{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:V2NXY2WESGKQNWHCVAO7MDTPU4","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":"703c7744466d9bc4633c779742ffbb57d357ee10757144fcb41a9efe9836c14b","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T17:30:49Z","title_canon_sha256":"ba2d82c0a24ca9136b2429d5a3d71e1c795b1d9ed769b8ada8854982e8528554"},"schema_version":"1.0","source":{"id":"2606.27317","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27317","created_at":"2026-06-26T01:16:18Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27317v1","created_at":"2026-06-26T01:16:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27317","created_at":"2026-06-26T01:16:18Z"},{"alias_kind":"pith_short_12","alias_value":"V2NXY2WESGKQ","created_at":"2026-06-26T01:16:18Z"},{"alias_kind":"pith_short_16","alias_value":"V2NXY2WESGKQNWHC","created_at":"2026-06-26T01:16:18Z"},{"alias_kind":"pith_short_8","alias_value":"V2NXY2WE","created_at":"2026-06-26T01:16:18Z"}],"graph_snapshots":[{"event_id":"sha256:35dd3269b0e887e3c38805b4ee2b99126b44f7a2b7781fc12a6c5087385fb81f","target":"graph","created_at":"2026-06-26T01:16:18Z","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/2606.27317/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present OctoSense, an open-source sensor platform with stereo RGB and event cameras, LiDAR, a thermal camera, an inertial measurement unit, RTK-corrected global positioning system, and proprioception (CAN bus data from a car, and joint angles for a quadruped robot). The eponymous OctoSense dataset contains 59 hours of time-synchronized driving data across different types of environments at different times of the day, including situations with highly degraded sensors. We demonstrate multi-modal self-supervised learning using such real-world robotics data, where sensors have different represe","authors_text":"Anthony Bisulco, Jeremy Wang, Kostas Daniilidis, Pratik Chaudhari, Randall Balestriero","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T17:30:49Z","title":"OctoSense: Self-Supervised Learning for Multimodal Robot Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27317","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":"sha256:48f130b50ccdd0275e9661ce86e7ac76636aa6933b6b81a1b75f161ce5348448","target":"record","created_at":"2026-06-26T01:16:18Z","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":"703c7744466d9bc4633c779742ffbb57d357ee10757144fcb41a9efe9836c14b","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T17:30:49Z","title_canon_sha256":"ba2d82c0a24ca9136b2429d5a3d71e1c795b1d9ed769b8ada8854982e8528554"},"schema_version":"1.0","source":{"id":"2606.27317","kind":"arxiv","version":1}},"canonical_sha256":"ae9b7c6ac4919506d8e2a81df60e6fa71eee6b90c9995834f468438e97865009","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae9b7c6ac4919506d8e2a81df60e6fa71eee6b90c9995834f468438e97865009","first_computed_at":"2026-06-26T01:16:18.525962Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-26T01:16:18.525962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WDOAV4jb+olDyzPwhX8K3RTKSdRxrWSv8vRVWaAQ+LuAXyKLKg+gD3irwiYeMk8U9FDRqXSzehcFV+6AgZ4ZBg==","signature_status":"signed_v1","signed_at":"2026-06-26T01:16:18.526365Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.27317","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:48f130b50ccdd0275e9661ce86e7ac76636aa6933b6b81a1b75f161ce5348448","sha256:35dd3269b0e887e3c38805b4ee2b99126b44f7a2b7781fc12a6c5087385fb81f"],"state_sha256":"73804e0ecf49e0483d8bfc8b19c0c2799f52141d8d330543beed6c2eba26615e"}