{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UWMBPV43GY4OIWKR7PZAKTMJW2","short_pith_number":"pith:UWMBPV43","canonical_record":{"source":{"id":"2403.07364","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-03-12T06:58:37Z","cross_cats_sorted":[],"title_canon_sha256":"9e7175a54c4e099edd6988bf8122e1cdbe11d440e28ec265a0440264ffb356ff","abstract_canon_sha256":"9b4bbebc12b4661b216083355769aad840d9863800e7e385879a2ad979553068"},"schema_version":"1.0"},"canonical_sha256":"a59817d79b3638e45951fbf2054d89b6978e19b3cb71277de3c46c52150835dc","source":{"kind":"arxiv","id":"2403.07364","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.07364","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"arxiv_version","alias_value":"2403.07364v1","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.07364","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"pith_short_12","alias_value":"UWMBPV43GY4O","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"pith_short_16","alias_value":"UWMBPV43GY4OIWKR","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"pith_short_8","alias_value":"UWMBPV43","created_at":"2026-07-05T07:55:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UWMBPV43GY4OIWKR7PZAKTMJW2","target":"record","payload":{"canonical_record":{"source":{"id":"2403.07364","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-03-12T06:58:37Z","cross_cats_sorted":[],"title_canon_sha256":"9e7175a54c4e099edd6988bf8122e1cdbe11d440e28ec265a0440264ffb356ff","abstract_canon_sha256":"9b4bbebc12b4661b216083355769aad840d9863800e7e385879a2ad979553068"},"schema_version":"1.0"},"canonical_sha256":"a59817d79b3638e45951fbf2054d89b6978e19b3cb71277de3c46c52150835dc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:55:02.540210Z","signature_b64":"pMTq51LYIrzneBTbHgy51Hx+GDPRNx5P+IACVPHGfiO/WfXLeWKw9sbqd7pUUmYqCt2ZfOrli3faaD1bU7PbCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a59817d79b3638e45951fbf2054d89b6978e19b3cb71277de3c46c52150835dc","last_reissued_at":"2026-07-05T07:55:02.539828Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:55:02.539828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.07364","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":"2026-07-05T07:55:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mIgXBUT+wmpW3cEBtWk+1TprSLCHmUpo8lJEYzQ7ut2HBivdodNc1GY4xAC7YJNHGrsDQ2dIhS0PQcFIi192AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:56:49.278406Z"},"content_sha256":"b8b897e4912f2caf1e4bb9d9fa863fca9dab4b58f578f82999a7ad21a53568dd","schema_version":"1.0","event_id":"sha256:b8b897e4912f2caf1e4bb9d9fa863fca9dab4b58f578f82999a7ad21a53568dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UWMBPV43GY4OIWKR7PZAKTMJW2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hybrid Kinetics Embedding Framework for Dynamic PET Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Huafeng Liu, Linwei Wang, Yubo Ye","submitted_at":"2024-03-12T06:58:37Z","abstract_excerpt":"In dynamic positron emission tomography (PET) reconstruction, the importance of leveraging the temporal dependence of the data has been well appreciated. Current deep-learning solutions can be categorized in two groups in the way the temporal dynamics is modeled: data-driven approaches use spatiotemporal neural networks to learn the temporal dynamics of tracer kinetics from data, which relies heavily on data supervision; physics-based approaches leverage \\textit{a priori} tracer kinetic models to focus on inferring their parameters, which relies heavily on the accuracy of the prior kinetic mod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.07364","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2403.07364/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":"2026-07-05T07:55:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QV0w0Djcs5rbJjg3M8didVuoBDykZBGYZabPcDBXsiSa0NkhMk2j2plSOMc7WIB7/G9ADgFFJ/J4xBve38U8CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:56:49.279072Z"},"content_sha256":"cff0c7fad98c438af2cff0f4115e753efbf55a0114a1c240a3af8457fbe71497","schema_version":"1.0","event_id":"sha256:cff0c7fad98c438af2cff0f4115e753efbf55a0114a1c240a3af8457fbe71497"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UWMBPV43GY4OIWKR7PZAKTMJW2/bundle.json","state_url":"https://pith.science/pith/UWMBPV43GY4OIWKR7PZAKTMJW2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UWMBPV43GY4OIWKR7PZAKTMJW2/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":"2026-08-19T18:56:49Z","links":{"resolver":"https://pith.science/pith/UWMBPV43GY4OIWKR7PZAKTMJW2","bundle":"https://pith.science/pith/UWMBPV43GY4OIWKR7PZAKTMJW2/bundle.json","state":"https://pith.science/pith/UWMBPV43GY4OIWKR7PZAKTMJW2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UWMBPV43GY4OIWKR7PZAKTMJW2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UWMBPV43GY4OIWKR7PZAKTMJW2","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":"9b4bbebc12b4661b216083355769aad840d9863800e7e385879a2ad979553068","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-03-12T06:58:37Z","title_canon_sha256":"9e7175a54c4e099edd6988bf8122e1cdbe11d440e28ec265a0440264ffb356ff"},"schema_version":"1.0","source":{"id":"2403.07364","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.07364","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"arxiv_version","alias_value":"2403.07364v1","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.07364","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"pith_short_12","alias_value":"UWMBPV43GY4O","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"pith_short_16","alias_value":"UWMBPV43GY4OIWKR","created_at":"2026-07-05T07:55:02Z"},{"alias_kind":"pith_short_8","alias_value":"UWMBPV43","created_at":"2026-07-05T07:55:02Z"}],"graph_snapshots":[{"event_id":"sha256:cff0c7fad98c438af2cff0f4115e753efbf55a0114a1c240a3af8457fbe71497","target":"graph","created_at":"2026-07-05T07:55:02Z","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/2403.07364/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In dynamic positron emission tomography (PET) reconstruction, the importance of leveraging the temporal dependence of the data has been well appreciated. Current deep-learning solutions can be categorized in two groups in the way the temporal dynamics is modeled: data-driven approaches use spatiotemporal neural networks to learn the temporal dynamics of tracer kinetics from data, which relies heavily on data supervision; physics-based approaches leverage \\textit{a priori} tracer kinetic models to focus on inferring their parameters, which relies heavily on the accuracy of the prior kinetic mod","authors_text":"Huafeng Liu, Linwei Wang, Yubo Ye","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-03-12T06:58:37Z","title":"Hybrid Kinetics Embedding Framework for Dynamic PET Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.07364","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:b8b897e4912f2caf1e4bb9d9fa863fca9dab4b58f578f82999a7ad21a53568dd","target":"record","created_at":"2026-07-05T07:55:02Z","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":"9b4bbebc12b4661b216083355769aad840d9863800e7e385879a2ad979553068","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-03-12T06:58:37Z","title_canon_sha256":"9e7175a54c4e099edd6988bf8122e1cdbe11d440e28ec265a0440264ffb356ff"},"schema_version":"1.0","source":{"id":"2403.07364","kind":"arxiv","version":1}},"canonical_sha256":"a59817d79b3638e45951fbf2054d89b6978e19b3cb71277de3c46c52150835dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a59817d79b3638e45951fbf2054d89b6978e19b3cb71277de3c46c52150835dc","first_computed_at":"2026-07-05T07:55:02.539828Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:55:02.539828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pMTq51LYIrzneBTbHgy51Hx+GDPRNx5P+IACVPHGfiO/WfXLeWKw9sbqd7pUUmYqCt2ZfOrli3faaD1bU7PbCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:55:02.540210Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.07364","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b8b897e4912f2caf1e4bb9d9fa863fca9dab4b58f578f82999a7ad21a53568dd","sha256:cff0c7fad98c438af2cff0f4115e753efbf55a0114a1c240a3af8457fbe71497"],"state_sha256":"988d4589c964bdd41edb73fe6da06e7f56da9d7cefe179944a0acc3424b93fec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GxIz6PryvKZ2Zj5P0AcIiv1tQXO3ssyDg4YgMJI5xLqAh7YMfVQU3ucfSppEirDzqKt2ByshP5HCIYGv5aNGBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T18:56:49.286326Z","bundle_sha256":"cd1ad5bbdd913fc06a209b4b0a90953be06cf8cfa31aeb07a33d72f38599e8b6"}}