{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:5DVERAT4M7TJIIO7ODUIP4AWD3","short_pith_number":"pith:5DVERAT4","canonical_record":{"source":{"id":"2112.04752","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-09T08:16:00Z","cross_cats_sorted":[],"title_canon_sha256":"db14fa39ff7cf3296a9b0ce36d6605707906e1c60b36d76fcc9b4039b33b3f6f","abstract_canon_sha256":"1f7265833f4e16cc7cba4284a944b4707bcff37b6e5f8c5980cbfccff40b5900"},"schema_version":"1.0"},"canonical_sha256":"e8ea48827c67e69421df70e887f0161ec4b6eb77b5098ed8476f0056876f9659","source":{"kind":"arxiv","id":"2112.04752","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.04752","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"arxiv_version","alias_value":"2112.04752v2","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.04752","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"pith_short_12","alias_value":"5DVERAT4M7TJ","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"pith_short_16","alias_value":"5DVERAT4M7TJIIO7","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"pith_short_8","alias_value":"5DVERAT4","created_at":"2026-07-05T03:49:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:5DVERAT4M7TJIIO7ODUIP4AWD3","target":"record","payload":{"canonical_record":{"source":{"id":"2112.04752","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-09T08:16:00Z","cross_cats_sorted":[],"title_canon_sha256":"db14fa39ff7cf3296a9b0ce36d6605707906e1c60b36d76fcc9b4039b33b3f6f","abstract_canon_sha256":"1f7265833f4e16cc7cba4284a944b4707bcff37b6e5f8c5980cbfccff40b5900"},"schema_version":"1.0"},"canonical_sha256":"e8ea48827c67e69421df70e887f0161ec4b6eb77b5098ed8476f0056876f9659","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:49:27.194451Z","signature_b64":"WahqPtWhv4ueuGRrxQTb8l2T+AShD5p+Q3u3drr1G9yArxKhi1dfCSELqsOX37WvGMU13+rGKijU2WErjvOPCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8ea48827c67e69421df70e887f0161ec4b6eb77b5098ed8476f0056876f9659","last_reissued_at":"2026-07-05T03:49:27.194074Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:49:27.194074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.04752","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:49:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YXDxg+FyjkLC6kZGaFV8LKDXMXcR/GNqFDeTo51VRuCK0ovUuFsvEzYdbdMypvJAYHrkuHVlq6YhVEusmO1pBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:08:58.255897Z"},"content_sha256":"ca7f1ceb64ae1b38a3a94dce576a5fd424ab6a9e397db216185ca972f63cafc8","schema_version":"1.0","event_id":"sha256:ca7f1ceb64ae1b38a3a94dce576a5fd424ab6a9e397db216185ca972f63cafc8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:5DVERAT4M7TJIIO7ODUIP4AWD3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modelling Lips-State Detection Using CNN for Non-Verbal Communications","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abtahi Ishmam, Hussain Nyeem, Koushik Roy, Mahmudul Hasan, Md. Akiful Haque Akif, Md. Saif Hassan Onim","submitted_at":"2021-12-09T08:16:00Z","abstract_excerpt":"Vision-based deep learning models can be promising for speech-and-hearing-impaired and secret communications. While such non-verbal communications are primarily investigated with hand-gestures and facial expressions, no research endeavour is tracked so far for the lips state (i.e., open/close)-based interpretation/translation system. In support of this development, this paper reports two new Convolutional Neural Network (CNN) models for lips state detection. Building upon two prominent lips landmark detectors, DLIB and MediaPipe, we simplify lips-state model with a set of six key landmarks, an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.04752","kind":"arxiv","version":2},"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/2112.04752/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:49:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OexPtRHhvCVEZObtFlOKFYqSAPGf9tWKuU/RJqVXvZSFqtY1cPTMxqbJO9P6Ajd/2OnA2KA+fLfwLdhESn/nBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:08:58.256263Z"},"content_sha256":"aaf5e569b36c7e7a96906731f40fe65ceb0b2d42d883558dec315f80a2c1d1d9","schema_version":"1.0","event_id":"sha256:aaf5e569b36c7e7a96906731f40fe65ceb0b2d42d883558dec315f80a2c1d1d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5DVERAT4M7TJIIO7ODUIP4AWD3/bundle.json","state_url":"https://pith.science/pith/5DVERAT4M7TJIIO7ODUIP4AWD3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5DVERAT4M7TJIIO7ODUIP4AWD3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T23:08:58Z","links":{"resolver":"https://pith.science/pith/5DVERAT4M7TJIIO7ODUIP4AWD3","bundle":"https://pith.science/pith/5DVERAT4M7TJIIO7ODUIP4AWD3/bundle.json","state":"https://pith.science/pith/5DVERAT4M7TJIIO7ODUIP4AWD3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5DVERAT4M7TJIIO7ODUIP4AWD3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:5DVERAT4M7TJIIO7ODUIP4AWD3","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":"1f7265833f4e16cc7cba4284a944b4707bcff37b6e5f8c5980cbfccff40b5900","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-09T08:16:00Z","title_canon_sha256":"db14fa39ff7cf3296a9b0ce36d6605707906e1c60b36d76fcc9b4039b33b3f6f"},"schema_version":"1.0","source":{"id":"2112.04752","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.04752","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"arxiv_version","alias_value":"2112.04752v2","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.04752","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"pith_short_12","alias_value":"5DVERAT4M7TJ","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"pith_short_16","alias_value":"5DVERAT4M7TJIIO7","created_at":"2026-07-05T03:49:27Z"},{"alias_kind":"pith_short_8","alias_value":"5DVERAT4","created_at":"2026-07-05T03:49:27Z"}],"graph_snapshots":[{"event_id":"sha256:aaf5e569b36c7e7a96906731f40fe65ceb0b2d42d883558dec315f80a2c1d1d9","target":"graph","created_at":"2026-07-05T03:49:27Z","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/2112.04752/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-based deep learning models can be promising for speech-and-hearing-impaired and secret communications. While such non-verbal communications are primarily investigated with hand-gestures and facial expressions, no research endeavour is tracked so far for the lips state (i.e., open/close)-based interpretation/translation system. In support of this development, this paper reports two new Convolutional Neural Network (CNN) models for lips state detection. Building upon two prominent lips landmark detectors, DLIB and MediaPipe, we simplify lips-state model with a set of six key landmarks, an","authors_text":"Abtahi Ishmam, Hussain Nyeem, Koushik Roy, Mahmudul Hasan, Md. Akiful Haque Akif, Md. Saif Hassan Onim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-09T08:16:00Z","title":"Modelling Lips-State Detection Using CNN for Non-Verbal Communications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.04752","kind":"arxiv","version":2},"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:ca7f1ceb64ae1b38a3a94dce576a5fd424ab6a9e397db216185ca972f63cafc8","target":"record","created_at":"2026-07-05T03:49:27Z","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":"1f7265833f4e16cc7cba4284a944b4707bcff37b6e5f8c5980cbfccff40b5900","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-09T08:16:00Z","title_canon_sha256":"db14fa39ff7cf3296a9b0ce36d6605707906e1c60b36d76fcc9b4039b33b3f6f"},"schema_version":"1.0","source":{"id":"2112.04752","kind":"arxiv","version":2}},"canonical_sha256":"e8ea48827c67e69421df70e887f0161ec4b6eb77b5098ed8476f0056876f9659","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e8ea48827c67e69421df70e887f0161ec4b6eb77b5098ed8476f0056876f9659","first_computed_at":"2026-07-05T03:49:27.194074Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:49:27.194074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WahqPtWhv4ueuGRrxQTb8l2T+AShD5p+Q3u3drr1G9yArxKhi1dfCSELqsOX37WvGMU13+rGKijU2WErjvOPCw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:49:27.194451Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.04752","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca7f1ceb64ae1b38a3a94dce576a5fd424ab6a9e397db216185ca972f63cafc8","sha256:aaf5e569b36c7e7a96906731f40fe65ceb0b2d42d883558dec315f80a2c1d1d9"],"state_sha256":"98104fa6d8df35d4844a535aeb57cfe29e70a73cf7dad9f968798af9c41866eb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+UTgYajBcJw4GiCINi97rzOfyLKVbatPkupxfFvdD4gUhW/g1nlEz9EvFURe7htjBH2sBlofllFKzc5M9Z1gAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:08:58.258272Z","bundle_sha256":"5fd4d1fff797e869e9f43db0a5088f998533d5d0c70b98ad29eab409017054b0"}}