{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TGVPL6KEXUZUY7JNG5LIEMFVKV","short_pith_number":"pith:TGVPL6KE","canonical_record":{"source":{"id":"2412.04380","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-05T17:57:09Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"6e5a43b921cd007e8ef078c64b6e2c32e1254df09fc310b367151cdc369b7fe1","abstract_canon_sha256":"3095ce4a4b48a6ca685455ff73caace59d814afa371300a5f2ce223ca2fc9fc0"},"schema_version":"1.0"},"canonical_sha256":"99aaf5f944bd334c7d2d37568230b5557bb97c7be16543c54f8c9eeb499c1fa9","source":{"kind":"arxiv","id":"2412.04380","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04380","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04380v3","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04380","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"pith_short_12","alias_value":"TGVPL6KEXUZU","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"pith_short_16","alias_value":"TGVPL6KEXUZUY7JN","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"pith_short_8","alias_value":"TGVPL6KE","created_at":"2026-07-05T11:58:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TGVPL6KEXUZUY7JNG5LIEMFVKV","target":"record","payload":{"canonical_record":{"source":{"id":"2412.04380","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-05T17:57:09Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"6e5a43b921cd007e8ef078c64b6e2c32e1254df09fc310b367151cdc369b7fe1","abstract_canon_sha256":"3095ce4a4b48a6ca685455ff73caace59d814afa371300a5f2ce223ca2fc9fc0"},"schema_version":"1.0"},"canonical_sha256":"99aaf5f944bd334c7d2d37568230b5557bb97c7be16543c54f8c9eeb499c1fa9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:58:22.515245Z","signature_b64":"PnkP87vwLhZ+4/DjEACysx8WMoOTw8GCjeUuvbVyGi42rAywfMObUxPOGppbdUOZh7fcGgp0XRYN2nBPHi5bDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99aaf5f944bd334c7d2d37568230b5557bb97c7be16543c54f8c9eeb499c1fa9","last_reissued_at":"2026-07-05T11:58:22.514754Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:58:22.514754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.04380","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:58:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TZBpfpQzlFx4Dsi2FpqqTZw+IcAi5LjBA36RyGC6j3ZItJhWY7tLIRuloXvyK4UIxNmnh0JnDyqyc1Jp9TbWBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T13:24:20.154148Z"},"content_sha256":"98a8a1b1b11bc50ccd013857ae80838c5e03fd4af9344726b9cc70d0399d8e27","schema_version":"1.0","event_id":"sha256:98a8a1b1b11bc50ccd013857ae80838c5e03fd4af9344726b9cc70d0399d8e27"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TGVPL6KEXUZUY7JNG5LIEMFVKV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Jie Zhou, Jiwen Lu, Sicheng Zuo, Wenzhao Zheng, Yuanhui Huang, Yuqi Wu","submitted_at":"2024-12-05T17:57:09Z","abstract_excerpt":"3D occupancy prediction provides a comprehensive description of the surrounding scenes and has become an essential task for 3D perception. Most existing methods focus on offline perception from one or a few views and cannot be applied to embodied agents that demand to gradually perceive the scene through progressive embodied exploration. In this paper, we formulate an embodied 3D occupancy prediction task to target this practical scenario and propose a Gaussian-based EmbodiedOcc framework to accomplish it. We initialize the global scene with uniform 3D semantic Gaussians and progressively upda"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04380","kind":"arxiv","version":3},"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/2412.04380/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":"2026-07-05T11:58:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GNXIzaiW1Y7mCtc6aNRnCDn+DDK1H7jr3PPMsQ4zc+N9UyYZWldMJfgHUFlxPo0bYthW5ko+8yypZr/mbk+nDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T13:24:20.154656Z"},"content_sha256":"90919efc16c23c6c92752732187633b9b7013938013fbc2cbfb71d3beb7defe2","schema_version":"1.0","event_id":"sha256:90919efc16c23c6c92752732187633b9b7013938013fbc2cbfb71d3beb7defe2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TGVPL6KEXUZUY7JNG5LIEMFVKV/bundle.json","state_url":"https://pith.science/pith/TGVPL6KEXUZUY7JNG5LIEMFVKV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TGVPL6KEXUZUY7JNG5LIEMFVKV/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":"2026-08-09T13:24:20Z","links":{"resolver":"https://pith.science/pith/TGVPL6KEXUZUY7JNG5LIEMFVKV","bundle":"https://pith.science/pith/TGVPL6KEXUZUY7JNG5LIEMFVKV/bundle.json","state":"https://pith.science/pith/TGVPL6KEXUZUY7JNG5LIEMFVKV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TGVPL6KEXUZUY7JNG5LIEMFVKV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TGVPL6KEXUZUY7JNG5LIEMFVKV","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":"3095ce4a4b48a6ca685455ff73caace59d814afa371300a5f2ce223ca2fc9fc0","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-05T17:57:09Z","title_canon_sha256":"6e5a43b921cd007e8ef078c64b6e2c32e1254df09fc310b367151cdc369b7fe1"},"schema_version":"1.0","source":{"id":"2412.04380","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04380","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04380v3","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04380","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"pith_short_12","alias_value":"TGVPL6KEXUZU","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"pith_short_16","alias_value":"TGVPL6KEXUZUY7JN","created_at":"2026-07-05T11:58:22Z"},{"alias_kind":"pith_short_8","alias_value":"TGVPL6KE","created_at":"2026-07-05T11:58:22Z"}],"graph_snapshots":[{"event_id":"sha256:90919efc16c23c6c92752732187633b9b7013938013fbc2cbfb71d3beb7defe2","target":"graph","created_at":"2026-07-05T11:58:22Z","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/2412.04380/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D occupancy prediction provides a comprehensive description of the surrounding scenes and has become an essential task for 3D perception. Most existing methods focus on offline perception from one or a few views and cannot be applied to embodied agents that demand to gradually perceive the scene through progressive embodied exploration. In this paper, we formulate an embodied 3D occupancy prediction task to target this practical scenario and propose a Gaussian-based EmbodiedOcc framework to accomplish it. We initialize the global scene with uniform 3D semantic Gaussians and progressively upda","authors_text":"Jie Zhou, Jiwen Lu, Sicheng Zuo, Wenzhao Zheng, Yuanhui Huang, Yuqi Wu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-05T17:57:09Z","title":"EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04380","kind":"arxiv","version":3},"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":"sha256:98a8a1b1b11bc50ccd013857ae80838c5e03fd4af9344726b9cc70d0399d8e27","target":"record","created_at":"2026-07-05T11:58:22Z","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":"3095ce4a4b48a6ca685455ff73caace59d814afa371300a5f2ce223ca2fc9fc0","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-05T17:57:09Z","title_canon_sha256":"6e5a43b921cd007e8ef078c64b6e2c32e1254df09fc310b367151cdc369b7fe1"},"schema_version":"1.0","source":{"id":"2412.04380","kind":"arxiv","version":3}},"canonical_sha256":"99aaf5f944bd334c7d2d37568230b5557bb97c7be16543c54f8c9eeb499c1fa9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"99aaf5f944bd334c7d2d37568230b5557bb97c7be16543c54f8c9eeb499c1fa9","first_computed_at":"2026-07-05T11:58:22.514754Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:22.514754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PnkP87vwLhZ+4/DjEACysx8WMoOTw8GCjeUuvbVyGi42rAywfMObUxPOGppbdUOZh7fcGgp0XRYN2nBPHi5bDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:22.515245Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.04380","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98a8a1b1b11bc50ccd013857ae80838c5e03fd4af9344726b9cc70d0399d8e27","sha256:90919efc16c23c6c92752732187633b9b7013938013fbc2cbfb71d3beb7defe2"],"state_sha256":"5ed0d104a120f9bc21bc18aa253dd1b6574ebf15e97f3f1c347c2fff0ff9ba81"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p78WfltKAkR1Kh5j5wbM5SkBUVyTEGSt96tEZY+30LlAJ6ESwQ4NysfcJivwDVl1Vt4XxLcjlbpTbnWZv8vxDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T13:24:20.158551Z","bundle_sha256":"1c9ea935f28eeb8b87134eadbce53166efdb961504210f77dc0c4e62e05763d2"}}