{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","short_pith_number":"pith:6Y5P3PB7","canonical_record":{"source":{"id":"2607.10887","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2026-07-12T19:29:24Z","cross_cats_sorted":["cs.LG","q-bio.BM"],"title_canon_sha256":"d13f287c4ee3d95113befc9e53e6db42cb39c2139fbcdaba89bbc94fa257e59b","abstract_canon_sha256":"857b2ba63ecceda5ae706523323fdb1d50ca2acc9dcf6d81585c9a25c07e0256"},"schema_version":"1.0"},"canonical_sha256":"f63afdbc3f8c6352cf05dd1e43a2ef563db2f07a7173ec1e1c8c0342c33912ec","source":{"kind":"arxiv","id":"2607.10887","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10887","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10887v1","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10887","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"pith_short_12","alias_value":"6Y5P3PB7RRRV","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"pith_short_16","alias_value":"6Y5P3PB7RRRVFTYF","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"pith_short_8","alias_value":"6Y5P3PB7","created_at":"2026-07-14T01:21:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"record","payload":{"canonical_record":{"source":{"id":"2607.10887","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2026-07-12T19:29:24Z","cross_cats_sorted":["cs.LG","q-bio.BM"],"title_canon_sha256":"d13f287c4ee3d95113befc9e53e6db42cb39c2139fbcdaba89bbc94fa257e59b","abstract_canon_sha256":"857b2ba63ecceda5ae706523323fdb1d50ca2acc9dcf6d81585c9a25c07e0256"},"schema_version":"1.0"},"canonical_sha256":"f63afdbc3f8c6352cf05dd1e43a2ef563db2f07a7173ec1e1c8c0342c33912ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:21:45.516878Z","signature_b64":"mn4CJp4z4/jQbbg+sZN+3iheGKZJ0fkPrKW/KtD9HNb6I/alXqHgIkln5/V6Pp9x4mxsKDbdAPxnWMmgkGX4Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f63afdbc3f8c6352cf05dd1e43a2ef563db2f07a7173ec1e1c8c0342c33912ec","last_reissued_at":"2026-07-14T01:21:45.515968Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:21:45.515968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.10887","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-14T01:21:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kEu8CZlgM5z/A6HG3xO9ZCQaNpHCUGHQuKmw5UxyDGf2ZRPJyICl0mpU78zgmGnsv/uJq0GtQFj+ww1HwhE3Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.860005Z"},"content_sha256":"fef45e298fad2ef6f4b7c533e16ba1c3e6bc3bfd9d1fa8081801c4ebf98a763c","schema_version":"1.0","event_id":"sha256:fef45e298fad2ef6f4b7c533e16ba1c3e6bc3bfd9d1fa8081801c4ebf98a763c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transferable Implicit Solvent Machine Learning Potential for Drugs and Proteins Approaching Ab Initio Accuracy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","q-bio.BM"],"primary_cat":"physics.chem-ph","authors_text":"Jan Eckwert, Julija Zavadlav","submitted_at":"2026-07-12T19:29:24Z","abstract_excerpt":"Machine learning interatomic potentials (MLPs) have revolutionized atomistic modeling, offering the potential to replace traditional methods like Density Functional Theory (DFT). However, inference time of MLPs is orders of magnitude slower than that of classical force fields, hindering real-world applications for biomolecular systems that require timescales of microseconds and beyond. Implicit solvent MLPs can address this issue, but are faced with data challenges associated with coarse-grained modeling. Consequently, previous approaches relied on empirical force field data, thereby inherentl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10887","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.10887/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-14T01:21:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lLqW1przGEXLrnq43gRFYYx3H+TCCAuh7AhcTjh5Vg66HR2s+nX/g42YkNCTrV4mnUP9a6uD3BX2N8/2mGejDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.860429Z"},"content_sha256":"aff5cf52f1a1d6b83def56ef87fb41c3499b8c2fdeec615d596dd6034e269690","schema_version":"1.0","event_id":"sha256:aff5cf52f1a1d6b83def56ef87fb41c3499b8c2fdeec615d596dd6034e269690"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"Identifier '10.1002/(sici)1096-987x(199604)17:5/6' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Halgren, T.A.: Merck molecular force field. v. extension of mmff94 using experimental data, additional computational data, and empirical rules. Journal of Computational Chemistry17(5-6), 616–641 (1996) https://doi.org/10.1002/(SICI)1096-987","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"doi":"10.1002/(sici)1096-987x(199604)17:5/6","arxiv_id":null,"ref_index":124,"raw_excerpt":"Halgren, T.A.: Merck molecular force field. v. extension of mmff94 using experimental data, additional computational data, and empirical rules. Journal of Computational Chemistry17(5-6), 616–641 (1996) https://doi.org/10.1002/(SICI)1096-987X(199604)17:5/6⟨616::AID-JCC5⟩3.0.CO;2-X","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":124,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1002/(sici)1096-987x(199604)17:5/6","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"984525096b6777f8225de18d5e667a69854457e26ca0235d7b5edc526623edde","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13550,"payload_sha256":"835acbe8be321f32da63b30d163ffe985a542625fc67c6dceb8af0e5584acbcc","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ITUrz86QOCWz8rrbqc7L+s2QnrRzeT6qeTDJeUnZIoLaC/ZTxcXChvoAugODAU+RLIbHo6UzaUux8EvH8T0JCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.864230Z"},"content_sha256":"a33843eddf7ff29540aae6fb493dd9c31acd63a7a08726e46e546bf549e7d626","schema_version":"1.0","event_id":"sha256:a33843eddf7ff29540aae6fb493dd9c31acd63a7a08726e46e546bf549e7d626"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"Identifier '10.1002/(sici)1096-9' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Halgren, T.A., Nachbar, R.B.: Merck molecular force field. iv. conformational energies and geometries for mmff94. Journal of Computational Chemistry17(5-6), 587–615 (1996) https://doi.org/10.1002/(SICI)1096-9 87X(199604)17:5/6⟨587::AID-JCC4","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"doi":"10.1002/(sici)1096-9","arxiv_id":null,"ref_index":123,"raw_excerpt":"Halgren, T.A., Nachbar, R.B.: Merck molecular force field. iv. conformational energies and geometries for mmff94. Journal of Computational Chemistry17(5-6), 587–615 (1996) https://doi.org/10.1002/(SICI)1096-9 87X(199604)17:5/6⟨587::AID-JCC4⟩3.0.CO;2-Q","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":123,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1002/(sici)1096-9","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"e5b441265f44dd12411a48c3a554c0515c3975f0bed8755fbd4d0f455fd2de5e","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13549,"payload_sha256":"77df4e401815dc8ffb76f4d64dec85f06c02d6080d9f5e9ae4a9f2291ad052ab","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"210L0FFey4cVpqhmZz0/Z7fgOhVPtLHDu9RvvbIjm5esdP/2zdMLilYbqjo1Ajf1ZPhys4S+PSRn1zHqj1y4AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.864567Z"},"content_sha256":"adb47f38884b998dba7a33d0b76857ac5d94c7a59861d0ba326ca85ac4da33dd","schema_version":"1.0","event_id":"sha256:adb47f38884b998dba7a33d0b76857ac5d94c7a59861d0ba326ca85ac4da33dd"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"Identifier '10.1002/(sici)1096-987x(19' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Halgren, T.A.: Merck molecular force field. iii. molecular geometries and vibrational frequencies for mmff94. Journal of Computational Chemistry17(5-6), 553–586 (1996) https://doi.org/10.1002/(SICI)1096-987X(19 9604)17:5/6⟨553::AID-JCC3⟩3.0","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"doi":"10.1002/(sici)1096-987x(19","arxiv_id":null,"ref_index":122,"raw_excerpt":"Halgren, T.A.: Merck molecular force field. iii. molecular geometries and vibrational frequencies for mmff94. Journal of Computational Chemistry17(5-6), 553–586 (1996) https://doi.org/10.1002/(SICI)1096-987X(19 9604)17:5/6⟨553::AID-JCC3⟩3.0.CO;2-T","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":122,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1002/(sici)1096-987x(19","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"57ab3ce535e0de8b70cc9e50412da6005fad41f0cf58ab580ec4e36a8ebbb196","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13548,"payload_sha256":"97caf45c6972280ddbbd1564dca37c466b9a666e47c8b5b23ea6599bd245d891","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DV93JZ90ck3xBfbNqWUxJixni4YJdzMLekY4L5UCEi0vdQLIihwq/oc8Dpuua0LTwn4UsTsF9tixfU2K6qOfCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.864893Z"},"content_sha256":"6e271366ebdc3ff02d372b5b1135fe7d067b0904614c420a5cc09675ec23af09","schema_version":"1.0","event_id":"sha256:6e271366ebdc3ff02d372b5b1135fe7d067b0904614c420a5cc09675ec23af09"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1039/D2CP05793J resolves to 'Transfer learning for chemically accurate interatomic neural network potentials'. A reader following the printed text alone cannot reach it.","snippet":"Zaverkin, V., Holzm¨ uller, D., Bonfirraro, L., K¨ astner, J.: Transfer learning for chemically accurate interatomic neural network potentials. Phys. Chem. Chem. Phys.25, 5383–5396 (2023) https://doi.org/10.1039/D2CP05 793J","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":113,"verdict_class":"incontrovertible","resolved_title":"Transfer learning for chemically accurate interatomic neural network potentials","printed_excerpt":"10.1039/d2cp05","reconstructed_doi":"10.1039/D2CP05793J"},"severity":"advisory","ref_index":113,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1039/D2CP05793J","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"e59f156cb980327315a5b7636959365bb918a5e45b5c63b17ec0813e7e330599","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Transfer learning for chemically accurate interatomic neural network potentials","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13547,"payload_sha256":"36e0e81a9bdb58ce04ce6dc51e88d3fbd5c366addc204ff0b3b6ea015eba651d","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qCIk+0gGgreRJtMrCX7YTrtUsI9U+7GFLgCcKs5ZgwwhympM3wFObB5FBGpWcziuBZJL8vKf1YgdPGxcPrtLAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.865210Z"},"content_sha256":"324dd6165465cfc052bcb8e495faa3533ab120b44f7a485a4b641e64c7c830cd","schema_version":"1.0","event_id":"sha256:324dd6165465cfc052bcb8e495faa3533ab120b44f7a485a4b641e64c7c830cd"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1021/ja9902221 resolves to 'Identification of the Hydrogen Bonding Network in a Protein by Scalar Couplings'. A reader following the printed text alone cannot reach it.","snippet":"Cornilescu, G., Hu, J.-S., Bax, A.: Identification of the hydrogen bonding network in a protein by scalar couplings. Journal of the American Chemical Society121(12), 2949–2950 (1999) https://doi.org/10.1021/ja 9902221 https://doi.org/10.102","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":94,"verdict_class":"incontrovertible","resolved_title":"Identification of the Hydrogen Bonding Network in a Protein by Scalar Couplings","printed_excerpt":"10.1021/ja","reconstructed_doi":"10.1021/ja9902221"},"severity":"advisory","ref_index":94,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1021/ja9902221","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"4d41052fdfc5bf23645e033601aca3bda3520933c7301bde238e7a663493b1a0","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Identification of the Hydrogen Bonding Network in a Protein by Scalar Couplings","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13546,"payload_sha256":"e18d7f872b9397f9d1924de4809821bdd257399cb8f2a6e8b0c8b8e788e9c6fe","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w0Chju3bO67HvJmuqoCHqwEfGwurH5ZxOGnb57ChFOyUgfhfR3V5FcHMX3RE92sXtJlKfQD9ew2kKa+bWWe6DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.865520Z"},"content_sha256":"d9c0ce12e8d489db77177f356d162977501106903dcc3658a8cdc8ee03d8f944","schema_version":"1.0","event_id":"sha256:d9c0ce12e8d489db77177f356d162977501106903dcc3658a8cdc8ee03d8f944"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1016/bs.apcsb.2014.06.005 resolves to 'Recent Advances in Transferable Coarse-Grained Modeling of Proteins'. A reader following the printed text alone cannot reach it.","snippet":"Kar, P., Feig, M.: Chapter five - recent advances in transferable coarse-grained modeling of proteins. In: Karabencheva-Christova, T. (ed.) Biomolecular Modelling and Simulations. Advances in Protein Chemistry and Structural Biology, vol. 9","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":87,"verdict_class":"incontrovertible","resolved_title":"Recent Advances in Transferable Coarse-Grained Modeling of Proteins","printed_excerpt":"10.1016/bs.apcsb","reconstructed_doi":"10.1016/bs.apcsb.2014.06.005"},"severity":"advisory","ref_index":87,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/bs.apcsb.2014.06.005","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"4efa3e4949bd59669b7b4146a18658e2809197381cc2ad806b7a853990724b67","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Recent Advances in Transferable Coarse-Grained Modeling of Proteins","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13545,"payload_sha256":"0165879e0a28e5195332e4e246ae277be899082e5968c2b1156877b3a7d12ca0","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"92DqrXQ1+CVE40gxcKv68YnNEgDz2q7yj+Q9ZMYW+xsne03McKMwFDsbRcU1c+2MmOlWHwdwN50s/shvz//nAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.866154Z"},"content_sha256":"4cf2e52bbeb0f70582e4540930f5dc2ef32b5194a538bcdd33e15b79b70874f6","schema_version":"1.0","event_id":"sha256:4cf2e52bbeb0f70582e4540930f5dc2ef32b5194a538bcdd33e15b79b70874f6"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1371/journal.pone.0032131) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Lindorff-Larsen, K., Maragakis, P., Piana, S., Eastwood, M.P., Dror, R.O., Shaw, D.E.: Systematic validation of protein force fields against experimental data. PLOS ONE7(2), 1–6 (2012) https://doi.org/10.1371/jour nal.pone.0032131","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":73,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1371/jour","reconstructed_doi":"10.1371/journal.pone.0032131"},"severity":"advisory","ref_index":73,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1371/journal.pone.0032131","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"f20b99681b6f1c50bd646e2797afcf83fe16a148d98a1ce9e0424f43e9c0ca5a","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13544,"payload_sha256":"387d8c9412c241b4c554bcbd2fbe4b9c095808d17464d54df398e9fb9db1073d","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZKmklT0PlenqtMPeWiRZ+6CQuiFJFdeHppijHXqE8xaWb88XzSnvyt21D9yY3rDBG988IaCTmouyVD9X9zZJCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.866481Z"},"content_sha256":"46600981fb80df6a8627e47db19e931191627680a0ca356c6e214f1b3789c191","schema_version":"1.0","event_id":"sha256:46600981fb80df6a8627e47db19e931191627680a0ca356c6e214f1b3789c191"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1016/j.bpj.2010.04.062 resolves to 'Scrutinizing Molecular Mechanics Force Fields on the Submicrosecond Timescale with NMR Data'. A reader following the printed text alone cannot reach it.","snippet":"Lange, O.F., van der Spoel, D., de Groot, B.L.: Scrutinizing molecular mechanics force fields on the submi- crosecond timescale with nmr data. Biophysical Journal99(2), 647–655 (2010) https://doi.org/10.1016/j.bp j.2010.04.062","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":72,"verdict_class":"incontrovertible","resolved_title":"Scrutinizing Molecular Mechanics Force Fields on the Submicrosecond Timescale with NMR Data","printed_excerpt":"10.1016/j.bp","reconstructed_doi":"10.1016/j.bpj.2010.04.062"},"severity":"advisory","ref_index":72,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.bpj.2010.04.062","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"5c760bfce063deb450523777d0bdf3899208e1f65bcc66879c2f00c6989f0e48","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Scrutinizing Molecular Mechanics Force Fields on the Submicrosecond Timescale with NMR Data","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13543,"payload_sha256":"b322dd3e479ab36075e7163c22dd7b3ab2c72b3e7be7320900a23dca2262c154","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/S9rPVZYZ1InjCFt7Ahqw453Y3jOHreGHZM/UEOVRckTndMOzjvAvX/zEGH+l0WcII1vzzED/mYzv8faxk4kAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.866795Z"},"content_sha256":"75c10697b2b875edc64d617694635d1b84df4024eed5c8a4d2892850494c9aca","schema_version":"1.0","event_id":"sha256:75c10697b2b875edc64d617694635d1b84df4024eed5c8a4d2892850494c9aca"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1002/jcc.23354 resolves to 'CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data'. A reader following the printed text alone cannot reach it.","snippet":"Huang, J., MacKerell Jr, A.D.: Charmm36 all-atom additive protein force field: Validation based on compar- ison to nmr data. Journal of Computational Chemistry34(25), 2135–2145 (2013) https://doi.org/10.1002/jc c.23354 https://onlinelibrary","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":71,"verdict_class":"incontrovertible","resolved_title":"CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data","printed_excerpt":"10.1002/jc","reconstructed_doi":"10.1002/jcc.23354"},"severity":"advisory","ref_index":71,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1002/jcc.23354","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"1524062695bf25d873a5f625d11822cdffe19080c6abe8bfa1f0a5a27a8cdec2","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13542,"payload_sha256":"ba2670617d4646b6ed68c66bed01d08abcff9bb23fe1e12f3d200ce5a88827e1","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CEzcSayEdrTooKq2hQkk68+QJJeCsk/oBQONN176qhSsRc+RN3s4uJi2Ge/JHwZr3kt53GbEoFw/goaNRDtMDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.867109Z"},"content_sha256":"d5fd300b19028269ebb4c0c6739a306a2f66abb3403ae945e940cde4768298d6","schema_version":"1.0","event_id":"sha256:d5fd300b19028269ebb4c0c6739a306a2f66abb3403ae945e940cde4768298d6"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1063/5.0235189 resolves to 'Predicting solvation free energies with an implicit solvent machine learning potential'. A reader following the printed text alone cannot reach it.","snippet":"R¨ ocken, S., Burnet, A.F., Zavadlav, J.: Predicting solvation free energies with an implicit solvent machine learning potential. The Journal of Chemical Physics161(23), 234101 (2024) https://doi.org/10.1063/5.0235 189","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":44,"verdict_class":"incontrovertible","resolved_title":"Predicting solvation free energies with an implicit solvent machine learning potential","printed_excerpt":"10.1063/5.0235","reconstructed_doi":"10.1063/5.0235189"},"severity":"advisory","ref_index":44,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1063/5.0235189","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"09cecfe23db6d986bca7b985be6072d5cf96d2675954f440546d7b5f56968ed3","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Predicting solvation free energies with an implicit solvent machine learning potential","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13541,"payload_sha256":"2bb6b9da93e6f4aa6a1022ca3f1c19d9bd9223347d63093e25c20c68594be56e","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S3tmdX3RZm4hTUykFRjdMTyO9wCqBcBpxRrAO4uq68zfg9DXC3YN7ppGsqnif8HNIpvlWgd8dwRFHS2Nc77mDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.867480Z"},"content_sha256":"634de9319ea0b21ab2d452d9d7d75beea68c67694def4d4fae30544d5f5dab61","schema_version":"1.0","event_id":"sha256:634de9319ea0b21ab2d452d9d7d75beea68c67694def4d4fae30544d5f5dab61"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41557-025-01874-0) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Charron, N.E., Bonneau, K., Pasos-Trejo, A.S., Guljas, A., Chen, Y., Musil, F., Venturin, J., Gusew, D., Zaporozhets, I., Kr¨ amer, A., Templeton, C., Kelkar, A., Durumeric, A.E.P., Olsson, S., P´ erez, A., Majewski, M., Husic, B.E., Patel,","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":36,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s415","reconstructed_doi":"10.1038/s41557-025-01874-0"},"severity":"advisory","ref_index":36,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41557-025-01874-0","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"d032e3202a4bca15a64319752193451b714c862abc5bcac2f6c1586149fe3d3c","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13540,"payload_sha256":"15212faf47b88b8628c4a05d6c4e67dd3ecbf9d7479b4f9cb307449065e471ee","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gliHIAElzzsKjXpOj0MgBKUOLbkioYBmhyLQfh4Qacz1gJWZ34GG/3R8i3v5DIN9CS9OEN1L9KRQ732y1hWaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.867868Z"},"content_sha256":"7c3bb50bd5153bcde1127ddd11c935cf102aad5d6028c329106d98f4b046b4ce","schema_version":"1.0","event_id":"sha256:7c3bb50bd5153bcde1127ddd11c935cf102aad5d6028c329106d98f4b046b4ce"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1146/annurev-physchem-062123-010821 resolves to 'Rigorous Progress in Coarse-Graining'. A reader following the printed text alone cannot reach it.","snippet":"Noid, W.G., Szukalo, R.J., Kidder, K.M., Lesniewski, M.C.: Rigorous progress in coarse-graining. Annual Review of Physical Chemistry75(Volume 75, 2024), 21–45 (2024) https://doi.org/10.1146/annurev-physche m-062123-010821","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":31,"verdict_class":"incontrovertible","resolved_title":"Rigorous Progress in Coarse-Graining","printed_excerpt":"10.1146/annurev-physche","reconstructed_doi":"10.1146/annurev-physchem-062123-010821"},"severity":"advisory","ref_index":31,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1146/annurev-physchem-062123-010821","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"838e769554eefefc3a5329d13473039880cebda0b833ae301025b915904137f8","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Rigorous Progress in Coarse-Graining","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13539,"payload_sha256":"87eb73aefa3a5d9d9f9a0cd6526ec07574c1f8db5851d3c2b38b9a1b218957c2","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DrFn1aSrcvv5b0xMLnTjZjQ9ZiIM5bMfrZuXtOMUv96QhlUhK1JFDozjbd5pn7C9hCI0f0tAsCvVKqYPdKPIBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.868328Z"},"content_sha256":"5faf70c5dff861795025f282786142999938a87542503ad86cb96163f5a211e9","schema_version":"1.0","event_id":"sha256:5faf70c5dff861795025f282786142999938a87542503ad86cb96163f5a211e9"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1063/5.0059915 resolves to 'Machine learning implicit solvation for molecular dynamics'. A reader following the printed text alone cannot reach it.","snippet":"Chen, Y., Kr¨ amer, A., Charron, N.E., Husic, B.E., Clementi, C., No´ e, F.: Machine learning implicit solvation for molecular dynamics. The Journal of Chemical Physics155(8), 084101 (2021) https://doi.org/10.1063/5. 0059915 . Accessed 2026","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":28,"verdict_class":"incontrovertible","resolved_title":"Machine learning implicit solvation for molecular dynamics","printed_excerpt":"10.1063/5","reconstructed_doi":"10.1063/5.0059915"},"severity":"advisory","ref_index":28,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1063/5.0059915","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"190a84daac61890c248b8e3384eb682a4f6fbfb2bbb3fe9b1b018cea1ee6feaa","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Machine learning implicit solvation for molecular dynamics","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13538,"payload_sha256":"9a785d9c437805820b80120c11c7f966aedd61ae277b30a5aba707e14a9801a4","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jmD3isFnlybBpJDDWifDsjpWIjtCmOKfZscu1MYQkGCIsfPqKh7JUkq4EyqdnoYJMfJU633TtiZKASTSwBSQBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.868913Z"},"content_sha256":"479820b41062c902039c5abff8c4fefd8c3772f9368bff2ab4d7ac88f93be108","schema_version":"1.0","event_id":"sha256:479820b41062c902039c5abff8c4fefd8c3772f9368bff2ab4d7ac88f93be108"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1021/acs.chemrev.5c00700 resolves to 'Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications'. A reader following the printed text alone cannot reach it.","snippet":"Zhu, K., Trizio, E., Zhang, J., Hu, R., Jiang, L., Hou, T., Bonati, L.: Enhanced sampling in the age of machine learning: Algorithms and applications. Chemical Reviews126(1), 671–713 (2026) https://doi.org/10.1021/ac s.chemrev.5c00700 https","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":22,"verdict_class":"incontrovertible","resolved_title":"Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications","printed_excerpt":"10.1021/ac","reconstructed_doi":"10.1021/acs.chemrev.5c00700"},"severity":"advisory","ref_index":22,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1021/acs.chemrev.5c00700","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"60b055e944f9f9e01dd9c284987994ebfa05bd938ee5e8489d0e6ce465b39819","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13537,"payload_sha256":"63624ef55ec2de3399c3b146d143feb25dd863421ef02dee601c322227baf690","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nONWt4pnNUkHwJtk4dvQr2iCtxj4w2xqh8BTntHXw84OwDwTUQDUst/R0YRrETomJRtX1oSAXZd140bSUjwKBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.869536Z"},"content_sha256":"1aa054c05237df205d017f9d9aa1af7d50e8b6dc5381a126c387ffba85e45fea","schema_version":"1.0","event_id":"sha256:1aa054c05237df205d017f9d9aa1af7d50e8b6dc5381a126c387ffba85e45fea"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1146/annurev-physchem-083122-125941 resolves to 'Enhanced Sampling with Machine Learning'. A reader following the printed text alone cannot reach it.","snippet":"Mehdi, S., Smith, Z., Herron, L., Zou, Z., Tiwary, P.: Enhanced sampling with machine learning. Annual Review of Physical Chemistry75(Volume 75, 2024), 347–370 (2024) https://doi.org/10.1146/annurev-physc hem-083122-125941","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":21,"verdict_class":"incontrovertible","resolved_title":"Enhanced Sampling with Machine Learning","printed_excerpt":"10.1146/annurev-physc","reconstructed_doi":"10.1146/annurev-physchem-083122-125941"},"severity":"advisory","ref_index":21,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1146/annurev-physchem-083122-125941","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"8a4b3b716eee5959d871c4cb6f1da593b9b66c91874a1e0bb5ec45b3273f3e70","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Enhanced Sampling with Machine Learning","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13536,"payload_sha256":"046fee10c915cd639e4d932d6d1a9c9eb953dda99dec8f4902db923f97ddb589","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yzHnOW2Tzx23p7JA3p+CZmMc5KjPFXA2U9bS5qX+qFg6xKDO/CE9fah+lA6v5pcoOvtmz/EpMnm8UNBNYN/oBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.870021Z"},"content_sha256":"07b935098f8bfb16ddbb1af8686cb340ea07fd6c308550135bc0d42444f28861","schema_version":"1.0","event_id":"sha256:07b935098f8bfb16ddbb1af8686cb340ea07fd6c308550135bc0d42444f28861"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1021/acs.jmedchem.5b01684 resolves to 'Role of Molecular Dynamics and Related Methods in Drug Discovery'. A reader following the printed text alone cannot reach it.","snippet":"De Vivo, M., Masetti, M., Bottegoni, G., Cavalli, A.: Role of molecular dynamics and related methods in drug discovery. Journal of Medicinal Chemistry59(9), 4035–4061 (2016) https://doi.org/10.1021/acs.jmedchem.5 b01684 https://doi.org/10.1","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":5,"verdict_class":"incontrovertible","resolved_title":"Role of Molecular Dynamics and Related Methods in Drug Discovery","printed_excerpt":"10.1021/acs.jmedchem.5","reconstructed_doi":"10.1021/acs.jmedchem.5b01684"},"severity":"advisory","ref_index":5,"audited_at":"2026-07-29T12:52:51.962301Z","event_type":"pith.integrity.v1","detected_doi":"10.1021/acs.jmedchem.5b01684","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"8ea0b35ae5d8ffefc01317557b10ba244b614b2484b85a9b24289c25e4b5c58b","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Role of Molecular Dynamics and Related Methods in Drug Discovery","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13535,"payload_sha256":"f92b8efca2b8ccf2e8a7e023ec6f06ccd3c8f15f178972847ffffb14458d43d4","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T12:56:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"npp1lUR+SeAMjFIbjVjO++BdQJuXGZLbZvwgKiL+Ors3Euhg73VYjnRz62/TRB/vUeZe603SZPKZtxeDq9UiBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.870594Z"},"content_sha256":"10e4da7d62cb6ac0ec9216070dd2f8efd701b80d2e19df7e1302196eef8ba7d1","schema_version":"1.0","event_id":"sha256:10e4da7d62cb6ac0ec9216070dd2f8efd701b80d2e19df7e1302196eef8ba7d1"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"Identifier '10.1002/(sici)1096-987x(199604)17:5/6' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Halgren, T.A.: Merck molecular force field. v. extension of mmff94 using experimental data, additional computational data, and empirical rules. Journal of Computational Chemistry17(5-6), 616–641 (1996) https://doi.org/10.1002/(SICI)1096-987","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"doi":"10.1002/(sici)1096-987x(199604)17:5/6","arxiv_id":null,"ref_index":124,"raw_excerpt":"Halgren, T.A.: Merck molecular force field. v. extension of mmff94 using experimental data, additional computational data, and empirical rules. Journal of Computational Chemistry17(5-6), 616–641 (1996) https://doi.org/10.1002/(SICI)1096-987X(199604)17:5/6⟨616::AID-JCC5⟩3.0.CO;2-X","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":124,"audited_at":"2026-07-14T08:38:50.277526Z","event_type":"pith.integrity.v1","detected_doi":"10.1002/(sici)1096-987x(199604)17:5/6","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"5e4e05ae6f1d099c0f40ce67f41e8fcadae5c64c63387c913d0272c77c766972","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":13198,"payload_sha256":"c4d230fc6f8a2b036c3e80e453ba53877124fb53828054407eff3dde43276b39","signature_b64":"Wd/KR3FNW3iCfOCzn8D9UwZIDW2nkPn80am/JKcdK5vCmoI0Gmuj46qdfasfZ7QgOIUhzFTjvjh1piaTUL6aDw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-14T08:40:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"unlkaKct58WJ25UhAT+zGGDMkddPal9v1X2SXmrZrkcIwhjKmbBQkrQiZ8cKjmeW+xOGDfE/M52hJHbgamc0AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.871198Z"},"content_sha256":"b0f3f1ddbc673d0657288f238b01b31219e27cfcc59619e47596d131971e7d1d","schema_version":"1.0","event_id":"sha256:b0f3f1ddbc673d0657288f238b01b31219e27cfcc59619e47596d131971e7d1d"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1002/(sici)1096-987X(199604)17:5/6) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Halgren, T.A., Nachbar, R.B.: Merck molecular force field. iv. conformational energies and geometries for mmff94. Journal of Computational Chemistry17(5-6), 587–615 (1996) https://doi.org/10.1002/(SICI)1096-9 87X(199604)17:5/6⟨587::AID-JCC4","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":123,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Halgren, T.A., Nachbar, R.B.: Merck molecular force field. iv. conformational energies and geometries for mmff94. Journal of Computational Chemistry17(5-6), 587–615 (1996) https://doi.org/10.1002/(SICI)1096-9 87X(199604)17:5/6⟨587::AID-JCC4","reconstructed_doi":"10.1002/(sici)1096-987X(199604)17:5/6"},"severity":"advisory","ref_index":123,"audited_at":"2026-07-14T08:38:50.277526Z","event_type":"pith.integrity.v1","detected_doi":"10.1002/(sici)1096-987X(199604)17:5/6","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"a29162fda7c6e3448023de070a4a6d5b9ae5c5566a18aa599381f094d01c6ff6","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":13197,"payload_sha256":"50519bff180de5fa75ddcd8eba75fa35c1e190be33161f348c1488779e5dd776","signature_b64":"62ju5Bo5le2FcQncYZoCxgnhPkKzDWaHVyoFacLVTUCXmeEVpcEegRwhyOx9kXQv2kEtIT8kFVWoDhZsXeQxCw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-14T08:40:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oy0LDuPXH1Bvf1Rnv/2RVGPRr2+qpO1Fw6YbRJh3jqXfKYfPLJ9esM1+wKBofJtS/OT3qLHttw4/+7Fq+xzfAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.871798Z"},"content_sha256":"e4943cbdca0b87c8365e5fd3318112aee363dab7b7108c8afef19c17da607992","schema_version":"1.0","event_id":"sha256:e4943cbdca0b87c8365e5fd3318112aee363dab7b7108c8afef19c17da607992"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1002/(sici)1096-987x(199604)17:5/6) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Halgren, T.A.: Merck molecular force field. iii. molecular geometries and vibrational frequencies for mmff94. Journal of Computational Chemistry17(5-6), 553–586 (1996) https://doi.org/10.1002/(SICI)1096-987X(19 9604)17:5/6⟨553::AID-JCC3⟩3.0","arxiv_id":"2607.10887","detector":"doi_compliance","evidence":{"ref_index":122,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Halgren, T.A.: Merck molecular force field. iii. molecular geometries and vibrational frequencies for mmff94. Journal of Computational Chemistry17(5-6), 553–586 (1996) https://doi.org/10.1002/(SICI)1096-987X(19 9604)17:5/6⟨553::AID-JCC3⟩3.0","reconstructed_doi":"10.1002/(sici)1096-987x(199604)17:5/6"},"severity":"advisory","ref_index":122,"audited_at":"2026-07-14T08:38:50.277526Z","event_type":"pith.integrity.v1","detected_doi":"10.1002/(sici)1096-987x(199604)17:5/6","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"02eb2dd3b462f0427c6bb681b1da58fab41d203af1a44b0f4a06a0bcac336037","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":13196,"payload_sha256":"30bf4c51f07f2166872148d766a408c16bd07842b1b5a7e865422a8ae8e45f8e","signature_b64":"l6gAvGb3DR7ySMA5kDE/JTcobFSrgaH37wPzrXnG7e+bNSaov/VhEqB4muRYXNwTp6Y5Va1CnGRBzW546xMRBw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-14T08:40:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MxzwoA4CAJ8aUW6bKl7bzdKXtrilrmW6KnSVQy9v/Tqs5o59jIfZHYDChTl++gglYJVTd4fts37c09QV6NIbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:25:13.872232Z"},"content_sha256":"10436facb21bedefd72a2a5b74e8075fef74a0e09f34d1dee1d86e66fc42c6d3","schema_version":"1.0","event_id":"sha256:10436facb21bedefd72a2a5b74e8075fef74a0e09f34d1dee1d86e66fc42c6d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6Y5P3PB7RRRVFTYF3UPEHIXPKY/bundle.json","state_url":"https://pith.science/pith/6Y5P3PB7RRRVFTYF3UPEHIXPKY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6Y5P3PB7RRRVFTYF3UPEHIXPKY/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-01T02:25:13Z","links":{"resolver":"https://pith.science/pith/6Y5P3PB7RRRVFTYF3UPEHIXPKY","bundle":"https://pith.science/pith/6Y5P3PB7RRRVFTYF3UPEHIXPKY/bundle.json","state":"https://pith.science/pith/6Y5P3PB7RRRVFTYF3UPEHIXPKY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6Y5P3PB7RRRVFTYF3UPEHIXPKY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6Y5P3PB7RRRVFTYF3UPEHIXPKY","merge_version":"pith-open-graph-merge-v1","event_count":21,"valid_event_count":21,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"857b2ba63ecceda5ae706523323fdb1d50ca2acc9dcf6d81585c9a25c07e0256","cross_cats_sorted":["cs.LG","q-bio.BM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2026-07-12T19:29:24Z","title_canon_sha256":"d13f287c4ee3d95113befc9e53e6db42cb39c2139fbcdaba89bbc94fa257e59b"},"schema_version":"1.0","source":{"id":"2607.10887","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10887","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10887v1","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10887","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"pith_short_12","alias_value":"6Y5P3PB7RRRV","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"pith_short_16","alias_value":"6Y5P3PB7RRRVFTYF","created_at":"2026-07-14T01:21:45Z"},{"alias_kind":"pith_short_8","alias_value":"6Y5P3PB7","created_at":"2026-07-14T01:21:45Z"}],"graph_snapshots":[{"event_id":"sha256:aff5cf52f1a1d6b83def56ef87fb41c3499b8c2fdeec615d596dd6034e269690","target":"graph","created_at":"2026-07-14T01:21:45Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.10887/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning interatomic potentials (MLPs) have revolutionized atomistic modeling, offering the potential to replace traditional methods like Density Functional Theory (DFT). However, inference time of MLPs is orders of magnitude slower than that of classical force fields, hindering real-world applications for biomolecular systems that require timescales of microseconds and beyond. Implicit solvent MLPs can address this issue, but are faced with data challenges associated with coarse-grained modeling. Consequently, previous approaches relied on empirical force field data, thereby inherentl","authors_text":"Jan Eckwert, Julija Zavadlav","cross_cats":["cs.LG","q-bio.BM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2026-07-12T19:29:24Z","title":"Transferable Implicit Solvent Machine Learning Potential for Drugs and Proteins Approaching Ab Initio Accuracy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10887","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:fef45e298fad2ef6f4b7c533e16ba1c3e6bc3bfd9d1fa8081801c4ebf98a763c","target":"record","created_at":"2026-07-14T01:21:45Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"857b2ba63ecceda5ae706523323fdb1d50ca2acc9dcf6d81585c9a25c07e0256","cross_cats_sorted":["cs.LG","q-bio.BM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2026-07-12T19:29:24Z","title_canon_sha256":"d13f287c4ee3d95113befc9e53e6db42cb39c2139fbcdaba89bbc94fa257e59b"},"schema_version":"1.0","source":{"id":"2607.10887","kind":"arxiv","version":1}},"canonical_sha256":"f63afdbc3f8c6352cf05dd1e43a2ef563db2f07a7173ec1e1c8c0342c33912ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f63afdbc3f8c6352cf05dd1e43a2ef563db2f07a7173ec1e1c8c0342c33912ec","first_computed_at":"2026-07-14T01:21:45.515968Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:21:45.515968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mn4CJp4z4/jQbbg+sZN+3iheGKZJ0fkPrKW/KtD9HNb6I/alXqHgIkln5/V6Pp9x4mxsKDbdAPxnWMmgkGX4Bw==","signature_status":"signed_v1","signed_at":"2026-07-14T01:21:45.516878Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.10887","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:07b935098f8bfb16ddbb1af8686cb340ea07fd6c308550135bc0d42444f28861","sha256:10436facb21bedefd72a2a5b74e8075fef74a0e09f34d1dee1d86e66fc42c6d3","sha256:10e4da7d62cb6ac0ec9216070dd2f8efd701b80d2e19df7e1302196eef8ba7d1","sha256:1aa054c05237df205d017f9d9aa1af7d50e8b6dc5381a126c387ffba85e45fea","sha256:324dd6165465cfc052bcb8e495faa3533ab120b44f7a485a4b641e64c7c830cd","sha256:46600981fb80df6a8627e47db19e931191627680a0ca356c6e214f1b3789c191","sha256:479820b41062c902039c5abff8c4fefd8c3772f9368bff2ab4d7ac88f93be108","sha256:4cf2e52bbeb0f70582e4540930f5dc2ef32b5194a538bcdd33e15b79b70874f6","sha256:5faf70c5dff861795025f282786142999938a87542503ad86cb96163f5a211e9","sha256:634de9319ea0b21ab2d452d9d7d75beea68c67694def4d4fae30544d5f5dab61","sha256:6e271366ebdc3ff02d372b5b1135fe7d067b0904614c420a5cc09675ec23af09","sha256:75c10697b2b875edc64d617694635d1b84df4024eed5c8a4d2892850494c9aca","sha256:7c3bb50bd5153bcde1127ddd11c935cf102aad5d6028c329106d98f4b046b4ce","sha256:a33843eddf7ff29540aae6fb493dd9c31acd63a7a08726e46e546bf549e7d626","sha256:adb47f38884b998dba7a33d0b76857ac5d94c7a59861d0ba326ca85ac4da33dd","sha256:b0f3f1ddbc673d0657288f238b01b31219e27cfcc59619e47596d131971e7d1d","sha256:d5fd300b19028269ebb4c0c6739a306a2f66abb3403ae945e940cde4768298d6","sha256:d9c0ce12e8d489db77177f356d162977501106903dcc3658a8cdc8ee03d8f944","sha256:e4943cbdca0b87c8365e5fd3318112aee363dab7b7108c8afef19c17da607992"]}],"invalid_events":[],"applied_event_ids":["sha256:fef45e298fad2ef6f4b7c533e16ba1c3e6bc3bfd9d1fa8081801c4ebf98a763c","sha256:aff5cf52f1a1d6b83def56ef87fb41c3499b8c2fdeec615d596dd6034e269690"],"state_sha256":"0d9ae312e127afa1fa2c49222315546bd6f222d9daee662dfde76ed933e15a26"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kF/6RWMWKMVB6Lgaqb3UqSXZXP008c0ewP/TYuphDzndzeQ/C3TKf2BUKfK8eSPFhUN5+g1Eidtj7xlRHleWAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T02:25:13.880419Z","bundle_sha256":"d65ecc03f0b797478a9009294403dfd33ba7dbd8dacf10914c0d5204aa57f795"}}