{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IO6KZ4RVG4RJI4SZJFIGFHIRUY","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":"c96ed4be3126352d6b939b48553d1d998cb59ab04849f7a05b92b4da2722eeb3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-20T22:48:05Z","title_canon_sha256":"d8ebf959b551b5dae631ba948e650ca3849f7b1bd1d0d4c78fdc19072cb7a935"},"schema_version":"1.0","source":{"id":"2204.09804","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.09804","created_at":"2026-07-05T08:54:35Z"},{"alias_kind":"arxiv_version","alias_value":"2204.09804v4","created_at":"2026-07-05T08:54:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.09804","created_at":"2026-07-05T08:54:35Z"},{"alias_kind":"pith_short_12","alias_value":"IO6KZ4RVG4RJ","created_at":"2026-07-05T08:54:35Z"},{"alias_kind":"pith_short_16","alias_value":"IO6KZ4RVG4RJI4SZ","created_at":"2026-07-05T08:54:35Z"},{"alias_kind":"pith_short_8","alias_value":"IO6KZ4RV","created_at":"2026-07-05T08:54:35Z"}],"graph_snapshots":[{"event_id":"sha256:86c3e81fc9b9227491979b0a3c9f448bda311ca4d3756c3c69f6168fb5cd9861","target":"graph","created_at":"2026-07-05T08:54:35Z","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/2204.09804/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background modeling is widely used for intelligent surveillance systems to detect moving targets by subtracting the static background components. Most roadside LiDAR object detection methods filter out foreground points by comparing new data points to pre-trained background references based on descriptive statistics over many frames (e.g., voxel density, number of neighbors, maximum distance). However, these solutions are inefficient under heavy traffic, and parameter values are hard to transfer from one scenario to another. In early studies, the probabilistic background modeling methods widel","authors_text":"Peter J. Jin, Tianya Zhang, Yi Ge","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-20T22:48:05Z","title":"Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.09804","kind":"arxiv","version":4},"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":"sha256:1c439f643d28b8c499d611201ffd4f9f9e7605feaae93d73235af7f0811f8530","target":"record","created_at":"2026-07-05T08:54:35Z","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":"c96ed4be3126352d6b939b48553d1d998cb59ab04849f7a05b92b4da2722eeb3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-20T22:48:05Z","title_canon_sha256":"d8ebf959b551b5dae631ba948e650ca3849f7b1bd1d0d4c78fdc19072cb7a935"},"schema_version":"1.0","source":{"id":"2204.09804","kind":"arxiv","version":4}},"canonical_sha256":"43bcacf23537229472594950629d11a63e40a918d382308b413d4fa052fe7daf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43bcacf23537229472594950629d11a63e40a918d382308b413d4fa052fe7daf","first_computed_at":"2026-07-05T08:54:35.194922Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:35.194922Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Hhfk8qhHNd9zA/jUXZe2s+H3cRcFoEkZFzJtNCbsqyAdiksUoaMsCZhP5PbxOt7MeoMUdQrT3iJFRUPRtRBJDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:35.195328Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.09804","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c439f643d28b8c499d611201ffd4f9f9e7605feaae93d73235af7f0811f8530","sha256:86c3e81fc9b9227491979b0a3c9f448bda311ca4d3756c3c69f6168fb5cd9861"],"state_sha256":"5f328d0d15b7551bc7c4b07ca063c1a22372568d6ecd735cf48e1d2cea509719"}