{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:HCCNVM4ZB7SM6TFCJE4PPRKA7D","short_pith_number":"pith:HCCNVM4Z","schema_version":"1.0","canonical_sha256":"3884dab3990fe4cf4ca24938f7c540f8e708b27b6c14cb3f6dfd0f37ab7457e7","source":{"kind":"arxiv","id":"2606.30109","version":1},"attestation_state":"computed","paper":{"title":"TacEvo: Self-Evolving Architecture Discovery for Robotic Tactile Perception via LLM-Driven Quality-Diversity Search","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Dandan Zhang, Lan Wei, Mohammed AbuSadeh","submitted_at":"2026-06-29T10:45:01Z","abstract_excerpt":"Vision-based tactile sensing converts contact-induced surface deformation into images, enabling robots to infer contact forces and fine surface textures that are not accessible through conventional vision alone. However, tactile images are sensor- and physics-specific, so effective architectures often require expert intuition and extensive manual iteration. Existing neural architecture search (NAS) pipelines can reduce this burden, but they are often computationally expensive and restricted to hand-designed search spaces, which limits architectural novelty and diversity. We introduce TacEvo, a"},"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":"2606.30109","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-29T10:45:01Z","cross_cats_sorted":[],"title_canon_sha256":"774c3b18824d8d464508385db496663aa405a3c4ca97bf294752a62c021929a6","abstract_canon_sha256":"7901acbe73dd01a33b0c075b056a286fba0ba0a96d4959b801a0ac0b0120827c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T02:17:49.973262Z","signature_b64":"8ziBzDRHFI1JNafPTLMNUfgG4/4E5zMImKaEzCAukZyvKML5LE5spISJSuGvfb336Rm72K7OXof6Oq494mSGCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3884dab3990fe4cf4ca24938f7c540f8e708b27b6c14cb3f6dfd0f37ab7457e7","last_reissued_at":"2026-06-30T02:17:49.972624Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T02:17:49.972624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TacEvo: Self-Evolving Architecture Discovery for Robotic Tactile Perception via LLM-Driven Quality-Diversity Search","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Dandan Zhang, Lan Wei, Mohammed AbuSadeh","submitted_at":"2026-06-29T10:45:01Z","abstract_excerpt":"Vision-based tactile sensing converts contact-induced surface deformation into images, enabling robots to infer contact forces and fine surface textures that are not accessible through conventional vision alone. However, tactile images are sensor- and physics-specific, so effective architectures often require expert intuition and extensive manual iteration. Existing neural architecture search (NAS) pipelines can reduce this burden, but they are often computationally expensive and restricted to hand-designed search spaces, which limits architectural novelty and diversity. We introduce TacEvo, a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30109","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/2606.30109/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":"2606.30109","created_at":"2026-06-30T02:17:49.972707+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.30109v1","created_at":"2026-06-30T02:17:49.972707+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.30109","created_at":"2026-06-30T02:17:49.972707+00:00"},{"alias_kind":"pith_short_12","alias_value":"HCCNVM4ZB7SM","created_at":"2026-06-30T02:17:49.972707+00:00"},{"alias_kind":"pith_short_16","alias_value":"HCCNVM4ZB7SM6TFC","created_at":"2026-06-30T02:17:49.972707+00:00"},{"alias_kind":"pith_short_8","alias_value":"HCCNVM4Z","created_at":"2026-06-30T02:17:49.972707+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/HCCNVM4ZB7SM6TFCJE4PPRKA7D","json":"https://pith.science/pith/HCCNVM4ZB7SM6TFCJE4PPRKA7D.json","graph_json":"https://pith.science/api/pith-number/HCCNVM4ZB7SM6TFCJE4PPRKA7D/graph.json","events_json":"https://pith.science/api/pith-number/HCCNVM4ZB7SM6TFCJE4PPRKA7D/events.json","paper":"https://pith.science/paper/HCCNVM4Z"},"agent_actions":{"view_html":"https://pith.science/pith/HCCNVM4ZB7SM6TFCJE4PPRKA7D","download_json":"https://pith.science/pith/HCCNVM4ZB7SM6TFCJE4PPRKA7D.json","view_paper":"https://pith.science/paper/HCCNVM4Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.30109&json=true","fetch_graph":"https://pith.science/api/pith-number/HCCNVM4ZB7SM6TFCJE4PPRKA7D/graph.json","fetch_events":"https://pith.science/api/pith-number/HCCNVM4ZB7SM6TFCJE4PPRKA7D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HCCNVM4ZB7SM6TFCJE4PPRKA7D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HCCNVM4ZB7SM6TFCJE4PPRKA7D/action/storage_attestation","attest_author":"https://pith.science/pith/HCCNVM4ZB7SM6TFCJE4PPRKA7D/action/author_attestation","sign_citation":"https://pith.science/pith/HCCNVM4ZB7SM6TFCJE4PPRKA7D/action/citation_signature","submit_replication":"https://pith.science/pith/HCCNVM4ZB7SM6TFCJE4PPRKA7D/action/replication_record"}},"created_at":"2026-06-30T02:17:49.972707+00:00","updated_at":"2026-06-30T02:17:49.972707+00:00"}