{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:P32QSYIVG2SZGMSJKKN4PHSKQO","short_pith_number":"pith:P32QSYIV","schema_version":"1.0","canonical_sha256":"7ef509611536a5933249529bc79e4a8383594d3c791673d9dace55856c893e74","source":{"kind":"arxiv","id":"2602.18321","version":2},"attestation_state":"computed","paper":{"title":"Near-optimality of conservative driving in discrete systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Andreas Dechant, Jann van der Meer","submitted_at":"2026-02-20T16:19:51Z","abstract_excerpt":"Transferring a physical system from an initial to a final state while minimizing energetic losses is an interdisciplinary control problem that bridges stochastic thermodynamics and optimal transport theory. Recent research typically considers problems in which the optimal solution is realized via conservative forces, but whether this situation applies depends on the problem's constraints. In systems with complex topologies like discrete networks, the optimal, dissipation-minimizing protocol involves applying nonconservative forces along cycles if the timescales of the transitions in the networ"},"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":"2602.18321","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2026-02-20T16:19:51Z","cross_cats_sorted":[],"title_canon_sha256":"b2c39154c222e37d4257a0dc1fe7aaeeb03059930b7c2db8d639fd9797d6b39d","abstract_canon_sha256":"cfb9072f2f6bf6b8fe83db588b2f0a9329eb1773368f91064dd3da12ffc5be87"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-24T01:23:05.647878Z","signature_b64":"0CDZfZLI5uOrEbGhVqMZEjRZ5sFOJl0oY31c0/eDX9oSjPoTuGwwLxzHgVUq1UJrzYr+JO6BfRJE3EXrpXwdDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ef509611536a5933249529bc79e4a8383594d3c791673d9dace55856c893e74","last_reissued_at":"2026-07-24T01:23:05.646885Z","signature_status":"signed_v1","first_computed_at":"2026-07-24T01:23:05.646885Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Near-optimality of conservative driving in discrete systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Andreas Dechant, Jann van der Meer","submitted_at":"2026-02-20T16:19:51Z","abstract_excerpt":"Transferring a physical system from an initial to a final state while minimizing energetic losses is an interdisciplinary control problem that bridges stochastic thermodynamics and optimal transport theory. Recent research typically considers problems in which the optimal solution is realized via conservative forces, but whether this situation applies depends on the problem's constraints. In systems with complex topologies like discrete networks, the optimal, dissipation-minimizing protocol involves applying nonconservative forces along cycles if the timescales of the transitions in the networ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.18321","kind":"arxiv","version":2},"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/2602.18321/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":"2602.18321","created_at":"2026-07-24T01:23:05.647344+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.18321v2","created_at":"2026-07-24T01:23:05.647344+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.18321","created_at":"2026-07-24T01:23:05.647344+00:00"},{"alias_kind":"pith_short_12","alias_value":"P32QSYIVG2SZ","created_at":"2026-07-24T01:23:05.647344+00:00"},{"alias_kind":"pith_short_16","alias_value":"P32QSYIVG2SZGMSJ","created_at":"2026-07-24T01:23:05.647344+00:00"},{"alias_kind":"pith_short_8","alias_value":"P32QSYIV","created_at":"2026-07-24T01:23:05.647344+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2605.00656","citing_title":"Renormalized entropy production for optimal transport in jump processes: Make conservative forces optimal again","ref_index":29,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/P32QSYIVG2SZGMSJKKN4PHSKQO","json":"https://pith.science/pith/P32QSYIVG2SZGMSJKKN4PHSKQO.json","graph_json":"https://pith.science/api/pith-number/P32QSYIVG2SZGMSJKKN4PHSKQO/graph.json","events_json":"https://pith.science/api/pith-number/P32QSYIVG2SZGMSJKKN4PHSKQO/events.json","paper":"https://pith.science/paper/P32QSYIV"},"agent_actions":{"view_html":"https://pith.science/pith/P32QSYIVG2SZGMSJKKN4PHSKQO","download_json":"https://pith.science/pith/P32QSYIVG2SZGMSJKKN4PHSKQO.json","view_paper":"https://pith.science/paper/P32QSYIV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.18321&json=true","fetch_graph":"https://pith.science/api/pith-number/P32QSYIVG2SZGMSJKKN4PHSKQO/graph.json","fetch_events":"https://pith.science/api/pith-number/P32QSYIVG2SZGMSJKKN4PHSKQO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P32QSYIVG2SZGMSJKKN4PHSKQO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P32QSYIVG2SZGMSJKKN4PHSKQO/action/storage_attestation","attest_author":"https://pith.science/pith/P32QSYIVG2SZGMSJKKN4PHSKQO/action/author_attestation","sign_citation":"https://pith.science/pith/P32QSYIVG2SZGMSJKKN4PHSKQO/action/citation_signature","submit_replication":"https://pith.science/pith/P32QSYIVG2SZGMSJKKN4PHSKQO/action/replication_record"}},"created_at":"2026-07-24T01:23:05.647344+00:00","updated_at":"2026-07-24T01:23:05.647344+00:00"}