{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:SCZYA3OUJ5GKXOSWKFQXGQCRRK","short_pith_number":"pith:SCZYA3OU","canonical_record":{"source":{"id":"1304.3450","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:58:40Z","cross_cats_sorted":[],"title_canon_sha256":"84fd5fe6f010b70ff14ebd3661b40fd2a0a5a20b9ea2bd5e0ed515c4feb96391","abstract_canon_sha256":"e5311fb32aec8ac3ab7055f54fcc91f470e475c54b9507aec2424eb75b58e9f1"},"schema_version":"1.0"},"canonical_sha256":"90b3806dd44f4cabba5651617340518ab56700167ca53edce5e945f91d77f4f3","source":{"kind":"arxiv","id":"1304.3450","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.3450","created_at":"2026-05-18T03:28:07Z"},{"alias_kind":"arxiv_version","alias_value":"1304.3450v1","created_at":"2026-05-18T03:28:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.3450","created_at":"2026-05-18T03:28:07Z"},{"alias_kind":"pith_short_12","alias_value":"SCZYA3OUJ5GK","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_16","alias_value":"SCZYA3OUJ5GKXOSW","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_8","alias_value":"SCZYA3OU","created_at":"2026-05-18T12:27:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:SCZYA3OUJ5GKXOSWKFQXGQCRRK","target":"record","payload":{"canonical_record":{"source":{"id":"1304.3450","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:58:40Z","cross_cats_sorted":[],"title_canon_sha256":"84fd5fe6f010b70ff14ebd3661b40fd2a0a5a20b9ea2bd5e0ed515c4feb96391","abstract_canon_sha256":"e5311fb32aec8ac3ab7055f54fcc91f470e475c54b9507aec2424eb75b58e9f1"},"schema_version":"1.0"},"canonical_sha256":"90b3806dd44f4cabba5651617340518ab56700167ca53edce5e945f91d77f4f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:28:07.772299Z","signature_b64":"2pwOM/QvRda0EPEcappFMfq4KyDISudYQXHLocN1M/Pzow5vsScTp9/OSk7j/qlr9gLhYS/NatvvVWbSQ5kGBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"90b3806dd44f4cabba5651617340518ab56700167ca53edce5e945f91d77f4f3","last_reissued_at":"2026-05-18T03:28:07.771355Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:28:07.771355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1304.3450","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:28:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1MOuqQtpevPbz/1ewXubNPtQCQXwxlOGcClHDzn24G6p6sv1DQ5bzi8k0IZDJqjIP47n7p+o9GtmiXHcbcY/Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T07:57:06.578876Z"},"content_sha256":"1696bce50b8d15ad1675d1b18b69d05fcd7b503ba368e9547f9c65bfdb011b62","schema_version":"1.0","event_id":"sha256:1696bce50b8d15ad1675d1b18b69d05fcd7b503ba368e9547f9c65bfdb011b62"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:SCZYA3OUJ5GKXOSWKFQXGQCRRK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Probabilistic Conflict Resolution in Hierarchical Hypothesis Spaces","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Tod S. Levitt","submitted_at":"2013-03-27T19:58:40Z","abstract_excerpt":"Artificial intelligence applications such as industrial robotics, military surveillance, and hazardous environment clean-up, require situation understanding based on partial, uncertain, and ambiguous or erroneous evidence. It is necessary to evaluate the relative likelihood of multiple possible hypotheses of the (current) situation faced by the decision making program. Often, the evidence and hypotheses are hierarchical in nature. In image understanding tasks, for example, evidence begins with raw imagery, from which ambiguous features are extracted which have multiple possible aggregations pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.3450","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:28:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d7nGfQtI+AqzWYnLADkuUOfWl7Uw4L9J2cgsMBNSpPD0v8Vy8DBW0znu49eFn9L2jtLIH+fgAnyjNlV5UTVVAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T07:57:06.579549Z"},"content_sha256":"c7bd66e63637b870b56cbebefb95efaad40e5521011ba007c73ad40243906350","schema_version":"1.0","event_id":"sha256:c7bd66e63637b870b56cbebefb95efaad40e5521011ba007c73ad40243906350"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SCZYA3OUJ5GKXOSWKFQXGQCRRK/bundle.json","state_url":"https://pith.science/pith/SCZYA3OUJ5GKXOSWKFQXGQCRRK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SCZYA3OUJ5GKXOSWKFQXGQCRRK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-22T07:57:06Z","links":{"resolver":"https://pith.science/pith/SCZYA3OUJ5GKXOSWKFQXGQCRRK","bundle":"https://pith.science/pith/SCZYA3OUJ5GKXOSWKFQXGQCRRK/bundle.json","state":"https://pith.science/pith/SCZYA3OUJ5GKXOSWKFQXGQCRRK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SCZYA3OUJ5GKXOSWKFQXGQCRRK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:SCZYA3OUJ5GKXOSWKFQXGQCRRK","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"e5311fb32aec8ac3ab7055f54fcc91f470e475c54b9507aec2424eb75b58e9f1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:58:40Z","title_canon_sha256":"84fd5fe6f010b70ff14ebd3661b40fd2a0a5a20b9ea2bd5e0ed515c4feb96391"},"schema_version":"1.0","source":{"id":"1304.3450","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.3450","created_at":"2026-05-18T03:28:07Z"},{"alias_kind":"arxiv_version","alias_value":"1304.3450v1","created_at":"2026-05-18T03:28:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.3450","created_at":"2026-05-18T03:28:07Z"},{"alias_kind":"pith_short_12","alias_value":"SCZYA3OUJ5GK","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_16","alias_value":"SCZYA3OUJ5GKXOSW","created_at":"2026-05-18T12:27:59Z"},{"alias_kind":"pith_short_8","alias_value":"SCZYA3OU","created_at":"2026-05-18T12:27:59Z"}],"graph_snapshots":[{"event_id":"sha256:c7bd66e63637b870b56cbebefb95efaad40e5521011ba007c73ad40243906350","target":"graph","created_at":"2026-05-18T03:28:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Artificial intelligence applications such as industrial robotics, military surveillance, and hazardous environment clean-up, require situation understanding based on partial, uncertain, and ambiguous or erroneous evidence. It is necessary to evaluate the relative likelihood of multiple possible hypotheses of the (current) situation faced by the decision making program. Often, the evidence and hypotheses are hierarchical in nature. In image understanding tasks, for example, evidence begins with raw imagery, from which ambiguous features are extracted which have multiple possible aggregations pr","authors_text":"Tod S. Levitt","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:58:40Z","title":"Probabilistic Conflict Resolution in Hierarchical Hypothesis Spaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.3450","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1696bce50b8d15ad1675d1b18b69d05fcd7b503ba368e9547f9c65bfdb011b62","target":"record","created_at":"2026-05-18T03:28:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"e5311fb32aec8ac3ab7055f54fcc91f470e475c54b9507aec2424eb75b58e9f1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:58:40Z","title_canon_sha256":"84fd5fe6f010b70ff14ebd3661b40fd2a0a5a20b9ea2bd5e0ed515c4feb96391"},"schema_version":"1.0","source":{"id":"1304.3450","kind":"arxiv","version":1}},"canonical_sha256":"90b3806dd44f4cabba5651617340518ab56700167ca53edce5e945f91d77f4f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90b3806dd44f4cabba5651617340518ab56700167ca53edce5e945f91d77f4f3","first_computed_at":"2026-05-18T03:28:07.771355Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:28:07.771355Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2pwOM/QvRda0EPEcappFMfq4KyDISudYQXHLocN1M/Pzow5vsScTp9/OSk7j/qlr9gLhYS/NatvvVWbSQ5kGBw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:28:07.772299Z","signed_message":"canonical_sha256_bytes"},"source_id":"1304.3450","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1696bce50b8d15ad1675d1b18b69d05fcd7b503ba368e9547f9c65bfdb011b62","sha256:c7bd66e63637b870b56cbebefb95efaad40e5521011ba007c73ad40243906350"],"state_sha256":"02940ba480fa6aa2879697574073965b0527121f1c0899a0082b5c9a81b1e748"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G3ICx3cdHKrHcdfMGgZ5SJViLJLII4TiC3EiA18FOde8U160U7aB1XFp2dup6/0is6vGwFgr4p40ZPaaDexbCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T07:57:06.583436Z","bundle_sha256":"86cdd79ee91cb7464d2d34b74f44a24f4b6b20ed487156f4a4c3661393369217"}}