{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GKT5XO5YTOJBECOC6IXTJNDOZZ","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":"733bcaf25ad29ccbbe806c5369a31c4cd8b8059619091c8fbaa7c27088e4c744","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-07T09:55:20Z","title_canon_sha256":"80796d39b110bf922dd9daf6c0cc98096c09a83bed85702f05be316420ee9d4e"},"schema_version":"1.0","source":{"id":"2605.05945","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.05945","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.05945v5","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.05945","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"pith_short_12","alias_value":"GKT5XO5YTOJB","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"pith_short_16","alias_value":"GKT5XO5YTOJBECOC","created_at":"2026-05-20T01:05:15Z"},{"alias_kind":"pith_short_8","alias_value":"GKT5XO5Y","created_at":"2026-05-20T01:05:15Z"}],"graph_snapshots":[{"event_id":"sha256:b079f87218341e07206e2747afa52d5288d928b90e05c185f687f4446dba1434","target":"graph","created_at":"2026-05-20T01:05:15Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"we release a novel dataset comprising 200 hours of diverse, long form egocentric data with persistent state tracking"},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"modern smartphones provide high fidelity, long term camera pose tracking effectively removing high hardware barriers"},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"MobileEgo Anywhere releases an open mobile app, processing pipeline, and 200-hour dataset for long-horizon egocentric data collection on commodity hardware to support vision-language-action model training."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"Smartphones enable collection of 200 hours of long-horizon egocentric data for robot training"}],"snapshot_sha256":"12eeff89c9e2ad09955c04f5f68cbdd1109204d5c894fb963dc2c67a70f298a4"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[{"findings_count":0,"name":"doi_title_agreement","ran_at":"2026-05-19T19:31:19.358196Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"doi_compliance","ran_at":"2026-05-19T13:06:35.487268Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.05945/integrity.json","findings":[],"snapshot_sha256":"969c93d441759cc4da07fbd1fb32d911baf183f2e93ed4d13f86e3cc023ca00c","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent advancement of Vision Language Action (VLA) models has driven a critical demand for large scale egocentric datasets. However, existing datasets are often limited by short episode durations, typically spanning only a few minutes, which fails to capture the long horizon temporal dependencies necessary for complex robotic task execution. To bridge this gap, we present MobileEgo Anywhere, a framework designed to facilitate the collection of robust, hour plus egocentric trajectories using commodity mobile hardware. We leverage the ubiquitous sensor suites of modern smartphones to provide","authors_text":"Abhishek Anand, Ekaksh Janweja, Pratyush Patnaik, Satpal Singh Rathor, Senthil Palanisamy, Shubhanshu Khatana","cross_cats":["cs.CL"],"headline":"Smartphones enable collection of 200 hours of long-horizon egocentric data for robot training","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-07T09:55:20Z","title":"MobileEgo Anywhere: Open Infrastructure for long horizon egocentric data on commodity hardware"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.05945","kind":"arxiv","version":5},"verdict":{"created_at":"2026-05-15T07:05:23.667049Z","id":"29b4a69c-8233-49e6-9ecd-2bd987f6e473","model_set":{"reader":"grok-4.3"},"one_line_summary":"MobileEgo Anywhere releases an open mobile app, processing pipeline, and 200-hour dataset for long-horizon egocentric data collection on commodity hardware to support vision-language-action model training.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"Smartphones enable collection of 200 hours of long-horizon egocentric data for robot training","strongest_claim":"we release a novel dataset comprising 200 hours of diverse, long form egocentric data with persistent state tracking","weakest_assumption":"modern smartphones provide high fidelity, long term camera pose tracking effectively removing high hardware barriers"}},"verdict_id":"29b4a69c-8233-49e6-9ecd-2bd987f6e473"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1effdb49c37d47f1cc6f52791ce81cd6f595634826a36ad066edc41361cf8332","target":"record","created_at":"2026-05-20T01:05:15Z","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":"733bcaf25ad29ccbbe806c5369a31c4cd8b8059619091c8fbaa7c27088e4c744","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-07T09:55:20Z","title_canon_sha256":"80796d39b110bf922dd9daf6c0cc98096c09a83bed85702f05be316420ee9d4e"},"schema_version":"1.0","source":{"id":"2605.05945","kind":"arxiv","version":5}},"canonical_sha256":"32a7dbbbb89b921209c2f22f34b46ece46f53cf1ed972ce0dd1301e29802d91b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32a7dbbbb89b921209c2f22f34b46ece46f53cf1ed972ce0dd1301e29802d91b","first_computed_at":"2026-05-20T01:05:15.453340Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:05:15.453340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wcm3TnhhGY3P+ZFMZ4bB2SYOprnzbn0yILYlbYAvax0zdIM7dPBHzM2VbvZ1rvWAA6HkJLLEDJb66Y+4V1H4Bg==","signature_status":"signed_v1","signed_at":"2026-05-20T01:05:15.453985Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.05945","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1effdb49c37d47f1cc6f52791ce81cd6f595634826a36ad066edc41361cf8332","sha256:b079f87218341e07206e2747afa52d5288d928b90e05c185f687f4446dba1434"],"state_sha256":"9758e51f8238e989517e4ce5654693322cf5836dc525c5060730f0fab2e01d26"}