{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:UTREUZ7CRQAFTOLDXGPJSW2ENO","short_pith_number":"pith:UTREUZ7C","schema_version":"1.0","canonical_sha256":"a4e24a67e28c0059b963b99e995b446b9e2943e020335b473a55e9167c44032f","source":{"kind":"arxiv","id":"1609.08874","version":1},"attestation_state":"computed","paper":{"title":"A Nondeterministic Model for Abstract Geometrical Computation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Rakhshan Harifi, Sama Goliaei","submitted_at":"2016-09-28T12:05:56Z","abstract_excerpt":"A signal machine is an abstract geometrical model for computation, proposed as an extension to the one-dimensional cellular automata, in which discrete time and space of cellular automata is replaced with continuous time and space in signal machine. A signal machine is defined as a set of meta-signals and a set of rules. A signal machine starts from an initial configuration which is a set of moving signals. Signals are moving in space freely until a collision. Rules of signal machine specify what happens after a collision, or in other words, specify out-coming signals for each set of colliding"},"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":"1609.08874","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2016-09-28T12:05:56Z","cross_cats_sorted":[],"title_canon_sha256":"8adf3e5f4ac0a7dd992cbf0ce0c2275f1b6e1d14768927f3e3f303c4e2aecf0a","abstract_canon_sha256":"455a3b3c196969540ecc7104c6aa83b70ca24d2b9f8cfc4911e20b4d446ca7dc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:03:41.674727Z","signature_b64":"mz9pMMg1xLhm+51xpuNxLRKDDCi61bdfticzyAenOSA4JHmrdQPZYAlm47HX9jN0G/qMWkFe+hvlHJZhjCqIBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4e24a67e28c0059b963b99e995b446b9e2943e020335b473a55e9167c44032f","last_reissued_at":"2026-05-18T01:03:41.674243Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:03:41.674243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Nondeterministic Model for Abstract Geometrical Computation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Rakhshan Harifi, Sama Goliaei","submitted_at":"2016-09-28T12:05:56Z","abstract_excerpt":"A signal machine is an abstract geometrical model for computation, proposed as an extension to the one-dimensional cellular automata, in which discrete time and space of cellular automata is replaced with continuous time and space in signal machine. A signal machine is defined as a set of meta-signals and a set of rules. A signal machine starts from an initial configuration which is a set of moving signals. Signals are moving in space freely until a collision. Rules of signal machine specify what happens after a collision, or in other words, specify out-coming signals for each set of colliding"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.08874","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":"1609.08874","created_at":"2026-05-18T01:03:41.674332+00:00"},{"alias_kind":"arxiv_version","alias_value":"1609.08874v1","created_at":"2026-05-18T01:03:41.674332+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.08874","created_at":"2026-05-18T01:03:41.674332+00:00"},{"alias_kind":"pith_short_12","alias_value":"UTREUZ7CRQAF","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_16","alias_value":"UTREUZ7CRQAFTOLD","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_8","alias_value":"UTREUZ7C","created_at":"2026-05-18T12:30:46.583412+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/UTREUZ7CRQAFTOLDXGPJSW2ENO","json":"https://pith.science/pith/UTREUZ7CRQAFTOLDXGPJSW2ENO.json","graph_json":"https://pith.science/api/pith-number/UTREUZ7CRQAFTOLDXGPJSW2ENO/graph.json","events_json":"https://pith.science/api/pith-number/UTREUZ7CRQAFTOLDXGPJSW2ENO/events.json","paper":"https://pith.science/paper/UTREUZ7C"},"agent_actions":{"view_html":"https://pith.science/pith/UTREUZ7CRQAFTOLDXGPJSW2ENO","download_json":"https://pith.science/pith/UTREUZ7CRQAFTOLDXGPJSW2ENO.json","view_paper":"https://pith.science/paper/UTREUZ7C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1609.08874&json=true","fetch_graph":"https://pith.science/api/pith-number/UTREUZ7CRQAFTOLDXGPJSW2ENO/graph.json","fetch_events":"https://pith.science/api/pith-number/UTREUZ7CRQAFTOLDXGPJSW2ENO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UTREUZ7CRQAFTOLDXGPJSW2ENO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UTREUZ7CRQAFTOLDXGPJSW2ENO/action/storage_attestation","attest_author":"https://pith.science/pith/UTREUZ7CRQAFTOLDXGPJSW2ENO/action/author_attestation","sign_citation":"https://pith.science/pith/UTREUZ7CRQAFTOLDXGPJSW2ENO/action/citation_signature","submit_replication":"https://pith.science/pith/UTREUZ7CRQAFTOLDXGPJSW2ENO/action/replication_record"}},"created_at":"2026-05-18T01:03:41.674332+00:00","updated_at":"2026-05-18T01:03:41.674332+00:00"}