{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LRVCYG5CSZTDB3QSO4EKNZRDH7","short_pith_number":"pith:LRVCYG5C","canonical_record":{"source":{"id":"2403.02877","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T11:39:07Z","cross_cats_sorted":["cs.AI","cs.RO"],"title_canon_sha256":"543928a65f952209cfbd26553b8c9b50cd6de683ed6ce7d30cac4bf43f11d688","abstract_canon_sha256":"29d0ddb69b4c2561ce22df42b3bbbf95bbccee4f00c9c467232064189fda164a"},"schema_version":"1.0"},"canonical_sha256":"5c6a2c1ba2966630ee127708a6e6233fcbd1395baa9440bbb8dea843fde847da","source":{"kind":"arxiv","id":"2403.02877","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.02877","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"arxiv_version","alias_value":"2403.02877v1","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.02877","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"pith_short_12","alias_value":"LRVCYG5CSZTD","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"pith_short_16","alias_value":"LRVCYG5CSZTDB3QS","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"pith_short_8","alias_value":"LRVCYG5C","created_at":"2026-07-05T07:52:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LRVCYG5CSZTDB3QSO4EKNZRDH7","target":"record","payload":{"canonical_record":{"source":{"id":"2403.02877","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T11:39:07Z","cross_cats_sorted":["cs.AI","cs.RO"],"title_canon_sha256":"543928a65f952209cfbd26553b8c9b50cd6de683ed6ce7d30cac4bf43f11d688","abstract_canon_sha256":"29d0ddb69b4c2561ce22df42b3bbbf95bbccee4f00c9c467232064189fda164a"},"schema_version":"1.0"},"canonical_sha256":"5c6a2c1ba2966630ee127708a6e6233fcbd1395baa9440bbb8dea843fde847da","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:52:23.761160Z","signature_b64":"CV9KnozysJBFcbWiJx0+LYRw9GQb1Mg8YZZ2H/sTgv00E6+xnwqxpOk+lf9wEVvBSoRFLBQ0ghbCOSGCP5RnBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c6a2c1ba2966630ee127708a6e6233fcbd1395baa9440bbb8dea843fde847da","last_reissued_at":"2026-07-05T07:52:23.760658Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:52:23.760658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.02877","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":"2026-07-05T07:52:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uXzl9XRI5nJGdziDOYkHowYSIdWXRMWDAMJogHh0KI0YOPoZLdkMQKFrh/WJWNtVls7MJvzxDlMo98kD1E6FDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T14:05:51.470104Z"},"content_sha256":"34bc2e102d257de0894775e69d80765e073ede815ecbe9d0bf903b153fc96ef8","schema_version":"1.0","event_id":"sha256:34bc2e102d257de0894775e69d80765e073ede815ecbe9d0bf903b153fc96ef8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LRVCYG5CSZTDB3QSO4EKNZRDH7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.RO"],"primary_cat":"cs.CV","authors_text":"Han Lu, Junchi Yan, Wenlong Liao, Xiaokang Yang, Xiaosong Jia, Yichen Xie","submitted_at":"2024-03-05T11:39:07Z","abstract_excerpt":"End-to-end differentiable learning for autonomous driving (AD) has recently become a prominent paradigm. One main bottleneck lies in its voracious appetite for high-quality labeled data e.g. 3D bounding boxes and semantic segmentation, which are notoriously expensive to manually annotate. The difficulty is further pronounced due to the prominent fact that the behaviors within samples in AD often suffer from long tailed distribution. In other words, a large part of collected data can be trivial (e.g. simply driving forward in a straight road) and only a few cases are safety-critical. In this pa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.02877","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/2403.02877/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":"2026-07-05T07:52:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TNpiKrSM8ZXpKi6c/sun47KLiWm37/TdT5C6CAs61pGkrriXZ4J4ORAJzTilJPGyhMhQyLTXbrZr5yeikyOfAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T14:05:51.470798Z"},"content_sha256":"062cd7a50cc8efe93537b07b750c638677fb3ab7ff6341255c168e4a6c8fd26e","schema_version":"1.0","event_id":"sha256:062cd7a50cc8efe93537b07b750c638677fb3ab7ff6341255c168e4a6c8fd26e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LRVCYG5CSZTDB3QSO4EKNZRDH7/bundle.json","state_url":"https://pith.science/pith/LRVCYG5CSZTDB3QSO4EKNZRDH7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LRVCYG5CSZTDB3QSO4EKNZRDH7/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":"2026-08-07T14:05:51Z","links":{"resolver":"https://pith.science/pith/LRVCYG5CSZTDB3QSO4EKNZRDH7","bundle":"https://pith.science/pith/LRVCYG5CSZTDB3QSO4EKNZRDH7/bundle.json","state":"https://pith.science/pith/LRVCYG5CSZTDB3QSO4EKNZRDH7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LRVCYG5CSZTDB3QSO4EKNZRDH7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LRVCYG5CSZTDB3QSO4EKNZRDH7","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":"29d0ddb69b4c2561ce22df42b3bbbf95bbccee4f00c9c467232064189fda164a","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T11:39:07Z","title_canon_sha256":"543928a65f952209cfbd26553b8c9b50cd6de683ed6ce7d30cac4bf43f11d688"},"schema_version":"1.0","source":{"id":"2403.02877","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.02877","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"arxiv_version","alias_value":"2403.02877v1","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.02877","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"pith_short_12","alias_value":"LRVCYG5CSZTD","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"pith_short_16","alias_value":"LRVCYG5CSZTDB3QS","created_at":"2026-07-05T07:52:23Z"},{"alias_kind":"pith_short_8","alias_value":"LRVCYG5C","created_at":"2026-07-05T07:52:23Z"}],"graph_snapshots":[{"event_id":"sha256:062cd7a50cc8efe93537b07b750c638677fb3ab7ff6341255c168e4a6c8fd26e","target":"graph","created_at":"2026-07-05T07:52:23Z","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/2403.02877/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"End-to-end differentiable learning for autonomous driving (AD) has recently become a prominent paradigm. One main bottleneck lies in its voracious appetite for high-quality labeled data e.g. 3D bounding boxes and semantic segmentation, which are notoriously expensive to manually annotate. The difficulty is further pronounced due to the prominent fact that the behaviors within samples in AD often suffer from long tailed distribution. In other words, a large part of collected data can be trivial (e.g. simply driving forward in a straight road) and only a few cases are safety-critical. In this pa","authors_text":"Han Lu, Junchi Yan, Wenlong Liao, Xiaokang Yang, Xiaosong Jia, Yichen Xie","cross_cats":["cs.AI","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T11:39:07Z","title":"ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.02877","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":"sha256:34bc2e102d257de0894775e69d80765e073ede815ecbe9d0bf903b153fc96ef8","target":"record","created_at":"2026-07-05T07:52:23Z","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":"29d0ddb69b4c2561ce22df42b3bbbf95bbccee4f00c9c467232064189fda164a","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-05T11:39:07Z","title_canon_sha256":"543928a65f952209cfbd26553b8c9b50cd6de683ed6ce7d30cac4bf43f11d688"},"schema_version":"1.0","source":{"id":"2403.02877","kind":"arxiv","version":1}},"canonical_sha256":"5c6a2c1ba2966630ee127708a6e6233fcbd1395baa9440bbb8dea843fde847da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c6a2c1ba2966630ee127708a6e6233fcbd1395baa9440bbb8dea843fde847da","first_computed_at":"2026-07-05T07:52:23.760658Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:52:23.760658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CV9KnozysJBFcbWiJx0+LYRw9GQb1Mg8YZZ2H/sTgv00E6+xnwqxpOk+lf9wEVvBSoRFLBQ0ghbCOSGCP5RnBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:52:23.761160Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.02877","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34bc2e102d257de0894775e69d80765e073ede815ecbe9d0bf903b153fc96ef8","sha256:062cd7a50cc8efe93537b07b750c638677fb3ab7ff6341255c168e4a6c8fd26e"],"state_sha256":"fdfb58447f2570e44b1d109a7b5c65249a88b754dfd0cd2927ab77fea9f1f0b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6EHvz2R8mF+oIWOFQ0+Tgy7C9ea6bIp0D98bGILTeRQB7A97Hik0sxBWAb/UamsNifnNHpk5mZhTxWyW40n3DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T14:05:51.475383Z","bundle_sha256":"f01e1b2b957782fb1ca7b86f645597f74756b4e88ebcba56cad99f34d455adb2"}}