{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:J6QC3NAQOAJO63IR7BQWJ7GVVW","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":"20e4f721397b9cbeea3ae79ca4011970ad9b1d0383e7f97c5111da8357ad8f29","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-22T07:52:25Z","title_canon_sha256":"8adcbd2dc8c83caa9963fa34ef00fd9a50cab0e4e30decbaaaf94601e7a32cf2"},"schema_version":"1.0","source":{"id":"2606.22971","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.22971","created_at":"2026-06-23T03:14:05Z"},{"alias_kind":"arxiv_version","alias_value":"2606.22971v1","created_at":"2026-06-23T03:14:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22971","created_at":"2026-06-23T03:14:05Z"},{"alias_kind":"pith_short_12","alias_value":"J6QC3NAQOAJO","created_at":"2026-06-23T03:14:05Z"},{"alias_kind":"pith_short_16","alias_value":"J6QC3NAQOAJO63IR","created_at":"2026-06-23T03:14:05Z"},{"alias_kind":"pith_short_8","alias_value":"J6QC3NAQ","created_at":"2026-06-23T03:14:05Z"}],"graph_snapshots":[{"event_id":"sha256:81d8eb4ea02bd167678eda165fe4888bfb229e3fdb83f200a46124ecafd271cf","target":"graph","created_at":"2026-06-23T03:14:05Z","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/2606.22971/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Occupancy prediction at voxel-level granularity is essential for safe robotic navigation and interaction in complex environments. Existing occupancy datasets, however, are predominantly designed for autonomous driving with vehicle-centric biases -- forward-facing cameras, far-field geometry, and static road priors -- limiting their applicability to embodied humanoid perception. We present Humanoid-OmniOcc, a large-scale panoramic stereo-based occupancy dataset tailored for humanoid robots. The dataset encompasses 15 diverse simulated indoor scenes and 5 real-world environments, yielding over 1","authors_text":"Bohao Zhang, Chenwei Huang, Cong Yang, Qin Zou, Ruilin Wang, Shiyuan Chen, Wei Sui, Xianda Guo, Yiqun Duan","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-22T07:52:25Z","title":"Humanoid-OmniOcc: Stereo-Based Full-View Occupancy Dataset for Embodied AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22971","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":"sha256:47951ed3e70600a908079cf94f7f95360818e45eb9e4efadfd44a12f5cfe1876","target":"record","created_at":"2026-06-23T03:14:05Z","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":"20e4f721397b9cbeea3ae79ca4011970ad9b1d0383e7f97c5111da8357ad8f29","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-22T07:52:25Z","title_canon_sha256":"8adcbd2dc8c83caa9963fa34ef00fd9a50cab0e4e30decbaaaf94601e7a32cf2"},"schema_version":"1.0","source":{"id":"2606.22971","kind":"arxiv","version":1}},"canonical_sha256":"4fa02db4107012ef6d11f86164fcd5adabef685545777c25417fc50445fe046b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4fa02db4107012ef6d11f86164fcd5adabef685545777c25417fc50445fe046b","first_computed_at":"2026-06-23T03:14:05.607485Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T03:14:05.607485Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oKZzC+c6w0/V4TBBnS4B3e8Ja17g9N67ktVOhY0vkg+vvwusMz7CotRDBL8rcPbQ39GoE0G3Fwz8mLib/xoiDg==","signature_status":"signed_v1","signed_at":"2026-06-23T03:14:05.607836Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.22971","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47951ed3e70600a908079cf94f7f95360818e45eb9e4efadfd44a12f5cfe1876","sha256:81d8eb4ea02bd167678eda165fe4888bfb229e3fdb83f200a46124ecafd271cf"],"state_sha256":"7e6a0db8d81e70df11636986f1effb8e26ef31d8268ea84239af9da8ceecb275"}