{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:6T77LOA3SF7C7J2EVNXVYBQRTV","short_pith_number":"pith:6T77LOA3","schema_version":"1.0","canonical_sha256":"f4fff5b81b917e2fa744ab6f5c06119d55117e99e2e0a96a9d2362303bf5ec4c","source":{"kind":"arxiv","id":"2606.17385","version":1},"attestation_state":"computed","paper":{"title":"EgoInfinity: A Web-Scale 4D Hand-Object Interaction Data Engine for Any-View Robot Retargeting and Video-to-Action Robot Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Andrew Morgan, Gaotian Wang, Howard H. Qian, Kaiyu Hang, Kejia Ren, Podshara Chanrungmaneekul, Yiting Chen","submitted_at":"2026-06-16T00:44:16Z","abstract_excerpt":"Internet videos constitute the largest reservoir of embodied human manipulation knowledge, yet converting arbitrary RGB footage into actionable robot training data remains a major bottleneck. Existing lab- or factory-collected datasets are narrow in scale and diversity, limiting open-world robot learning. Instead of proposing a static dataset, we introduce EgoInfinity, a universal 4D hand-object interaction data engine that enables web-scale data generation for robot retargeting and learning. EgoInfinity is a modular engine integrating perception, segmentation, reconstruction, interaction-awar"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.17385","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-16T00:44:16Z","cross_cats_sorted":[],"title_canon_sha256":"25e9eb5ff59cd277df53da8aeabe4e34da2d95e5dac9609b62865254b6ecb63f","abstract_canon_sha256":"f303aa64d0f3bf3f38210b039cf9199b31586a43a6417759d538fed2393020ac"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:10.847186Z","signature_b64":"8EBilXmQ7+RkF/Tua+HsFsKOYvw7Xa1qXelGa7YMbGQH9iSc/k1AEDLghgEuZvZfihtWNDPUhTl1RhVxPwF/Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f4fff5b81b917e2fa744ab6f5c06119d55117e99e2e0a96a9d2362303bf5ec4c","last_reissued_at":"2026-06-19T16:10:10.846839Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:10.846839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"EgoInfinity: A Web-Scale 4D Hand-Object Interaction Data Engine for Any-View Robot Retargeting and Video-to-Action Robot Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Andrew Morgan, Gaotian Wang, Howard H. Qian, Kaiyu Hang, Kejia Ren, Podshara Chanrungmaneekul, Yiting Chen","submitted_at":"2026-06-16T00:44:16Z","abstract_excerpt":"Internet videos constitute the largest reservoir of embodied human manipulation knowledge, yet converting arbitrary RGB footage into actionable robot training data remains a major bottleneck. Existing lab- or factory-collected datasets are narrow in scale and diversity, limiting open-world robot learning. Instead of proposing a static dataset, we introduce EgoInfinity, a universal 4D hand-object interaction data engine that enables web-scale data generation for robot retargeting and learning. EgoInfinity is a modular engine integrating perception, segmentation, reconstruction, interaction-awar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17385","kind":"arxiv","version":1},"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/2606.17385/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.17385","created_at":"2026-06-19T16:10:10.846901+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.17385v1","created_at":"2026-06-19T16:10:10.846901+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17385","created_at":"2026-06-19T16:10:10.846901+00:00"},{"alias_kind":"pith_short_12","alias_value":"6T77LOA3SF7C","created_at":"2026-06-19T16:10:10.846901+00:00"},{"alias_kind":"pith_short_16","alias_value":"6T77LOA3SF7C7J2E","created_at":"2026-06-19T16:10:10.846901+00:00"},{"alias_kind":"pith_short_8","alias_value":"6T77LOA3","created_at":"2026-06-19T16:10:10.846901+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6T77LOA3SF7C7J2EVNXVYBQRTV","json":"https://pith.science/pith/6T77LOA3SF7C7J2EVNXVYBQRTV.json","graph_json":"https://pith.science/api/pith-number/6T77LOA3SF7C7J2EVNXVYBQRTV/graph.json","events_json":"https://pith.science/api/pith-number/6T77LOA3SF7C7J2EVNXVYBQRTV/events.json","paper":"https://pith.science/paper/6T77LOA3"},"agent_actions":{"view_html":"https://pith.science/pith/6T77LOA3SF7C7J2EVNXVYBQRTV","download_json":"https://pith.science/pith/6T77LOA3SF7C7J2EVNXVYBQRTV.json","view_paper":"https://pith.science/paper/6T77LOA3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.17385&json=true","fetch_graph":"https://pith.science/api/pith-number/6T77LOA3SF7C7J2EVNXVYBQRTV/graph.json","fetch_events":"https://pith.science/api/pith-number/6T77LOA3SF7C7J2EVNXVYBQRTV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6T77LOA3SF7C7J2EVNXVYBQRTV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6T77LOA3SF7C7J2EVNXVYBQRTV/action/storage_attestation","attest_author":"https://pith.science/pith/6T77LOA3SF7C7J2EVNXVYBQRTV/action/author_attestation","sign_citation":"https://pith.science/pith/6T77LOA3SF7C7J2EVNXVYBQRTV/action/citation_signature","submit_replication":"https://pith.science/pith/6T77LOA3SF7C7J2EVNXVYBQRTV/action/replication_record"}},"created_at":"2026-06-19T16:10:10.846901+00:00","updated_at":"2026-06-19T16:10:10.846901+00:00"}