{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XLQA6HVXIZ5WYLXA2MJVQOOLEC","short_pith_number":"pith:XLQA6HVX","canonical_record":{"source":{"id":"1711.06303","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-16T19:50:46Z","cross_cats_sorted":[],"title_canon_sha256":"cd1cc28cb09fec8e8b24340db3a3d0d7555c24fba61a6306fb2ffbb0743650f9","abstract_canon_sha256":"dba78276323d0e57733089a73c596fecd2f10c206fc0c455fc6417b5b0133c9f"},"schema_version":"1.0"},"canonical_sha256":"bae00f1eb7467b6c2ee0d3135839cb20b1cbe0c959e64d9c4f27c29fe82bc403","source":{"kind":"arxiv","id":"1711.06303","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06303","created_at":"2026-05-18T00:30:21Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06303v1","created_at":"2026-05-18T00:30:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06303","created_at":"2026-05-18T00:30:21Z"},{"alias_kind":"pith_short_12","alias_value":"XLQA6HVXIZ5W","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XLQA6HVXIZ5WYLXA","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XLQA6HVX","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XLQA6HVXIZ5WYLXA2MJVQOOLEC","target":"record","payload":{"canonical_record":{"source":{"id":"1711.06303","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-16T19:50:46Z","cross_cats_sorted":[],"title_canon_sha256":"cd1cc28cb09fec8e8b24340db3a3d0d7555c24fba61a6306fb2ffbb0743650f9","abstract_canon_sha256":"dba78276323d0e57733089a73c596fecd2f10c206fc0c455fc6417b5b0133c9f"},"schema_version":"1.0"},"canonical_sha256":"bae00f1eb7467b6c2ee0d3135839cb20b1cbe0c959e64d9c4f27c29fe82bc403","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:30:21.527302Z","signature_b64":"x2HhuIsy4s3bz48eXpw8m7Yi3UnhfdqfjPWB97uBiwztnMl+zdGYdSIEYpyJPiRgJq3Vdtt3Xs7zIQWwxqs9BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bae00f1eb7467b6c2ee0d3135839cb20b1cbe0c959e64d9c4f27c29fe82bc403","last_reissued_at":"2026-05-18T00:30:21.526534Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:30:21.526534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.06303","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:30:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nvrRv8LUdm+WF5fUwvhxJmWYUH8Byqt87kFD2TlYXFrS76nda5MCDGwlvgZethGoiB075hZFlD+6U0tSDTmOAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T23:00:55.499352Z"},"content_sha256":"a5aa23e356e5b7d361a20c98cdd10cded2499e2a5dc022141a6790a0597064ff","schema_version":"1.0","event_id":"sha256:a5aa23e356e5b7d361a20c98cdd10cded2499e2a5dc022141a6790a0597064ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XLQA6HVXIZ5WYLXA2MJVQOOLEC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Grammatical facial expression recognition using customized deep neural network architecture","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Devesh Walawalkar","submitted_at":"2017-11-16T19:50:46Z","abstract_excerpt":"This paper proposes to expand the visual understanding capacity of computers by helping it recognize human sign language more efficiently. This is carried out through recognition of facial expressions, which accompany the hand signs used in this language. This paper specially focuses on the popular Brazilian sign language (LIBRAS). While classifying different hand signs into their respective word meanings has already seen much literature dedicated to it, the emotions or intention with which the words are expressed haven't primarily been taken into consideration. As from our normal human experi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06303","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":""},"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":"2026-05-18T00:30:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9u03bvvxJTgq/LFYfQpa15I1W2r6S3dDq5yMqLEgED0P8WJQ0DM0v8QDBPOt/3pqeCBjGsqWNKBtcL3Cy8M0DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T23:00:55.500056Z"},"content_sha256":"09ccb29debac1254e3362602ce506770e6eae39bba6ef0851465646df1b3508a","schema_version":"1.0","event_id":"sha256:09ccb29debac1254e3362602ce506770e6eae39bba6ef0851465646df1b3508a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XLQA6HVXIZ5WYLXA2MJVQOOLEC/bundle.json","state_url":"https://pith.science/pith/XLQA6HVXIZ5WYLXA2MJVQOOLEC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XLQA6HVXIZ5WYLXA2MJVQOOLEC/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":"2026-06-05T23:00:55Z","links":{"resolver":"https://pith.science/pith/XLQA6HVXIZ5WYLXA2MJVQOOLEC","bundle":"https://pith.science/pith/XLQA6HVXIZ5WYLXA2MJVQOOLEC/bundle.json","state":"https://pith.science/pith/XLQA6HVXIZ5WYLXA2MJVQOOLEC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XLQA6HVXIZ5WYLXA2MJVQOOLEC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XLQA6HVXIZ5WYLXA2MJVQOOLEC","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":"dba78276323d0e57733089a73c596fecd2f10c206fc0c455fc6417b5b0133c9f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-16T19:50:46Z","title_canon_sha256":"cd1cc28cb09fec8e8b24340db3a3d0d7555c24fba61a6306fb2ffbb0743650f9"},"schema_version":"1.0","source":{"id":"1711.06303","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06303","created_at":"2026-05-18T00:30:21Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06303v1","created_at":"2026-05-18T00:30:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06303","created_at":"2026-05-18T00:30:21Z"},{"alias_kind":"pith_short_12","alias_value":"XLQA6HVXIZ5W","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XLQA6HVXIZ5WYLXA","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XLQA6HVX","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:09ccb29debac1254e3362602ce506770e6eae39bba6ef0851465646df1b3508a","target":"graph","created_at":"2026-05-18T00:30:21Z","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"},"paper":{"abstract_excerpt":"This paper proposes to expand the visual understanding capacity of computers by helping it recognize human sign language more efficiently. This is carried out through recognition of facial expressions, which accompany the hand signs used in this language. This paper specially focuses on the popular Brazilian sign language (LIBRAS). While classifying different hand signs into their respective word meanings has already seen much literature dedicated to it, the emotions or intention with which the words are expressed haven't primarily been taken into consideration. As from our normal human experi","authors_text":"Devesh Walawalkar","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-16T19:50:46Z","title":"Grammatical facial expression recognition using customized deep neural network architecture"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06303","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:a5aa23e356e5b7d361a20c98cdd10cded2499e2a5dc022141a6790a0597064ff","target":"record","created_at":"2026-05-18T00:30:21Z","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":"dba78276323d0e57733089a73c596fecd2f10c206fc0c455fc6417b5b0133c9f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-16T19:50:46Z","title_canon_sha256":"cd1cc28cb09fec8e8b24340db3a3d0d7555c24fba61a6306fb2ffbb0743650f9"},"schema_version":"1.0","source":{"id":"1711.06303","kind":"arxiv","version":1}},"canonical_sha256":"bae00f1eb7467b6c2ee0d3135839cb20b1cbe0c959e64d9c4f27c29fe82bc403","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bae00f1eb7467b6c2ee0d3135839cb20b1cbe0c959e64d9c4f27c29fe82bc403","first_computed_at":"2026-05-18T00:30:21.526534Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:30:21.526534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x2HhuIsy4s3bz48eXpw8m7Yi3UnhfdqfjPWB97uBiwztnMl+zdGYdSIEYpyJPiRgJq3Vdtt3Xs7zIQWwxqs9BA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:30:21.527302Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.06303","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a5aa23e356e5b7d361a20c98cdd10cded2499e2a5dc022141a6790a0597064ff","sha256:09ccb29debac1254e3362602ce506770e6eae39bba6ef0851465646df1b3508a"],"state_sha256":"ca65fbf17b9f111c405425c7e8509d73d856e61a4b800f19198912e1fee04e9f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BKjSzNm+ntSYJRf7ini1T0KHuZp/bhXCc4XjtKXwkhleqROrHDNAJhR7I6UgW3ljT0JWcCDBbGpBbhuD1kWGDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T23:00:55.504261Z","bundle_sha256":"1b0a6460d513093ed25d1ff8a1ff59b46c7386436ab322def218994748054d81"}}