{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IX2HLOEB6S4GELXHD3IL4PKR3T","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":"d9e27f754aaf0f52754d58d31b32cb6d9bc93d98bad20f00ec389dd5e4211418","cross_cats_sorted":["cs.CV","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-15T08:33:25Z","title_canon_sha256":"f99bd2a71dcef36fcc3fcd65978860952c8a7a31af5396451a4522975c607e1c"},"schema_version":"1.0","source":{"id":"2502.12191","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12191","created_at":"2026-07-05T10:42:43Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12191v3","created_at":"2026-07-05T10:42:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12191","created_at":"2026-07-05T10:42:43Z"},{"alias_kind":"pith_short_12","alias_value":"IX2HLOEB6S4G","created_at":"2026-07-05T10:42:43Z"},{"alias_kind":"pith_short_16","alias_value":"IX2HLOEB6S4GELXH","created_at":"2026-07-05T10:42:43Z"},{"alias_kind":"pith_short_8","alias_value":"IX2HLOEB","created_at":"2026-07-05T10:42:43Z"}],"graph_snapshots":[{"event_id":"sha256:9fb2f025e00bf3e98aca1405be0da164db259f25f03bcb9408d495d1f33d86bf","target":"graph","created_at":"2026-07-05T10:42:43Z","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/2502.12191/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visuo-tactile sensors aim to emulate human tactile perception, enabling robots to precisely understand and manipulate objects. Over time, numerous meticulously designed visuo-tactile sensors have been integrated into robotic systems, aiding in completing various tasks. However, the distinct data characteristics of these low-standardized visuo-tactile sensors hinder the establishment of a powerful tactile perception system. We consider that the key to addressing this issue lies in learning unified multi-sensor representations, thereby integrating the sensors and promoting tactile knowledge tran","authors_text":"Ao Shen, Bin Fang, Di Hu, Jiangyu Hu, Ruoxuan Feng, Tianci Gao, Wenke Xia, Yuhao Sun","cross_cats":["cs.CV","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-15T08:33:25Z","title":"AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12191","kind":"arxiv","version":3},"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:a2f632255a98aea8210cd8f78e150aad8cb47203a9fe06402d0fe747d4ddf6eb","target":"record","created_at":"2026-07-05T10:42:43Z","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":"d9e27f754aaf0f52754d58d31b32cb6d9bc93d98bad20f00ec389dd5e4211418","cross_cats_sorted":["cs.CV","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-15T08:33:25Z","title_canon_sha256":"f99bd2a71dcef36fcc3fcd65978860952c8a7a31af5396451a4522975c607e1c"},"schema_version":"1.0","source":{"id":"2502.12191","kind":"arxiv","version":3}},"canonical_sha256":"45f475b881f4b8622ee71ed0be3d51dcf6e8377dff3b61edf1bb988690d06858","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"45f475b881f4b8622ee71ed0be3d51dcf6e8377dff3b61edf1bb988690d06858","first_computed_at":"2026-07-05T10:42:43.691218Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:42:43.691218Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Naqtr3ywc+fkJfJRZJj2imynNE2T3peUAKfRNIOBxJjRDbyAtQJxuHZTrmZT/KqUWcN5x3Rg6BCm5hbOTFLaCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:42:43.691735Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.12191","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2f632255a98aea8210cd8f78e150aad8cb47203a9fe06402d0fe747d4ddf6eb","sha256:9fb2f025e00bf3e98aca1405be0da164db259f25f03bcb9408d495d1f33d86bf"],"state_sha256":"33213a2e557c667444363b37d5b8e3afc6e988a8c55db0d607f56a4d900cfc6c"}