{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:QECXZGWFBN4RAHPQJLAE42GP6V","short_pith_number":"pith:QECXZGWF","schema_version":"1.0","canonical_sha256":"81057c9ac50b79101df04ac04e68cff554025d42ac23955c91454cfda8a990a0","source":{"kind":"arxiv","id":"2506.21821","version":1},"attestation_state":"computed","paper":{"title":"Predicting Thermodynamics of Liquid Water from Time Series Analysis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.chem-ph","authors_text":"Fausto Martelli, Ma{\\l}gorzata J. Zimo\\'n","submitted_at":"2025-06-26T23:52:51Z","abstract_excerpt":"Thermodynamics, introduced over two centuries ago, remains foundational to our understanding of physical, chemical, biological, and engineering systems. Its principles are traditionally grounded in the statistical mechanics framework, which explains macroscopic behavior from microscopic states. In this work, we propose an alternative approach that interprets thermodynamic behavior through the lenses of time series analysis, an approach commonly used in other fields, including finance, climate, and signal processing. We perform classical molecular dynamics simulations of liquid water, the most "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2506.21821","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2025-06-26T23:52:51Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"0e4eb6f67f71b55255aa6f798c5cf2e0b27b46a54e057e5e0c69b726551f8892","abstract_canon_sha256":"29d415b3d031ad624a3080fbecebef715f26cc5e1f970c30c64bb29808f1872c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:01.923307Z","signature_b64":"oaDf091m/Mn1ahHl2kMwkEZsNyA4xnEKQqJCFlO+ariC8SSzLg7YgdgbU9241straR7LohO+Nxl8e8jfEJXVDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81057c9ac50b79101df04ac04e68cff554025d42ac23955c91454cfda8a990a0","last_reissued_at":"2026-07-05T11:28:01.922814Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:01.922814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Predicting Thermodynamics of Liquid Water from Time Series Analysis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.chem-ph","authors_text":"Fausto Martelli, Ma{\\l}gorzata J. Zimo\\'n","submitted_at":"2025-06-26T23:52:51Z","abstract_excerpt":"Thermodynamics, introduced over two centuries ago, remains foundational to our understanding of physical, chemical, biological, and engineering systems. Its principles are traditionally grounded in the statistical mechanics framework, which explains macroscopic behavior from microscopic states. In this work, we propose an alternative approach that interprets thermodynamic behavior through the lenses of time series analysis, an approach commonly used in other fields, including finance, climate, and signal processing. We perform classical molecular dynamics simulations of liquid water, the most "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21821","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/2506.21821/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2506.21821","created_at":"2026-07-05T11:28:01.922885+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.21821v1","created_at":"2026-07-05T11:28:01.922885+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21821","created_at":"2026-07-05T11:28:01.922885+00:00"},{"alias_kind":"pith_short_12","alias_value":"QECXZGWFBN4R","created_at":"2026-07-05T11:28:01.922885+00:00"},{"alias_kind":"pith_short_16","alias_value":"QECXZGWFBN4RAHPQ","created_at":"2026-07-05T11:28:01.922885+00:00"},{"alias_kind":"pith_short_8","alias_value":"QECXZGWF","created_at":"2026-07-05T11:28:01.922885+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QECXZGWFBN4RAHPQJLAE42GP6V","json":"https://pith.science/pith/QECXZGWFBN4RAHPQJLAE42GP6V.json","graph_json":"https://pith.science/api/pith-number/QECXZGWFBN4RAHPQJLAE42GP6V/graph.json","events_json":"https://pith.science/api/pith-number/QECXZGWFBN4RAHPQJLAE42GP6V/events.json","paper":"https://pith.science/paper/QECXZGWF"},"agent_actions":{"view_html":"https://pith.science/pith/QECXZGWFBN4RAHPQJLAE42GP6V","download_json":"https://pith.science/pith/QECXZGWFBN4RAHPQJLAE42GP6V.json","view_paper":"https://pith.science/paper/QECXZGWF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.21821&json=true","fetch_graph":"https://pith.science/api/pith-number/QECXZGWFBN4RAHPQJLAE42GP6V/graph.json","fetch_events":"https://pith.science/api/pith-number/QECXZGWFBN4RAHPQJLAE42GP6V/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QECXZGWFBN4RAHPQJLAE42GP6V/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QECXZGWFBN4RAHPQJLAE42GP6V/action/storage_attestation","attest_author":"https://pith.science/pith/QECXZGWFBN4RAHPQJLAE42GP6V/action/author_attestation","sign_citation":"https://pith.science/pith/QECXZGWFBN4RAHPQJLAE42GP6V/action/citation_signature","submit_replication":"https://pith.science/pith/QECXZGWFBN4RAHPQJLAE42GP6V/action/replication_record"}},"created_at":"2026-07-05T11:28:01.922885+00:00","updated_at":"2026-07-05T11:28:01.922885+00:00"}