{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:J6MOARMP42TDOCOR3WLLZNWJKT","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":"3f1e480acbafc8ad4d9847ad2512f1bfe523d846ff8840cfac78c3dae0a6ab68","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T08:12:31Z","title_canon_sha256":"2ef18fb2035ead5c70d798ec46125b722e1201d7755313d041d4727cd8aa0a9c"},"schema_version":"1.0","source":{"id":"2412.18255","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.18255","created_at":"2026-07-05T09:53:52Z"},{"alias_kind":"arxiv_version","alias_value":"2412.18255v1","created_at":"2026-07-05T09:53:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.18255","created_at":"2026-07-05T09:53:52Z"},{"alias_kind":"pith_short_12","alias_value":"J6MOARMP42TD","created_at":"2026-07-05T09:53:52Z"},{"alias_kind":"pith_short_16","alias_value":"J6MOARMP42TDOCOR","created_at":"2026-07-05T09:53:52Z"},{"alias_kind":"pith_short_8","alias_value":"J6MOARMP","created_at":"2026-07-05T09:53:52Z"}],"graph_snapshots":[{"event_id":"sha256:ce0e90ac0dd12b4f94889e5e2727c12ea48f60775d1f65bc7714972b075b28c5","target":"graph","created_at":"2026-07-05T09:53:52Z","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/2412.18255/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, Visual Foundation Models (VFMs) have shown a remarkable generalization performance in 3D perception tasks. However, their effectiveness in large-scale outdoor datasets remains constrained by the scarcity of accurate supervision signals, the extensive noise caused by variable outdoor conditions, and the abundance of unknown objects. In this work, we propose a novel label-free learning method, Adaptive Label Correction (AdaCo), for 3D semantic segmentation. AdaCo first introduces the Cross-modal Label Generation Module (CLGM), providing cross-modal supervision with the formidable inter","authors_text":"Chenglu Wen, Cheng Wang, Pufan Zou, Qiming Xia, Shijia Zhao, Weijie Huang, Wei Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T08:12:31Z","title":"AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.18255","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:edc6c5b06c5b53ff8dc4cc2de5b4ed3f42a4282c781e12eaf2eaf80c128b3e8d","target":"record","created_at":"2026-07-05T09:53:52Z","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":"3f1e480acbafc8ad4d9847ad2512f1bfe523d846ff8840cfac78c3dae0a6ab68","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T08:12:31Z","title_canon_sha256":"2ef18fb2035ead5c70d798ec46125b722e1201d7755313d041d4727cd8aa0a9c"},"schema_version":"1.0","source":{"id":"2412.18255","kind":"arxiv","version":1}},"canonical_sha256":"4f98e0458fe6a63709d1dd96bcb6c954e81d6836157c34eda7e3cb339f2569a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f98e0458fe6a63709d1dd96bcb6c954e81d6836157c34eda7e3cb339f2569a7","first_computed_at":"2026-07-05T09:53:52.834874Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:52.834874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M3/iAyvPkGCQKZHzCqHv7W4E6QNIVC1csdeQN/qG6X7KiUtA3oxMyQYZGGdppwBfaLOCftkEiVR6Pyr/MJyZAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:52.835349Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.18255","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:edc6c5b06c5b53ff8dc4cc2de5b4ed3f42a4282c781e12eaf2eaf80c128b3e8d","sha256:ce0e90ac0dd12b4f94889e5e2727c12ea48f60775d1f65bc7714972b075b28c5"],"state_sha256":"aebc2fca956bf38d88f310dccb6795239d8fa2a04476b4485c75e3340c212352"}