{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:7YKKPF4DGY4DBDCIHL2PYJJASB","short_pith_number":"pith:7YKKPF4D","canonical_record":{"source":{"id":"2311.01989","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T15:41:15Z","cross_cats_sorted":[],"title_canon_sha256":"619bb3c4efe280878299b85b70ef7b77edefc0c1c98a9f6051cb4d87d77d9b67","abstract_canon_sha256":"b28d67f3bf022fc63658e2394acd1c1b1b7140370ff96a1d0b79a3c5d9ec678b"},"schema_version":"1.0"},"canonical_sha256":"fe14a797833638308c483af4fc25209070b81320e003bb7db016f6e3d5952b41","source":{"kind":"arxiv","id":"2311.01989","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01989","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01989v2","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01989","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"pith_short_12","alias_value":"7YKKPF4DGY4D","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"pith_short_16","alias_value":"7YKKPF4DGY4DBDCI","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"pith_short_8","alias_value":"7YKKPF4D","created_at":"2026-07-05T07:09:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:7YKKPF4DGY4DBDCIHL2PYJJASB","target":"record","payload":{"canonical_record":{"source":{"id":"2311.01989","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T15:41:15Z","cross_cats_sorted":[],"title_canon_sha256":"619bb3c4efe280878299b85b70ef7b77edefc0c1c98a9f6051cb4d87d77d9b67","abstract_canon_sha256":"b28d67f3bf022fc63658e2394acd1c1b1b7140370ff96a1d0b79a3c5d9ec678b"},"schema_version":"1.0"},"canonical_sha256":"fe14a797833638308c483af4fc25209070b81320e003bb7db016f6e3d5952b41","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:09:04.593200Z","signature_b64":"vO7yaZURBFktAVLPOp5+avpc5h/Xmcn6wsLtoyZy38LOL2ITDAwD8Jiqu2th1U6g9Fk60j7CMbv6iK/G+TlqCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe14a797833638308c483af4fc25209070b81320e003bb7db016f6e3d5952b41","last_reissued_at":"2026-07-05T07:09:04.591983Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:09:04.591983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.01989","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":"2026-07-05T07:09:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5LvSZ6CsnYq8AXKM3oJVhQvUCJEnnS0vJw5BcHMlvXdAZ8eAKzhF7oLDt+CGsQbt1JsJV1mi5c+cluGOYsX1CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:58:08.264198Z"},"content_sha256":"0f473a629ea68d9adda8aa9289738ffc913c7937c3408c2eb9621d433e184743","schema_version":"1.0","event_id":"sha256:0f473a629ea68d9adda8aa9289738ffc913c7937c3408c2eb9621d433e184743"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:7YKKPF4DGY4DBDCIHL2PYJJASB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fayao Liu, Guosheng Lin, Shichao Dong","submitted_at":"2023-11-03T15:41:15Z","abstract_excerpt":"Recently, large-scale pre-trained models such as Segment-Anything Model (SAM) and Contrastive Language-Image Pre-training (CLIP) have demonstrated remarkable success and revolutionized the field of computer vision. These foundation vision models effectively capture knowledge from a large-scale broad data with their vast model parameters, enabling them to perform zero-shot segmentation on previously unseen data without additional training. While they showcase competence in 2D tasks, their potential for enhancing 3D scene understanding remains relatively unexplored. To this end, we present a nov"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01989","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/2311.01989/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":"2026-07-05T07:09:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cMboYk0ifPPsew/WJnhrQXP+Gj7YkWAEYEyO/EDFTw6wgW8JgfhKYfXhq/HORfJqMK0azVpwxe8R6h+pXNfHDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:58:08.264724Z"},"content_sha256":"71fc29c3ec9441193c71917d884576a45a0b110123c6c76c4a595019877bb7e0","schema_version":"1.0","event_id":"sha256:71fc29c3ec9441193c71917d884576a45a0b110123c6c76c4a595019877bb7e0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7YKKPF4DGY4DBDCIHL2PYJJASB/bundle.json","state_url":"https://pith.science/pith/7YKKPF4DGY4DBDCIHL2PYJJASB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7YKKPF4DGY4DBDCIHL2PYJJASB/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":"2026-08-07T10:58:08Z","links":{"resolver":"https://pith.science/pith/7YKKPF4DGY4DBDCIHL2PYJJASB","bundle":"https://pith.science/pith/7YKKPF4DGY4DBDCIHL2PYJJASB/bundle.json","state":"https://pith.science/pith/7YKKPF4DGY4DBDCIHL2PYJJASB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7YKKPF4DGY4DBDCIHL2PYJJASB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7YKKPF4DGY4DBDCIHL2PYJJASB","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":"b28d67f3bf022fc63658e2394acd1c1b1b7140370ff96a1d0b79a3c5d9ec678b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T15:41:15Z","title_canon_sha256":"619bb3c4efe280878299b85b70ef7b77edefc0c1c98a9f6051cb4d87d77d9b67"},"schema_version":"1.0","source":{"id":"2311.01989","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01989","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01989v2","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01989","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"pith_short_12","alias_value":"7YKKPF4DGY4D","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"pith_short_16","alias_value":"7YKKPF4DGY4DBDCI","created_at":"2026-07-05T07:09:04Z"},{"alias_kind":"pith_short_8","alias_value":"7YKKPF4D","created_at":"2026-07-05T07:09:04Z"}],"graph_snapshots":[{"event_id":"sha256:71fc29c3ec9441193c71917d884576a45a0b110123c6c76c4a595019877bb7e0","target":"graph","created_at":"2026-07-05T07:09:04Z","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/2311.01989/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, large-scale pre-trained models such as Segment-Anything Model (SAM) and Contrastive Language-Image Pre-training (CLIP) have demonstrated remarkable success and revolutionized the field of computer vision. These foundation vision models effectively capture knowledge from a large-scale broad data with their vast model parameters, enabling them to perform zero-shot segmentation on previously unseen data without additional training. While they showcase competence in 2D tasks, their potential for enhancing 3D scene understanding remains relatively unexplored. To this end, we present a nov","authors_text":"Fayao Liu, Guosheng Lin, Shichao Dong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T15:41:15Z","title":"Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01989","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":"sha256:0f473a629ea68d9adda8aa9289738ffc913c7937c3408c2eb9621d433e184743","target":"record","created_at":"2026-07-05T07:09:04Z","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":"b28d67f3bf022fc63658e2394acd1c1b1b7140370ff96a1d0b79a3c5d9ec678b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T15:41:15Z","title_canon_sha256":"619bb3c4efe280878299b85b70ef7b77edefc0c1c98a9f6051cb4d87d77d9b67"},"schema_version":"1.0","source":{"id":"2311.01989","kind":"arxiv","version":2}},"canonical_sha256":"fe14a797833638308c483af4fc25209070b81320e003bb7db016f6e3d5952b41","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe14a797833638308c483af4fc25209070b81320e003bb7db016f6e3d5952b41","first_computed_at":"2026-07-05T07:09:04.591983Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:09:04.591983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vO7yaZURBFktAVLPOp5+avpc5h/Xmcn6wsLtoyZy38LOL2ITDAwD8Jiqu2th1U6g9Fk60j7CMbv6iK/G+TlqCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:09:04.593200Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.01989","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f473a629ea68d9adda8aa9289738ffc913c7937c3408c2eb9621d433e184743","sha256:71fc29c3ec9441193c71917d884576a45a0b110123c6c76c4a595019877bb7e0"],"state_sha256":"011b8dcd3ba6f2ef1bfaf6234fc38c046d89c8c06c5e6681b9fa05b19d8c109e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6G6XSljIHFAA27KpiGQhwAideZg90K0TSPfTDnCijG5NhNOWLHWVNyOHgvgFMPo264Zg88JFthI7bsX2zFPGBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:58:08.269249Z","bundle_sha256":"8fb8a9aed26c0e9bfb2815e89e6846393dd86fa031a47264f32aa9d9eb1e3bc2"}}