{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:G4UL7WZ63HO2TH3FBTTUZF2IOO","short_pith_number":"pith:G4UL7WZ6","schema_version":"1.0","canonical_sha256":"3728bfdb3ed9dda99f650ce74c974873bc736d7a29d5dbcb2ccf47f11488c810","source":{"kind":"arxiv","id":"2606.09243","version":1},"attestation_state":"computed","paper":{"title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jing-Hao Xue, Qingmin Liao, Tiao Tan, Wenming Yang, Xingting Li, Yaqi Qin, Yuan Zeng, Yujia Shi, Zongqing Lu","submitted_at":"2026-06-08T09:20:03Z","abstract_excerpt":"Estimating full-hand grasp pressure from egocentric video is critical for immersive VR and robotic manipulation, yet dense tactile sensing often relies on intrusive hardware. Existing vision-based methods predominantly rely on planar surfaces or fingertip contacts, failing to generalize to complex 3D object interactions. Therefore, we introduce EgoTactile, a benchmark pairing egocentric video with full-hand pressure supervision for diverse everyday objects, incorporating a bare-hand transfer subset to enable generalization to natural scenarios. Leveraging this benchmark, we first establish Ego"},"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":"2606.09243","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-08T09:20:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4033d3783251737fdfff28a25be626ea016c7fd5a3d8cd67bc97b60eac9e8f40","abstract_canon_sha256":"ffd7fe5eb632cfd1a560c27ad155d2f06f1986e7c75c781b36142f8e90a08cc9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:08:09.599972Z","signature_b64":"P5nl7C2ehbMfPFolZEDCW9Qhy85zxUndJgxPI3mcF3WGNeX4phMRF7o/mZmH4ipCIPHfol6x/g4Rid0Ar8kTDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3728bfdb3ed9dda99f650ce74c974873bc736d7a29d5dbcb2ccf47f11488c810","last_reissued_at":"2026-06-09T02:08:09.599098Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:08:09.599098Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jing-Hao Xue, Qingmin Liao, Tiao Tan, Wenming Yang, Xingting Li, Yaqi Qin, Yuan Zeng, Yujia Shi, Zongqing Lu","submitted_at":"2026-06-08T09:20:03Z","abstract_excerpt":"Estimating full-hand grasp pressure from egocentric video is critical for immersive VR and robotic manipulation, yet dense tactile sensing often relies on intrusive hardware. Existing vision-based methods predominantly rely on planar surfaces or fingertip contacts, failing to generalize to complex 3D object interactions. Therefore, we introduce EgoTactile, a benchmark pairing egocentric video with full-hand pressure supervision for diverse everyday objects, incorporating a bare-hand transfer subset to enable generalization to natural scenarios. Leveraging this benchmark, we first establish Ego"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09243","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/2606.09243/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":"2606.09243","created_at":"2026-06-09T02:08:09.599246+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.09243v1","created_at":"2026-06-09T02:08:09.599246+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09243","created_at":"2026-06-09T02:08:09.599246+00:00"},{"alias_kind":"pith_short_12","alias_value":"G4UL7WZ63HO2","created_at":"2026-06-09T02:08:09.599246+00:00"},{"alias_kind":"pith_short_16","alias_value":"G4UL7WZ63HO2TH3F","created_at":"2026-06-09T02:08:09.599246+00:00"},{"alias_kind":"pith_short_8","alias_value":"G4UL7WZ6","created_at":"2026-06-09T02:08:09.599246+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/G4UL7WZ63HO2TH3FBTTUZF2IOO","json":"https://pith.science/pith/G4UL7WZ63HO2TH3FBTTUZF2IOO.json","graph_json":"https://pith.science/api/pith-number/G4UL7WZ63HO2TH3FBTTUZF2IOO/graph.json","events_json":"https://pith.science/api/pith-number/G4UL7WZ63HO2TH3FBTTUZF2IOO/events.json","paper":"https://pith.science/paper/G4UL7WZ6"},"agent_actions":{"view_html":"https://pith.science/pith/G4UL7WZ63HO2TH3FBTTUZF2IOO","download_json":"https://pith.science/pith/G4UL7WZ63HO2TH3FBTTUZF2IOO.json","view_paper":"https://pith.science/paper/G4UL7WZ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.09243&json=true","fetch_graph":"https://pith.science/api/pith-number/G4UL7WZ63HO2TH3FBTTUZF2IOO/graph.json","fetch_events":"https://pith.science/api/pith-number/G4UL7WZ63HO2TH3FBTTUZF2IOO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G4UL7WZ63HO2TH3FBTTUZF2IOO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G4UL7WZ63HO2TH3FBTTUZF2IOO/action/storage_attestation","attest_author":"https://pith.science/pith/G4UL7WZ63HO2TH3FBTTUZF2IOO/action/author_attestation","sign_citation":"https://pith.science/pith/G4UL7WZ63HO2TH3FBTTUZF2IOO/action/citation_signature","submit_replication":"https://pith.science/pith/G4UL7WZ63HO2TH3FBTTUZF2IOO/action/replication_record"}},"created_at":"2026-06-09T02:08:09.599246+00:00","updated_at":"2026-06-09T02:08:09.599246+00:00"}