{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:HOGPL5WQ42BQBAL2G7QF4CIFGT","short_pith_number":"pith:HOGPL5WQ","schema_version":"1.0","canonical_sha256":"3b8cf5f6d0e68300817a37e05e090534dc4855c7c1dda8c21e4ebe394e4ced41","source":{"kind":"arxiv","id":"1301.6258","version":1},"attestation_state":"computed","paper":{"title":"On Soliton Collisions between Localizations in Complex Elementary Cellular Automata: Rules 54 and 110 and Beyond","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"nlin.CG","authors_text":"Andrew Adamatzky, Fangyue Chen, Genaro J. Martinez, Leon Chua","submitted_at":"2013-01-26T14:16:55Z","abstract_excerpt":"In this paper we present a single-soliton two-component cellular automata (CA) model of waves as mobile self-localizations, also known as: particles, waves, or gliders; and its version with memory. The model is based on coding sets of strings where each chain represents a unique mobile self-localization. We will discuss briefly the original soliton models in CA proposed with {\\it filter automata}, followed by solutions in elementary CA (ECA) domain with the famous universal ECA {\\it Rule 110}, and reporting a number of new solitonic collisions in ECA {\\it Rule 54}. A mobile self-localization i"},"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":"1301.6258","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nlin.CG","submitted_at":"2013-01-26T14:16:55Z","cross_cats_sorted":[],"title_canon_sha256":"e51986b9250151bb67334a4e70c71963b9f3d3d9fd608dd1beccb6b3c665f08e","abstract_canon_sha256":"b9920b2e0d6fccbc46854141a28082599f9ee8fde9038a27a8b2ac01a7cff893"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:35:24.556899Z","signature_b64":"WHEkoqHQz/XYrIid00nZ1pcZQM0XM7XIm9HrvCZ70SnGxgvioFUb6CFYgJLN2srK5RIFOtc6/K2ALs/pdmCEBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b8cf5f6d0e68300817a37e05e090534dc4855c7c1dda8c21e4ebe394e4ced41","last_reissued_at":"2026-05-18T03:35:24.556348Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:35:24.556348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On Soliton Collisions between Localizations in Complex Elementary Cellular Automata: Rules 54 and 110 and Beyond","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"nlin.CG","authors_text":"Andrew Adamatzky, Fangyue Chen, Genaro J. Martinez, Leon Chua","submitted_at":"2013-01-26T14:16:55Z","abstract_excerpt":"In this paper we present a single-soliton two-component cellular automata (CA) model of waves as mobile self-localizations, also known as: particles, waves, or gliders; and its version with memory. The model is based on coding sets of strings where each chain represents a unique mobile self-localization. We will discuss briefly the original soliton models in CA proposed with {\\it filter automata}, followed by solutions in elementary CA (ECA) domain with the famous universal ECA {\\it Rule 110}, and reporting a number of new solitonic collisions in ECA {\\it Rule 54}. A mobile self-localization i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.6258","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":"1301.6258","created_at":"2026-05-18T03:35:24.556412+00:00"},{"alias_kind":"arxiv_version","alias_value":"1301.6258v1","created_at":"2026-05-18T03:35:24.556412+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.6258","created_at":"2026-05-18T03:35:24.556412+00:00"},{"alias_kind":"pith_short_12","alias_value":"HOGPL5WQ42BQ","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_16","alias_value":"HOGPL5WQ42BQBAL2","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_8","alias_value":"HOGPL5WQ","created_at":"2026-05-18T12:27:46.883200+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":2,"sample":[{"citing_arxiv_id":"2602.01651","citing_title":"On the Spatiotemporal Dynamics of Generalization in Neural Networks","ref_index":41,"is_internal_anchor":true},{"citing_arxiv_id":"2602.01651","citing_title":"On the Spatiotemporal Dynamics of Generalization in Neural Networks","ref_index":42,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HOGPL5WQ42BQBAL2G7QF4CIFGT","json":"https://pith.science/pith/HOGPL5WQ42BQBAL2G7QF4CIFGT.json","graph_json":"https://pith.science/api/pith-number/HOGPL5WQ42BQBAL2G7QF4CIFGT/graph.json","events_json":"https://pith.science/api/pith-number/HOGPL5WQ42BQBAL2G7QF4CIFGT/events.json","paper":"https://pith.science/paper/HOGPL5WQ"},"agent_actions":{"view_html":"https://pith.science/pith/HOGPL5WQ42BQBAL2G7QF4CIFGT","download_json":"https://pith.science/pith/HOGPL5WQ42BQBAL2G7QF4CIFGT.json","view_paper":"https://pith.science/paper/HOGPL5WQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1301.6258&json=true","fetch_graph":"https://pith.science/api/pith-number/HOGPL5WQ42BQBAL2G7QF4CIFGT/graph.json","fetch_events":"https://pith.science/api/pith-number/HOGPL5WQ42BQBAL2G7QF4CIFGT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HOGPL5WQ42BQBAL2G7QF4CIFGT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HOGPL5WQ42BQBAL2G7QF4CIFGT/action/storage_attestation","attest_author":"https://pith.science/pith/HOGPL5WQ42BQBAL2G7QF4CIFGT/action/author_attestation","sign_citation":"https://pith.science/pith/HOGPL5WQ42BQBAL2G7QF4CIFGT/action/citation_signature","submit_replication":"https://pith.science/pith/HOGPL5WQ42BQBAL2G7QF4CIFGT/action/replication_record"}},"created_at":"2026-05-18T03:35:24.556412+00:00","updated_at":"2026-05-18T03:35:24.556412+00:00"}