{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:B2VA4XUJSYHQS6FXHDG3XLAFOF","short_pith_number":"pith:B2VA4XUJ","canonical_record":{"source":{"id":"2012.05894","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T18:55:51Z","cross_cats_sorted":["cs.AI","cs.LG","cs.MA","cs.RO"],"title_canon_sha256":"8181af28dbfa6ece9659452a6b715bf52c87c96eda2024bc0161736cf24891ca","abstract_canon_sha256":"b6845ef1e5d91e29432549bc607e645e81b6b92f2bca7c07629b131b88ec9fc6"},"schema_version":"1.0"},"canonical_sha256":"0eaa0e5e89960f0978b738cdbbac05714edfe1e5571fc0b79887a50f6192ae12","source":{"kind":"arxiv","id":"2012.05894","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.05894","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"arxiv_version","alias_value":"2012.05894v1","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.05894","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"pith_short_12","alias_value":"B2VA4XUJSYHQ","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"pith_short_16","alias_value":"B2VA4XUJSYHQS6FX","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"pith_short_8","alias_value":"B2VA4XUJ","created_at":"2026-07-05T01:58:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:B2VA4XUJSYHQS6FXHDG3XLAFOF","target":"record","payload":{"canonical_record":{"source":{"id":"2012.05894","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T18:55:51Z","cross_cats_sorted":["cs.AI","cs.LG","cs.MA","cs.RO"],"title_canon_sha256":"8181af28dbfa6ece9659452a6b715bf52c87c96eda2024bc0161736cf24891ca","abstract_canon_sha256":"b6845ef1e5d91e29432549bc607e645e81b6b92f2bca7c07629b131b88ec9fc6"},"schema_version":"1.0"},"canonical_sha256":"0eaa0e5e89960f0978b738cdbbac05714edfe1e5571fc0b79887a50f6192ae12","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:58:38.001486Z","signature_b64":"wO1A0mgVl8DTVqaFZS+jmvrvfc3vt1MeoBQa4VvMr0FPJys4aP6O3b3o4iWq2WHllQTwzmM2Y51NX5tfqoNiBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0eaa0e5e89960f0978b738cdbbac05714edfe1e5571fc0b79887a50f6192ae12","last_reissued_at":"2026-07-05T01:58:38.001062Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:58:38.001062Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.05894","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":"2026-07-05T01:58:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dvFR8a91GCsrxjy6A/Qxmv8g2NXtD7a1PdpsULBxSihjSNAI6UZ6Y0rdajRVgqtcfqzLdv71MwyywYlmIssJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:49:07.577673Z"},"content_sha256":"b436f6afa2f7c39f6ceded5c0f51c42647e43b31af212b27b64f8ccf5f82a74e","schema_version":"1.0","event_id":"sha256:b436f6afa2f7c39f6ceded5c0f51c42647e43b31af212b27b64f8ccf5f82a74e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:B2VA4XUJSYHQS6FXHDG3XLAFOF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.MA","cs.RO"],"primary_cat":"cs.CV","authors_text":"Kris Kitani, Xinshuo Weng","submitted_at":"2020-12-10T18:55:51Z","abstract_excerpt":"3D multi-object tracking is an important component in robotic perception systems such as self-driving vehicles. Recent work follows a tracking-by-detection pipeline, which aims to match past tracklets with detections in the current frame. To avoid matching with false positive detections, prior work filters out detections with low confidence scores via a threshold. However, finding a proper threshold is non-trivial, which requires extensive manual search via ablation study. Also, this threshold is sensitive to many factors such as target object category so we need to re-search the threshold if "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.05894","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/2012.05894/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":"2026-07-05T01:58:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sRPY/1bseazHckfecAxIwhTWOfHWzP1NExCnxPSHkA+M9TnlOHcBnCsDU26sIkVLrK1+tQg4tjoYKoxd3+LHAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:49:07.578056Z"},"content_sha256":"deb11197294455356a7cf181c211502c237dcafdbbf22f4b511815d0b0f7c5b5","schema_version":"1.0","event_id":"sha256:deb11197294455356a7cf181c211502c237dcafdbbf22f4b511815d0b0f7c5b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B2VA4XUJSYHQS6FXHDG3XLAFOF/bundle.json","state_url":"https://pith.science/pith/B2VA4XUJSYHQS6FXHDG3XLAFOF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B2VA4XUJSYHQS6FXHDG3XLAFOF/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":"2026-07-07T12:49:07Z","links":{"resolver":"https://pith.science/pith/B2VA4XUJSYHQS6FXHDG3XLAFOF","bundle":"https://pith.science/pith/B2VA4XUJSYHQS6FXHDG3XLAFOF/bundle.json","state":"https://pith.science/pith/B2VA4XUJSYHQS6FXHDG3XLAFOF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B2VA4XUJSYHQS6FXHDG3XLAFOF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:B2VA4XUJSYHQS6FXHDG3XLAFOF","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":"b6845ef1e5d91e29432549bc607e645e81b6b92f2bca7c07629b131b88ec9fc6","cross_cats_sorted":["cs.AI","cs.LG","cs.MA","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T18:55:51Z","title_canon_sha256":"8181af28dbfa6ece9659452a6b715bf52c87c96eda2024bc0161736cf24891ca"},"schema_version":"1.0","source":{"id":"2012.05894","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.05894","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"arxiv_version","alias_value":"2012.05894v1","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.05894","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"pith_short_12","alias_value":"B2VA4XUJSYHQ","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"pith_short_16","alias_value":"B2VA4XUJSYHQS6FX","created_at":"2026-07-05T01:58:38Z"},{"alias_kind":"pith_short_8","alias_value":"B2VA4XUJ","created_at":"2026-07-05T01:58:38Z"}],"graph_snapshots":[{"event_id":"sha256:deb11197294455356a7cf181c211502c237dcafdbbf22f4b511815d0b0f7c5b5","target":"graph","created_at":"2026-07-05T01:58:38Z","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/2012.05894/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D multi-object tracking is an important component in robotic perception systems such as self-driving vehicles. Recent work follows a tracking-by-detection pipeline, which aims to match past tracklets with detections in the current frame. To avoid matching with false positive detections, prior work filters out detections with low confidence scores via a threshold. However, finding a proper threshold is non-trivial, which requires extensive manual search via ablation study. Also, this threshold is sensitive to many factors such as target object category so we need to re-search the threshold if ","authors_text":"Kris Kitani, Xinshuo Weng","cross_cats":["cs.AI","cs.LG","cs.MA","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T18:55:51Z","title":"AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.05894","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:b436f6afa2f7c39f6ceded5c0f51c42647e43b31af212b27b64f8ccf5f82a74e","target":"record","created_at":"2026-07-05T01:58:38Z","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":"b6845ef1e5d91e29432549bc607e645e81b6b92f2bca7c07629b131b88ec9fc6","cross_cats_sorted":["cs.AI","cs.LG","cs.MA","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T18:55:51Z","title_canon_sha256":"8181af28dbfa6ece9659452a6b715bf52c87c96eda2024bc0161736cf24891ca"},"schema_version":"1.0","source":{"id":"2012.05894","kind":"arxiv","version":1}},"canonical_sha256":"0eaa0e5e89960f0978b738cdbbac05714edfe1e5571fc0b79887a50f6192ae12","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0eaa0e5e89960f0978b738cdbbac05714edfe1e5571fc0b79887a50f6192ae12","first_computed_at":"2026-07-05T01:58:38.001062Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:58:38.001062Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wO1A0mgVl8DTVqaFZS+jmvrvfc3vt1MeoBQa4VvMr0FPJys4aP6O3b3o4iWq2WHllQTwzmM2Y51NX5tfqoNiBA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:58:38.001486Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.05894","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b436f6afa2f7c39f6ceded5c0f51c42647e43b31af212b27b64f8ccf5f82a74e","sha256:deb11197294455356a7cf181c211502c237dcafdbbf22f4b511815d0b0f7c5b5"],"state_sha256":"dd7afb2e3d05a6376bc8aaa3f92d22cf8ecfb3b12249a43527533bca0ca1e1df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pPMrb4IgnJ8TPtOeGjFSTEcr7eUl9gFwenyVdmAT0NkkodcwXq6NFZjC0arnwqs8L3OL+swz2HC6ulJxunViCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:49:07.580043Z","bundle_sha256":"f9f519bb6f876e74065f480675dd66f0cd3035ea598e888e9c356dae6f23952c"}}