{"as_of":"2026-08-22T23:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:399473a5fc98241e55124f18d1fbaca146dafe755814737a6999f880ef2186c1","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:18:30.201643Z","state":"measured"},{"denominator":65,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":65,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2608.07078/citation-record","integrity":"/paper/2608.07078/integrity","json":"/paper/2608.07078/citation-record.json","paper":"/paper/2608.07078"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bfgp/els036","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:32.362337Z","title":"Protein–protein interaction networks: unraveling the wiring of molecular machines within the cell,","venue":null,"work_id":"5252ec57-4034-4c9e-801f-db7fab3dbe13","year":2012},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.328469Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:b41d10db4cc8940beee93343fdbf9a38967afd1dce3bff4414b5e5016fb789f5","observation_id":"1269c0de-aaeb-43c3-9543-517aeb7a24ba","resolution":{"observed_at":"2026-08-10T15:18:32.366947Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.cell.2005.08.029","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-21T11:03:19.436173Z","title":"A human protein-protein interaction network: a resource for annotating the proteome,","venue":"Cell","work_id":"bccd94cd-2087-4d32-9861-9cf433cd96f0","year":2005},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.412017Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:1297e52b3de55a8e397aedfea7c582cc574e252799b362d3ae393c7cd010910e","observation_id":"39545b44-4df8-4ee2-8810-15d39faa8cee","resolution":{"observed_at":"2026-08-10T15:18:32.278570Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/acs.jctc.4c00255","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:32.143006Z","title":"Exploring the conformational ensembles of protein–protein complex with transformer-based generative model,","venue":null,"work_id":"1cc8661f-720b-4eed-b273-35f1b14d619f","year":2024},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.450652Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:9eee79781d87f1f3d999feeceed03116d51aef3df50deae83179270cb0fa9609","observation_id":"8f084d42-b5fe-4ad0-af9f-f21bd2c3c1ed","resolution":{"observed_at":"2026-08-10T15:18:32.147358Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:35.791933Z","title":"Structure-based cross-docking analysis of antibody–antigen interactions,","venue":null,"work_id":"1a31cd46-fb87-4127-aace-9242f3da0ed1","year":null},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.455435Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:fd150cb4e96fb9c99ef3ff0045fe49042413001b23f47b0109ab51773e2ec6a3","observation_id":"b0fccd28-0862-452b-b362-ebf94c437222","resolution":{"observed_at":"2026-08-10T15:18:35.866255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:29.465437Z","title":"Development of therapeutic antibodies for the treatment of diseases,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.465437Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:d00058e6d5265c0b5b03e57ac253380a0cad6aa3a79c200b7def5a2fcb46eeb7","observation_id":"175f61b0-46ba-418d-8f47-dea351864357","resolution":{"observed_at":"2026-08-10T15:18:29.465437Z","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":"10.1038/s41467-020-20076-5","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:32.105730Z","title":"Integrative modeling of membrane-associated protein assemblies,","venue":null,"work_id":"e2c02a24-8fc2-422d-b9a4-81443078d160","year":2020},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.470085Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:b2ef25dbaaa3211214aa7db27d50e8d287ce9ce1b0a4ea86b9471d59734f2e56","observation_id":"21a3f879-321a-466e-894b-152d4a41f6da","resolution":{"observed_at":"2026-08-10T15:18:32.111286Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0441.2015","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:35.433343Z","title":"Understanding the challenges of protein flexibility in drug design,","venue":null,"work_id":"6a99aedc-270f-46ac-9fad-52f005dfb1a2","year":2015},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.475897Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:afa03a873806990c475c15bee12ee28036209740aab00bd4038959a09e06be76","observation_id":"532ca1e3-eeaa-4bb6-b5ce-3a66a6f0ee1b","resolution":{"observed_at":"2026-08-10T15:18:35.517366Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.sbi.2017.10.010","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:32.009585Z","title":"Protein structure-based drug design: from docking to molecular dynamics,","venue":null,"work_id":"4ef76c58-fb3f-475d-b5c3-438a38a5bedf","year":2018},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.481849Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:708f4ae7c8d34ab5a54c85c861a1983b3b3eeaf5fda7168f4792fb4d054bfa0d","observation_id":"3e55358d-fb90-4f84-8cea-0db44eeca57d","resolution":{"observed_at":"2026-08-10T15:18:32.050369Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/btx555","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:31.916367Z","title":"Lightdock: a new multi-scale approach to protein–protein docking,","venue":null,"work_id":"4635c370-6670-41ba-aabd-9948edfb2155","year":2018},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.486550Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:249ab061698c4df6e4973327ed1641b27f5a933a73ccb3c9940ba79acb8ce676","observation_id":"8746ff92-f57d-4128-9d72-16872b8bf549","resolution":{"observed_at":"2026-08-10T15:18:31.921362Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/btz642","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:31.903205Z","title":"Lightdock goes information-driven,","venue":null,"work_id":"10aad469-34ae-4641-a03f-2a2ffdc9f251","year":2020},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.490777Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:beb4590ac44f1949ed84363cecfc41e0fcff0c17dc00a76966a7e862ee5e9679","observation_id":"1d9638a0-b522-4ede-9c69-52650b5be109","resolution":{"observed_at":"2026-08-10T15:18:31.907254Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:29.495915Z","title":"Uniprot: a hub for protein information,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.495915Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:dbad2933902226700c06bf5e2f4d8fb51aeacf89fef5c95ff67d2b058a39deae","observation_id":"571eaec9-264f-405b-b958-a714b491386f","resolution":{"observed_at":"2026-08-10T15:18:29.495915Z","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":"10.1016/j.eswa.2011.12.017","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:31.879978Z","title":"The improvement of glowworm swarm optimization for continuous optimization problems,","venue":null,"work_id":"fb859fe3-0221-469b-ab91-f499fd5fc77e","year":2012},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.500434Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:61af8b25cfc529212812b06542b7cf71462104427f221396d000eb44d226e9f3","observation_id":"a8911c71-f301-4747-9c5f-bc108dd62617","resolution":{"observed_at":"2026-08-10T15:18:31.884574Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11721-008-0021-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-20T11:03:42.707129Z","title":"Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions,","venue":"Swarm Intelligence","work_id":"2bfb5088-48fc-43df-9eba-e581d219654c","year":2009},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.505145Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:0d0c9b868a8f00277c7537f17cfa5030ecac42f17d15f0e9e9ff2762caac7dc1","observation_id":"f89aac4f-ac04-4982-a405-d321f3afb340","resolution":{"observed_at":"2026-08-10T15:18:31.869890Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:29.509472Z","title":"Nvidia tensor core programmability, performance & precision,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.509472Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:1c227edfa44421c015206d52d9b465a105f51743258485f1b2a24c81481361ca","observation_id":"f13bc592-7193-453b-ac70-af49ce8de7c1","resolution":{"observed_at":"2026-08-10T15:18:29.509472Z","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":"2026-08-10T15:18:35.677611Z","title":"Piper: an fft-based protein docking program with pairwise potentials,","venue":null,"work_id":"3d44a125-f673-4e75-a44d-748f3cb289cf","year":null},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.513385Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:21d949e66f31a64aff1290f8104b93f13e5048594adab49e2f74e333d7360843","observation_id":"89da60fc-3b1b-4833-be80-3c02acd84c24","resolution":{"observed_at":"2026-08-10T15:18:35.681696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3895.15138","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:35.130836Z","title":"Gpu acceleration of a production molecular docking code,","venue":null,"work_id":"8aa8ceb1-1c64-4df2-89cb-49ac0b3250e1","year":2009},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.521768Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:565ead9b3602634ac915fc6a907f89ba9899746868b786ab706dfdfa9f950929","observation_id":"44e09307-5a11-4e56-a383-6a10653360f3","resolution":{"observed_at":"2026-08-10T15:18:35.176785Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:29.525748Z","title":"Gpu optimizations for a production molecular docking code,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.525748Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:0ddba5a0996c60a54cbca308e86644b2a6487a7e3959036a0d3220be82e51df7","observation_id":"34905dbf-0264-4dbd-976c-f22790a72d26","resolution":{"observed_at":"2026-08-10T15:18:29.525748Z","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":"10.1002/prot.21419","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"pydock: Electrostatics and desolvation for effective scoring of rigid-body protein– protein docking,","venue":"Proteins Structure Function and Bioinformatics","work_id":"db6cc41f-ce3f-48d8-8b80-e4b8cfd1c022","year":2007},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.529690Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:a1f50682cf19897abecc7841ed5049dff31b740c0820f8b5688287dbcb46d19f","observation_id":"67e87059-c955-49d0-9ce1-0a5f5079cc8f","resolution":{"observed_at":"2026-08-10T15:18:31.509358Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:35.662753Z","title":"Megadock: an all-to-all protein-protein interaction prediction system using tertiary structure data,","venue":null,"work_id":"83d54257-f558-4a54-8a41-77e64cd73f80","year":2014},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.534230Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:835b70450413ce17d5d2281ef0750ab4777343ac3b462f4935ea7b6ae3c93d33","observation_id":"795ff173-5f49-4c77-a155-302655e6978f","resolution":{"observed_at":"2026-08-10T15:18:35.667404Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pone.0024657","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:31.488725Z","title":"Accelerating protein docking in zdock using an advanced 3d convolution library,","venue":null,"work_id":"8e785fe7-d24a-41a9-a951-3e1da164a800","year":2011},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.538004Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:89f3f650c4f83ab683392e7bc3bde78b696474dc656fc1f74f7eac6ef33c1b05","observation_id":"32ba9d77-ace9-46c9-94fb-4e03926bc5c7","resolution":{"observed_at":"2026-08-10T15:18:31.494220Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/bti229","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:31.472980Z","title":"M-zdock: a grid-based approach for c n symmetric multimer docking,","venue":null,"work_id":"55c7582a-f9bb-444e-bc9b-809c4a28ce2d","year":2005},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.541843Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:7a06938319128eeba5c203f41920f08b3a36cd3e91da7e2db04257b6a7401b31","observation_id":"7f896672-7ac3-4fe3-8402-a1cd746995ea","resolution":{"observed_at":"2026-08-10T15:18:31.477768Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/prot.21502","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Integrating statistical pair potentials into protein complex prediction,","venue":"Proteins Structure Function and Bioinformatics","work_id":"a6866bbd-e193-4242-b4a5-b1c16f3232b8","year":2007},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.561087Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:299305b22cd0c842f5371595e73aeb9d9b7bb2b7aa7f1d3b10a059dc6ade3ec6","observation_id":"1130b1f3-71e3-4a66-a1e0-0d54ae3643f0","resolution":{"observed_at":"2026-08-10T15:18:31.462295Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/prot.10389","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Zdock: an initial-stage protein- docking algorithm,","venue":"Proteins Structure Function and Bioinformatics","work_id":"23491dac-9c1c-4163-921e-4bd4c1b99c1d","year":2003},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.619044Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:7b66f85fc17680fec6d1171ac1fcff7ba0673144a3d6c0eaca8c01b41540f1a8","observation_id":"b8863458-ebd5-411f-8d51-966a12ef1d60","resolution":{"observed_at":"2026-08-10T15:18:31.274308Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/nprot.2010.32","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:31.206644Z","title":"The haddock web server for data-driven biomolecular docking,","venue":null,"work_id":"4848a318-bae3-4e47-a608-8884ecb791d3","year":2010},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.685622Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:e8201846bc40f2aa133993aac56a7b01212d6bf64d9047e456bb42ed2e524186","observation_id":"ae7c54a6-c9bf-4f3e-875a-22922a047b24","resolution":{"observed_at":"2026-08-10T15:18:31.211621Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:29.760039Z","title":"The rosettadock server for local protein– protein docking,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.760039Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:539fd8eb4d38b52d4b3d5c50e89ef3a9427d34bc43a831da575da815727d2817","observation_id":"26f083f6-0821-4bae-86fe-6d9187adc14b","resolution":{"observed_at":"2026-08-10T15:18:29.760039Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/bty355","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:31.183607Z","title":"Efficient flexible backbone protein–protein docking for challenging targets,","venue":null,"work_id":"1aefb618-8c18-490f-bef5-2c8bcda9af14","year":2018},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.795344Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:74cf4d09a11f7cb68893789d226e7ad8f7efbf6c0f0ea5682dc4aa8c9034461e","observation_id":"dcab13b4-5ea9-4d7b-8b4c-b1efd0fba5e1","resolution":{"observed_at":"2026-08-10T15:18:31.187725Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/btt038","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:31.102249Z","title":"Swarmdock: a server for flexible protein–protein docking,","venue":null,"work_id":"827d15c7-94da-4160-b731-4a25ba553855","year":2013},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.799485Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:12c363c20f78da54730d9d9976f3611c92d8753f9c1098027156fceae14ff8aa","observation_id":"e45b0b6b-6e1b-4066-be2f-a2ce1e13a2ac","resolution":{"observed_at":"2026-08-10T15:18:31.169220Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/ijms11103623","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.918054Z","title":"Swarmdock and the use of normal modes in protein-protein docking,","venue":null,"work_id":"eaa38112-e8ba-47ed-97de-a7e9c4999695","year":2010},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.803982Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:df928439bf9410faa799a482706d478626b8a399103f1d76c8e1d2f6f5f1da45","observation_id":"166c3d79-f042-4e90-bd2b-63fba064c7a6","resolution":{"observed_at":"2026-08-10T15:18:31.023496Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.12688/f1000research.7931.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.826295Z","title":"Freesasa: An open source c library for solvent accessible surface area calculations,","venue":null,"work_id":"12c8ec90-4e74-4fb1-a67b-ac6cf905d419","year":2016},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.808374Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:a5a751e7eebcf1c313fda1af72d58e8ff3821ce19eb62baeca52735c79b94d67","observation_id":"21e66869-c895-43e3-a7ce-04cf10d91006","resolution":{"observed_at":"2026-08-10T15:18:30.831195Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:29.812525Z","title":"Animating rotation with quaternion curves,","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.812525Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:1d921845f08ac350073ac15b505703996df49242177ae4ded0ae88cdddc3a725","observation_id":"ce115bf4-bb30-47f0-9470-b455cae4aa46","resolution":{"observed_at":"2026-08-10T15:18:29.812525Z","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":"10.1002/1097-0134(20000815)40:","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.810983Z","title":"Dynamics of proteins predicted by molecular dynamics simulations and analytical approaches: Application toα-amylase inhibitor,","venue":null,"work_id":"d294b2d0-af77-46d4-80bb-bb12016dca17","year":2000},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.816397Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:4f7e703044a2b4f4d27f0b8f2a2da80de8045afeb6ea1159fff6e05bf90f4517","observation_id":"2a75a12b-77f9-474f-a561-3b1bb0c4cc74","resolution":{"observed_at":"2026-08-10T15:18:30.816582Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0006-3495(01)76033-x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.798211Z","title":"Anisotropy of fluctuation dynamics of proteins with an elastic network model,","venue":null,"work_id":"0499b979-648f-4e02-a736-332bd9f9c75d","year":2001},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.820752Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:1add4da7b716fdbe5b937f792dab920118d957d1a94132966e53cbbca98bf161","observation_id":"0dd7151d-76e9-4ea3-802c-bd3cae16da20","resolution":{"observed_at":"2026-08-10T15:18:30.802501Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1110/ps.033480.107","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.784519Z","title":"Ab initio folding of terminal segments with secondary structures reveals the fine difference between two closely related all-atom statistical energy functions,","venue":null,"work_id":"def11d96-058f-49fd-b541-729ba469c33c","year":2008},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.825020Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:f6a509f89ba046a78b3f1073ef31a68648edf51832991fc42cf89a3b41185260","observation_id":"22b3100b-623d-480b-9f12-228520cf34c1","resolution":{"observed_at":"2026-08-10T15:18:30.789347Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/b978-0-08-050755-2.50031-2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-21T11:03:19.436173Z","title":"Quaternion interpolation with extra spins,","venue":"Elsevier eBooks","work_id":"3b72b6fe-a46e-470b-a52b-ad060e03c667","year":1992},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.829394Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:0d833b5d026a531a43c49d5c528c446d70cd04098674f0d21d80b90a911d17da","observation_id":"a0d3a09e-3fe4-4d9a-95f6-672d535f9c43","resolution":{"observed_at":"2026-08-10T15:18:30.774420Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:35.648668Z","title":"Prody: protein dynamics inferred from theory and experiments,","venue":null,"work_id":"672d2b32-c6d9-4acc-888d-6506619711f5","year":2011},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.834549Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:b28f20ab9880fcb52513d91de9f3d81d62104f8a7db79aff16c135182b3518a6","observation_id":"22258810-7f9d-4371-aa8e-f3bf15184249","resolution":{"observed_at":"2026-08-10T15:18:35.653307Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:29.838907Z","title":"Nvidia a100 tensor core gpu: Performance and innovation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.838907Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:532532f18d488f13d5071a5e35b6ab9b8c53784a239e267e2021e87ad43c1f8e","observation_id":"1cc47ea0-5236-4e00-95ce-172fa32b3ad8","resolution":{"observed_at":"2026-08-10T15:18:29.838907Z","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":"0345.33310","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:34.670628Z","title":"Accelerating reduction and scan using tensor core units,","venue":null,"work_id":"103b3c99-e190-4322-95b6-2443ecb66f84","year":2019},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.843375Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:cf6b11345919160ede1edf35ed3ecd909c9e7f2849cb1d26cf93387cd8bd5631","observation_id":"c499a57a-7057-42b3-b065-4c6e467c5e80","resolution":{"observed_at":"2026-08-10T15:18:34.732829Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:29.847080Z","title":"Convstencil: Transform stencil computation to matrix multiplication on tensor cores,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.847080Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:a93b745176009ad330f2b4f513e63abc28aa698626f8d8c461001bac79a72d59","observation_id":"01ecc082-7bef-458d-b0d3-d122feb5f6fa","resolution":{"observed_at":"2026-08-10T15:18:29.847080Z","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":"2026-08-10T15:18:29.851283Z","title":"Toward accelerated stencil computation by adapting tensor core unit on gpu,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.851283Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:e7f99f62f2e9959fd306d9d27e7db273287fd29901941984589617a03e297a65","observation_id":"9641b013-5753-470f-889a-0c8f67d6c7c3","resolution":{"observed_at":"2026-08-10T15:18:29.851283Z","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":"2026-08-10T15:18:29.855072Z","title":"Berrybees: Breadth first search by bit-tensor- cores,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.855072Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:69a74f9daedff905a70c4402efe98148a4d272edd6e87beb3dd75b68d477ce08","observation_id":"a4389a29-1c7a-4f78-9374-d634be2cabe3","resolution":{"observed_at":"2026-08-10T15:18:29.855072Z","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":"2026-08-10T15:18:29.859165Z","title":"tcfft: A fast half-precision fft library for nvidia tensor cores,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.859165Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:d200d8a0feda918cc305014ceedf779731212c1e5a5b5efc1f25fbd54b24bbce","observation_id":"2f4c1e13-22ed-4585-b194-c02b74205809","resolution":{"observed_at":"2026-08-10T15:18:29.859165Z","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":"2026-08-10T15:18:29.862956Z","title":"Real-time high-resolution x-ray computed tomography,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.862956Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:b024da029383f0a2ad3bf7821876bdaa378323407c3fb29f726976f308bb2155","observation_id":"956c6fd5-eea6-4dbe-a14a-35183725441f","resolution":{"observed_at":"2026-08-10T15:18:29.862956Z","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":"6025.2022","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:34.139867Z","title":"Leveraging gpu tensor cores for double precision euclidean distance calculations,","venue":null,"work_id":"507a1750-3ceb-403a-bea3-f01a97d6749b","year":2022},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.867027Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:95118c7bbe6d5e49b4b7778fadf7311f3b87db8aae3592af4d46ffdd9aeaed6f","observation_id":"c17243a9-1cfd-44e7-9670-344f8d52953d","resolution":{"observed_at":"2026-08-10T15:18:34.206482Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.93658","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:33.862928Z","title":"3.2 the a100 datacenter gpu and ampere architecture,","venue":null,"work_id":"d7b565f0-ee2c-484b-a1a1-d046f4226670","year":2021},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.870964Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:9df6b3bd500b7389edacbd492d92299610dc0dc3853b6100deea66bb4e86085c","observation_id":"21a5318c-08ce-4f44-b927-7662ab64ee5e","resolution":{"observed_at":"2026-08-10T15:18:33.946069Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:29.874987Z","title":"Nvidia hopper h100 gpu: Scaling performance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.874987Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:e1c5430994937429ec57e96456702ffff10676a4137b54d063022d2578a6a597","observation_id":"af817e3e-19a5-4847-9127-96dfade100d9","resolution":{"observed_at":"2026-08-10T15:18:29.874987Z","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":"2026-08-10T15:18:29.878729Z","title":"Dtc-spmm: Bridging the gap in accelerating general sparse matrix multiplication with tensor cores,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.878729Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:dfc7fcff33f29708bbf3270e9bdcbe5c03c79847ab69137bf0f290080121cf16","observation_id":"e611c5f6-c9d1-4391-bfcc-1b8c94529380","resolution":{"observed_at":"2026-08-10T15:18:29.878729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.02298","last_updated":"2026-07-29T03:00:29Z","snapshot_observed_at":"2026-08-15T20:59:05.479049Z","submitted_at":"2026-03-02T18:31:12Z","title":"CuTe Layout Representation and Algebra","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.02298","snapshot_observed_at":"2026-08-10T15:18:29.883024Z","title":"CuTe Layout Representation and Algebra,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.883024Z"},"links":{"cited_paper":"/paper/2603.02298","citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:46cf1e0878be1accc9bdaf931a87b3249ee95f9dd9d58bad163ae3dc33110110","observation_id":"dc62c608-6278-4494-a212-ac31104ec4df","resolution":{"observed_at":"2026-08-10T15:18:29.883024Z","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":"2026-08-10T15:18:29.914893Z","title":"Matrix is all you need: Rearchitecting quantum chemistry to scale on ai accelerators,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.914893Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:5f591b4adfe88ac5cebc326fc0b682249a7aa3ae6d7172349e7adac70f11a605","observation_id":"5d896729-974d-4f00-83d9-083404548c52","resolution":{"observed_at":"2026-08-10T15:18:29.914893Z","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":"10.1016/j.str.2020.06.006","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.727163Z","title":"Performance and its limits in rigid body protein-protein docking,","venue":null,"work_id":"b722aa8c-3cc2-4d0e-8bb4-15fd42de031c","year":2020},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.958365Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:877c5ce8f1089acb123c8457c62a2db84589d61169a3060ed3c245e7f43e3026","observation_id":"fcb37abb-1958-4ce2-97e3-d4faf8196c15","resolution":{"observed_at":"2026-08-10T15:18:30.735851Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:35.631891Z","title":"Modelling protein docking using shape complementarity, electrostatics and biochemical information,","venue":null,"work_id":"5fa9fd6b-ac00-47aa-bfc8-3acf008838d8","year":null},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.018006Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:6cf64e7253068efa9db9a1a90416ea59c27486386891f58f7e53d037c6917fd4","observation_id":"824d2f17-37f0-420b-977b-e4c7ccb6eebe","resolution":{"observed_at":"2026-08-10T15:18:35.637915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/ja026939x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.605352Z","title":"Haddock: a protein- protein docking approach based on biochemical or biophysical information,","venue":null,"work_id":"7c766ea7-9eb4-462d-825a-8aaca2d97fc4","year":2003},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.109983Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:9ba1232951cc883c2875049477459b76c94fd85bb6d9da8a074ab8e42e3dc887","observation_id":"6a690329-76ec-46df-87cc-64476e9be841","resolution":{"observed_at":"2026-08-10T15:18:30.710910Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T15:18:35.612612Z","title":"The light- dock server: Artificial intelligence-powered modeling of macromolecular interactions,","venue":null,"work_id":"ca9a09c4-7810-4e38-8e2f-56b0ac8fe826","year":null},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.156921Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:1bb9fb786b3dbf7c99835c1c077eeee1c0caabaa0eb73ec9d97572ea2ca9ae1d","observation_id":"aba4c895-e9e6-4b83-a592-d4f23a4eddc9","resolution":{"observed_at":"2026-08-10T15:18:35.622361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10017","last_updated":"2020-02-24T00:04:39Z","snapshot_observed_at":"2026-08-17T11:03:51.944280Z","submitted_at":"2020-02-24T00:04:39Z","title":"EDEN: Sensitivity Analysis and Transiting Planet Detection Limits for Nearby Late Red Dwarfs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.10017","snapshot_observed_at":"2026-08-10T15:18:30.166814Z","title":"An overview of the bluegene/l supercomputer,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.166814Z"},"links":{"cited_paper":"/paper/2002.10017","citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:7283640ab0d36bbf50eb25c9ea335e0cca212c223e894312179fa0f7777924dd","observation_id":"6e16b208-8ae4-4cdb-a36b-44845398ec28","resolution":{"observed_at":"2026-08-10T15:18:30.166814Z","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":"10.1201/9781351104005-20","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.329800Z","title":"Tsubame2.0: The first petascale supercomputer in japan and the greatest production in the world,","venue":null,"work_id":"310b1363-6476-430e-8063-c595ac71fea3","year":2017},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.171796Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:c8568756efb4c1ac01738c16caadb5c2c4a1ff19416a03c81ef8c1264bfe615d","observation_id":"e97c5f18-3ba4-4247-891a-a54ddc6b7757","resolution":{"observed_at":"2026-08-10T15:18:30.371068Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:33.178976Z","title":"Juno: Optimizing high-dimensional approximate nearest neighbour search with sparsity-aware algorithm and ray-tracing core mapping,","venue":null,"work_id":"4a6bedad-5ff9-444d-9de3-d5b1921877ec","year":2024},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.175837Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:ad746b7fba6c63ce4db5e19878d52025309b31c797ccb11fd1af1594320d242a","observation_id":"51060e7d-4dc3-4f93-9f13-7679c31636c2","resolution":{"observed_at":"2026-08-10T15:18:33.230625Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:32.881348Z","title":"Demysti- fying the nvidia ampere architecture through microbenchmarking and instruction-level analysis,","venue":null,"work_id":"cb915d82-86d0-467d-beb3-f7852e4e8f67","year":2022},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.180222Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:ef40150fdf7518a0061813bf3446de43e9d588c6dc0a09a0cad75e7d53eae323","observation_id":"0d761dd5-b3f8-4f9b-9312-76c1c2db31f5","resolution":{"observed_at":"2026-08-10T15:18:32.945936Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10023","last_updated":"2022-06-20T07:44:09Z","snapshot_observed_at":"2026-08-18T03:07:03.605000Z","submitted_at":"2020-02-24T00:34:28Z","title":"Suboptimal Control of Unknown Second-order Nonlinear Systems with Guaranteed Global Convergence","version":4},"cited_work":{"arxiv_id":"2002.10023","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.10023","snapshot_observed_at":"2026-08-10T15:18:32.381940Z","title":"Suboptimal Control of Unknown Second-order Nonlinear Systems with Guaranteed Global Convergence","venue":"math.OC","work_id":"17144cf7-a6fd-41eb-902d-9c0cd8acd497","year":2020},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.183988Z"},"links":{"cited_paper":"/paper/2002.10023","citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:b0aba7b823b880398a1e0eef1759f377454f34871f51a0afb611c32927b3f528","observation_id":"b2ab200c-48f9-4d8a-bb87-6a6d674716a0","resolution":{"observed_at":"2026-08-10T15:18:32.386598Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1126/sciadv.adr5683","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.275045Z","title":"Atr-hippo drives force signaling to nuclear f-actin and links mechanotransduction to neurological disorders,","venue":null,"work_id":"48071d02-de7d-41f6-bfe7-b3bb3e1f039a","year":2025},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.188892Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:fa1e18d8d599af7d755974fde8468114dbfd1ef26d69c3e079fd5c76c9afe99c","observation_id":"1d67a01e-edd3-43d8-8d0a-0c63e9592302","resolution":{"observed_at":"2026-08-10T15:18:30.279431Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/febs.17258","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.261774Z","title":"Structural insights into ternary immunocomplex formation and cross-reactivity: binding of an anti- immunocomplex fabb12 to fab220-testosterone complex,","venue":null,"work_id":"1d804dd7-eedd-4e2c-972a-40efbf7324ce","year":2024},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.192734Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:dd673e091e0bdff517cd0c0909a0fe2f8a4324f4de28cfe495faa759115f7fba","observation_id":"cca793af-2e0d-4c8d-9b7e-cc8abf685f1a","resolution":{"observed_at":"2026-08-10T15:18:30.266755Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jmb.2015.07.016","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.248945Z","title":"Updates to the integrated protein–protein interaction benchmarks: docking benchmark version 5 and affinity benchmark version 2,","venue":null,"work_id":"ffec0fe6-d0e7-4c62-bfe5-f5e8f8a7d9a2","year":2015},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.197193Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:2dbcbb3f2afb0d33e16ad052f2a68e4c9fde8b832f529298678b9a16fc331321","observation_id":"93dc8a08-3ba9-4a00-885a-b53b3d8e3214","resolution":{"observed_at":"2026-08-10T15:18:30.252981Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/btae586","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.231920Z","title":"Dockq v2: Improved automatic quality measure for protein multimers, nucleic acids, and small molecules,","venue":null,"work_id":"40143d52-5421-4f74-b852-62542a6ac8cc","year":2024},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.201643Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:8ab77692ad252b1cedc90b6e74e555ff1b3bc8eeb1a7fd9174e0454d67cdd7fb","observation_id":"14978ef0-7fdf-4dac-b09f-6f658d97c960","resolution":{"observed_at":"2026-08-10T15:18:30.239043Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:33.518465Z","title":"Available: https://doi.org/10.1006/jmbi.1997.1203","venue":null,"work_id":"36605bbc-4e4c-4504-8578-38f90c0a7408","year":1997},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":1997,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.055690Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:24bb61bb248cd9c7f2acd0230ecb84273e6271e4cf56bdea3197e72918aa2153","observation_id":"aaa34a2f-3490-4aec-bf6a-05a50dd1e778","resolution":{"observed_at":"2026-08-10T15:18:33.587538Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/prot.21117","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Available: https://doi.org/10.1002/prot.21117","venue":"Proteins Structure Function and Bioinformatics","work_id":"30a17cd4-f2e3-48da-a5c0-834658a91c84","year":null},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.517507Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:f0787aafb2974114f7a105acf5053d23846b1ce9e8b7ed49ef6b09c3d1851de4","observation_id":"d4b2aaaf-26e4-4808-964c-986d162141b6","resolution":{"observed_at":"2026-08-10T15:18:31.628890Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-017-08414-y","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:32.129308Z","title":"Available: https://doi.org/10.1038/s41598-017-08414-y","venue":null,"work_id":"31f9281d-4913-4872-a77b-54bc4d9b0142","year":null},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:29.460184Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:a8e39bbb58e65329df7c3fdc49b86bde19a93cd273005c7841a05d138943f64f","observation_id":"8e55d5dc-1ffe-4659-a305-5a6dacf5f4fe","resolution":{"observed_at":"2026-08-10T15:18:32.133577Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/nar/gkad327","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:18:30.450445Z","title":"Available: https://doi.org/10.1093/nar/gkad327","venue":null,"work_id":"3e2ced1c-98ed-4404-a7c9-1c9a8245fdab","year":null},"citing_paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:30.162012Z"},"links":{"citing_paper":"/paper/2608.07078"},"observation_digest":"sha256:beaf7d148769b7d230cc8683f91352f4ed2c42a221e34439df987baa9e7cd87b","observation_id":"cf28bb9f-8157-45ad-9b4d-8af3db2cb057","resolution":{"observed_at":"2026-08-10T15:18:30.497886Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.07078","last_updated":"2026-08-07T10:29:20Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-19T03:49:23.442334Z","submitted_at":"2026-08-07T10:29:20Z","title":"Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":3,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":16,"verified_exact":38,"verified_fuzzy":4},"total_outbound_references":65},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2608.07078."}