{"as_of":"2026-08-07T05:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7e1c74db9c755ca374230ab601609d860d921aa06f96fb8e993d40778c933879","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:39:05.080300Z","state":"measured"},{"denominator":67,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":67,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2508.19683/citation-record","integrity":"/paper/2508.19683/integrity","json":"/paper/2508.19683/citation-record.json","paper":"/paper/2508.19683"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:39:05.789246Z","title":"So far, in the literature, there are not many discussions for analyzing the bulk properties of the trained FNNs","venue":null,"work_id":"2870d109-2b96-44cd-a52d-d7f015737548","year":null},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.871784Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:b9687c9a34b07398a11399c52de9f20eed87cc2c75bc93a3cfb04b288807cb44","observation_id":"a38806b8-83ae-45e8-9309-b0b926519aae","resolution":{"observed_at":"2026-08-05T15:39:05.793179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T15:39:05.779027Z","title":"The bulk properties could characterize the learning quality to distinguish the successful and unsuccessful applications of the FNNs","venue":null,"work_id":"f84778fe-28d1-4eaa-9535-1088ef7b0959","year":null},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.875246Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:6cc4baf3d24b6628ea7ef4a23e738a066b997914e0ce05559d6be88357b7cfd1","observation_id":"98cf5269-8afd-467e-b14e-b3e31365fb4b","resolution":{"observed_at":"2026-08-05T15:39:05.782717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.04966","last_updated":"2017-12-17T00:07:47Z","snapshot_observed_at":"2026-07-06T05:51:20.603629Z","submitted_at":"2017-07-17T00:23:41Z","title":"From hadrons to quarks in neutron stars: a review","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.04966","snapshot_observed_at":"2026-08-05T15:39:04.879212Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.879212Z"},"links":{"cited_paper":"/paper/1707.04966","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:007933299d21e613b2f6e1864c5ccb4603368a73a44faab23d68b570a0329717","observation_id":"d50a7b38-8d6f-4e05-87b5-59bd47ed26bc","resolution":{"observed_at":"2026-08-05T15:39:04.879212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09425","last_updated":"2018-07-04T19:26:49Z","snapshot_observed_at":"2026-08-01T17:16:21.331977Z","submitted_at":"2017-10-25T19:00:35Z","title":"Decoding the phase structure of QCD via particle production at high energy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.09425","snapshot_observed_at":"2026-08-05T15:39:04.886275Z","title":"Andronic, P","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.886275Z"},"links":{"cited_paper":"/paper/1710.09425","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:94e73966438f760d6713f369e089a085289c3a9c1a082a74e5d78c3f392feab3","observation_id":"df3e3a1a-1910-49a9-94a9-cff5d5869b4b","resolution":{"observed_at":"2026-08-05T15:39:04.886275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.12938","last_updated":"2019-01-21T15:55:20Z","snapshot_observed_at":"2026-07-06T07:11:35.844237Z","submitted_at":"2018-10-30T18:04:53Z","title":"QCD at finite temperature and chemical potential from Dyson-Schwinger equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.12938","snapshot_observed_at":"2026-08-05T15:39:04.889865Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.889865Z"},"links":{"cited_paper":"/paper/1810.12938","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:4c4a6063849b841116687c3f0aeaf049ad7ce58d969ed957c2cd4d0b8725b6c1","observation_id":"42ddcc08-bdab-44a4-9bb1-37fbbcf8b6f3","resolution":{"observed_at":"2026-08-05T15:39:04.889865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.04382","last_updated":"2023-07-11T23:48:14Z","snapshot_observed_at":"2026-08-01T19:44:54.745427Z","submitted_at":"2023-01-11T10:03:32Z","title":"Phase Transitions in Particle Physics -- Results and Perspectives from Lattice Quantum Chromo-Dynamics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.04382","snapshot_observed_at":"2026-08-05T15:39:04.893034Z","title":"Aarts et al., Prog","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.893034Z"},"links":{"cited_paper":"/paper/2301.04382","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:eeb4a165492fe52c462c87d7172d7b4712c75f5531ab3b2b11773b0fa441b062","observation_id":"99b441c9-f9bc-4066-be2f-c723bb8af2f5","resolution":{"observed_at":"2026-08-05T15:39:04.893034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01907","last_updated":"2025-04-30T16:47:42Z","snapshot_observed_at":"2026-07-06T20:16:18.023949Z","submitted_at":"2025-01-03T17:22:46Z","title":"QCD Phase Diagram and Astrophysical Implications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01907","snapshot_observed_at":"2026-08-05T15:39:04.896346Z","title":"Fukushima, J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.896346Z"},"links":{"cited_paper":"/paper/2501.01907","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:0a843081e91565de191f8ffa4acf9c74110be52543cb2fba340050848db2c2a3","observation_id":"e6b51937-bd7f-4d82-bc4c-5172429d087d","resolution":{"observed_at":"2026-08-05T15:39:04.896346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09043","last_updated":"2023-07-20T09:12:27Z","snapshot_observed_at":"2026-08-03T16:18:01.549670Z","submitted_at":"2022-12-18T09:30:14Z","title":"Equation of state and speed of sound of (2+1)-flavor QCD in strangeness-neutral matter at non-vanishing net baryon-number density","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09043","snapshot_observed_at":"2026-08-05T15:39:04.899872Z","title":"Bollweg, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.899872Z"},"links":{"cited_paper":"/paper/2212.09043","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:db55c472574927dfe5935eeaa7553b378472d88aaffc9453b5e28964c8bb3503","observation_id":"901d9b7f-f20d-44c8-a128-494b7103dd0b","resolution":{"observed_at":"2026-08-05T15:39:04.899872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07528","last_updated":"2023-12-12T18:56:12Z","snapshot_observed_at":"2026-08-04T01:29:09.994056Z","submitted_at":"2023-12-12T18:56:12Z","title":"Continuum extrapolated high order baryon fluctuations","version":1},"cited_work":{"arxiv_id":"2312.07528","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.07528","snapshot_observed_at":"2026-08-05T15:39:05.638431Z","title":"Continuum extrapolated high order baryon fluctuations","venue":"hep-lat","work_id":"97a15a16-a5c6-4c9c-9a06-ca4945071eda","year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.904100Z"},"links":{"cited_paper":"/paper/2312.07528","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:58f1f8fe0ebf4b112b38d4ac0e03bc83178aa2af988d4c19e668050a1ec0e521","observation_id":"379babf5-2539-4c0d-b827-5b7e5077ce1b","resolution":{"observed_at":"2026-08-05T15:39:05.642811Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"hep-ph/0005225","last_updated":"2001-01-10T21:35:06Z","snapshot_observed_at":"2026-07-07T03:48:37.017164Z","submitted_at":"2000-05-23T21:24:14Z","title":"QCD at finite isospin density","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"hep-ph/0005225","snapshot_observed_at":"2026-08-05T15:39:04.907347Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.907347Z"},"links":{"cited_paper":"/paper/hep-ph/0005225","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:87f02665a53151517f2e9f9c937585437989fd10f2e168018006f8e2d17ae8ad","observation_id":"8ebda6c9-f6e1-4776-aa26-72c7b425df7e","resolution":{"observed_at":"2026-08-05T15:39:04.907347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.14016","last_updated":"2023-07-31T06:39:59Z","snapshot_observed_at":"2026-07-06T14:35:37.368351Z","submitted_at":"2022-12-28T18:43:16Z","title":"Equation of state and speed of sound of isospin-asymmetric QCD on the lattice","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.14016","snapshot_observed_at":"2026-08-05T15:39:04.910359Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.910359Z"},"links":{"cited_paper":"/paper/2212.14016","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:3d7a1570498fc38c4288edca498f0cbf7cbe57236a8ad98a2736bbc8d8283290","observation_id":"dda14d42-8279-4add-b3fc-2110dfe25755","resolution":{"observed_at":"2026-08-05T15:39:04.910359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15014","last_updated":"2023-07-27T17:17:47Z","snapshot_observed_at":"2026-08-06T08:26:16.948916Z","submitted_at":"2023-07-27T17:17:47Z","title":"Lattice quantum chromodynamics at large isospin density: 6144 pions in a box","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15014","snapshot_observed_at":"2026-08-05T15:39:04.913563Z","title":"Abbott, W","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.913563Z"},"links":{"cited_paper":"/paper/2307.15014","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:8ac0935af1c6549863cbba6def51065e9661887cc1619c2e175fab90b5feb0fc","observation_id":"7d1ebf23-19bd-4428-81b9-13f7d96be597","resolution":{"observed_at":"2026-08-05T15:39:04.913563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.04090","last_updated":"2016-12-16T12:02:53Z","snapshot_observed_at":"2026-08-02T14:55:45.654370Z","submitted_at":"2016-05-13T09:10:02Z","title":"Study of the phase diagram of dense two-color QCD within lattice simulation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.04090","snapshot_observed_at":"2026-08-05T15:39:04.916727Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.916727Z"},"links":{"cited_paper":"/paper/1605.04090","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:f658f88fc10a70c0fc26d8e6a4c00cc0e853205963000a78d808ea0d9bf32134","observation_id":"ebd796ff-1d2c-43b4-9e8b-5052a62dfc90","resolution":{"observed_at":"2026-08-05T15:39:04.916727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.01253","last_updated":"2022-10-13T07:42:06Z","snapshot_observed_at":"2026-07-06T13:27:25.991386Z","submitted_at":"2022-07-04T08:25:39Z","title":"Velocity of Sound beyond the High-Density Relativistic Limit from Lattice Simulation of Dense Two-Color QCD","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.01253","snapshot_observed_at":"2026-08-05T15:39:04.919945Z","title":"Iida and E","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.919945Z"},"links":{"cited_paper":"/paper/2207.01253","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:acea73f06681fa1968c0098edea4ebc4e2b364e57a04172b0d291e5a0bc46319","observation_id":"7bd56816-1303-435e-a7ce-35942d1eb9a7","resolution":{"observed_at":"2026-08-05T15:39:04.919945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1406.1367","last_updated":"2014-10-07T17:30:41Z","snapshot_observed_at":"2026-08-06T22:25:16.003511Z","submitted_at":"2014-06-05T12:50:35Z","title":"Inhomogeneous chiral condensates","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.1367","snapshot_observed_at":"2026-08-05T15:39:04.923154Z","title":"Buballa and S","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.923154Z"},"links":{"cited_paper":"/paper/1406.1367","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:244f53b47870bdf7a56f11ab6fc7dadc8b1294400cfaa5b2b26273a01b533328","observation_id":"43a5e801-5c92-428c-9d21-d59e2869cca7","resolution":{"observed_at":"2026-08-05T15:39:04.923154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1504.03185","last_updated":"2015-04-13T13:54:13Z","snapshot_observed_at":"2026-08-06T19:09:36.291003Z","submitted_at":"2015-04-13T13:54:13Z","title":"Landau-Peierls instability in a Fulde-Ferrell type inhomogeneous chiral condensed phase","version":1},"cited_work":{"arxiv_id":"1504.03185","doi":null,"metadata_source":"pith","pith_arxiv_id":"1504.03185","snapshot_observed_at":"2026-08-05T15:39:05.565779Z","title":"Landau-Peierls instability in a Fulde-Ferrell type inhomogeneous chiral condensed phase","venue":"hep-ph","work_id":"f307676f-756b-4f10-9c44-7a80383d93bc","year":2015},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.926156Z"},"links":{"cited_paper":"/paper/1504.03185","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:60c02b7182b309dabc0d9cd947bc96a17b2a30e7c48f8c9ea8ddbbe769f00016","observation_id":"e2cde991-3c21-418e-9849-528800e45f5e","resolution":{"observed_at":"2026-08-05T15:39:05.570552Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1505.00848","last_updated":"2015-07-29T04:37:01Z","snapshot_observed_at":"2026-07-06T04:16:54.272660Z","submitted_at":"2015-05-04T23:58:37Z","title":"Phonons, pions and quasi-long-range order in spatially modulated chiral condensates","version":2},"cited_work":{"arxiv_id":"1505.00848","doi":null,"metadata_source":"pith","pith_arxiv_id":"1505.00848","snapshot_observed_at":"2026-08-05T15:39:05.552058Z","title":"Phonons, pions and quasi-long-range order in spatially modulated chiral condensates","venue":"hep-ph","work_id":"f452723c-5dfc-4a17-937e-0a92e96f5d1e","year":2015},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.929832Z"},"links":{"cited_paper":"/paper/1505.00848","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:8a8cd5882b97be7ec23ba3693fbe04fd77d51ad11b4a2e070684e39f0559b695","observation_id":"c2d09758-8ad5-48ab-8ae4-12c712badd21","resolution":{"observed_at":"2026-08-05T15:39:05.555960Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.06890","last_updated":"2022-03-28T20:19:10Z","snapshot_observed_at":"2026-07-06T10:49:06.028323Z","submitted_at":"2021-03-11T19:00:01Z","title":"Signatures of Moat Regimes in Heavy-Ion Collisions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.06890","snapshot_observed_at":"2026-08-05T15:39:04.932793Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.932793Z"},"links":{"cited_paper":"/paper/2103.06890","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:119bb3031009cd1b6ed903f1a2e70be06e5f48b79d9e4fc49ec526356cc30240","observation_id":"5e9347b7-a6b6-43fc-b0f4-b2aed21ae9ca","resolution":{"observed_at":"2026-08-05T15:39:04.932793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"0706.2191","last_updated":"2007-08-10T21:27:37Z","snapshot_observed_at":"2026-07-06T01:30:48.448711Z","submitted_at":"2007-06-14T20:22:50Z","title":"Phases of Dense Quarks at Large N_c","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0706.2191","snapshot_observed_at":"2026-08-05T15:39:04.935789Z","title":"McLerran and R","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.935789Z"},"links":{"cited_paper":"/paper/0706.2191","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:6d3786c8e9c6ee68c36123137407586ba65ce70d476064a630a600d2971af795","observation_id":"30bd7269-141d-4b66-acfa-2a0b82be9337","resolution":{"observed_at":"2026-08-05T15:39:04.935789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"0709.4635","last_updated":"2008-01-21T08:57:17Z","snapshot_observed_at":"2026-07-06T01:34:39.570334Z","submitted_at":"2007-09-28T18:31:24Z","title":"Color superconductivity in dense quark matter","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0709.4635","snapshot_observed_at":"2026-08-05T15:39:04.939153Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.939153Z"},"links":{"cited_paper":"/paper/0709.4635","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:4879d5cdcbfc6efc7e724b883554f17d36c9a3faad29a2cea824d309963c278b","observation_id":"9db8c883-eba5-47e0-b6b8-ed7ecb92fa6f","resolution":{"observed_at":"2026-08-05T15:39:04.939153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.05702","last_updated":"2019-12-12T00:04:38Z","snapshot_observed_at":"2026-07-06T08:43:55.093635Z","submitted_at":"2019-12-12T00:04:38Z","title":"A NICER View of PSR J0030+0451: Millisecond Pulsar Parameter Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.05702","snapshot_observed_at":"2026-08-05T15:39:04.942425Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.942425Z"},"links":{"cited_paper":"/paper/1912.05702","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:ca80554b2cf80034166f2eb494de53e057cf1a468aa571f27f1e26788a77e4f6","observation_id":"704908a4-7ec9-4302-b96c-84629ae9028f","resolution":{"observed_at":"2026-08-05T15:39:04.942425Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.05705","last_updated":"2019-12-12T00:04:41Z","snapshot_observed_at":"2026-07-31T21:20:48.579404Z","submitted_at":"2019-12-12T00:04:41Z","title":"PSR J0030+0451 Mass and Radius from NICER Data and Implications for the Properties of Neutron Star Matter","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.05705","snapshot_observed_at":"2026-08-05T15:39:04.945849Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.945849Z"},"links":{"cited_paper":"/paper/1912.05705","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:582246d6a2a24a63b18a97b86289a5169c698b4029dd0898cd8734b10490b941","observation_id":"640d15ba-e4aa-44f7-8c24-5e71cedf396c","resolution":{"observed_at":"2026-08-05T15:39:04.945849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.05832","last_updated":"2017-10-16T16:57:17Z","snapshot_observed_at":"2026-07-09T17:52:08.260915Z","submitted_at":"2017-10-16T16:57:17Z","title":"GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.05832","snapshot_observed_at":"2026-08-05T15:39:04.949045Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.949045Z"},"links":{"cited_paper":"/paper/1710.05832","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:65243aad4c07d19bc02fb22cdc2c49b268255d0ccfe54ad9a9011df9fae81a48","observation_id":"781add06-dd7f-4061-84d9-6297d3909860","resolution":{"observed_at":"2026-08-05T15:39:04.949045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1005.0811","last_updated":"2010-09-09T14:10:43Z","snapshot_observed_at":"2026-08-03T11:39:46.134000Z","submitted_at":"2010-05-05T18:58:39Z","title":"The Equation of State from Observed Masses and Radii of Neutron Stars","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1005.0811","snapshot_observed_at":"2026-08-05T15:39:04.952400Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.952400Z"},"links":{"cited_paper":"/paper/1005.0811","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:8b8d3cc8a8173ae0e6c6c0086995e5644c1352f900f8f25f9ae833cf82316365","observation_id":"a43cada2-6fd5-4ac6-b1ac-704288025de4","resolution":{"observed_at":"2026-08-05T15:39:04.952400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1505.05155","last_updated":"2015-12-10T20:42:44Z","snapshot_observed_at":"2026-08-03T23:55:42.074767Z","submitted_at":"2015-05-19T20:01:16Z","title":"The Dense Matter Equation of State from Neutron Star Radius and Mass Measurements","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1505.05155","snapshot_observed_at":"2026-08-05T15:39:04.955581Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.955581Z"},"links":{"cited_paper":"/paper/1505.05155","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:c956993cc42eb3c5313baadaa011ea35f16d7108885f461596f512205aea37ce","observation_id":"651d56f6-7f0c-401a-9ff3-56608ef67c9e","resolution":{"observed_at":"2026-08-05T15:39:04.955581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.01630","last_updated":"2016-03-04T21:09:26Z","snapshot_observed_at":"2026-07-06T04:48:22.926764Z","submitted_at":"2016-03-04T21:09:26Z","title":"Neutron Star Mass-Radius Constraints of the Quiescent Low-mass X-ray Binaries X7 and X5 in the Globular Cluster 47 Tuc","version":1},"cited_work":{"arxiv_id":"1603.01630","doi":null,"metadata_source":"pith","pith_arxiv_id":"1603.01630","snapshot_observed_at":"2026-08-05T15:39:05.459280Z","title":"Neutron Star Mass-Radius Constraints of the Quiescent Low-mass X-ray Binaries X7 and X5 in the Globular Cluster 47 Tuc","venue":"astro-ph.HE","work_id":"da281f3a-00eb-4e0b-8d06-f95c90b1c586","year":2016},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.958579Z"},"links":{"cited_paper":"/paper/1603.01630","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:a93ec73cc256afe8604e4c827c22e7ea5735aa097e339077d5adce859c544353","observation_id":"f34905a5-8493-4dab-a2fe-52c80e9d069b","resolution":{"observed_at":"2026-08-05T15:39:05.463311Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.06748","last_updated":"2018-03-09T12:17:27Z","snapshot_observed_at":"2026-07-06T06:10:06.376505Z","submitted_at":"2017-11-17T22:12:12Z","title":"Methodology study of machine learning for the neutron star equation of state","version":3},"cited_work":{"arxiv_id":"1711.06748","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.06748","snapshot_observed_at":"2026-08-05T15:39:05.445157Z","title":"Methodology study of machine learning for the neutron star equation of state","venue":"nucl-th","work_id":"9e011de0-d987-44ff-89c4-7c6c1ca3579b","year":2017},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.961439Z"},"links":{"cited_paper":"/paper/1711.06748","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:51fea74e63efa79d87260734a5215f03a5c67398da764776968d6fc9258da34a","observation_id":"3c4ed61d-70df-4f54-bf50-a0c1e744f3f0","resolution":{"observed_at":"2026-08-05T15:39:05.449289Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.03400","last_updated":"2020-02-19T09:08:02Z","snapshot_observed_at":"2026-08-07T05:15:39.901283Z","submitted_at":"2019-03-08T12:46:11Z","title":"Mapping neutron star data to the equation of state using the deep neural network","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.03400","snapshot_observed_at":"2026-08-05T15:39:04.964936Z","title":"Fujimoto, K","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.964936Z"},"links":{"cited_paper":"/paper/1903.03400","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:bb9d298dac1424d7c4980daa101bba4a331770962dc56be5a760c738a6e6c0c9","observation_id":"3c1bb53a-330a-4a1c-a528-0155986ec1cb","resolution":{"observed_at":"2026-08-05T15:39:04.964936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.08156","last_updated":"2021-01-20T14:27:12Z","snapshot_observed_at":"2026-08-06T18:16:43.418573Z","submitted_at":"2021-01-20T14:27:12Z","title":"Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation","version":1},"cited_work":{"arxiv_id":"2101.08156","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.08156","snapshot_observed_at":"2026-08-05T15:39:05.421819Z","title":"Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation","venue":"nucl-th","work_id":"068f5099-be35-4098-b6b3-2b4476e74027","year":2021},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.967826Z"},"links":{"cited_paper":"/paper/2101.08156","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:68d9bbb3e97a4d27c7fdb82739df5970714534e0cde06331f17fd3d400b44fdc","observation_id":"a52f476b-ef1f-4942-9e09-3c5f752e9d5d","resolution":{"observed_at":"2026-08-05T15:39:05.425211Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12688","last_updated":"2024-02-01T06:16:01Z","snapshot_observed_at":"2026-07-06T17:19:19.377937Z","submitted_at":"2024-01-23T11:52:49Z","title":"Uncertainty quantification in the machine-learning inference from neutron star probability distribution to the equation of state","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12688","snapshot_observed_at":"2026-08-05T15:39:04.970824Z","title":"Fujimoto, K","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.970824Z"},"links":{"cited_paper":"/paper/2401.12688","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:92f6a23eaf84fac502d8476c3e727c492087a36cb491bfdd7198a29818ae5137","observation_id":"7723b830-1fcb-4366-af0f-7d9437646bfa","resolution":{"observed_at":"2026-08-05T15:39:04.970824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.05554","last_updated":"2021-07-21T14:08:30Z","snapshot_observed_at":"2026-07-06T08:29:01.140025Z","submitted_at":"2019-10-12T11:41:19Z","title":"Unveiling the nuclear matter EoS from neutron star properties: a supervised machine learning approach","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.05554","snapshot_observed_at":"2026-08-05T15:39:04.973687Z","title":"Ferreira and C","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.973687Z"},"links":{"cited_paper":"/paper/1910.05554","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:6c54415e53fe3c564ca196e153d979898bea859b1710e8d0e425fe135fe2b95a","observation_id":"d428f0b9-36ab-4370-b4c0-23acc5c4ae3a","resolution":{"observed_at":"2026-08-05T15:39:04.973687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07194","last_updated":"2020-06-29T13:44:09Z","snapshot_observed_at":"2026-07-06T09:28:30.975491Z","submitted_at":"2020-06-11T13:04:47Z","title":"Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07194","snapshot_observed_at":"2026-08-05T15:39:04.976469Z","title":"Morawski and M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.976469Z"},"links":{"cited_paper":"/paper/2006.07194","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:7a74be4a47c63b957fc5e87d6ce34534130a70b56393911ca4d2d3cdb9547a10","observation_id":"7aa9a1e9-e3e7-4834-a5cf-9eb516f94c21","resolution":{"observed_at":"2026-08-05T15:39:04.976469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10239","last_updated":"2020-11-10T16:41:47Z","snapshot_observed_at":"2026-08-06T11:48:47.341407Z","submitted_at":"2020-07-20T16:27:48Z","title":"Structure of Quark Star: A Comparative Analysis of Bayesian Inference and Neural Network Based Modeling","version":2},"cited_work":{"arxiv_id":"2007.10239","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.10239","snapshot_observed_at":"2026-08-05T15:39:05.383631Z","title":"Structure of Quark Star: A Comparative Analysis of Bayesian Inference and Neural Network Based Modeling","venue":"nucl-th","work_id":"420653fb-a848-4968-8307-26d3b8a1ff42","year":2020},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.979628Z"},"links":{"cited_paper":"/paper/2007.10239","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:17e0dfe0e3c0b8d720ebed02b7a370061182eec307973ba1e5182e3e882ee09a","observation_id":"3ec280d7-21d6-4244-92a4-5f2dcfc35d36","resolution":{"observed_at":"2026-08-05T15:39:05.387532Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.04089","last_updated":"2022-02-01T02:22:36Z","snapshot_observed_at":"2026-07-06T12:16:26.510937Z","submitted_at":"2021-12-08T03:06:57Z","title":"Translating neutron star observations to nuclear symmetry energy via artificial neural networks","version":2},"cited_work":{"arxiv_id":"2112.04089","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.04089","snapshot_observed_at":"2026-08-05T15:39:05.371327Z","title":"Translating neutron star observations to nuclear symmetry energy via artificial neural networks","venue":"nucl-th","work_id":"6f2e6796-da30-44cd-9d1d-027cd34006ec","year":2021},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.982364Z"},"links":{"cited_paper":"/paper/2112.04089","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:bb2e229eff1de873dfdb499b6fa9532d56c439f8112dee1831febdb8ce16c54c","observation_id":"5f3080f9-dd4d-494d-93b9-8eadce88f9dc","resolution":{"observed_at":"2026-08-05T15:39:05.374754Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.01756","last_updated":"2022-09-02T11:26:41Z","snapshot_observed_at":"2026-08-07T03:42:44.264174Z","submitted_at":"2022-01-05T18:40:42Z","title":"Neural network reconstruction of the dense matter equation of state from neutron star observables","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.01756","snapshot_observed_at":"2026-08-05T15:39:04.985025Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.985025Z"},"links":{"cited_paper":"/paper/2201.01756","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:d1c9f9ee9e9282458a899d69fbda88fcd5314e6c401e8d62ea6e8818b6252e5a","observation_id":"f19c5026-d415-4329-bfa8-fe9f254d3478","resolution":{"observed_at":"2026-08-05T15:39:04.985025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.13163","last_updated":"2024-01-16T17:20:00Z","snapshot_observed_at":"2026-08-05T13:51:48.127419Z","submitted_at":"2022-08-28T07:52:17Z","title":"Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.13163","snapshot_observed_at":"2026-08-05T15:39:04.987867Z","title":"Thete, K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.987867Z"},"links":{"cited_paper":"/paper/2208.13163","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:1d36c2a992cc60f501f01d60c6108d3e3516b5ec7bf04093ed708061beda46ae","observation_id":"259a614b-6926-40f5-b45e-73787fa7d1a9","resolution":{"observed_at":"2026-08-05T15:39:04.987867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.02817","last_updated":"2023-01-11T15:47:53Z","snapshot_observed_at":"2026-07-06T13:49:33.550289Z","submitted_at":"2022-09-06T21:12:55Z","title":"Deducing Neutron Star Equation of State Parameters Directly From Telescope Spectra with Uncertainty-Aware Machine Learning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.02817","snapshot_observed_at":"2026-08-05T15:39:04.990566Z","title":"Farrell, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.990566Z"},"links":{"cited_paper":"/paper/2209.02817","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:08e6a3afad9d64c28dcc3990775cf0bf67812474b68f91f5842d0439c6f232ee","observation_id":"3b3bb476-038b-4b45-80d6-79c8fcd6226c","resolution":{"observed_at":"2026-08-05T15:39:04.990566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.08883","last_updated":"2022-12-22T15:41:47Z","snapshot_observed_at":"2026-08-04T01:49:12.243924Z","submitted_at":"2022-09-19T09:38:33Z","title":"Reconstructing the neutron star equation of state from observational data via automatic differentiation","version":2},"cited_work":{"arxiv_id":"2209.08883","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.08883","snapshot_observed_at":"2026-08-05T15:39:05.333526Z","title":"Reconstructing the neutron star equation of state from observational data via automatic differentiation","venue":"astro-ph.HE","work_id":"c099a63e-bdb2-4d5e-bcdb-79bfaed7455e","year":2022},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.993227Z"},"links":{"cited_paper":"/paper/2209.08883","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:d406b8a8c7b646e4ac022c65725b0ee9a514987b279ac1d15ab412cd6ccd9d70","observation_id":"41c35605-80e1-43c4-bdc1-3846196db1d7","resolution":{"observed_at":"2026-08-05T15:39:05.336760Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.09085","last_updated":"2022-12-02T15:31:04Z","snapshot_observed_at":"2026-08-06T06:27:18.718651Z","submitted_at":"2022-09-19T15:17:36Z","title":"Extracting nuclear matter properties from the neutron star matter equation of state using deep neural networks","version":2},"cited_work":{"arxiv_id":"2209.09085","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.09085","snapshot_observed_at":"2026-08-05T15:39:05.320286Z","title":"Extracting nuclear matter properties from the neutron star matter equation of state using deep neural networks","venue":"nucl-th","work_id":"7c3c9c62-ea7d-468f-84d9-0e7d70a7874e","year":2022},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.995949Z"},"links":{"cited_paper":"/paper/2209.09085","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:53a66275256edafef3c792dd3bc61369c07d5f2577a39773dd802f074a27feaa","observation_id":"61fcc724-5eef-4d1a-885f-d128f9865184","resolution":{"observed_at":"2026-08-05T15:39:05.324327Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.08382","last_updated":"2022-10-15T21:32:36Z","snapshot_observed_at":"2026-07-06T14:06:05.716505Z","submitted_at":"2022-10-15T21:32:36Z","title":"Machine-Learning Love: classifying the equation of state of neutron stars with Transformers","version":1},"cited_work":{"arxiv_id":"2210.08382","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.08382","snapshot_observed_at":"2026-08-05T15:39:05.306289Z","title":"Machine-Learning Love: classifying the equation of state of neutron stars with Transformers","venue":"astro-ph.IM","work_id":"734ea2f6-15b6-4b26-ad2f-c9cb128d7316","year":2022},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:04.998720Z"},"links":{"cited_paper":"/paper/2210.08382","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:f17a00cc57e02a2aea4eda2cef30ea3793f64e42e5b7027452deafd275898f30","observation_id":"10387be5-31bc-4e45-8340-02396b79531e","resolution":{"observed_at":"2026-08-05T15:39:05.309849Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13648","last_updated":"2024-12-21T06:04:07Z","snapshot_observed_at":"2026-08-05T14:32:45.761705Z","submitted_at":"2023-02-27T10:30:19Z","title":"Analyzing the speed of sound in neutron star with machine learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13648","snapshot_observed_at":"2026-08-05T15:39:05.002000Z","title":"Chatterjee, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.002000Z"},"links":{"cited_paper":"/paper/2302.13648","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:7ded3866c0c2ab2dee03c675c5feefb888fdb9b617aa05f4bcd36d63a6c9f2d7","observation_id":"0fc262d4-05cf-47a5-bad2-406a5c00d364","resolution":{"observed_at":"2026-08-05T15:39:05.002000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17146","last_updated":"2023-03-30T04:48:59Z","snapshot_observed_at":"2026-07-06T15:09:57.207567Z","submitted_at":"2023-03-30T04:48:59Z","title":"A Deep Learning Approach to Extracting Nuclear Matter Properties from Neutron Star Observations","version":1},"cited_work":{"arxiv_id":"2303.17146","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17146","snapshot_observed_at":"2026-08-05T15:39:05.283795Z","title":"A Deep Learning Approach to Extracting Nuclear Matter Properties from Neutron Star Observations","venue":"nucl-th","work_id":"fbc240d0-7b16-4e05-a7e3-b3698ec02277","year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.005315Z"},"links":{"cited_paper":"/paper/2303.17146","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:f45d8650ca83bf124bf082cf4d035a8337fb6b7293b8ae82d6541893da5696c9","observation_id":"13c071ab-4494-4b59-a2fc-9423f384976e","resolution":{"observed_at":"2026-08-05T15:39:05.287266Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07442","last_updated":"2024-02-12T00:19:51Z","snapshot_observed_at":"2026-08-02T13:00:06.069824Z","submitted_at":"2023-05-09T22:38:34Z","title":"Deducing Neutron Star Equation of State from Telescope Spectra with Machine-learning-derived Likelihoods","version":4},"cited_work":{"arxiv_id":"2305.07442","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.07442","snapshot_observed_at":"2026-08-05T15:39:05.271558Z","title":"Deducing Neutron Star Equation of State from Telescope Spectra with Machine-learning-derived Likelihoods","venue":"astro-ph.HE","work_id":"7cc1ad25-a5d0-422a-a4e3-f3b2bb115070","year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.008251Z"},"links":{"cited_paper":"/paper/2305.07442","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:62a742d860391d8e90685460c11f8b8bc3ec16b4aad324ca3099c8c90f9cbf11","observation_id":"71fe8e86-0962-44ef-8c74-855fa4dd30c4","resolution":{"observed_at":"2026-08-05T15:39:05.274890Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03323","last_updated":"2023-05-05T07:01:14Z","snapshot_observed_at":"2026-08-01T20:31:18.216392Z","submitted_at":"2023-05-05T07:01:14Z","title":"Nonparametric model for the equations of state of neutron star from deep neural network","version":1},"cited_work":{"arxiv_id":"2305.03323","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.03323","snapshot_observed_at":"2026-08-05T15:39:05.257756Z","title":"Nonparametric model for the equations of state of neutron star from deep neural network","venue":"nucl-th","work_id":"6d9a061a-df47-4f78-95f5-ea585e2357f6","year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.011209Z"},"links":{"cited_paper":"/paper/2305.03323","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:856d81e4fd50a2097f3984fd82c611c800db0b9cc6119ccb976ede195565600b","observation_id":"f274d584-de83-4362-946d-0c728520c53d","resolution":{"observed_at":"2026-08-05T15:39:05.261522Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06929","last_updated":"2023-09-14T13:52:58Z","snapshot_observed_at":"2026-07-06T15:41:28.693657Z","submitted_at":"2023-06-12T08:08:32Z","title":"Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks","version":2},"cited_work":{"arxiv_id":"2306.06929","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.06929","snapshot_observed_at":"2026-08-05T15:39:05.241730Z","title":"Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks","venue":"nucl-th","work_id":"3d913387-b825-4af5-ac7f-fdf1491e3218","year":2023},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.014178Z"},"links":{"cited_paper":"/paper/2306.06929","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:43077a5aadd6aa7af853050cbb050438a4ce6c5cc6ce8a38da4889cfc2baf03e","observation_id":"eb1a78eb-de99-4843-83e2-eee47bdffc9d","resolution":{"observed_at":"2026-08-05T15:39:05.245013Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.05770","last_updated":"2024-01-11T09:24:48Z","snapshot_observed_at":"2026-08-06T03:15:55.383671Z","submitted_at":"2024-01-11T09:24:48Z","title":"From NS observations to nuclear matter properties: a machine learning approach","version":1},"cited_work":{"arxiv_id":"2401.05770","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.05770","snapshot_observed_at":"2026-08-05T15:39:05.225873Z","title":"From NS observations to nuclear matter properties: a machine learning approach","venue":"nucl-th","work_id":"39b7cb6f-8554-4b10-9112-ce234d3907ae","year":2024},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.017722Z"},"links":{"cited_paper":"/paper/2401.05770","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:6dc605f828a7eb58c289fb501f3dc3e600fd88fc1bff82bde073b98b9bce1e46","observation_id":"ea71914f-49d3-4b9d-baf2-69c9dbd26a21","resolution":{"observed_at":"2026-08-05T15:39:05.229638Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20226","last_updated":"2025-04-16T03:12:30Z","snapshot_observed_at":"2026-08-06T10:13:25.330507Z","submitted_at":"2025-02-27T16:12:52Z","title":"Inferring the Equation of State from Neutron Star Observables via Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20226","snapshot_observed_at":"2026-08-05T15:39:05.021025Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.021025Z"},"links":{"cited_paper":"/paper/2502.20226","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:788caee48739c51cad2cf4cff65c1c08706101a1472767c1ff6ea759701fa97b","observation_id":"647d75ef-36d4-4ae1-a441-debc2c968418","resolution":{"observed_at":"2026-08-05T15:39:05.021025Z","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":"2026-08-05T15:39:05.768876Z","title":"Lindblom, Astrophys","venue":null,"work_id":"1a5fea49-8ff9-4872-b696-aa6c33896753","year":1992},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.024367Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:c98ffe95f4901904d9c9d9655ede672d2db935e7cc8d100c19a4bf27cd43d0b0","observation_id":"cd1a5cdd-37d1-4604-afe7-894121e5afd8","resolution":{"observed_at":"2026-08-05T15:39:05.772565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T15:39:05.758535Z","title":null,"venue":null,"work_id":"fb16d29a-1387-4ac8-8044-1e4b63c48dfd","year":2013},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.027721Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:b651de33cb4fd10d807b997e3da7465957bf07ee167171ffcf7c40d8d429c9e2","observation_id":"949a6c5b-fa39-4bb7-a3e2-584400e3961b","resolution":{"observed_at":"2026-08-05T15:39:05.762167Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T15:39:05.748645Z","title":null,"venue":null,"work_id":"8d94e78f-c817-4b5d-bb4b-f1b2ea937bc8","year":2021},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.030788Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:a2f52c02801468ffdb5067f9981fa35cca7008939faf870adcca5d83b3891b83","observation_id":"03176246-b21b-4e2c-9bff-1ccb6e32dee6","resolution":{"observed_at":"2026-08-05T15:39:05.751748Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T15:39:05.033841Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.033841Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:415e5b30357a2d1eb5388fe1b4ce609798745c7b1082c38d409b0112e33c360b","observation_id":"fce7bd17-b876-44aa-8632-3dcb9f2fd74c","resolution":{"observed_at":"2026-08-05T15:39:05.033841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.04404","last_updated":"2021-05-07T14:16:03Z","snapshot_observed_at":"2026-07-06T11:08:00.999978Z","submitted_at":"2021-05-07T14:16:03Z","title":"Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.04404","snapshot_observed_at":"2026-08-05T15:39:05.037391Z","title":"Topological uncer- tainty: Monitoring trained neural networks through persistence of activation graphs,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.037391Z"},"links":{"cited_paper":"/paper/2105.04404","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:3ed32bcace991cc5e5b3a0c4968d9873ec64e87ca35c1e459e140d25307bf3a9","observation_id":"1a082fae-2b72-42d0-8ef8-cbebfdebd096","resolution":{"observed_at":"2026-08-05T15:39:05.037391Z","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":"2026-08-05T15:39:05.738669Z","title":"Carlsson, Nature Reviews Physics 2, 697 (2020)","venue":null,"work_id":"68a430be-116a-4a85-93ad-b27391592d7d","year":2020},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.040464Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:5ff1163e445c241b4a83deab0f0ae7d9eb85381be67b68ed4e9352ed093f07d7","observation_id":"55471856-b79a-4612-a98c-0d68ddb1cf88","resolution":{"observed_at":"2026-08-05T15:39:05.741938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.04019","last_updated":"2021-02-25T08:31:59Z","snapshot_observed_at":"2026-07-06T06:03:43.625152Z","submitted_at":"2017-10-11T11:53:32Z","title":"An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.04019","snapshot_observed_at":"2026-08-05T15:39:05.043254Z","title":"An introduction to topological data analysis: fundamental and 22 practical aspects for data scientists,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.043254Z"},"links":{"cited_paper":"/paper/1710.04019","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:e7dbe4515c7f4b4f1db2a9c62a0d3bee3a8e1f199be64eafc974e26e7203dc47","observation_id":"135c2ffd-cf8e-4314-bcc3-6e1193f26ec4","resolution":{"observed_at":"2026-08-05T15:39:05.043254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.15075","last_updated":"2023-07-25T13:47:05Z","snapshot_observed_at":"2026-07-06T13:26:18.012814Z","submitted_at":"2022-06-30T07:11:04Z","title":"Topological data analysis and machine learning","version":3},"cited_work":{"arxiv_id":"2206.15075","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.15075","snapshot_observed_at":"2026-08-05T15:39:05.184636Z","title":"Topological data analysis and machine learning","venue":"cond-mat.mes-hall","work_id":"b755aae2-0a0b-46f0-8bd5-1108e5eef901","year":2022},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.046386Z"},"links":{"cited_paper":"/paper/2206.15075","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:66d73b75ee08a925ab99130d7ea75bfca61ba7267c0f53c75ab8368eae4fe8ce","observation_id":"b4c5f39e-b60d-4ad7-b5e5-42c896d87f7b","resolution":{"observed_at":"2026-08-05T15:39:05.187580Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.09496","last_updated":"2019-05-30T14:39:53Z","snapshot_observed_at":"2026-07-06T07:29:20.308370Z","submitted_at":"2019-01-28T03:10:56Z","title":"Characterizing the Shape of Activation Space in Deep Neural Networks","version":2},"cited_work":{"arxiv_id":"1901.09496","doi":null,"metadata_source":"pith","pith_arxiv_id":"1901.09496","snapshot_observed_at":"2026-08-05T15:39:05.169576Z","title":"Characterizing the Shape of Activation Space in Deep Neural Networks","venue":"cs.LG","work_id":"3ff1c629-b9c7-4a9f-8b65-4e00d7657385","year":2019},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.049405Z"},"links":{"cited_paper":"/paper/1901.09496","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:b6a59246f9fd776a0f55e1d2c56134b42c625cdd17d7abcecf06a1d0187f653e","observation_id":"0e5b9721-06d9-45ce-a5e9-358fba6ce993","resolution":{"observed_at":"2026-08-05T15:39:05.174949Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T15:39:05.729415Z","title":"Cohen-Steiner, H","venue":null,"work_id":"3b6f0737-644e-4572-b3ee-d79bc40e5d6d","year":2007},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.052528Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:d442f3322c1e30a9d1f070e9e33ad68ad4e528ccdb6074bb03349b60cf29b7a9","observation_id":"3e2a5b2d-906a-4cd6-bde9-571b8c72ed83","resolution":{"observed_at":"2026-08-05T15:39:05.732669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02136","last_updated":"2018-10-03T07:32:57Z","snapshot_observed_at":"2026-08-02T06:41:33.803920Z","submitted_at":"2016-10-07T04:06:01Z","title":"A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02136","snapshot_observed_at":"2026-08-05T15:39:05.055134Z","title":"Hendrycks and K","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.055134Z"},"links":{"cited_paper":"/paper/1610.02136","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:3a73d0c71644e0966331ebaaeb3c22074686c619b062553356c39e8da6cc5fb1","observation_id":"9e2b25a6-2ae4-427d-8f20-8f1c2c132a6e","resolution":{"observed_at":"2026-08-05T15:39:05.055134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02690","last_updated":"2020-08-30T16:50:36Z","snapshot_observed_at":"2026-08-05T05:04:04.733091Z","submitted_at":"2017-06-08T17:43:56Z","title":"Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02690","snapshot_observed_at":"2026-08-05T15:39:05.057859Z","title":"Liang, Y","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.057859Z"},"links":{"cited_paper":"/paper/1706.02690","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:d33a2c14d2e0349ce7a52e88071802615319f11d8d35b74d785785e9fc1d169a","observation_id":"b093106b-9e85-4911-a800-9e439c98fab0","resolution":{"observed_at":"2026-08-05T15:39:05.057859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.03759","last_updated":"2021-04-26T04:59:58Z","snapshot_observed_at":"2026-07-06T10:02:30.383493Z","submitted_at":"2020-10-08T04:42:17Z","title":"Energy-based Out-of-distribution Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.03759","snapshot_observed_at":"2026-08-05T15:39:05.060649Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.060649Z"},"links":{"cited_paper":"/paper/2010.03759","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:acdbc5fd5b0b2a3310a4f81e6bc5fb6469e66e9b3aff9c6754d68b2f18e77c1e","observation_id":"7b584588-519b-4010-98f4-593e94df63b0","resolution":{"observed_at":"2026-08-05T15:39:05.060649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.09764","last_updated":"2019-09-27T06:54:59Z","snapshot_observed_at":"2026-07-31T22:37:42.256513Z","submitted_at":"2018-12-23T19:41:02Z","title":"Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.09764","snapshot_observed_at":"2026-08-05T15:39:05.063555Z","title":"Rieck, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.063555Z"},"links":{"cited_paper":"/paper/1812.09764","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:178d9e4bf086a1ff983814fce07a8eccc1d4e29236660fe0d86a675099c764e7","observation_id":"dc88f46f-175d-446a-8e2e-88ae768e1e41","resolution":{"observed_at":"2026-08-05T15:39:05.063555Z","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":"2026-08-05T15:39:05.720737Z","title":"Br¨ uel Gabrielsson, B","venue":null,"work_id":"e909e5e5-d600-452d-9823-f4a96f9e6767","year":2020},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.066334Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:e2654fc96a5fa618f6458707684809337d0593e7da82344e7a6e18f1ee76d96b","observation_id":"9ff8a8aa-b675-4c53-b03b-e7e0978a7c50","resolution":{"observed_at":"2026-08-05T15:39:05.723636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T15:39:05.711923Z","title":null,"venue":null,"work_id":"a5af5969-d9e1-455b-a169-e8b4a088b779","year":2020},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.068999Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:1672edbd3da60ef6a0e525b3491cc25b85e49c0fca563d65097eb029a2802cf7","observation_id":"988fcc13-6bd7-4f10-a5fc-476dbf81a43b","resolution":{"observed_at":"2026-08-05T15:39:05.714874Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"0812.2163","last_updated":"2008-12-11T14:59:23Z","snapshot_observed_at":"2026-07-06T01:47:44.956336Z","submitted_at":"2008-12-11T14:59:23Z","title":"Constraints on a phenomenologically parameterized neutron-star equation of state","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0812.2163","snapshot_observed_at":"2026-08-05T15:39:05.071517Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.071517Z"},"links":{"cited_paper":"/paper/0812.2163","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:5c3614e6a433dba730f8343c23050d3c6c98337d9ec9f356e44706ce06fa4c4f","observation_id":"5d7f1907-50a2-44d2-a421-9afba8ebdb7d","resolution":{"observed_at":"2026-08-05T15:39:05.071517Z","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":"2026-08-05T15:39:05.074649Z","title":null,"venue":null,"work_id":null,"year":1939},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.074649Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:c7f88782dad07a638c4e2d23382a3e820c53e1af9fd70e6bbf3df77d2f67e8d2","observation_id":"64aa4753-3d7a-4ac2-9195-f84e03d834da","resolution":{"observed_at":"2026-08-05T15:39:05.074649Z","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":"2026-08-05T15:39:05.077637Z","title":null,"venue":null,"work_id":null,"year":1939},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.077637Z"},"links":{"citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:646d90d527d323d90ffb4f9efb865945f66205ae804046779e9dd43e904edf2f","observation_id":"03e598cb-1bf3-4b3a-9e7f-c8eb6e434f12","resolution":{"observed_at":"2026-08-05T15:39:05.077637Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00287","last_updated":"2024-08-29T13:17:52Z","snapshot_observed_at":"2026-07-06T17:37:52.514730Z","submitted_at":"2024-03-01T05:14:37Z","title":"Neural Simulation-Based Inference of the Neutron Star Equation of State directly from Telescope Spectra","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00287","snapshot_observed_at":"2026-08-05T15:39:05.080300Z","title":"Brandes, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.080300Z"},"links":{"cited_paper":"/paper/2403.00287","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:f16086ac7bbef590d9c9150f4ee9fa4aabdd073e85e4a306151b2213953ec2f6","observation_id":"0880ea41-53b0-422b-8733-dfc7b6d8c34e","resolution":{"observed_at":"2026-08-05T15:39:05.080300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","latest_version":1,"primary_category":"nucl-th","snapshot_observed_at":"2026-08-07T00:00:17.824245Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":43,"verified_exact":18,"verified_fuzzy":6},"total_outbound_references":67},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2508.19683."}