{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3V7VA6XO4AF47QI4SGREN62F3H","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":"446c5a7a2a6cc3ce7a4437e07778f13dabed05d05d2e30f958ad95e94b7e07d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-17T14:35:52Z","title_canon_sha256":"dac44b7b5935511184f68aa20ac6547c7c3971d221845678f7f5ce86705e817c"},"schema_version":"1.0","source":{"id":"2606.19122","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19122","created_at":"2026-06-19T16:11:57Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19122v1","created_at":"2026-06-19T16:11:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19122","created_at":"2026-06-19T16:11:57Z"},{"alias_kind":"pith_short_12","alias_value":"3V7VA6XO4AF4","created_at":"2026-06-19T16:11:57Z"},{"alias_kind":"pith_short_16","alias_value":"3V7VA6XO4AF47QI4","created_at":"2026-06-19T16:11:57Z"},{"alias_kind":"pith_short_8","alias_value":"3V7VA6XO","created_at":"2026-06-19T16:11:57Z"}],"graph_snapshots":[{"event_id":"sha256:3786180f17b729244016919a3980c7d6163ba648643f6e20bfe6462e84547ab7","target":"graph","created_at":"2026-06-19T16:11:57Z","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/2606.19122/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sidewalks in the real world are crowded, cluttered, and less structured than roads, making 3D occupancy prediction a key ingredient for the safe navigation of mobile robots such as delivery bots and electric wheelchairs. Existing occupancy learning pipelines are largely designed for on-road autonomous driving and often train on large-scale paired LiDAR-RGB datasets with dense 3D supervision and multiple camera inputs, which are costly to collect and do not adequately capture sidewalk-specific characteristics. We propose WalkOCC, a hybrid Ray-marching monocular 3D occupancy perception framework","authors_text":"Bolei Zhou, Brad Squicciarini, Honglin He, Joe Lin, Liu Liu, Lulu Ricketts, Yong Liu, Yukai Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-17T14:35:52Z","title":"Monocular 3D Occupancy Perception for Robots on Sidewalks via Hybrid 2D-3D Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19122","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":"sha256:67e3be562271facbc85ae2c01f3d16bdb2cff1113d9a2a128282a9d3b3cc644f","target":"record","created_at":"2026-06-19T16:11:57Z","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":"446c5a7a2a6cc3ce7a4437e07778f13dabed05d05d2e30f958ad95e94b7e07d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-17T14:35:52Z","title_canon_sha256":"dac44b7b5935511184f68aa20ac6547c7c3971d221845678f7f5ce86705e817c"},"schema_version":"1.0","source":{"id":"2606.19122","kind":"arxiv","version":1}},"canonical_sha256":"dd7f507aeee00bcfc11c91a246fb45d9d11e155eae1cf9d6794a4dfb14bd7abb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd7f507aeee00bcfc11c91a246fb45d9d11e155eae1cf9d6794a4dfb14bd7abb","first_computed_at":"2026-06-19T16:11:57.220943Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:57.220943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lxFDqOyIp3+VLTt1/BLmYjxoyR8U152CXjpTvKSBX9Ibn9jgwWJrlI2I4cWyygy1vQ0rxKZtryq9j5zRn/UZBA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:57.221299Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19122","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67e3be562271facbc85ae2c01f3d16bdb2cff1113d9a2a128282a9d3b3cc644f","sha256:3786180f17b729244016919a3980c7d6163ba648643f6e20bfe6462e84547ab7"],"state_sha256":"94bf8756364cb23b8efd689ce8ef24f67de75149a9cd47999df723703e0589ab"}