{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AU56S2NPZ3B4BCNZM2RXULWHOQ","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":"2bc17df1b005efffc3da4e45fe1cdb1a97ede1df9ee41eb9adb8a5bd16d7bde7","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T08:53:41Z","title_canon_sha256":"f593b1132e43dda415a84c36e61f2b73e746bd73ae2ba35af265edb19c1d6aa4"},"schema_version":"1.0","source":{"id":"2607.14728","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.14728","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.14728v1","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14728","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"AU56S2NPZ3B4","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"AU56S2NPZ3B4BCNZ","created_at":"2026-07-17T01:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"AU56S2NP","created_at":"2026-07-17T01:21:28Z"}],"graph_snapshots":[{"event_id":"sha256:8595aab23b4052eac18eb7598e7af0f5afd42dacfbff3b7563804ccb17123b3b","target":"graph","created_at":"2026-07-17T01:21:28Z","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/2607.14728/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tactile image generation significantly reduces the dependency on expensive and wear-prone sensors by synthesizing high-fidelity tactile data, offering an efficient solution for tactile information acquisition in robotic perception and human-machine interaction systems. However, existing methods depend on large-scale, diverse datasets from specific sensors and lack efficient data utilization and robust generalization capabilities, struggling in vision-limited environments. To address this, we introduce VQ-Touch, a tactile generation framework that supports both cross-sensor and multi-scenario a","authors_text":"Di Wu, Jianing Zeng, Jie Hao, Kailin Lyu, Lin Shu, Long Xiao","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T08:53:41Z","title":"VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14728","kind":"arxiv","version":1},"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:a68943615d406c20cadff32bed6ab1ff1cebf4cda00946576e490f2ed67c1ba6","target":"record","created_at":"2026-07-17T01:21:28Z","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":"2bc17df1b005efffc3da4e45fe1cdb1a97ede1df9ee41eb9adb8a5bd16d7bde7","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-16T08:53:41Z","title_canon_sha256":"f593b1132e43dda415a84c36e61f2b73e746bd73ae2ba35af265edb19c1d6aa4"},"schema_version":"1.0","source":{"id":"2607.14728","kind":"arxiv","version":1}},"canonical_sha256":"053be969afcec3c089b966a37a2ec77410d32b1557710b6fb7b5a9d2ee196718","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"053be969afcec3c089b966a37a2ec77410d32b1557710b6fb7b5a9d2ee196718","first_computed_at":"2026-07-17T01:21:28.008160Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-17T01:21:28.008160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"asGSDlV2hOOUawfce3QD3/Kt3OLRe/Bwh/5+tSEPN0YhbwKIfyNyxFX57YRF6iZnnIVtantGIuZhknlxTl1pBQ==","signature_status":"signed_v1","signed_at":"2026-07-17T01:21:28.009031Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.14728","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a68943615d406c20cadff32bed6ab1ff1cebf4cda00946576e490f2ed67c1ba6","sha256:8595aab23b4052eac18eb7598e7af0f5afd42dacfbff3b7563804ccb17123b3b"],"state_sha256":"3140ad407ae96a01f628874e0e160d9441408e361abd422a86aa404adfd58124"}