{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:XXHJK4KHAIYJTT3QBVI2RJJ63S","short_pith_number":"pith:XXHJK4KH","canonical_record":{"source":{"id":"2311.06139","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-10T15:56:52Z","cross_cats_sorted":[],"title_canon_sha256":"dad1c0811c0e2fbc3e9659b5d9860358a097a8b9ffbd9b89e6b7e00763fbe360","abstract_canon_sha256":"0d23e56de8c59164c72436cd02ecaef8bb841b7687571167ac2fe93eedcaf6a6"},"schema_version":"1.0"},"canonical_sha256":"bdce957147023099cf700d51a8a53edc8690436d0eb0d5f7f85930b4ca2ddf17","source":{"kind":"arxiv","id":"2311.06139","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.06139","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"arxiv_version","alias_value":"2311.06139v3","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.06139","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"pith_short_12","alias_value":"XXHJK4KHAIYJ","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"pith_short_16","alias_value":"XXHJK4KHAIYJTT3Q","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"pith_short_8","alias_value":"XXHJK4KH","created_at":"2026-05-25T02:01:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:XXHJK4KHAIYJTT3QBVI2RJJ63S","target":"record","payload":{"canonical_record":{"source":{"id":"2311.06139","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-10T15:56:52Z","cross_cats_sorted":[],"title_canon_sha256":"dad1c0811c0e2fbc3e9659b5d9860358a097a8b9ffbd9b89e6b7e00763fbe360","abstract_canon_sha256":"0d23e56de8c59164c72436cd02ecaef8bb841b7687571167ac2fe93eedcaf6a6"},"schema_version":"1.0"},"canonical_sha256":"bdce957147023099cf700d51a8a53edc8690436d0eb0d5f7f85930b4ca2ddf17","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:01:00.303558Z","signature_b64":"lSVrrODQe7kRbp8+Bjn9IF12ExplyY2UAII3UdUA3JK+oFQgkkl/sIKhqZIaM3WBAKn2eQEI+qhnk2TN7iCfBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bdce957147023099cf700d51a8a53edc8690436d0eb0d5f7f85930b4ca2ddf17","last_reissued_at":"2026-05-25T02:01:00.302744Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:01:00.302744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.06139","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-25T02:01:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VLVWnEqkkaTnENdR37oskeuzQtgwq1VeLcGqiMSs2A59PU+Nx1lfuse9uT9zcaYuKcnpNfSCP0A355c6X57fBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T23:36:50.882537Z"},"content_sha256":"f55477119d9653454461e456367803710ecb5dbf22aa69cdf0e73b0b9e605a42","schema_version":"1.0","event_id":"sha256:f55477119d9653454461e456367803710ecb5dbf22aa69cdf0e73b0b9e605a42"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:XXHJK4KHAIYJTT3QBVI2RJJ63S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Joint Object Tracking and Intent Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Bashar I. Ahmad, Jiaming Liang, Simon Godsill","submitted_at":"2023-11-10T15:56:52Z","abstract_excerpt":"This paper presents a Bayesian framework for inferring the posterior of the augmented state of a target, incorporating its underlying goal or intent, such as any intermediate waypoints and/or the final destination. Thus, it is for joint object tracking and intent recognition. Several latent intent models are proposed here within a virtual leader formulation. They capture the influence of the target's hidden goal on its instantaneous behaviour. In this context, various motion models, including for highly maneuvering objects, are also considered. The a priori unknown target intent (e.g. destinat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.06139","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2311.06139/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-05-25T02:01:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GO6jLuwyhDiv1QKbo6XNRq39wT+0g17ANaewJg1rsFkO0hZKibBNEBDFQ3nK6lh0DKeiVUTo7BzM4kXxP563Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T23:36:50.883188Z"},"content_sha256":"8070160c327b2eab5c905f7c7fbcc8d85c8b70fc3c44f316294cd8135ddab78d","schema_version":"1.0","event_id":"sha256:8070160c327b2eab5c905f7c7fbcc8d85c8b70fc3c44f316294cd8135ddab78d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XXHJK4KHAIYJTT3QBVI2RJJ63S/bundle.json","state_url":"https://pith.science/pith/XXHJK4KHAIYJTT3QBVI2RJJ63S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XXHJK4KHAIYJTT3QBVI2RJJ63S/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":"2026-06-11T23:36:50Z","links":{"resolver":"https://pith.science/pith/XXHJK4KHAIYJTT3QBVI2RJJ63S","bundle":"https://pith.science/pith/XXHJK4KHAIYJTT3QBVI2RJJ63S/bundle.json","state":"https://pith.science/pith/XXHJK4KHAIYJTT3QBVI2RJJ63S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XXHJK4KHAIYJTT3QBVI2RJJ63S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XXHJK4KHAIYJTT3QBVI2RJJ63S","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":"0d23e56de8c59164c72436cd02ecaef8bb841b7687571167ac2fe93eedcaf6a6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-10T15:56:52Z","title_canon_sha256":"dad1c0811c0e2fbc3e9659b5d9860358a097a8b9ffbd9b89e6b7e00763fbe360"},"schema_version":"1.0","source":{"id":"2311.06139","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.06139","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"arxiv_version","alias_value":"2311.06139v3","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.06139","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"pith_short_12","alias_value":"XXHJK4KHAIYJ","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"pith_short_16","alias_value":"XXHJK4KHAIYJTT3Q","created_at":"2026-05-25T02:01:00Z"},{"alias_kind":"pith_short_8","alias_value":"XXHJK4KH","created_at":"2026-05-25T02:01:00Z"}],"graph_snapshots":[{"event_id":"sha256:8070160c327b2eab5c905f7c7fbcc8d85c8b70fc3c44f316294cd8135ddab78d","target":"graph","created_at":"2026-05-25T02:01:00Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2311.06139/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a Bayesian framework for inferring the posterior of the augmented state of a target, incorporating its underlying goal or intent, such as any intermediate waypoints and/or the final destination. Thus, it is for joint object tracking and intent recognition. Several latent intent models are proposed here within a virtual leader formulation. They capture the influence of the target's hidden goal on its instantaneous behaviour. In this context, various motion models, including for highly maneuvering objects, are also considered. The a priori unknown target intent (e.g. destinat","authors_text":"Bashar I. Ahmad, Jiaming Liang, Simon Godsill","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-10T15:56:52Z","title":"Joint Object Tracking and Intent Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.06139","kind":"arxiv","version":3},"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:f55477119d9653454461e456367803710ecb5dbf22aa69cdf0e73b0b9e605a42","target":"record","created_at":"2026-05-25T02:01:00Z","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":"0d23e56de8c59164c72436cd02ecaef8bb841b7687571167ac2fe93eedcaf6a6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2023-11-10T15:56:52Z","title_canon_sha256":"dad1c0811c0e2fbc3e9659b5d9860358a097a8b9ffbd9b89e6b7e00763fbe360"},"schema_version":"1.0","source":{"id":"2311.06139","kind":"arxiv","version":3}},"canonical_sha256":"bdce957147023099cf700d51a8a53edc8690436d0eb0d5f7f85930b4ca2ddf17","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bdce957147023099cf700d51a8a53edc8690436d0eb0d5f7f85930b4ca2ddf17","first_computed_at":"2026-05-25T02:01:00.302744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:00.302744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lSVrrODQe7kRbp8+Bjn9IF12ExplyY2UAII3UdUA3JK+oFQgkkl/sIKhqZIaM3WBAKn2eQEI+qhnk2TN7iCfBw==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:00.303558Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.06139","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f55477119d9653454461e456367803710ecb5dbf22aa69cdf0e73b0b9e605a42","sha256:8070160c327b2eab5c905f7c7fbcc8d85c8b70fc3c44f316294cd8135ddab78d"],"state_sha256":"df54be244bbe162b73ee296a43879f019e40c4421b0d2dcb4ff08119f3d233f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EZ/RINr84v6kDzxnC6ugg2JqUjw8x3hMqExiEjDu36I3p9qAvDPXN/T1PUZ5lJ++6RIDRlSdvZnQN1f6ru0NAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T23:36:50.888046Z","bundle_sha256":"0d44e69a6090d1cbc48d0fd18a087e5816788b28fdd26552b72f40c9a98dc17d"}}