{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:HFZ7MZBAQK2XXI6YYTOQ6NBYJK","short_pith_number":"pith:HFZ7MZBA","canonical_record":{"source":{"id":"1309.7315","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2013-09-08T17:31:23Z","cross_cats_sorted":[],"title_canon_sha256":"9fce985d8b7cbc527587622443ce482fa0b0ec67ffc0f8b49418e934ff9b83df","abstract_canon_sha256":"46a3d95dbc52d797603e5e475bd1852c71c21ec16a43445bd4c2cdd92568c826"},"schema_version":"1.0"},"canonical_sha256":"3973f6642082b57ba3d8c4dd0f34384a9e833b30737e0798bcebd238db5a6339","source":{"kind":"arxiv","id":"1309.7315","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1309.7315","created_at":"2026-05-18T03:11:59Z"},{"alias_kind":"arxiv_version","alias_value":"1309.7315v1","created_at":"2026-05-18T03:11:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1309.7315","created_at":"2026-05-18T03:11:59Z"},{"alias_kind":"pith_short_12","alias_value":"HFZ7MZBAQK2X","created_at":"2026-05-18T12:27:46Z"},{"alias_kind":"pith_short_16","alias_value":"HFZ7MZBAQK2XXI6Y","created_at":"2026-05-18T12:27:46Z"},{"alias_kind":"pith_short_8","alias_value":"HFZ7MZBA","created_at":"2026-05-18T12:27:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:HFZ7MZBAQK2XXI6YYTOQ6NBYJK","target":"record","payload":{"canonical_record":{"source":{"id":"1309.7315","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2013-09-08T17:31:23Z","cross_cats_sorted":[],"title_canon_sha256":"9fce985d8b7cbc527587622443ce482fa0b0ec67ffc0f8b49418e934ff9b83df","abstract_canon_sha256":"46a3d95dbc52d797603e5e475bd1852c71c21ec16a43445bd4c2cdd92568c826"},"schema_version":"1.0"},"canonical_sha256":"3973f6642082b57ba3d8c4dd0f34384a9e833b30737e0798bcebd238db5a6339","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:11:59.571145Z","signature_b64":"g/Mz2gaTXO4xYlPzgZ796ajscmlQbpPcOTyka+NPE6GP9tl53AFxHfZ4x13a3MB0fnsVOVS1Btwp/Ym44GoVDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3973f6642082b57ba3d8c4dd0f34384a9e833b30737e0798bcebd238db5a6339","last_reissued_at":"2026-05-18T03:11:59.570493Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:11:59.570493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1309.7315","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":"2026-05-18T03:11:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uzmfhifAInoH8bzcQAtSq6BRVELSzS4NNXDrGRXp2yWR/L1xJi9bYJOD2aatrv8LOoI6EOvC11j0vHBK+l1wDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:51:38.901175Z"},"content_sha256":"3b4675e9427c922e01dc0d1e27117403315fa84ac4fbbbf41836b98baef4c455","schema_version":"1.0","event_id":"sha256:3b4675e9427c922e01dc0d1e27117403315fa84ac4fbbbf41836b98baef4c455"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:HFZ7MZBAQK2XXI6YYTOQ6NBYJK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Nonlinear Compressive Particle Filtering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Henrik Ohlsson, Michel Verhaegen, S. Shankar Sastry","submitted_at":"2013-09-08T17:31:23Z","abstract_excerpt":"Many systems for which compressive sensing is used today are dynamical. The common approach is to neglect the dynamics and see the problem as a sequence of independent problems. This approach has two disadvantages. Firstly, the temporal dependency in the state could be used to improve the accuracy of the state estimates. Secondly, having an estimate for the state and its support could be used to reduce the computational load of the subsequent step. In the linear Gaussian setting, compressive sensing was recently combined with the Kalman filter to mitigate above disadvantages. In the nonlinear "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1309.7315","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":"2026-05-18T03:11:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PYiiAucReHm8YZlZThXAkMVf4O2moC3fuoILy++eK813oTESj1Pu49+Df9qATj9beUxZ7J7wFXXPZjemxo36CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:51:38.901866Z"},"content_sha256":"206d327c394a172dd775b040411e532afa0192750d44fd0ada8a68de66567ff1","schema_version":"1.0","event_id":"sha256:206d327c394a172dd775b040411e532afa0192750d44fd0ada8a68de66567ff1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HFZ7MZBAQK2XXI6YYTOQ6NBYJK/bundle.json","state_url":"https://pith.science/pith/HFZ7MZBAQK2XXI6YYTOQ6NBYJK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HFZ7MZBAQK2XXI6YYTOQ6NBYJK/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":"2026-05-27T04:51:38Z","links":{"resolver":"https://pith.science/pith/HFZ7MZBAQK2XXI6YYTOQ6NBYJK","bundle":"https://pith.science/pith/HFZ7MZBAQK2XXI6YYTOQ6NBYJK/bundle.json","state":"https://pith.science/pith/HFZ7MZBAQK2XXI6YYTOQ6NBYJK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HFZ7MZBAQK2XXI6YYTOQ6NBYJK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:HFZ7MZBAQK2XXI6YYTOQ6NBYJK","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":"46a3d95dbc52d797603e5e475bd1852c71c21ec16a43445bd4c2cdd92568c826","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2013-09-08T17:31:23Z","title_canon_sha256":"9fce985d8b7cbc527587622443ce482fa0b0ec67ffc0f8b49418e934ff9b83df"},"schema_version":"1.0","source":{"id":"1309.7315","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1309.7315","created_at":"2026-05-18T03:11:59Z"},{"alias_kind":"arxiv_version","alias_value":"1309.7315v1","created_at":"2026-05-18T03:11:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1309.7315","created_at":"2026-05-18T03:11:59Z"},{"alias_kind":"pith_short_12","alias_value":"HFZ7MZBAQK2X","created_at":"2026-05-18T12:27:46Z"},{"alias_kind":"pith_short_16","alias_value":"HFZ7MZBAQK2XXI6Y","created_at":"2026-05-18T12:27:46Z"},{"alias_kind":"pith_short_8","alias_value":"HFZ7MZBA","created_at":"2026-05-18T12:27:46Z"}],"graph_snapshots":[{"event_id":"sha256:206d327c394a172dd775b040411e532afa0192750d44fd0ada8a68de66567ff1","target":"graph","created_at":"2026-05-18T03:11:59Z","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":"Many systems for which compressive sensing is used today are dynamical. The common approach is to neglect the dynamics and see the problem as a sequence of independent problems. This approach has two disadvantages. Firstly, the temporal dependency in the state could be used to improve the accuracy of the state estimates. Secondly, having an estimate for the state and its support could be used to reduce the computational load of the subsequent step. In the linear Gaussian setting, compressive sensing was recently combined with the Kalman filter to mitigate above disadvantages. In the nonlinear ","authors_text":"Henrik Ohlsson, Michel Verhaegen, S. Shankar Sastry","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2013-09-08T17:31:23Z","title":"Nonlinear Compressive Particle Filtering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1309.7315","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":"sha256:3b4675e9427c922e01dc0d1e27117403315fa84ac4fbbbf41836b98baef4c455","target":"record","created_at":"2026-05-18T03:11:59Z","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":"46a3d95dbc52d797603e5e475bd1852c71c21ec16a43445bd4c2cdd92568c826","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2013-09-08T17:31:23Z","title_canon_sha256":"9fce985d8b7cbc527587622443ce482fa0b0ec67ffc0f8b49418e934ff9b83df"},"schema_version":"1.0","source":{"id":"1309.7315","kind":"arxiv","version":1}},"canonical_sha256":"3973f6642082b57ba3d8c4dd0f34384a9e833b30737e0798bcebd238db5a6339","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3973f6642082b57ba3d8c4dd0f34384a9e833b30737e0798bcebd238db5a6339","first_computed_at":"2026-05-18T03:11:59.570493Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:11:59.570493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g/Mz2gaTXO4xYlPzgZ796ajscmlQbpPcOTyka+NPE6GP9tl53AFxHfZ4x13a3MB0fnsVOVS1Btwp/Ym44GoVDA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:11:59.571145Z","signed_message":"canonical_sha256_bytes"},"source_id":"1309.7315","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3b4675e9427c922e01dc0d1e27117403315fa84ac4fbbbf41836b98baef4c455","sha256:206d327c394a172dd775b040411e532afa0192750d44fd0ada8a68de66567ff1"],"state_sha256":"5b467c8136798e9453d20b9c4bab0d4a108eec9bfe692ca137cb0776d16f4efd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yDNxyYAzm4vswbiSBDO6H5O/ildb1Kz1rilGUDQlPju9QDgAgpTd5hweA8r6hl4hIzBqmUEfK8b+1Cby/g+5BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T04:51:38.905353Z","bundle_sha256":"53d3d8264155ce5aa2c4c1d58678c831c1db51792d47de7ceef1f00d12358aa6"}}