{"as_of":"2026-08-20T09:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1123154502f5876ee79c2db38503ec11b528a8b924480cc410eb4828b47bd64c","coverage":[{"denominator":73,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":73,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:22:24.147824Z","state":"measured"},{"denominator":73,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":73,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2507.18380/citation-record","integrity":"/paper/2507.18380/integrity","json":"/paper/2507.18380/citation-record.json","paper":"/paper/2507.18380"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:22:25.411517Z","title":"Attwood, Sarah C","venue":null,"work_id":"f3f7535f-0869-463c-899e-e1d38712a483","year":2022},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.811609Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:800c816aef4529abf5b610a931b59dbb0e9e25ff069b736e130ebffe91fe3866","observation_id":"25013595-9995-452f-96c9-483bef8c14e8","resolution":{"observed_at":"2026-08-15T18:22:25.416806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:23.816894Z","title":"Flow network based generative models for non-iterative diverse candidate generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.816894Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:7311aa83e8521a8e75ac973d9de31ad4af5e2bff9b4aa2ed55002ac5d537386d","observation_id":"e2892ad8-8f49-43a5-b7ae-a0598bb8c247","resolution":{"observed_at":"2026-08-15T18:22:23.816894Z","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":"2026-08-15T18:22:25.378830Z","title":"Blei, Alp Kucukelbir, and Jon D","venue":null,"work_id":"415dbf8f-5ef4-41f3-9491-7f9fc3dc351d","year":2016},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.822347Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:680e097d4974d4a5c001de8dd152825bd4a0bb6a85439386dfc9d594dc7ed8bd","observation_id":"3744933a-54cc-46e1-8735-3c86b0016652","resolution":{"observed_at":"2026-08-15T18:22:25.385339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.359939Z","title":"Reweighted wake-sleep","venue":null,"work_id":"3c1db4ab-64f7-49dc-b4d9-3e4605e4952d","year":2015},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.827231Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:37ce1ad4906206d93d73140f20aea2a9a0979f471bf5882591b80c88209c93f1","observation_id":"5012910b-c09e-4176-8bc2-f28c6a91065a","resolution":{"observed_at":"2026-08-15T18:22:25.365539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.343528Z","title":null,"venue":null,"work_id":"90581a8e-5fc4-47b2-85b9-f5b4a43f503b","year":2012},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.831800Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:62680e26b7eb1eb988f803f9b28e2c524c4f32de801be3cb314976fbc460f1ff","observation_id":"466ec407-c12b-4449-b7bc-9d5ec328020e","resolution":{"observed_at":"2026-08-15T18:22:25.349150Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.322067Z","title":"Naesseth, and Itsik Pe'er","venue":null,"work_id":"30e9c28a-29a1-4af3-841c-7c8a68ad9423","year":2025},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.836363Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:b5dd79a52c54f3a125c79be676811e2791ded7a01c0f0f8c7cc39cadcb232115","observation_id":"39e3b7c8-7918-45f6-a193-2f0eb2c2ad4a","resolution":{"observed_at":"2026-08-15T18:22:25.330622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1406.1078","last_updated":"2014-09-03T00:25:02Z","snapshot_observed_at":"2026-08-15T13:36:27.756066Z","submitted_at":"2014-06-03T17:47:08Z","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.1078","snapshot_observed_at":"2026-08-15T18:22:23.841529Z","title":"Learning phrase representations using RNN encoder-decoder for statistical machine translation","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.841529Z"},"links":{"cited_paper":"/paper/1406.1078","citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:be865316aa8669e28c7f2aa2158a2a3daa74407d1a91ccd72c5e98517111fe82","observation_id":"5c483fdc-b1b4-41a4-8778-f31a22102309","resolution":{"observed_at":"2026-08-15T18:22:23.841529Z","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":"2026-08-15T18:22:25.299594Z","title":"Maximum likelihood of evolutionary trees is hard","venue":null,"work_id":"c04a3ffb-6db0-4326-908c-81495de4083d","year":2005},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.846989Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:db81c17ee995e9479911153bf10d4b6fc848edcca4f0453f11fbb643a8287b11","observation_id":"85fcc9d7-0777-4474-aa24-daf8eb02d57f","resolution":{"observed_at":"2026-08-15T18:22:25.305574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.07289","last_updated":"2016-02-22T07:02:58Z","snapshot_observed_at":"2026-08-18T04:36:00.952991Z","submitted_at":"2015-11-23T15:58:05Z","title":"Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.07289","snapshot_observed_at":"2026-08-15T18:22:23.851558Z","title":"Fast and accurate deep network learning by exponential linear units (elus)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.851558Z"},"links":{"cited_paper":"/paper/1511.07289","citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:52ba7a1b1ce29e2d2b039a903db656f1a3778c93b90f45e3eba3f37bab89e3ba","observation_id":"cab7a274-b9a4-4617-915a-8c86ba200546","resolution":{"observed_at":"2026-08-15T18:22:23.851558Z","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":"2026-08-15T18:22:25.280545Z","title":"Computational complexity of inferring phylogenies from dissimilarity matrices","venue":null,"work_id":"031de014-196a-4220-a2eb-788f3586d707","year":1987},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.856501Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:c02626f70fbb176c5414b738a3766d6e620c15d494dedcc2171c8e56cd5b0ca6","observation_id":"c7a45c00-52b0-4844-915b-b4cd22fb6a57","resolution":{"observed_at":"2026-08-15T18:22:25.286574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.261909Z","title":"Deepseek-v2: A powerful open-source language model","venue":null,"work_id":"fed38a14-6439-44b7-b056-8bc4351e2b8e","year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.860541Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:ef6f33a9227f8e6c20391517de894337e4da02750e55e3e81c09b2b2e7bfb720","observation_id":"2c2dcefb-da36-423f-852a-ab23e72499e5","resolution":{"observed_at":"2026-08-15T18:22:25.267464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/nrg1425","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:22:24.247277Z","title":"The expansion of conservation genetics","venue":null,"work_id":"03c6728c-aaab-4107-a2d2-6d7540236fa7","year":2004},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.864828Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:7eef7e79ad42b51da97d6f2cf8ba4aa2597975de8cbe319dac345417a3e3e401","observation_id":"d63a1c96-eed2-419b-8e4b-c1c1feaf5302","resolution":{"observed_at":"2026-08-15T18:22:24.252540Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.242623Z","title":"Probabilistic path H amiltonian M onte C arlo","venue":null,"work_id":"20443ecc-d3c2-48d2-986c-e36ff7bb1ed2","year":2017},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.869071Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:4845102deae0f321121775ab9606f8dbb30a4cb38a46697d7de2171cd1f3d93a","observation_id":"ad858086-44fd-4c20-8c22-f53c1d6f0267","resolution":{"observed_at":"2026-08-15T18:22:25.247850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.225055Z","title":"Beast: Bayesian evolutionary analysis by sampling trees","venue":null,"work_id":"92a6b43a-fac7-46a2-87ec-c1eed8c42246","year":2007},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.873147Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:90e6a85517d808177f11e29bca2ed9381c2853f492fe75676be3292d0b18e9df","observation_id":"2746ec17-7105-4342-a726-b54ec55c28bb","resolution":{"observed_at":"2026-08-15T18:22:25.230226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:23.877129Z","title":"Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.877129Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:a54795df41e3c7dfaeeb6138f8ae652f7d4e367e78231699f46047659198576b","observation_id":"312cd968-ad44-4960-b680-336bbe9e6827","resolution":{"observed_at":"2026-08-15T18:22:23.877129Z","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":"2026-08-15T18:22:25.194578Z","title":null,"venue":null,"work_id":"73d1eeee-3cc0-40bc-8148-004359d7f229","year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.881161Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:c572df700c56a4c8050262cc020b2132d6a7e315cd4b528f95f257c8b2bda7bd","observation_id":"0929be4c-2907-4fa5-ac72-6036d386230b","resolution":{"observed_at":"2026-08-15T18:22:25.199047Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/nature22040","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:22:25.178476Z","title":"u nther, Christian T Happi, Edward C Holmes, Brima Kargbo, Sakoba Ke \\","venue":null,"work_id":"70d36ed3-4932-49fe-9f24-b7ceb3415ded","year":2017},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.885734Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:54353d788b4cbe2728669cbfe8e1be30ceb0e28894951458cd4a7afd5ffa47e4","observation_id":"f39b3929-5be0-466f-85f5-2a3e341fd7f7","resolution":{"observed_at":"2026-08-15T18:22:25.184320Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.159666Z","title":"Felsenstein","venue":null,"work_id":"f9388520-da42-422d-b14a-f74c79e38690","year":1981},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.891062Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:1b9efcd6b570c3ac5fa32d47dbde3ef8684848ae29ccf415bccfce1e5f15a311","observation_id":"c0fb5838-e52a-47c3-af73-431a4f657b62","resolution":{"observed_at":"2026-08-15T18:22:25.165671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.142144Z","title":"Inferring Phylogenies","venue":null,"work_id":"040ff773-9878-4ecf-a7d1-8cd45ed31a3f","year":2004},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.895797Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:696bf2dbc214ea695c8568db1c90b78a138834894261bf8f7d5cadacb5a2a62c","observation_id":"6c2e1127-56f7-49f9-b25e-9b12c77e62b5","resolution":{"observed_at":"2026-08-15T18:22:25.147766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.124269Z","title":"Toward defining the course of evolution: minimum change for a specific tree topology","venue":null,"work_id":"a77208f0-9909-4137-a236-7143f7729c84","year":1971},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.900338Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:7e1d61541361a477ebbead54f3e25705a9c235d74edb2f446a45b581a4679234","observation_id":"d7d6c3fe-dbdc-4660-b78e-169f46c74db8","resolution":{"observed_at":"2026-08-15T18:22:25.129595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.108743Z","title":null,"venue":null,"work_id":"1696a5eb-d316-44d6-be87-8493ea538668","year":1996},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.904821Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:f433b03a0f12770321e2a0ea81597467232397dd25a48af22b35d9f8f0f68b1a","observation_id":"f889a792-066e-4a29-aa04-5da5eb27d36e","resolution":{"observed_at":"2026-08-15T18:22:25.113540Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.01212","last_updated":"2017-06-12T20:52:56Z","snapshot_observed_at":"2026-08-16T04:04:33.340455Z","submitted_at":"2017-04-04T23:00:44Z","title":"Neural Message Passing for Quantum Chemistry","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.01212","snapshot_observed_at":"2026-08-15T18:22:23.909324Z","title":"Schoenholz, Patrick F","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.909324Z"},"links":{"cited_paper":"/paper/1704.01212","citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:bcd2f10e4511655a8550ea55f1139d08acdaa054761da634655a5c88a36cfaed","observation_id":"aa950da5-1a93-4e65-b901-f51c4de416f5","resolution":{"observed_at":"2026-08-15T18:22:23.909324Z","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":"2026-08-15T18:22:25.092317Z","title":null,"venue":null,"work_id":"ccc1fff1-4eaa-47eb-b667-6b9f3ae24537","year":1990},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.913999Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:516ac28c35515341b775ce2f03194194bbebcc7e656c1ae54067fc32f3452623","observation_id":"c23e7cf8-4454-4638-b196-c10f99c7bbab","resolution":{"observed_at":"2026-08-15T18:22:25.097112Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.073354Z","title":null,"venue":null,"work_id":"e230bad7-5261-46a2-8641-0f52dca5644b","year":2003},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.918358Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:0afee1d14119dcb2c1d911ab8b9dd854e0833234014ffe5376b73f155c01c07a","observation_id":"b2794f99-5fd2-49ef-900d-0f2a2a2f349f","resolution":{"observed_at":"2026-08-15T18:22:25.079649Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/sysbio/syr074","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:22:24.231162Z","title":"Drummond","venue":null,"work_id":"f10dab47-782f-4cc8-a4c7-63dcf6cd1353","year":2012},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.922873Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:3717582e11cbfc09c34c2789394d49e96b055e478db828bc51ee0c070bd463fe","observation_id":"15c1d641-e5c0-45eb-9802-850ab03ae6e4","resolution":{"observed_at":"2026-08-15T18:22:24.235952Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.054847Z","title":"Efficient mixture learning in black-box variational inference","venue":null,"work_id":"1386a642-59fa-4511-9b3b-16e7918dbe2f","year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.927199Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:8e4dbfdb43ef786e6bd76d4786cd005d3f3122adf88fb7d3d8ae1a710e9db899","observation_id":"a6675ecb-3f34-436d-bbea-11587a5a645e","resolution":{"observed_at":"2026-08-15T18:22:25.061063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:23.931806Z","title":"An introduction to variational methods for graphical models","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.931806Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:28fd928a6e55fd84a76ec5ea98fc0a0af18dc178200effa671f3c37c527e8102","observation_id":"571ced14-9722-434d-8bcb-e185c67e596f","resolution":{"observed_at":"2026-08-15T18:22:23.931806Z","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":"2026-08-15T18:22:25.028763Z","title":"Evolution of protein molecules","venue":null,"work_id":"a6cc3b13-638d-457e-99f1-37a4bebb466d","year":1969},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.936766Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:f37d7539eef1c1a9faececc7071ff173d3f8b48bf5600185343abf0d62e3f73d","observation_id":"9e268641-ddad-4b00-8278-b01981210f6e","resolution":{"observed_at":"2026-08-15T18:22:25.033073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/molbev/msac154","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:22:24.212567Z","title":"Variational phylodynamic inference using pandemic-scale data","venue":null,"work_id":"d3c564fc-4cdf-4fc2-9997-d31293bb1c98","year":2022},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.940972Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:c39c00756591621e1a5de69af478066fae0ad9bbb96d46bb171a0a1eb1d8a698","observation_id":"5e041ec6-b300-48cb-83aa-52ff3de81ea4","resolution":{"observed_at":"2026-08-15T18:22:24.220120Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:25.010569Z","title":null,"venue":null,"work_id":"49fa65c3-f089-4d3e-9576-f0f838873fda","year":2015},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.945202Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:2c2a893fadcea8fe294c61a3d5fb3b9490dacbf0b1f7cee4a4ddcc3e485b3194","observation_id":"48016780-4c57-4261-bae2-081eba03556e","resolution":{"observed_at":"2026-08-15T18:22:25.016781Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.990765Z","title":"Kingma and Max Welling","venue":null,"work_id":"d1cf2f39-4839-402f-93ee-417ed99d4b6e","year":2014},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.949545Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:ed042fb7b6257a38e9d18f86192862a6f2b0ce95f0d8763b4d690bac2d034368","observation_id":"8514f7f2-266a-45a9-a13b-86476147538d","resolution":{"observed_at":"2026-08-15T18:22:24.995151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.973364Z","title":"VaiPhy : a variational inference based algorithm for phylogeny","venue":null,"work_id":"a212d727-3877-4bc8-a445-1d075667a961","year":2022},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.954303Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:16aa07d8f536f52f439d60bd648f6fd11e9fdc0a98a2cd220ad2cee6a7f2ff16","observation_id":"c9f0e7a1-36e5-4929-9e75-f61c97939936","resolution":{"observed_at":"2026-08-15T18:22:24.978774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.954185Z","title":"Lakner, P","venue":null,"work_id":"f97f8825-e7d4-4a16-8d36-f4fb4fc5e849","year":2008},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.958982Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:bcee0fa784c4a29bb8e9a00df626dee3b5c9782b8a982f02d3d338a7270edef4","observation_id":"4b256f7a-d517-45cd-a03c-6aa391427915","resolution":{"observed_at":"2026-08-15T18:22:24.959476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:23.963865Z","title":"The estimation of tree posterior probabilities using conditional clade probability distributions","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.963865Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:687c4f797ef697d3c465742a77ce301bbbc48588822775d4e70c435a723f7ce0","observation_id":"8ca3e9e8-2f3d-4a24-b2bb-fc474aa7c514","resolution":{"observed_at":"2026-08-15T18:22:23.963865Z","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":"2026-08-15T18:22:24.934540Z","title":"Larget and D","venue":null,"work_id":"033fae15-559f-45cf-ac28-3c49acaf3de6","year":1999},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.968753Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:0e81692d541b62b854949c438500e29f4e4d5dd2cc5ab0b37d7146ca90585b5e","observation_id":"011693ce-6e5d-44c0-a2b0-8cf917b7b81b","resolution":{"observed_at":"2026-08-15T18:22:24.941168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.916879Z","title":"Trajectory balance: Improved credit assignment in GF lownets","venue":null,"work_id":"f1d9fb38-b3f6-4217-b6a4-30dd42a90222","year":2022},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.973529Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:c8d9a9760b4b63a65bd9c7c7fe9c6fb82ab383b2dc6a005fc95c09e58ab83c90","observation_id":"890c280c-2cf8-4254-ad8e-c8d8c3d09422","resolution":{"observed_at":"2026-08-15T18:22:24.922139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.897519Z","title":"Minimizing the average distance to a closest leaf in a phylogenetic tree","venue":null,"work_id":"4fde6f2d-35c7-4b89-9d38-0b66d556522a","year":2013},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.978705Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:b783232b2c24a08c62b357aaaa49384a344807fd566bed07fea86c458e16011c","observation_id":"8505c93a-c83e-4dbe-9b1f-09a75e8318df","resolution":{"observed_at":"2026-08-15T18:22:24.905600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.880531Z","title":null,"venue":null,"work_id":"78f1f9df-d66f-407e-b8cf-8e8325a6aee8","year":1999},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.983061Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:5a33fc23b4d2975915f60ed2997e6a9512537553cb4f598b18725c54295103ee","observation_id":"473a85df-4e5c-4bfb-9b69-b56189643b2d","resolution":{"observed_at":"2026-08-15T18:22:24.885521Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.864296Z","title":"Geophy: Differentiable phylogenetic inference via geometric gradients of tree topologies","venue":null,"work_id":"8bad7012-14a3-46d4-8534-65170f2b4e3a","year":2023},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.987957Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:b0b8f97c1b6ebe3deff11e6a64cf2115210fc3691878c43de1000a96b9f62bb6","observation_id":"9cf85be5-3fa0-467a-b1f5-fa8f65ae05a6","resolution":{"observed_at":"2026-08-15T18:22:24.869626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.846364Z","title":"Variational inference for monte carlo objectives","venue":null,"work_id":"1fb70a14-ceed-4b9e-afc3-f085036f892c","year":2016},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.992584Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:394aebbec240bc10c860e5dd4c6fd9b3a57a336fd701206cc314fc6498fb3945","observation_id":"cbdb4bfe-b39f-4663-b951-fc5196e5f29d","resolution":{"observed_at":"2026-08-15T18:22:24.851668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.829593Z","title":"Improved variational bayesian phylogenetic inference using mixtures","venue":null,"work_id":"727df1df-3663-4374-ab05-c0d1025a0ac5","year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:23.996897Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:ba698691276a5cae19d5f161190c0f4cba1fb4bc8454c9782247f40807a16b33","observation_id":"0ebd6198-11e9-449b-aafc-fa53b71b41e4","resolution":{"observed_at":"2026-08-15T18:22:24.834293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.814134Z","title":"Blei, and Itsik Pe’er","venue":null,"work_id":"d7f5cd07-4092-4a82-9f9e-2d8c33fad696","year":2021},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.001466Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:4abad93fac2b28a00fea6f3c4d00c8f429efdd4f0a3eca4762e6bcb22ce2874a","observation_id":"932a54ed-ee16-46b4-87fc-22f7bf30b7a7","resolution":{"observed_at":"2026-08-15T18:22:24.818570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.798498Z","title":"Attending to graph transformers","venue":null,"work_id":"fe2b7a5d-777c-4ad5-ac6e-497b0ec71f4c","year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.006520Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:413216dce69e4492fe8f753ba0f5099c62f76ef74d2bf4efc9821a717acefdef","observation_id":"63a12375-4c03-4cfa-aea9-1f1b102ba3cb","resolution":{"observed_at":"2026-08-15T18:22:24.803404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.783238Z","title":null,"venue":null,"work_id":"7058da2b-2600-4777-8ea4-981f9f4e6e47","year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.011130Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:36fd984cc6cb5b838bb69493e046f6674a0c43e46edd70f01d3fec7f346b4443","observation_id":"344caa6c-b079-45a0-a4ac-ddcf24a09854","resolution":{"observed_at":"2026-08-15T18:22:24.787846Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.765622Z","title":"PyTorch : An imperative style, high-performance deep learning library","venue":null,"work_id":"6f5b506a-8340-4dcf-9399-bc63deb2fe22","year":2019},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.015842Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:0893670507f8cc6fb5f43da7b1cd0772fc86e413540883d4a579d71e8278a544","observation_id":"69a57b97-a267-4e3e-99ff-5798098b0f01","resolution":{"observed_at":"2026-08-15T18:22:24.771322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.745709Z","title":"Kosioreck, Tuan Anh Le, Chris J","venue":null,"work_id":"00db5b05-ff64-4f72-8f49-2f406936afd2","year":2019},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.020415Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:863f4b55cac6b62dc6a9dc65b5965aaf4f310025fa8b4648de1c33cd6ec19c9e","observation_id":"c1b8c0d5-a113-4c00-b782-7aa070cf2551","resolution":{"observed_at":"2026-08-15T18:22:24.750509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.726469Z","title":"MrBayes 3.2: Efficient B ayesian phylogenetic inference and model choice across a large model space","venue":null,"work_id":"6fbfa8dc-6187-4e41-ba84-c66db1a68e68","year":2012},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.025062Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:bf2419520e8a6628d4f0f146a66afb82e2d7638a417c55af63626f169be6f304","observation_id":"4549a90b-5176-43ea-a4bf-eab5876e33e8","resolution":{"observed_at":"2026-08-15T18:22:24.732230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.704617Z","title":null,"venue":null,"work_id":"d4de3bb6-f293-462f-828e-7016013b87a2","year":2001},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.028850Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:b20fc7ff2dda458a350cc3e32ec10f0a07f775cb17f3ab00e516747577be5523","observation_id":"06bee6fc-5c88-4994-84c6-4847b4f644b5","resolution":{"observed_at":"2026-08-15T18:22:24.711268Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.686459Z","title":"The neighbor-joining method: a new method for reconstructing phylogenetic trees","venue":null,"work_id":"1c3995a2-b49d-4204-9963-8328c1ea7b4a","year":1987},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.032616Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:57f30dd837334c55a9d1bfef678f2f0257198251038fdc477953af99880bc4f9","observation_id":"9ac62806-56a3-4f5c-9509-c95ec32fc82e","resolution":{"observed_at":"2026-08-15T18:22:24.691944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.669895Z","title":"Spielman","venue":null,"work_id":"325fac20-27e3-41be-afa2-55d340164771","year":2025},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.036642Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:bd512760b96cd06c8fa22d8956eae4eb3d001b77174fee9453ccd334abbdccbb","observation_id":"138721ae-233e-4d46-b768-65cfa631b924","resolution":{"observed_at":"2026-08-15T18:22:24.674743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.653930Z","title":"PAUP* : Phylogenetic analysis using parsimony","venue":null,"work_id":"4dee6ae0-7fc2-4263-8fb3-9b4cfe804964","year":2003},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.040630Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:e18880ad9553c0a1655e460aab4fb90a545cbb059f36b696eb893de5e8611ecc","observation_id":"c83d1087-8a9d-42d7-9654-f4cf0530631f","resolution":{"observed_at":"2026-08-15T18:22:24.658792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.046107Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.046107Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:997338dff078de82e0f4070dbb48dafdd9516a87703d4ccba5a22a62cebb9783","observation_id":"75bde5b1-85d5-4dfd-8f60-43f8d76bfca2","resolution":{"observed_at":"2026-08-15T18:22:24.046107Z","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":"2026-08-15T18:22:24.625881Z","title":null,"venue":null,"work_id":"4f9765d6-db90-4cb7-ab0f-632bd0cc4cea","year":2015},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.050533Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:0b2404249374e3e46bbfc7c475abee2b619fe9751d61be9de9c24551de50e056","observation_id":"3f2c1c58-a37e-4bc1-8cac-373dedd2c4fe","resolution":{"observed_at":"2026-08-15T18:22:24.630981Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.609203Z","title":"Sarma, Michael M","venue":null,"work_id":"abe61722-013e-49b6-9800-4a54e70ca2a8","year":2018},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.054863Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:b1520f75be07550bd3b50c5c2c0f2753c3ad454d4d05b1c59a4c462765b4bda9","observation_id":"0edccac6-df0d-4ba8-8d63-ba3bc455b1e1","resolution":{"observed_at":"2026-08-15T18:22:24.614615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.060411Z","title":"Quantifying MCMC exploration of phylogenetic tree space","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.060411Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:a658c2530bcfd5e627f6903a7a663e91fea6cb6da503484083fb0ad9e943c1ad","observation_id":"fe106e1e-a16b-406e-aff6-2c29c73b37e5","resolution":{"observed_at":"2026-08-15T18:22:24.060411Z","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":"2026-08-15T18:22:24.588300Z","title":"ART ree: A deep autoregressive model for phylogenetic inference","venue":null,"work_id":"dee04ddd-2b15-4c9b-bb94-22447ce1780f","year":2023},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.064861Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:1e8999e9b36a339e9d1213dd7c538b68e83d6e7146f4b75314c6726add46a6a2","observation_id":"46ca168a-3839-4009-a06d-bcc38329ba77","resolution":{"observed_at":"2026-08-15T18:22:24.596723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05058","last_updated":"2024-08-09T13:29:08Z","snapshot_observed_at":"2026-08-16T13:27:27.296878Z","submitted_at":"2024-08-09T13:29:08Z","title":"Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05058","snapshot_observed_at":"2026-08-15T18:22:24.069475Z","title":"Variational bayesian phylogenetic inference with semi-implicit branch length distributions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.069475Z"},"links":{"cited_paper":"/paper/2408.05058","citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:d940c16347dee7af102475d16723a34f265fc351329b49dcd5a6bd246f681de5","observation_id":"e12f37e2-288f-415b-bcdb-9dae72eaa1d0","resolution":{"observed_at":"2026-08-15T18:22:24.069475Z","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":"2026-08-15T18:22:24.570879Z","title":"Improving tree probability estimation with stochastic optimization and variance reduction","venue":null,"work_id":"0827a7f8-aefa-4a92-b083-1e6b50451ed1","year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.074516Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:4274ce66ba31ec6f15d96d8ef40b2548e59c69c162a37bd69b1f0ab25fbe2c4f","observation_id":"01f04aac-7585-487d-8aeb-b1e1a93f5b91","resolution":{"observed_at":"2026-08-15T18:22:24.576677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.551835Z","title":"Phylo VAE : Unsupervised learning of phylogenetic trees via variational autoencoders","venue":null,"work_id":"02d4ee13-00d9-4a76-87a6-d36877df7938","year":2025},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.080243Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:563230b0860285b22213a10361c8630b96419b4f0b2503ff59dfc158558c45b0","observation_id":"1a33a489-9b23-4dbe-82b0-6c06de3ac23a","resolution":{"observed_at":"2026-08-15T18:22:24.558131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.535228Z","title":null,"venue":null,"work_id":"2285008a-8d01-491c-8fb5-03237ce62fa5","year":2011},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.085423Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:ca2330eb8ac69064a0964f7625904acd1af60616de4ffa69532fbfd8ef6d9ab7","observation_id":"3eb26b55-2c27-41ac-9fda-9c3e384bc83e","resolution":{"observed_at":"2026-08-15T18:22:24.539765Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.520211Z","title":"On layer normalization in the transformer architecture","venue":null,"work_id":"d2670f24-5763-4fac-bc3b-450b4eb5cc95","year":2020},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.090171Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:529b6f7990a2b859d1d26101504683137344c2853c2fcf39597a296a5336cc32","observation_id":"169d44c0-d36f-46e5-a9dd-6d7eafc14516","resolution":{"observed_at":"2026-08-15T18:22:24.524738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.503249Z","title":"Yang and A","venue":null,"work_id":"c1160cdd-127c-4a72-930f-c0e5c4ebc229","year":2003},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.095471Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:340059fd1e5f77b4363a8ea3a2575c36c041d4443a667000efcbe60570e87ad4","observation_id":"e3db0a90-ff59-410c-9358-207fa5bca144","resolution":{"observed_at":"2026-08-15T18:22:24.509119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.487986Z","title":"Bayesian phylogenetic inference using DNA sequences: a Markov chain Monte Carlo method","venue":null,"work_id":"6d4d7209-f6db-45dc-8b15-b23d9c8ec5a7","year":1997},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.100073Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:a3230e0b73567124abe82ae0c47438c12f72933f9ce19ddd5281ae7e9f01f092","observation_id":"c0a2f916-da3e-4362-942e-a9fb51aa8fdc","resolution":{"observed_at":"2026-08-15T18:22:24.492657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.472959Z","title":null,"venue":null,"work_id":"6e81805d-1666-439b-ae17-bc45a9d03c3f","year":2004},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.104501Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:fd0d6580e7db64b982e648cb963120818845bb635adb7f4d60abbdbdc7a326a9","observation_id":"adbc899d-ae30-4663-9c3a-15ef954fbb37","resolution":{"observed_at":"2026-08-15T18:22:24.477454Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.456937Z","title":"Improved variational Bayesian phylogenetic inference with normalizing flows","venue":null,"work_id":"418bf00a-a46b-4c22-9157-008069d6d141","year":2020},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.109625Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:3e3bb444cc276c3fdc84dd8ccfff87cc32facbda77fbece7b5b2c3ebc8c5170a","observation_id":"fa1d28c8-5188-4394-9e5d-8bd20a11d831","resolution":{"observed_at":"2026-08-15T18:22:24.462000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.439772Z","title":"Learnable topological features for phylogenetic inference via graph neural networks","venue":null,"work_id":"768afcde-e57c-428a-a8bb-6546a0c6e1a1","year":2023},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.113949Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:6594981c7f003c9379af009fa294f9f276a0507717ea4c977052f1629ec68bdc","observation_id":"7346592d-e939-4b7d-a720-51784e22b4b6","resolution":{"observed_at":"2026-08-15T18:22:24.444562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.423028Z","title":"Generalizing tree probability estimation via B ayesian networks","venue":null,"work_id":"6542f51d-c37b-473e-a11d-9d60320d905d","year":2018},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.118634Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:4c2c5ee26e3906b5f3c84b52fad24e5840bb5335ce47e875f07eb40d2ea818c1","observation_id":"7089e9d8-7a44-4580-bed0-6d448a8ca727","resolution":{"observed_at":"2026-08-15T18:22:24.428743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.404139Z","title":"Variational Bayesian phylogenetic inference","venue":null,"work_id":"ffdf1589-ef8e-4ec3-8bdb-de3b29aaa1f5","year":2019},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.123477Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:b8ce5d21316fdbee17bdc151ef49685e687533ea4e8155d743ccf29e91c765b2","observation_id":"d78ce667-26b0-4a3a-a29c-d60beaab3606","resolution":{"observed_at":"2026-08-15T18:22:24.410878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.388755Z","title":"A variational approach to B ayesian phylogenetic inference","venue":null,"work_id":"6e9ec43a-10a5-4e86-a240-78d3ab11b44f","year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.128514Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:829d28e670dd367e9909a842ca052f8297842ef81e828afded6c725afbfe0ed8","observation_id":"9de582dc-42b4-428c-8709-704a6659e489","resolution":{"observed_at":"2026-08-15T18:22:24.393549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.372599Z","title":"Zhang and M","venue":null,"work_id":"8c6f37d5-851a-476f-8af3-2486f20abb78","year":2001},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.133252Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:3f515d09a0c57d8c802b70ccfe9240c8179f7b04b29532d3d5a9bc96f4cc1f37","observation_id":"e3f97487-828e-414d-8bf4-458e1b6cf07f","resolution":{"observed_at":"2026-08-15T18:22:24.377743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.356788Z","title":"Influenza research database: An integrated bioinformatics resource for influenza virus research","venue":null,"work_id":"bc537a28-9a6b-4fdb-ab23-efecc4cbae46","year":2017},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.138591Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:70b56b4b0880ae9054a4af534f8b227504aa7bb0be03607804deef850c069be1","observation_id":"aad426a0-419f-48eb-b3a1-15a3ca747f0c","resolution":{"observed_at":"2026-08-15T18:22:24.361828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.340089Z","title":"Phylo GFN : Phylogenetic inference with generative flow networks","venue":null,"work_id":"d63c2fdb-2eb8-4482-adfa-ac7d03a1a5ad","year":2024},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.143179Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:a7912ff65799386c98a75c1b8e3b551d4e51fa13985caea011127dfc9a4d42cf","observation_id":"81bc415d-c549-4a42-ba16-26b045f53cd8","resolution":{"observed_at":"2026-08-15T18:22:24.345619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-15T18:22:24.147824Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-15T18:22:24.147824Z"},"links":{"citing_paper":"/paper/2507.18380"},"observation_digest":"sha256:683027785703f79c9a448f4cce5d466bb7b926f244409b7075429ef25082bc2c","observation_id":"1e31a8d6-35d6-4ee8-8720-94fc7fa9fad8","resolution":{"observed_at":"2026-08-15T18:22:24.147824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.18380","last_updated":"2025-07-24T12:56:16Z","latest_version":1,"primary_category":"q-bio.PE","snapshot_observed_at":"2026-08-19T00:35:07.409038Z","submitted_at":"2025-07-24T12:56:16Z","title":"ARTreeFormer: A Faster Attention-based Autoregressive Model for Phylogenetic Inference"},"reference_resolution":{"displayed":73,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":4,"verified_fuzzy":46},"total_outbound_references":73},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2507.18380."}