{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MXCUULAHOZKOZ6GT4DQLKWD26L","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":"f0f80123d0c3f7456849acb872e1b397a843ab8f8bbf2cb42d443ca60ee75971","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-23T10:57:27Z","title_canon_sha256":"269ee2a5f6cbbd0aad5b91851e810c86318ff75ecc210252d1f6860919a7dca2"},"schema_version":"1.0","source":{"id":"2501.13996","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.13996","created_at":"2026-07-05T10:04:43Z"},{"alias_kind":"arxiv_version","alias_value":"2501.13996v1","created_at":"2026-07-05T10:04:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13996","created_at":"2026-07-05T10:04:43Z"},{"alias_kind":"pith_short_12","alias_value":"MXCUULAHOZKO","created_at":"2026-07-05T10:04:43Z"},{"alias_kind":"pith_short_16","alias_value":"MXCUULAHOZKOZ6GT","created_at":"2026-07-05T10:04:43Z"},{"alias_kind":"pith_short_8","alias_value":"MXCUULAH","created_at":"2026-07-05T10:04:43Z"}],"graph_snapshots":[{"event_id":"sha256:c3efb50218b5dfe5d17271e14caed5ee48c0bbeeba78d2746047f24189b5c1e1","target":"graph","created_at":"2026-07-05T10:04:43Z","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/2501.13996/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Lip reading is vital for robots in social settings, improving their ability to understand human communication. This skill allows them to communicate more easily in crowded environments, especially in caregiving and customer service roles. Generating a Persian Lip-reading dataset, this study integrates Persian lip-reading technology into the Surena-V humanoid robot to improve its speech recognition capabilities. Two complementary methods are explored, an indirect method using facial landmark tracking and a direct method leveraging convolutional neural networks (CNNs) and long short-term memory ","authors_text":"Aghil Yousefi-Koma, Ali Farshian Abbasi, Alireza Naeini, Parisa Rashidi, Soheil Dehghani Firouzabadi","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-23T10:57:27Z","title":"Integrating Persian Lip Reading in Surena-V Humanoid Robot for Human-Robot Interaction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13996","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:d5a398901ce90ad5c518584cc57e4ae81add7c5e6f1ab43841bcd04062f6d44b","target":"record","created_at":"2026-07-05T10:04:43Z","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":"f0f80123d0c3f7456849acb872e1b397a843ab8f8bbf2cb42d443ca60ee75971","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-23T10:57:27Z","title_canon_sha256":"269ee2a5f6cbbd0aad5b91851e810c86318ff75ecc210252d1f6860919a7dca2"},"schema_version":"1.0","source":{"id":"2501.13996","kind":"arxiv","version":1}},"canonical_sha256":"65c54a2c077654ecf8d3e0e0b5587af2ee6809618b239041aecdab2f7114ad8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"65c54a2c077654ecf8d3e0e0b5587af2ee6809618b239041aecdab2f7114ad8a","first_computed_at":"2026-07-05T10:04:43.750193Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:04:43.750193Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D4RItm7/ibl4pSjpMFBXaKKKTOl7spsB9T+Y0pfnbVBlUvyhejQ4/qtGjm0RJZ5B1Hz7mLr2aaAD3tJH+NY5Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:04:43.750698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.13996","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5a398901ce90ad5c518584cc57e4ae81add7c5e6f1ab43841bcd04062f6d44b","sha256:c3efb50218b5dfe5d17271e14caed5ee48c0bbeeba78d2746047f24189b5c1e1"],"state_sha256":"c467ba56e6276f75d8fe413b5795b2b0fd339c615c7156484eb9fccb18843c80"}