{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:XFR7OA4SIB5P6KBMDW7RNU2DID","short_pith_number":"pith:XFR7OA4S","schema_version":"1.0","canonical_sha256":"b963f70392407aff282c1dbf16d34340f4b5276d0f6c98146bf2683e22f3374b","source":{"kind":"arxiv","id":"1304.0715","version":1},"attestation_state":"computed","paper":{"title":"A cookbook of translating English to Xapi","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Ladislau B\\\"ol\\\"oni","submitted_at":"2013-03-31T22:17:19Z","abstract_excerpt":"The Xapagy cognitive architecture had been designed to perform narrative reasoning: to model and mimic the activities performed by humans when witnessing, reading, recalling, narrating and talking about stories. Xapagy communicates with the outside world using Xapi, a simplified, \"pidgin\" language which is strongly tied to the internal representation model (instances, scenes and verb instances) and reasoning techniques (shadows and headless shadows). While not fully a semantic equivalent of natural language, Xapi can represent a wide range of complex stories. We illustrate the representation t"},"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":"1304.0715","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-31T22:17:19Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"343b20b854b900568091f36a655cebc2b43991fd20ff9af9bebf7229d0ec78ea","abstract_canon_sha256":"951c2eeb38d3c98460365425be2fd1ff1ff7a6375bae5a6827cd19b07b5f209c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:29:14.538802Z","signature_b64":"OZQV3BYKyVrfVBgLNfCrUqQZ9ZicA4fLb4HPK9HnljpW0sQ+fPsUORxQXUToa1O37wGaCDVEF0cGEPq48P3iDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b963f70392407aff282c1dbf16d34340f4b5276d0f6c98146bf2683e22f3374b","last_reissued_at":"2026-05-18T03:29:14.538225Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:29:14.538225Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A cookbook of translating English to Xapi","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Ladislau B\\\"ol\\\"oni","submitted_at":"2013-03-31T22:17:19Z","abstract_excerpt":"The Xapagy cognitive architecture had been designed to perform narrative reasoning: to model and mimic the activities performed by humans when witnessing, reading, recalling, narrating and talking about stories. Xapagy communicates with the outside world using Xapi, a simplified, \"pidgin\" language which is strongly tied to the internal representation model (instances, scenes and verb instances) and reasoning techniques (shadows and headless shadows). While not fully a semantic equivalent of natural language, Xapi can represent a wide range of complex stories. We illustrate the representation t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.0715","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":"1304.0715","created_at":"2026-05-18T03:29:14.538312+00:00"},{"alias_kind":"arxiv_version","alias_value":"1304.0715v1","created_at":"2026-05-18T03:29:14.538312+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.0715","created_at":"2026-05-18T03:29:14.538312+00:00"},{"alias_kind":"pith_short_12","alias_value":"XFR7OA4SIB5P","created_at":"2026-05-18T12:28:06.772260+00:00"},{"alias_kind":"pith_short_16","alias_value":"XFR7OA4SIB5P6KBM","created_at":"2026-05-18T12:28:06.772260+00:00"},{"alias_kind":"pith_short_8","alias_value":"XFR7OA4S","created_at":"2026-05-18T12:28:06.772260+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/XFR7OA4SIB5P6KBMDW7RNU2DID","json":"https://pith.science/pith/XFR7OA4SIB5P6KBMDW7RNU2DID.json","graph_json":"https://pith.science/api/pith-number/XFR7OA4SIB5P6KBMDW7RNU2DID/graph.json","events_json":"https://pith.science/api/pith-number/XFR7OA4SIB5P6KBMDW7RNU2DID/events.json","paper":"https://pith.science/paper/XFR7OA4S"},"agent_actions":{"view_html":"https://pith.science/pith/XFR7OA4SIB5P6KBMDW7RNU2DID","download_json":"https://pith.science/pith/XFR7OA4SIB5P6KBMDW7RNU2DID.json","view_paper":"https://pith.science/paper/XFR7OA4S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1304.0715&json=true","fetch_graph":"https://pith.science/api/pith-number/XFR7OA4SIB5P6KBMDW7RNU2DID/graph.json","fetch_events":"https://pith.science/api/pith-number/XFR7OA4SIB5P6KBMDW7RNU2DID/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XFR7OA4SIB5P6KBMDW7RNU2DID/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XFR7OA4SIB5P6KBMDW7RNU2DID/action/storage_attestation","attest_author":"https://pith.science/pith/XFR7OA4SIB5P6KBMDW7RNU2DID/action/author_attestation","sign_citation":"https://pith.science/pith/XFR7OA4SIB5P6KBMDW7RNU2DID/action/citation_signature","submit_replication":"https://pith.science/pith/XFR7OA4SIB5P6KBMDW7RNU2DID/action/replication_record"}},"created_at":"2026-05-18T03:29:14.538312+00:00","updated_at":"2026-05-18T03:29:14.538312+00:00"}