{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5IQANABWRQVIX6WUNP2KYJAZSV","short_pith_number":"pith:5IQANABW","canonical_record":{"source":{"id":"2503.23980","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T11:46:55Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"f39c61811e5b19de42f2e4c2c993e82b008cd641837dfbe07cdc6516e733fb75","abstract_canon_sha256":"524f1d46841e5cf1b1253eb8bd13338b4013b3c73f0d4103f6fb44576485128a"},"schema_version":"1.0"},"canonical_sha256":"ea200680368c2a8bfad46bf4ac2419955b030785f5a666b092cdbab369b0e453","source":{"kind":"arxiv","id":"2503.23980","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23980","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23980v2","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23980","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"pith_short_12","alias_value":"5IQANABWRQVI","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"pith_short_16","alias_value":"5IQANABWRQVIX6WU","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"pith_short_8","alias_value":"5IQANABW","created_at":"2026-07-05T11:25:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5IQANABWRQVIX6WUNP2KYJAZSV","target":"record","payload":{"canonical_record":{"source":{"id":"2503.23980","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T11:46:55Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"f39c61811e5b19de42f2e4c2c993e82b008cd641837dfbe07cdc6516e733fb75","abstract_canon_sha256":"524f1d46841e5cf1b1253eb8bd13338b4013b3c73f0d4103f6fb44576485128a"},"schema_version":"1.0"},"canonical_sha256":"ea200680368c2a8bfad46bf4ac2419955b030785f5a666b092cdbab369b0e453","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:25:43.636197Z","signature_b64":"7YWetJLM1sxgNSmUNAvmhLXIXYeJMMybwjuhcxNDkRe1z0oZjgIAlmEWhOWh0u99xWlcfa5r7uc07MSOrftQDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea200680368c2a8bfad46bf4ac2419955b030785f5a666b092cdbab369b0e453","last_reissued_at":"2026-07-05T11:25:43.635720Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:25:43.635720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.23980","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:25:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0imYJFNBEEsrBxos3xjgQVGTe1NyxI2zHmPHdDFLZIO/4OUQJO3HSvxzF93LF3x/lk1/ksQeO7dlLEUegAbLBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:01:50.422255Z"},"content_sha256":"c8d494e0ff55f255066ba62b22cefb3ab2f84ef88893ca3cd85e97c5b7336ae9","schema_version":"1.0","event_id":"sha256:c8d494e0ff55f255066ba62b22cefb3ab2f84ef88893ca3cd85e97c5b7336ae9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5IQANABWRQVIX6WUNP2KYJAZSV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SALT: A Flexible Semi-Automatic Labeling Tool for General LiDAR Point Clouds with Cross-Scene Adaptability and 4D Consistency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Chuan Cao, Jingchuan Wang, Tianchen Deng, Weidong Chen, Wentao Zhao, Yanbo Wang, Yongtao Chen","submitted_at":"2025-03-31T11:46:55Z","abstract_excerpt":"We propose a flexible Semi-Automatic Labeling Tool (SALT) for general LiDAR point clouds with cross-scene adaptability and 4D consistency. Unlike recent approaches that rely on camera distillation, SALT operates directly on raw LiDAR data, automatically generating pre-segmentation results. To achieve this, we propose a novel zero-shot learning paradigm, termed data alignment, which transforms LiDAR data into pseudo-images by aligning with the training distribution of vision foundation models. Additionally, we design a 4D-consistent prompting strategy and 4D non-maximum suppression module to en"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23980","kind":"arxiv","version":2},"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/2503.23980/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":"2026-07-05T11:25:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E4AWtxqmb6FBGE0oUWS+8e5gGQFYtoiXY/AqNMzcjiPhwxDoF1epWhSnKh37FewSmSYU0GlxBR84fr6MIUuUCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:01:50.422766Z"},"content_sha256":"9978518e205ec02ab1b68d9e9b432e9335a7c3d14ed15a477e647dffc13b1f96","schema_version":"1.0","event_id":"sha256:9978518e205ec02ab1b68d9e9b432e9335a7c3d14ed15a477e647dffc13b1f96"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5IQANABWRQVIX6WUNP2KYJAZSV/bundle.json","state_url":"https://pith.science/pith/5IQANABWRQVIX6WUNP2KYJAZSV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5IQANABWRQVIX6WUNP2KYJAZSV/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":"2026-08-06T21:01:50Z","links":{"resolver":"https://pith.science/pith/5IQANABWRQVIX6WUNP2KYJAZSV","bundle":"https://pith.science/pith/5IQANABWRQVIX6WUNP2KYJAZSV/bundle.json","state":"https://pith.science/pith/5IQANABWRQVIX6WUNP2KYJAZSV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5IQANABWRQVIX6WUNP2KYJAZSV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5IQANABWRQVIX6WUNP2KYJAZSV","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":"524f1d46841e5cf1b1253eb8bd13338b4013b3c73f0d4103f6fb44576485128a","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T11:46:55Z","title_canon_sha256":"f39c61811e5b19de42f2e4c2c993e82b008cd641837dfbe07cdc6516e733fb75"},"schema_version":"1.0","source":{"id":"2503.23980","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23980","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23980v2","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23980","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"pith_short_12","alias_value":"5IQANABWRQVI","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"pith_short_16","alias_value":"5IQANABWRQVIX6WU","created_at":"2026-07-05T11:25:43Z"},{"alias_kind":"pith_short_8","alias_value":"5IQANABW","created_at":"2026-07-05T11:25:43Z"}],"graph_snapshots":[{"event_id":"sha256:9978518e205ec02ab1b68d9e9b432e9335a7c3d14ed15a477e647dffc13b1f96","target":"graph","created_at":"2026-07-05T11:25:43Z","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/2503.23980/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a flexible Semi-Automatic Labeling Tool (SALT) for general LiDAR point clouds with cross-scene adaptability and 4D consistency. Unlike recent approaches that rely on camera distillation, SALT operates directly on raw LiDAR data, automatically generating pre-segmentation results. To achieve this, we propose a novel zero-shot learning paradigm, termed data alignment, which transforms LiDAR data into pseudo-images by aligning with the training distribution of vision foundation models. Additionally, we design a 4D-consistent prompting strategy and 4D non-maximum suppression module to en","authors_text":"Chuan Cao, Jingchuan Wang, Tianchen Deng, Weidong Chen, Wentao Zhao, Yanbo Wang, Yongtao Chen","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T11:46:55Z","title":"SALT: A Flexible Semi-Automatic Labeling Tool for General LiDAR Point Clouds with Cross-Scene Adaptability and 4D Consistency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23980","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:c8d494e0ff55f255066ba62b22cefb3ab2f84ef88893ca3cd85e97c5b7336ae9","target":"record","created_at":"2026-07-05T11:25:43Z","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":"524f1d46841e5cf1b1253eb8bd13338b4013b3c73f0d4103f6fb44576485128a","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T11:46:55Z","title_canon_sha256":"f39c61811e5b19de42f2e4c2c993e82b008cd641837dfbe07cdc6516e733fb75"},"schema_version":"1.0","source":{"id":"2503.23980","kind":"arxiv","version":2}},"canonical_sha256":"ea200680368c2a8bfad46bf4ac2419955b030785f5a666b092cdbab369b0e453","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea200680368c2a8bfad46bf4ac2419955b030785f5a666b092cdbab369b0e453","first_computed_at":"2026-07-05T11:25:43.635720Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:43.635720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7YWetJLM1sxgNSmUNAvmhLXIXYeJMMybwjuhcxNDkRe1z0oZjgIAlmEWhOWh0u99xWlcfa5r7uc07MSOrftQDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:43.636197Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.23980","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8d494e0ff55f255066ba62b22cefb3ab2f84ef88893ca3cd85e97c5b7336ae9","sha256:9978518e205ec02ab1b68d9e9b432e9335a7c3d14ed15a477e647dffc13b1f96"],"state_sha256":"64969e9bb29f9294028113cf62ec5f3461bf9237531ae3677939b1aaf6bf7f2f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Equ9u6Au6IK+xc++Ao+v9Y3EsjfEuhLG56O+A44wReT/CLEz8tBxFGQ+3UCkuhmKEyPrr3yYJA0HQdUVNAVLAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T21:01:50.427293Z","bundle_sha256":"6ea13671f566dc31c8ecb3e940927e65515bebcdc860c2abc3fc8c2d626ef161"}}