{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:J2BP7HJAXPINFB5PGA5WY22ILQ","short_pith_number":"pith:J2BP7HJA","schema_version":"1.0","canonical_sha256":"4e82ff9d20bbd0d287af303b6c6b485c0b90b409a69194f24fa83ec0b5918a36","source":{"kind":"arxiv","id":"1506.05909","version":1},"attestation_state":"computed","paper":{"title":"Fluid Model Checking of Timed Properties","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.FL","authors_text":"Luca Bortolussi, Roberta Lanciani","submitted_at":"2015-06-19T08:33:25Z","abstract_excerpt":"We address the problem of verifying timed properties of Markovian models of large populations of interacting agents, modelled as finite state automata. In particular, we focus on time-bounded properties of (random) individual agents specified by Deterministic Timed Automata (DTA) endowed with a single clock. Exploiting ideas from fluid approximation, we estimate the satisfaction probability of the DTA properties by reducing it to the computation of the transient probability of a subclass of Time-Inhomogeneous Markov Renewal Processes with exponentially and deterministically-timed transitions, "},"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":"1506.05909","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.FL","submitted_at":"2015-06-19T08:33:25Z","cross_cats_sorted":[],"title_canon_sha256":"906b110f5cc72843ccae45104786d2126ec538854d66ec0ad39cfcc28c908f18","abstract_canon_sha256":"e9431d5d85750d370381663b4eb739214afc722c87eb19c2def6199f02de1a1e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:42:46.905810Z","signature_b64":"2fQxkKZ1ReS0qLLiZCDhHjyKcefzRtNUbXjrfnm0W4ztzHFh56Nb8WKxteIAMGng1kxkvg8r36hcsL+MviuZAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e82ff9d20bbd0d287af303b6c6b485c0b90b409a69194f24fa83ec0b5918a36","last_reissued_at":"2026-05-18T01:42:46.905081Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:42:46.905081Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fluid Model Checking of Timed Properties","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.FL","authors_text":"Luca Bortolussi, Roberta Lanciani","submitted_at":"2015-06-19T08:33:25Z","abstract_excerpt":"We address the problem of verifying timed properties of Markovian models of large populations of interacting agents, modelled as finite state automata. In particular, we focus on time-bounded properties of (random) individual agents specified by Deterministic Timed Automata (DTA) endowed with a single clock. Exploiting ideas from fluid approximation, we estimate the satisfaction probability of the DTA properties by reducing it to the computation of the transient probability of a subclass of Time-Inhomogeneous Markov Renewal Processes with exponentially and deterministically-timed transitions, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.05909","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":""},"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":"1506.05909","created_at":"2026-05-18T01:42:46.905193+00:00"},{"alias_kind":"arxiv_version","alias_value":"1506.05909v1","created_at":"2026-05-18T01:42:46.905193+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.05909","created_at":"2026-05-18T01:42:46.905193+00:00"},{"alias_kind":"pith_short_12","alias_value":"J2BP7HJAXPIN","created_at":"2026-05-18T12:29:27.538025+00:00"},{"alias_kind":"pith_short_16","alias_value":"J2BP7HJAXPINFB5P","created_at":"2026-05-18T12:29:27.538025+00:00"},{"alias_kind":"pith_short_8","alias_value":"J2BP7HJA","created_at":"2026-05-18T12:29:27.538025+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/J2BP7HJAXPINFB5PGA5WY22ILQ","json":"https://pith.science/pith/J2BP7HJAXPINFB5PGA5WY22ILQ.json","graph_json":"https://pith.science/api/pith-number/J2BP7HJAXPINFB5PGA5WY22ILQ/graph.json","events_json":"https://pith.science/api/pith-number/J2BP7HJAXPINFB5PGA5WY22ILQ/events.json","paper":"https://pith.science/paper/J2BP7HJA"},"agent_actions":{"view_html":"https://pith.science/pith/J2BP7HJAXPINFB5PGA5WY22ILQ","download_json":"https://pith.science/pith/J2BP7HJAXPINFB5PGA5WY22ILQ.json","view_paper":"https://pith.science/paper/J2BP7HJA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1506.05909&json=true","fetch_graph":"https://pith.science/api/pith-number/J2BP7HJAXPINFB5PGA5WY22ILQ/graph.json","fetch_events":"https://pith.science/api/pith-number/J2BP7HJAXPINFB5PGA5WY22ILQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/J2BP7HJAXPINFB5PGA5WY22ILQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/J2BP7HJAXPINFB5PGA5WY22ILQ/action/storage_attestation","attest_author":"https://pith.science/pith/J2BP7HJAXPINFB5PGA5WY22ILQ/action/author_attestation","sign_citation":"https://pith.science/pith/J2BP7HJAXPINFB5PGA5WY22ILQ/action/citation_signature","submit_replication":"https://pith.science/pith/J2BP7HJAXPINFB5PGA5WY22ILQ/action/replication_record"}},"created_at":"2026-05-18T01:42:46.905193+00:00","updated_at":"2026-05-18T01:42:46.905193+00:00"}