{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:L3JRURVP47VNZ5OEPGC5CMFXTF","short_pith_number":"pith:L3JRURVP","schema_version":"1.0","canonical_sha256":"5ed31a46afe7eadcf5c47985d130b799602aea2f8e60c6f734fafab3e7e76717","source":{"kind":"arxiv","id":"2301.02310","version":3},"attestation_state":"computed","paper":{"title":"PressureVision++: Estimating Fingertip Pressure from Diverse RGB Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Charles C. Kemp, Chengcheng Tang, Christopher D. Twigg, James Hays, Jeremy A. Collins, Kunal Aneja, Patrick Grady","submitted_at":"2023-01-05T21:48:33Z","abstract_excerpt":"Touch plays a fundamental role in manipulation for humans; however, machine perception of contact and pressure typically requires invasive sensors. Recent research has shown that deep models can estimate hand pressure based on a single RGB image. However, evaluations have been limited to controlled settings since collecting diverse data with ground-truth pressure measurements is difficult. We present a novel approach that enables diverse data to be captured with only an RGB camera and a cooperative participant. Our key insight is that people can be prompted to apply pressure in a certain way, "},"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":"2301.02310","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-01-05T21:48:33Z","cross_cats_sorted":[],"title_canon_sha256":"7d17cfb6879c3a11c064537c6b2bb260c4c6fcd532896180095fa83a342743da","abstract_canon_sha256":"ec2971a097ed97a0bcbbf9e7d1df86fc22fcd97cb03a7ce151ca405908b2e434"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:29:51.811965Z","signature_b64":"e0aCMYD79V5gLmbbimF/cSSIzuKmk8Yha/FJhkhKiyfEpnApH6MBGUaPGZRTMiFK7XNBUZeygxPdXaWRiY39BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ed31a46afe7eadcf5c47985d130b799602aea2f8e60c6f734fafab3e7e76717","last_reissued_at":"2026-07-05T07:29:51.811493Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:29:51.811493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PressureVision++: Estimating Fingertip Pressure from Diverse RGB Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Charles C. Kemp, Chengcheng Tang, Christopher D. Twigg, James Hays, Jeremy A. Collins, Kunal Aneja, Patrick Grady","submitted_at":"2023-01-05T21:48:33Z","abstract_excerpt":"Touch plays a fundamental role in manipulation for humans; however, machine perception of contact and pressure typically requires invasive sensors. Recent research has shown that deep models can estimate hand pressure based on a single RGB image. However, evaluations have been limited to controlled settings since collecting diverse data with ground-truth pressure measurements is difficult. We present a novel approach that enables diverse data to be captured with only an RGB camera and a cooperative participant. Our key insight is that people can be prompted to apply pressure in a certain way, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.02310","kind":"arxiv","version":3},"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/2301.02310/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":"2301.02310","created_at":"2026-07-05T07:29:51.811557+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.02310v3","created_at":"2026-07-05T07:29:51.811557+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.02310","created_at":"2026-07-05T07:29:51.811557+00:00"},{"alias_kind":"pith_short_12","alias_value":"L3JRURVP47VN","created_at":"2026-07-05T07:29:51.811557+00:00"},{"alias_kind":"pith_short_16","alias_value":"L3JRURVP47VNZ5OE","created_at":"2026-07-05T07:29:51.811557+00:00"},{"alias_kind":"pith_short_8","alias_value":"L3JRURVP","created_at":"2026-07-05T07:29:51.811557+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/L3JRURVP47VNZ5OEPGC5CMFXTF","json":"https://pith.science/pith/L3JRURVP47VNZ5OEPGC5CMFXTF.json","graph_json":"https://pith.science/api/pith-number/L3JRURVP47VNZ5OEPGC5CMFXTF/graph.json","events_json":"https://pith.science/api/pith-number/L3JRURVP47VNZ5OEPGC5CMFXTF/events.json","paper":"https://pith.science/paper/L3JRURVP"},"agent_actions":{"view_html":"https://pith.science/pith/L3JRURVP47VNZ5OEPGC5CMFXTF","download_json":"https://pith.science/pith/L3JRURVP47VNZ5OEPGC5CMFXTF.json","view_paper":"https://pith.science/paper/L3JRURVP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.02310&json=true","fetch_graph":"https://pith.science/api/pith-number/L3JRURVP47VNZ5OEPGC5CMFXTF/graph.json","fetch_events":"https://pith.science/api/pith-number/L3JRURVP47VNZ5OEPGC5CMFXTF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L3JRURVP47VNZ5OEPGC5CMFXTF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L3JRURVP47VNZ5OEPGC5CMFXTF/action/storage_attestation","attest_author":"https://pith.science/pith/L3JRURVP47VNZ5OEPGC5CMFXTF/action/author_attestation","sign_citation":"https://pith.science/pith/L3JRURVP47VNZ5OEPGC5CMFXTF/action/citation_signature","submit_replication":"https://pith.science/pith/L3JRURVP47VNZ5OEPGC5CMFXTF/action/replication_record"}},"created_at":"2026-07-05T07:29:51.811557+00:00","updated_at":"2026-07-05T07:29:51.811557+00:00"}