{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EEBBQCOU4EJQ5CS2Y3GY3AMIJ3","short_pith_number":"pith:EEBBQCOU","canonical_record":{"source":{"id":"2402.03327","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-09T06:20:23Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"3f8e14457f875cb017fee186aa5bb1128e61fd2557d1f4c0020b796b705e12f3","abstract_canon_sha256":"95bd4345bac0cb699c75891585548250f1cd37eed9b3bc7bd86c0198c8dab09a"},"schema_version":"1.0"},"canonical_sha256":"21021809d4e1130e8a5ac6cd8d81884efd84d1f6a133ae461d7fe572037e8849","source":{"kind":"arxiv","id":"2402.03327","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.03327","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"arxiv_version","alias_value":"2402.03327v1","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.03327","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"pith_short_12","alias_value":"EEBBQCOU4EJQ","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"pith_short_16","alias_value":"EEBBQCOU4EJQ5CS2","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"pith_short_8","alias_value":"EEBBQCOU","created_at":"2026-07-05T07:41:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EEBBQCOU4EJQ5CS2Y3GY3AMIJ3","target":"record","payload":{"canonical_record":{"source":{"id":"2402.03327","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-09T06:20:23Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"3f8e14457f875cb017fee186aa5bb1128e61fd2557d1f4c0020b796b705e12f3","abstract_canon_sha256":"95bd4345bac0cb699c75891585548250f1cd37eed9b3bc7bd86c0198c8dab09a"},"schema_version":"1.0"},"canonical_sha256":"21021809d4e1130e8a5ac6cd8d81884efd84d1f6a133ae461d7fe572037e8849","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:41:50.825693Z","signature_b64":"SrS2VWTMp3N5C83x1dSKLfXxnT4Lc7FMRwYSD4mUa0AhDsG9qFu6HvZC1vws3PNXnLNUhdAaBDbRdVIMALONDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21021809d4e1130e8a5ac6cd8d81884efd84d1f6a133ae461d7fe572037e8849","last_reissued_at":"2026-07-05T07:41:50.825164Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:41:50.825164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.03327","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":"2026-07-05T07:41:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"33e43L1UofMLJ/TdScHrkkrTrwBoG+/xKVXPEq7WCaqAbRguyXeO7ov2tZyagN+GiSESZdP+wLKqIhq+DkDHCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:43:18.290660Z"},"content_sha256":"14c13bf7a1f32c067f095229444fb349f3d527b36495181fa87af9ca0a68e2d2","schema_version":"1.0","event_id":"sha256:14c13bf7a1f32c067f095229444fb349f3d527b36495181fa87af9ca0a68e2d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EEBBQCOU4EJQ5CS2Y3GY3AMIJ3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CV","authors_text":"Dingning Liu, Peng Gao, Wanli Ouyang, Xiaoshui Huang, Yongshun Gong, Yuenan Hou, Zhenfei Yin, Zhihui Wang","submitted_at":"2024-01-09T06:20:23Z","abstract_excerpt":"In this paper, we introduce Uni3D-LLM, a unified framework that leverages a Large Language Model (LLM) to integrate tasks of 3D perception, generation, and editing within point cloud scenes. This framework empowers users to effortlessly generate and modify objects at specified locations within a scene, guided by the versatility of natural language descriptions. Uni3D-LLM harnesses the expressive power of natural language to allow for precise command over the generation and editing of 3D objects, thereby significantly enhancing operational flexibility and controllability. By mapping point cloud"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.03327","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/2402.03327/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":"2026-07-05T07:41:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UVjbORVTCQ44fL7LW9UOOBUc6Vy30hhYl0WuGl+2OLJzEB6wvW1WGeT9d9uxoTcyleU8xSDlV+ANMq1A0hmmBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:43:18.291262Z"},"content_sha256":"376e54657a6a032fd6f117f3175a4747aca2ab2fe922b2f45515ac387684f5b5","schema_version":"1.0","event_id":"sha256:376e54657a6a032fd6f117f3175a4747aca2ab2fe922b2f45515ac387684f5b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EEBBQCOU4EJQ5CS2Y3GY3AMIJ3/bundle.json","state_url":"https://pith.science/pith/EEBBQCOU4EJQ5CS2Y3GY3AMIJ3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EEBBQCOU4EJQ5CS2Y3GY3AMIJ3/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":"2026-08-08T03:43:18Z","links":{"resolver":"https://pith.science/pith/EEBBQCOU4EJQ5CS2Y3GY3AMIJ3","bundle":"https://pith.science/pith/EEBBQCOU4EJQ5CS2Y3GY3AMIJ3/bundle.json","state":"https://pith.science/pith/EEBBQCOU4EJQ5CS2Y3GY3AMIJ3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EEBBQCOU4EJQ5CS2Y3GY3AMIJ3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EEBBQCOU4EJQ5CS2Y3GY3AMIJ3","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":"95bd4345bac0cb699c75891585548250f1cd37eed9b3bc7bd86c0198c8dab09a","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-09T06:20:23Z","title_canon_sha256":"3f8e14457f875cb017fee186aa5bb1128e61fd2557d1f4c0020b796b705e12f3"},"schema_version":"1.0","source":{"id":"2402.03327","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.03327","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"arxiv_version","alias_value":"2402.03327v1","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.03327","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"pith_short_12","alias_value":"EEBBQCOU4EJQ","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"pith_short_16","alias_value":"EEBBQCOU4EJQ5CS2","created_at":"2026-07-05T07:41:50Z"},{"alias_kind":"pith_short_8","alias_value":"EEBBQCOU","created_at":"2026-07-05T07:41:50Z"}],"graph_snapshots":[{"event_id":"sha256:376e54657a6a032fd6f117f3175a4747aca2ab2fe922b2f45515ac387684f5b5","target":"graph","created_at":"2026-07-05T07:41:50Z","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/2402.03327/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we introduce Uni3D-LLM, a unified framework that leverages a Large Language Model (LLM) to integrate tasks of 3D perception, generation, and editing within point cloud scenes. This framework empowers users to effortlessly generate and modify objects at specified locations within a scene, guided by the versatility of natural language descriptions. Uni3D-LLM harnesses the expressive power of natural language to allow for precise command over the generation and editing of 3D objects, thereby significantly enhancing operational flexibility and controllability. By mapping point cloud","authors_text":"Dingning Liu, Peng Gao, Wanli Ouyang, Xiaoshui Huang, Yongshun Gong, Yuenan Hou, Zhenfei Yin, Zhihui Wang","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-09T06:20:23Z","title":"Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.03327","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":"sha256:14c13bf7a1f32c067f095229444fb349f3d527b36495181fa87af9ca0a68e2d2","target":"record","created_at":"2026-07-05T07:41:50Z","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":"95bd4345bac0cb699c75891585548250f1cd37eed9b3bc7bd86c0198c8dab09a","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-09T06:20:23Z","title_canon_sha256":"3f8e14457f875cb017fee186aa5bb1128e61fd2557d1f4c0020b796b705e12f3"},"schema_version":"1.0","source":{"id":"2402.03327","kind":"arxiv","version":1}},"canonical_sha256":"21021809d4e1130e8a5ac6cd8d81884efd84d1f6a133ae461d7fe572037e8849","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21021809d4e1130e8a5ac6cd8d81884efd84d1f6a133ae461d7fe572037e8849","first_computed_at":"2026-07-05T07:41:50.825164Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:41:50.825164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SrS2VWTMp3N5C83x1dSKLfXxnT4Lc7FMRwYSD4mUa0AhDsG9qFu6HvZC1vws3PNXnLNUhdAaBDbRdVIMALONDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:41:50.825693Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.03327","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14c13bf7a1f32c067f095229444fb349f3d527b36495181fa87af9ca0a68e2d2","sha256:376e54657a6a032fd6f117f3175a4747aca2ab2fe922b2f45515ac387684f5b5"],"state_sha256":"f82d16b9e384dd2f0d39603fd5bb006750b72723060612fe57313c8b6d8d80b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xa38h/++He99D9qEovbkHMoBGPOpweEKc+QeW9Xy5pfpLnjnLa+yiKkRtIeJ8tVt2zMKuEuBjpRYWJty9sunBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T03:43:18.296259Z","bundle_sha256":"5799ca747143b60ade109f8d7263bdb07e7f758b9755697eb9f682f1046b5cbd"}}