{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YYFF7G2FHZI4R6TNHLBURPKKFJ","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":"018156adb03e72f355cc21a615208f5b740cd314186875b6b77ff604486e242b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T13:24:55Z","title_canon_sha256":"6c33fc317a0e2dc93efc9a3bafff539a4d93b9a236b950162433026378ad1950"},"schema_version":"1.0","source":{"id":"2505.00507","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00507","created_at":"2026-07-05T10:58:47Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00507v2","created_at":"2026-07-05T10:58:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00507","created_at":"2026-07-05T10:58:47Z"},{"alias_kind":"pith_short_12","alias_value":"YYFF7G2FHZI4","created_at":"2026-07-05T10:58:47Z"},{"alias_kind":"pith_short_16","alias_value":"YYFF7G2FHZI4R6TN","created_at":"2026-07-05T10:58:47Z"},{"alias_kind":"pith_short_8","alias_value":"YYFF7G2F","created_at":"2026-07-05T10:58:47Z"}],"graph_snapshots":[{"event_id":"sha256:ab5c3d95d0feb40c77c9a96f0c178297fa2adc623430bfd1c1a77a0abbbdea50","target":"graph","created_at":"2026-07-05T10:58:47Z","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/2505.00507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Active Learning has proved to be a relevant approach to perform sample selection for training models for Autonomous Driving. Particularly, previous works on active learning for 3D object detection have shown that selection of samples in uncontrolled scenarios is challenging. Furthermore, current approaches focus exclusively on the theoretical aspects of the sample selection problem but neglect the practical insights that can be obtained from the extensive literature and application of 3D detection models. In this paper, we introduce HeAL (Heuristical-enhanced Active Learning for 3D Object Dete","authors_text":"Esteban Rivera, Markus Lienkamp, Surya Prabhakaran","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T13:24:55Z","title":"HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00507","kind":"arxiv","version":2},"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":"sha256:3f4dc63406d525f7f36ec819691eaa84f5e617c245f9169970b7f6545d80ae56","target":"record","created_at":"2026-07-05T10:58:47Z","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":"018156adb03e72f355cc21a615208f5b740cd314186875b6b77ff604486e242b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T13:24:55Z","title_canon_sha256":"6c33fc317a0e2dc93efc9a3bafff539a4d93b9a236b950162433026378ad1950"},"schema_version":"1.0","source":{"id":"2505.00507","kind":"arxiv","version":2}},"canonical_sha256":"c60a5f9b453e51c8fa6d3ac348bd4a2a45be4cb3f1a2ba7fd19d5495c2add08a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c60a5f9b453e51c8fa6d3ac348bd4a2a45be4cb3f1a2ba7fd19d5495c2add08a","first_computed_at":"2026-07-05T10:58:47.828947Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:47.828947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oBExTZq+yOoWR7s08M53Hv7g6ILTGkDP9J5DlqGmztskshhlGWHIkK0gHIhVgBpn1SIabHLKMwpTi2ejfZ4iCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:47.829441Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.00507","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f4dc63406d525f7f36ec819691eaa84f5e617c245f9169970b7f6545d80ae56","sha256:ab5c3d95d0feb40c77c9a96f0c178297fa2adc623430bfd1c1a77a0abbbdea50"],"state_sha256":"05da5709eb92bb48edf68f2dddf5e9c0843ee6f49c4828238a2a95c6ad112e14"}