observed_at":"2026-08-12T12:56:55.178545Z","title":"arXiv:2312.07168 [cs]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.178545Z"},"links":{"cited_paper":"/paper/2312.07168","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:66b4ca0013d360ed0cabb6a2d6b8d074a3ebfd2cf0cc805d4582f4e9b77ec34b","observation_id":"e2c7f540-1984-4475-b768-df520dae5552","resolution":{"observed_at":"2026-08-12T12:56:55.178545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.03843","last_updated":"2021-07-13T12:42:27Z","snapshot_observed_at":"2026-08-09T18:30:56.774424Z","submitted_at":"2021-06-07T17:57:04Z","title":"Equivariant Graph Neural Networks for 3D Macromolecular Structure","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.03843","snapshot_observed_at":"2026-08-12T12:56:55.183100Z","title":"Soni, and Ron O","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.183100Z"},"links":{"cited_paper":"/paper/2106.03843","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:69643f0e39bdce53e2025bec337a54bacad01c8dd7b2fa8aa248fc9e47c098c8","observation_id":"28d495ab-3f2e-46e7-b43b-08b4879d137a","resolution":{"observed_at":"2026-08-12T12:56:55.183100Z","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/ci990423o","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:56:55.306016Z","title":"Strategic Pooling of Compounds for High-Throughput Screening","venue":null,"work_id":"9ed87b5f-1039-4581-9d17-90f50081c464","year":1999},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.227287Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:6518951dadb9553937652f3a201762b580aacfe0ad8242cedeedab87acbd797c","observation_id":"5df989e8-8399-46b7-8dca-a9acf1c17bc6","resolution":{"observed_at":"2026-08-12T12:56:55.312495Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T12:56:55.231477Z","title":"The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.231477Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:a42d76395fb14c2c3b89352eb9e85063fb80a18dff31c56a578d4ff75c69f148","observation_id":"6a8e9f65-f5a0-4325-b7b8-79387ab98b24","resolution":{"observed_at":"2026-08-12T12:56:55.231477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09048","last_updated":"2023-06-05T15:26:26Z","snapshot_observed_at":"2026-08-10T08:01:24.377293Z","submitted_at":"2023-02-17T18:27:14Z","title":"MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09048","snapshot_observed_at":"2026-08-12T12:56:55.196387Z","title":"MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation, June 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.196387Z"},"links":{"cited_paper":"/paper/2302.09048","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:fa5927bdb2cb51c158056ce6bd06850507d6dcc301901dc01cf4d7f011e3bd1f","observation_id":"f3578eb6-5164-4c13-a9d9-86ed09fc0ab4","resolution":{"observed_at":"2026-08-12T12:56:55.196387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12347","last_updated":"2023-06-04T10:09:36Z","snapshot_observed_at":"2026-08-09T12:19:13.251973Z","submitted_at":"2023-05-21T04:49:53Z","title":"Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12347","snapshot_observed_at":"2026-08-12T12:56:55.240514Z","title":"Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation, June 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.240514Z"},"links":{"cited_paper":"/paper/2305.12347","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:1984a6a6dcd6b1a5d6be149af2766c62d6ac2c293e2a12777b06ae25586f7027","observation_id":"c3d9daaa-a0ed-4f2a-a140-a40d13992048","resolution":{"observed_at":"2026-08-12T12:56:55.240514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17296","last_updated":"2023-11-24T16:08:38Z","snapshot_observed_at":"2026-08-08T20:55:14.804765Z","submitted_at":"2023-09-29T14:53:05Z","title":"Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.17296","snapshot_observed_at":"2026-08-12T12:56:55.245100Z","title":"Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation, November 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.245100Z"},"links":{"cited_paper":"/paper/2309.17296","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:932f4fe9595a5730e86e4ce2dfe26362ac96a4f1f2ae3f6343b8a5fd14387149","observation_id":"73cea12e-e6e9-459b-be15-d5704c75ad42","resolution":{"observed_at":"2026-08-12T12:56:55.245100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07266","last_updated":"2025-02-28T16:56:08Z","snapshot_observed_at":"2026-08-09T06:41:48.117661Z","submitted_at":"2024-06-11T13:51:51Z","title":"SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07266","snapshot_observed_at":"2026-08-12T12:56:55.249551Z","title":"Efficient 3D Molecular Generation with Flow Matching and Scale Optimal Transport, June 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.249551Z"},"links":{"cited_paper":"/paper/2406.07266","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:26b568846e8f9d190748b1fe831e81f1299dd14adc450ed8871e9e04a9cc234c","observation_id":"551cb8f6-7791-4b14-9f1f-742a8b1dfd9d","resolution":{"observed_at":"2026-08-12T12:56:55.249551Z","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":"2026-08-12T12:56:56.113938Z","title":"URL http://www.rdkit.org/","venue":null,"work_id":"87d956d3-6085-4f6e-a7bf-b4721d73ef97","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.214185Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:dc2821457dd106a80fbd53c8c5c7122e983134e0183e91d1516756ab812354de","observation_id":"7ea27bca-8bfa-440c-94c3-6dc4441922c3","resolution":{"observed_at":"2026-08-12T12:56:56.118692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T12:56:56.099076Z","title":null,"venue":null,"work_id":"d1f8f170-e4c3-4d6e-a467-ff5de36bed7a","year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.218560Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:740c472ff711cb0b393d0db790f07fc35738f4c401399ce5ce03906e26a4050c","observation_id":"c68f54c1-73df-41ff-a5b5-5c3e03a77784","resolution":{"observed_at":"2026-08-12T12:56:56.104187Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T12:56:55.222773Z","title":"Lessons Learnt from Assembling Screening Libraries for Drug Dis- covery for Neglected Diseases","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.222773Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:a88d0123b4f7d6de3f18a7f76a031af1fd92df878023cc20360f5fbb08faa586","observation_id":"ebc30b52-aa17-430e-85c3-c1ff7bf91487","resolution":{"observed_at":"2026-08-12T12:56:55.222773Z","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":"2026-08-12T12:56:56.076044Z","title":"PatWalters/useful_rdkit_utils, September 2024","venue":null,"work_id":"c1aec1d8-dd44-4a7d-ac42-5de636445dc6","year":2024},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.236067Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:51a457bbbb7132f9828ed48a6a614f230236703b1f4820828524ff3b8adf233b","observation_id":"21e4100b-30f6-4c95-846f-21f9d9dee1a5","resolution":{"observed_at":"2026-08-12T12:56:56.080373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15030","last_updated":"2023-11-23T21:53:19Z","snapshot_observed_at":"2026-07-06T15:46:59.082800Z","submitted_at":"2023-06-26T19:40:10Z","title":"Equivariant flow matching","version":2},"cited_work":{"arxiv_id":"2306.15030","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.15030","snapshot_observed_at":"2026-08-12T12:56:55.415660Z","title":"Equivariant flow matching","venue":"stat.ML","work_id":"6668c522-382e-4098-a577-10959f301916","year":2023},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.254002Z"},"links":{"cited_paper":"/paper/2306.15030","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:813a035b4ed93e0b88f98545a4497bc1c9b0f67624cc8a9fdf8a164dec1ff793","observation_id":"18f75124-7e4b-4cc1-8e7c-f4424771370f","resolution":{"observed_at":"2026-08-12T12:56:55.420546Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.01315","last_updated":"2020-08-25T15:46:13Z","snapshot_observed_at":"2026-07-06T08:18:46.549511Z","submitted_at":"2019-09-03T17:10:28Z","title":"Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.01315","snapshot_observed_at":"2026-08-12T12:56:55.258677Z","title":"interpolant schedule","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.258677Z"},"links":{"cited_paper":"/paper/1909.01315","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:f4bc305c4565c8b64d17002d2dfcb0b532073e92c91ebf875234b9056fe00a87","observation_id":"6debe6f6-49c1-489f-854a-51d403ffdf23","resolution":{"observed_at":"2026-08-12T12:56:55.258677Z","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":"2026-08-12T12:56:56.061556Z","title":"The data distribution are one-hot vectors indicating the type of each atom","venue":null,"work_id":"4a790638-0b46-42b9-86da-4bb29acde26c","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.263817Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:1c716d569581809422acc5919182730f15c24759d8cab953be221f008758c8e2","observation_id":"7638de15-3788-429a-9aa8-9b1f3ab460f7","resolution":{"observed_at":"2026-08-12T12:56:56.066383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T12:56:56.046894Z","title":"marginal-simplex","venue":null,"work_id":"4e19b252-961c-44a1-a631-87a95be5886b","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.268186Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:a75a6961d1c116ddb14c5d20ae8e83ffe025c066942d0188b43463c1def2d570","observation_id":"d90b9bf4-1c92-4432-a7f3-2b99cd6e9ef2","resolution":{"observed_at":"2026-08-12T12:56:56.051544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T12:56:56.032448Z","title":null,"venue":null,"work_id":"583db9db-a7da-4b69-bfbd-12fdba7846f2","year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.273074Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:1edbeaa4d87431a44e32aa783663659f769fdda4c19d7e354da712bbd9163231","observation_id":"190c91f8-60e3-4c4b-8f31-b2f1717d84dd","resolution":{"observed_at":"2026-08-12T12:56:56.037168Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11239","last_updated":"2020-12-16T21:15:05Z","snapshot_observed_at":"2026-08-10T05:21:27.485481Z","submitted_at":"2020-06-19T17:24:44Z","title":"Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11239","snapshot_observed_at":"2026-08-12T12:56:55.083642Z","title":"arXiv:2006.11239 [cs, stat]","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.083642Z"},"links":{"cited_paper":"/paper/2006.11239","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:14235ca32c58a5343ecc76d3d91022a81c620c14a3fd1e2c057110204057d0b4","observation_id":"f1bfe641-4ef2-4a8d-a61e-ce3b1e1218c2","resolution":{"observed_at":"2026-08-12T12:56:55.083642Z","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":"2026-08-12T12:56:55.191856Z","title":"doi: 10.1038/s41597-022-01288-4","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.191856Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:d13365200538dae0682cc9d31a8d5b74e3f67753ad648d62293a321ab9126f2f","observation_id":"e68ef5a8-6091-4d54-a41c-529e8011dc58","resolution":{"observed_at":"2026-08-12T12:56:55.191856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.03543","last_updated":"2023-03-06T23:01:43Z","snapshot_observed_at":"2026-08-09T15:16:10.284305Z","submitted_at":"2023-03-06T23:01:43Z","title":"3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.03543","snapshot_observed_at":"2026-08-12T12:56:55.011720Z","title":"arXiv:2303.03543 [cs, q-bio]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.011720Z"},"links":{"cited_paper":"/paper/2303.03543","citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:82bfd1c411e5ef808278bf4993a5ddbb3d108b2010adf84065daacb9c4c43efa","observation_id":"989a1fcd-0c9e-4d3e-acf4-bee6c58957f5","resolution":{"observed_at":"2026-08-12T12:56:55.011720Z","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":"2026-08-12T12:56:55.041887Z","title":"doi: 10.1038/s42256-024-00815-9","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.041887Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:cc212e736892022ee1c51c0a4c1163860cf40c7a8a7e43e9b0590cfaf3f2fd39","observation_id":"995f14a1-f1b0-4140-b6e4-7303d4a4540a","resolution":{"observed_at":"2026-08-12T12:56:55.041887Z","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":"2026-08-12T12:56:55.205269Z","title":"URL https://doi.org/10.1021/ci300415d","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","version":1},"reference_index":9596,"source":"pdf_text","source_observed_at":"2026-08-12T12:56:55.205269Z"},"links":{"citing_paper":"/paper/2411.16644"},"observation_digest":"sha256:83ea49607e80cc3137d9be1f62e00023d5fd52df4a1e175c88e08c21a05f4e26","observation_id":"141da5b6-56d5-48ad-ab1f-f449f7152a22","resolution":{"observed_at":"2026-08-12T12:56:55.205269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.16644","last_updated":"2024-11-25T18:27:39Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T12:50:42.339506Z","submitted_at":"2024-11-25T18:27:39Z","title":"Exploring Discrete Flow Matching for 3D De Novo Molecule Generation"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":42,"verified_exact":3,"verified_fuzzy":14},"total_outbound_references":59},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2411.16644."}