{"as_of":"2026-08-20T01:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6fd59eccdd0059f9f4e2a6917ba8ea1d64ed3d4e8ec0e7877559e55a0368a82b","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T12:22:32.307067Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2607.22573/citation-record","integrity":"/paper/2607.22573/integrity","json":"/paper/2607.22573/citation-record.json","paper":"/paper/2607.22573"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:25.725861Z","title":"Crystal diffusion variational autoencoder for periodic material generation, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:25.725861Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:7ea741daaca5333efcab99a8ca2f463526c723cda42d6cb4f7c465b2a6bc7f49","observation_id":"014402f0-a5a5-4533-a328-f367f2c8ea5f","resolution":{"observed_at":"2026-08-02T12:22:25.725861Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:25.779047Z","title":"Crystal structure prediction by joint equivariant diffusion, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:25.779047Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:a24698a7d213cd2e677ca7360c30bffec814e101e68e5a2cbfa0576f791d6060","observation_id":"824e90e5-c3f9-415b-8119-054fe5d9e4bc","resolution":{"observed_at":"2026-08-02T12:22:25.779047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:25.825784Z","title":"Schoenholz, Muratahan Aykol, Gowoon Cheon, and Ekin D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:25.825784Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:e91bf5005ea8d2b00cf34cf945942dd6ca6f7024b35bcc7723dc3504343df9f9","observation_id":"9b330cfe-b2fe-4bb5-8ed8-ed1bd443daba","resolution":{"observed_at":"2026-08-02T12:22:25.825784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:25.875992Z","title":"A generative model for inorganic materials design.Nature, 639:624–632, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:25.875992Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:cf846841d99de93012bb808499a3075850ac663baf352b271518a6f2c6bef48b","observation_id":"96fdf823-31e9-49e5-9ddf-453d8fe4ccb6","resolution":{"observed_at":"2026-08-02T12:22:25.875992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:25.919229Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:25.919229Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:23139f2f1962c758746e37696f5f527638dd5b115bd8490bedbe367def2d966c","observation_id":"08499dfe-e130-4ff7-ae41-b40447807541","resolution":{"observed_at":"2026-08-02T12:22:25.919229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:26.069675Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:26.069675Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:ebe09541ca549463c739f2c2bac9baff64a9e6288d1dbe1e8ba5daa53ff1866a","observation_id":"71939a4c-263e-445e-a2de-3055b815ba45","resolution":{"observed_at":"2026-08-02T12:22:26.069675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:26.244132Z","title":"Saal, Scott Kirklin, Muratahan Aykol, Bryce Meredig, and C","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:26.244132Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:d9bab49ffc08894d12d549853f5fee4f504bbfae30481829d2c0c52bea3993bb","observation_id":"00a970f5-83ef-4c25-8a51-b27603e39e4a","resolution":{"observed_at":"2026-08-02T12:22:26.244132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:26.367695Z","title":"Saal, Bryce Meredig, Alex Thompson, Jeff W","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:26.367695Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:f0097183956ab2effa673bf56c896c4c6db20cc858d985c6deb5f235a02ce478","observation_id":"cabb3362-1059-4087-a893-a15220399a9d","resolution":{"observed_at":"2026-08-02T12:22:26.367695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:26.534006Z","title":"Garrity, Andrew C","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:26.534006Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:2031556c91616c8532eecddad54995a6183b5b2e13d32db852f95be9a339d6a7","observation_id":"d4484080-0122-4ff2-8a38-da1e5bc0770d","resolution":{"observed_at":"2026-08-02T12:22:26.534006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:26.702552Z","title":"Nomad: The fair concept for big data-driven materials science.MRS Bulletin, 43(9):676–682, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:26.702552Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:f5e88e89f1864a7a277e17a7eb0aff505bbe38cd6a0a4e2f607473c2cd2971a7","observation_id":"2480d8ee-8b95-4222-9af5-70a643de1623","resolution":{"observed_at":"2026-08-02T12:22:26.702552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:26.871238Z","title":"Yakutovich, Valeria Granata, Fer- nando Gargiulo, Marco Borelli, Martin Uhrin, Sebastiaan P","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:26.871238Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:e920af5318cee9ce80be50e19e27cc830ff151ebbde82c159f33e3155f4f0b49","observation_id":"c5e6e0d1-b398-4677-8005-54dfaf524a4c","resolution":{"observed_at":"2026-08-02T12:22:26.871238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:27.043702Z","title":"Chevrier, Kristin A","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:27.043702Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:f23f60b0e315262279eff282ce7a7fae4d9186414bff1e7837ec50313c12c5d8","observation_id":"0eaf4e48-79b3-4007-9ced-f1c007089078","resolution":{"observed_at":"2026-08-02T12:22:27.043702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:27.209619Z","title":"Groves, Bjork Hammer, Cory Hargus, Eric D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:27.209619Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:e259b6e082e596e734490ca4459c088c66e99d9745742f2e5a393eb1fba65a93","observation_id":"d446307d-6b3c-4e89-83cc-49ea474c2de4","resolution":{"observed_at":"2026-08-02T12:22:27.209619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:27.336649Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:27.336649Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:7a892cf36d6a7f8088a5ab919e0dd493393a1a6abbdb1b2beaff1eaa17d2723f","observation_id":"182c6ae1-7f51-4ff9-a2f9-0f843cd26bcb","resolution":{"observed_at":"2026-08-02T12:22:27.336649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:27.512174Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:27.512174Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:61efbe310ca92433b70836aa4979df1e50fbafef54f0ad0c8f232cf74abed4c9","observation_id":"b648943d-1033-480a-bcfc-9da9fbf08a0b","resolution":{"observed_at":"2026-08-02T12:22:27.512174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:27.662602Z","title":"Aiida: automated interactive infrastructure and database for computational science.Computational Materials Science, 111:218–230, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:27.662602Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:f256198876bb23dc7f9da96ac33fc5d2b5f74065100cf744f476370fecd0ddc3","observation_id":"0479330b-1b20-4206-96c4-f6af248513f3","resolution":{"observed_at":"2026-08-02T12:22:27.662602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:27.807589Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:27.807589Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:604f0bf3c6008310957691be9d4297a89196e1485e2a74baf0928b54f66a264e","observation_id":"190e2114-572b-479e-99b6-69577fcf5d4c","resolution":{"observed_at":"2026-08-02T12:22:27.807589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:27.940399Z","title":"Plata, Pinku Nath, Demet Usanmaz, Jesus Carrete, Cormac Toher, Maarten de Jong, Mark Asta, Marco Fornari, Marco Buongiorno Nardelli, and Stefano Curtarolo","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:27.940399Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:d103dd25c208c9e17206dd6b3b82b5e9dfae53ff8527935a9183b827b4128e3b","observation_id":"01ba74b3-8277-4b7c-aa17-0de1e6fdf144","resolution":{"observed_at":"2026-08-02T12:22:27.940399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:28.056308Z","title":"Finding un- precedentedly low-thermal-conductivity half-heusler semiconductors via high-throughput materi- als modeling.Physical Review X, 4:011019, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:28.056308Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:bccb3420233c8ebd712a856f80a3387e07999429512ff259c7ff33bfc6844e36","observation_id":"2fc90b50-f22b-4cb7-af26-2683b79d6e4a","resolution":{"observed_at":"2026-08-02T12:22:28.056308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:28.241092Z","title":"Castelli, Andrea Cepellotti, Giovanni Pizzi, and Nicola Marzari","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:28.241092Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:78c9992fe4cadc99ebb4eb5c64c34acbcefca8dbb0a5f3831e95a39902546ffc","observation_id":"626669d0-6287-4088-81d5-f5ad0a3433ef","resolution":{"observed_at":"2026-08-02T12:22:28.241092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:28.431775Z","title":"Katcho, and Natalio Mingo","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:28.431775Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:e937667c8923243a8edce6095e910e96761a52ea91202664f158b224eb5ce157","observation_id":"ec470594-b1c0-45d4-bff6-1ae4ee286df2","resolution":{"observed_at":"2026-08-02T12:22:28.431775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:28.506759Z","title":"Anharmonic force constants extracted from first-principles molecular dynamics: applications to heat transfer simulations.Journal of the Physical Society of Japan, 83:074702, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:28.506759Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:d2452f33779a9a71408b795f1875440e9e6bef4cbc6e32d62a509ffde28308fe","observation_id":"e6b7bd1a-d441-4f70-b14d-b546b44e9007","resolution":{"observed_at":"2026-08-02T12:22:28.506759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:28.601738Z","title":"Abrikosov, and Sergei I","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:28.601738Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:e85bb0796261a0277ca6d0f78aa5f60637bf7263a9d7643089edeb9cd7c8b43e","observation_id":"9b03d12f-5d9f-4e5d-abab-e62b6187d0ee","resolution":{"observed_at":"2026-08-02T12:22:28.601738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:28.682080Z","title":"Katsnelson, and Sven P","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:28.682080Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:2e9dff2adc9a15e2244db3ee80b9a6dea6f2bbdc930fce9cec99ea2f83af727d","observation_id":"e2f1260a-9481-4c86-86d6-a4b5c47f1edd","resolution":{"observed_at":"2026-08-02T12:22:28.682080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:28.761235Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:28.761235Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:0abbc91bedfb2f74006693593d9d3585b8c10a15ce37724d035924fec3c7eac2","observation_id":"7ec5c372-fd7a-4f1b-afe3-8f367bad833b","resolution":{"observed_at":"2026-08-02T12:22:28.761235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:28.844099Z","title":"An in- vertible, invariant crystal representation for inverse design of solid-state materials using generative deep learning.Nature Communications, 14:7027, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:28.844099Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:7ee5cdef89f16ffc84de91ba71a5397e924fb2c1eb51952d3382827b389b110d","observation_id":"99bec776-cffd-4b0b-b8ef-173d3c9434a5","resolution":{"observed_at":"2026-08-02T12:22:28.844099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:28.989951Z","title":"Exploration of crystal chemical space using text-guided generative artificial intelligence.Nature Communications, 16:4379, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:28.989951Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:cef14488d781ea845c5f978d80b08c6836fede37aa42bc39cfccb05715ee1dc3","observation_id":"0cbd6829-e5bb-40b9-a09c-675f529acdbc","resolution":{"observed_at":"2026-08-02T12:22:28.989951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:29.094276Z","title":"First principles phonon calculations in materials science.Scripta Materialia, 108:1–5, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:29.094276Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:8da4438922a1b37a85ed6142151e7188480c6cc902e47c891eb8c3d0bfeb139e","observation_id":"18b17afc-6135-4342-a908-2b8f6e9dec59","resolution":{"observed_at":"2026-08-02T12:22:29.094276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:29.201589Z","title":"First-principles phonon calculations with phonopy and phono3py.Journal of the Physical Society of Japan, 92:012001, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:29.201589Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:62a2bece35f7213a455c80a42c267a434fc1fedfc7422cb8f1547161eeb4d106","observation_id":"6c3b4566-30c0-4dba-8634-83955ae7d43c","resolution":{"observed_at":"2026-08-02T12:22:29.201589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:29.302402Z","title":"Mattersim: A deep learning atomistic model across elements, temperatures and pressures, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:29.302402Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:1e559b2dec2278232d6324111a7bf73d808355f4daebf8b08a699efc5d3ffa42","observation_id":"5783a6f4-233d-4dfe-a282-e65406c50a88","resolution":{"observed_at":"2026-08-02T12:22:29.302402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:29.369234Z","title":"Phononbench: A large-scale phonon- based benchmark for dynamical stability in crystal generation, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:29.369234Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:484240de8a11a06ea09e2856e28b1c0c7dfca1cfcbe04696b3022a5b7e3eb58b","observation_id":"0160b30c-75da-4e3a-90e0-e32bca796b4b","resolution":{"observed_at":"2026-08-02T12:22:29.369234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:29.484081Z","title":"Band structure diagram paths based on crystallography.Computational Materials Science, 128:140–184, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:29.484081Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:df40a1c34199f56e418a62c6cfc779bee3389a9f539b00d9eaa255cc0f0f6581","observation_id":"0a946c3a-2d71-48ed-8610-77cb208b4016","resolution":{"observed_at":"2026-08-02T12:22:29.484081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:29.623364Z","title":"Spglib: a software library for crystal symmetry search.Science and Technology of Advanced Materials: Methods, 4(1):2384822, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:29.623364Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:9097bb331904a3a10cb9d762a975361cf24b859478d7624de3bd61887c5be018","observation_id":"9a7af0c1-1be2-4248-bd4d-b776ad46e854","resolution":{"observed_at":"2026-08-02T12:22:29.623364Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:29.766183Z","title":"Grossman","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:29.766183Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:f61ff767792b1ed62377d1916aaca972a12576fca37c9dab81bcd7f32d9dd76d","observation_id":"01541117-2166-4843-afb5-4fc09c5dc88b","resolution":{"observed_at":"2026-08-02T12:22:29.766183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:29.926486Z","title":"Graph networks as a universal machine learning framework for molecules and crystals.Chemistry of Materials, 31(9):3564–3572, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:29.926486Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:fccc670e88d1a180f9830df35e5defaab73482324ddc61607c237b09ea52b113","observation_id":"00b7409e-eb54-41fb-84b3-701d8b4998bf","resolution":{"observed_at":"2026-08-02T12:22:29.926486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:30.094788Z","title":"Atomistic line graph neural network for improved materials property predictions.npj Computational Materials, 7:185, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:30.094788Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:753d3f9f91dce6b3eac522493d21f623c6f727e5df6aed13eb67dbdd5d8e6ea4","observation_id":"5e74d4dd-41fb-47d0-8133-9a6fe2aeed27","resolution":{"observed_at":"2026-08-02T12:22:30.094788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:30.271037Z","title":"Benchmarking mate- rials property prediction methods: the matbench test set and automatminer reference algorithm","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:30.271037Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:202e1b817c4d4dabb7cc274458833eeb3b5b5f26bd378e42d77ecf7b11d5f2a5","observation_id":"d78ccd5c-01dc-4f73-a791-9f56f22b4177","resolution":{"observed_at":"2026-08-02T12:22:30.271037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:30.480085Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:30.480085Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:324b4925ef633f43b551d1c757ff4562d4dcd232c4846db1e51ec3bdfc392e6f","observation_id":"945473e8-4507-4280-8a45-dbb4dc50551e","resolution":{"observed_at":"2026-08-02T12:22:30.480085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:30.646077Z","title":"Lawrence Zitnick, and Zachary Ulissi","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:30.646077Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:755cf45a847183f23bab885504486a99cdf91210aa41dfa90f90b72ea16e1a7e","observation_id":"8ea1502e-4e37-47fb-be61-d61ef1de7368","resolution":{"observed_at":"2026-08-02T12:22:30.646077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:30.805483Z","title":"A general-purpose machine learning framework for predicting properties of inorganic materials.npj Computational Materials, 2:16028, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:30.805483Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:5174c916de81e7c615f229dd31d45e373432e3dc61419c6b2023b0d28d303f4d","observation_id":"04b4488f-b46f-4af3-8d76-0dfd00a6541a","resolution":{"observed_at":"2026-08-02T12:22:30.805483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.030746Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.030746Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:945391a92ff935a3ce7174ab4a533070d3aa336aed8f7a1a3a6c6d818251abff","observation_id":"65a15d99-5380-42d0-bec1-be6ed5bc835c","resolution":{"observed_at":"2026-08-02T12:22:31.030746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.191915Z","title":"Schutt, Huziel E","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.191915Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:8e290151990056ec8de48a206c81e78316fca7922686cb94ec324dea53c49a47","observation_id":"27853e02-dfd3-4e01-beb5-0cdd8d35f40f","resolution":{"observed_at":"2026-08-02T12:22:31.191915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.373536Z","title":"A universal graph deep learning interatomic potential for the periodic table.Nature Computational Science, 2:718–728, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.373536Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:79582facb9e6cbb083ea17c1afb1a54c3877d31005fd1fddec1dd0653f05d0e4","observation_id":"9ee551ba-e456-41e9-a0fd-10ce8c22ec2c","resolution":{"observed_at":"2026-08-02T12:22:31.373536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.450928Z","title":"Bartel, and Gerbrand Ceder","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.450928Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:3a0a4beab7287f0f577f266ef08dc6e2d8033c8429bcefae2fb2793c3a93dcd2","observation_id":"db9b2a9a-f2ff-440f-abf4-104601660bc7","resolution":{"observed_at":"2026-08-02T12:22:31.450928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.526297Z","title":"Mailoa, Mordechai Kornbluth, Nicola Molinari, Tess E","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.526297Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:7ec7c444e558a3d92af5f1724d86796e0aec268586081019f29b34adb3435e0f","observation_id":"46634981-3fd4-4083-be76-47384b6c5555","resolution":{"observed_at":"2026-08-02T12:22:31.526297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.608974Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.608974Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:ae9b3d671756c8da00290e3b76c448ed74db1d839fe51ec374c84e6405d38a6f","observation_id":"2626c034-fb86-4ee7-9dd2-50f3a3c3e35d","resolution":{"observed_at":"2026-08-02T12:22:31.608974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.725319Z","title":"Elena, David P","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.725319Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:c43e2ed548fd6f1e8f8269675c4dba40ae5e9d188d9a3e310b9c5f4b8baff0eb","observation_id":"9a7051ef-8591-411b-940c-f5a6fa3fe709","resolution":{"observed_at":"2026-08-02T12:22:31.725319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.798012Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.798012Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:8aa06c8caa9004856e80a125e14f1ba1ad163efd2ac430be005d4f90bee1747a","observation_id":"859e2535-1588-4f41-9267-ef37e92ed2a9","resolution":{"observed_at":"2026-08-02T12:22:31.798012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.987208Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.987208Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:72792f7852fe5df043efc5485f6aa1da051e0855f110c14d3cd854b221ad9cc1","observation_id":"ecfba1a7-a59b-459d-8aa3-3ce6f7eb2cf8","resolution":{"observed_at":"2026-08-02T12:22:31.987208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:32.082561Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:32.082561Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:1835a6683a0a9420fc4bbfa5b94ee7d0d9036546cde1005addbe3d718de8b92d","observation_id":"43c7a368-19ca-4134-baf1-5a0f2d4df73f","resolution":{"observed_at":"2026-08-02T12:22:32.082561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:32.129457Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:32.129457Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:4092200e9c44e08de6e50441f85c5c04ba2f62904e15ac42b31a44b0c069318d","observation_id":"18bf2a81-3d70-4ea4-bf9b-5a21323c848d","resolution":{"observed_at":"2026-08-02T12:22:32.129457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:32.254667Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:32.254667Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:4f28c4c4bcf5798cdac09df13c614f207f130fdd8fc23cf9bee1bde0ea71fc9d","observation_id":"e4571574-2665-47f1-8243-c9b47667356d","resolution":{"observed_at":"2026-08-02T12:22:32.254667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:32.307067Z","title":"For label-threshold studies, users should keep the original completed label unchanged and store any threshold-dependent relabeling in a new derived column","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:32.307067Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:11e19b82353da3d41a584d8f8a38ce09a17bb0f7ebaec55673f29607be86be7d","observation_id":"6dfa009c-0f42-4cbb-abb4-d62d47c69f10","resolution":{"observed_at":"2026-08-02T12:22:32.307067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:22:31.906057Z","title":"Chemical complexity is measured by the number of distinct elements in the parsed formula","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability","version":1},"reference_index":160,"source":"pdf_text","source_observed_at":"2026-08-02T12:22:31.906057Z"},"links":{"citing_paper":"/paper/2607.22573"},"observation_digest":"sha256:e8fde303725c127e4a388f263a8f6eae194e4929af3fbe5d5beb080926624991","observation_id":"d75b69d4-ff08-43da-a2a5-89ce22a5ac28","resolution":{"observed_at":"2026-08-02T12:22:31.906057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.22573","last_updated":"2026-06-04T07:44:28Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-06T02:48:19.169544Z","submitted_at":"2026-06-04T07:44:28Z","title":"PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":54,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":54},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.22573."}