{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ZQVPUFTJZOCHLDTNWPVGA4JW6H","short_pith_number":"pith:ZQVPUFTJ","canonical_record":{"source":{"id":"1804.00832","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-03T05:33:38Z","cross_cats_sorted":[],"title_canon_sha256":"fc05c4b97aa4619d94c743f66aab5d7da0004d4d5ca7fd8f643fddadc3fdae77","abstract_canon_sha256":"1a344a574a1042b16478ae62199c891393edac0b2da921b781b1ba06600d168b"},"schema_version":"1.0"},"canonical_sha256":"cc2afa1669cb84758e6db3ea607136f1f12fa821d44de955f89e91b30daa35d9","source":{"kind":"arxiv","id":"1804.00832","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.00832","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"arxiv_version","alias_value":"1804.00832v2","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00832","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"pith_short_12","alias_value":"ZQVPUFTJZOCH","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZQVPUFTJZOCHLDTN","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZQVPUFTJ","created_at":"2026-05-18T12:33:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ZQVPUFTJZOCHLDTNWPVGA4JW6H","target":"record","payload":{"canonical_record":{"source":{"id":"1804.00832","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-03T05:33:38Z","cross_cats_sorted":[],"title_canon_sha256":"fc05c4b97aa4619d94c743f66aab5d7da0004d4d5ca7fd8f643fddadc3fdae77","abstract_canon_sha256":"1a344a574a1042b16478ae62199c891393edac0b2da921b781b1ba06600d168b"},"schema_version":"1.0"},"canonical_sha256":"cc2afa1669cb84758e6db3ea607136f1f12fa821d44de955f89e91b30daa35d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:01.365532Z","signature_b64":"E9smiO01RTyQEqaKIV0cnAmRa5tQY5ropBEllsdtlf5pTnFEJ29y974agD012KfXApauz5KtLQmPCPUX8GeBCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc2afa1669cb84758e6db3ea607136f1f12fa821d44de955f89e91b30daa35d9","last_reissued_at":"2026-05-18T00:02:01.364967Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:01.364967Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.00832","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":"2026-05-18T00:02:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BeGaU/5Hetr8yZjTnE+WAM3IyDQC0Wu9dIWqLhG79o4RB57jQmhHrV9h9i4ClkuzWJbPBSgLEQAkDlJMg4cxCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:09:44.610593Z"},"content_sha256":"21e844523bf82409e70f8ff53bf16d637f4cf5546c300ca602c8ab8af101b7f7","schema_version":"1.0","event_id":"sha256:21e844523bf82409e70f8ff53bf16d637f4cf5546c300ca602c8ab8af101b7f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ZQVPUFTJZOCHLDTNWPVGA4JW6H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yor\\`ub\\'a Language Text","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Iroro Orife","submitted_at":"2018-04-03T05:33:38Z","abstract_excerpt":"Yor\\`ub\\'a is a widely spoken West African language with a writing system rich in tonal and orthographic diacritics. With very few exceptions, diacritics are omitted from electronic texts, due to limited device and application support. Diacritics provide morphological information, are crucial for lexical disambiguation, pronunciation and are vital for any Yor\\`ub\\'a text-to-speech (TTS), automatic speech recognition (ASR) and natural language processing (NLP) tasks. Reframing Automatic Diacritic Restoration (ADR) as a machine translation task, we experiment with two different attentive Sequenc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00832","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":""},"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":"2026-05-18T00:02:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8gkKZj1h8+zZFS1l78lGNajtS6Gg6/tUIe4bINalXo9v5FT88RmPy8CxnKvz29YFyo7MNaCp7SpN856FjKJVBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:09:44.610944Z"},"content_sha256":"ebfc5c6f427bdbc9b1b915c2aa27c82243d95d60795f20ee96ec937001b26a34","schema_version":"1.0","event_id":"sha256:ebfc5c6f427bdbc9b1b915c2aa27c82243d95d60795f20ee96ec937001b26a34"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZQVPUFTJZOCHLDTNWPVGA4JW6H/bundle.json","state_url":"https://pith.science/pith/ZQVPUFTJZOCHLDTNWPVGA4JW6H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZQVPUFTJZOCHLDTNWPVGA4JW6H/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":"2026-06-03T22:09:44Z","links":{"resolver":"https://pith.science/pith/ZQVPUFTJZOCHLDTNWPVGA4JW6H","bundle":"https://pith.science/pith/ZQVPUFTJZOCHLDTNWPVGA4JW6H/bundle.json","state":"https://pith.science/pith/ZQVPUFTJZOCHLDTNWPVGA4JW6H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZQVPUFTJZOCHLDTNWPVGA4JW6H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ZQVPUFTJZOCHLDTNWPVGA4JW6H","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":"1a344a574a1042b16478ae62199c891393edac0b2da921b781b1ba06600d168b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-03T05:33:38Z","title_canon_sha256":"fc05c4b97aa4619d94c743f66aab5d7da0004d4d5ca7fd8f643fddadc3fdae77"},"schema_version":"1.0","source":{"id":"1804.00832","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.00832","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"arxiv_version","alias_value":"1804.00832v2","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00832","created_at":"2026-05-18T00:02:01Z"},{"alias_kind":"pith_short_12","alias_value":"ZQVPUFTJZOCH","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZQVPUFTJZOCHLDTN","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZQVPUFTJ","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:ebfc5c6f427bdbc9b1b915c2aa27c82243d95d60795f20ee96ec937001b26a34","target":"graph","created_at":"2026-05-18T00:02:01Z","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":"Yor\\`ub\\'a is a widely spoken West African language with a writing system rich in tonal and orthographic diacritics. With very few exceptions, diacritics are omitted from electronic texts, due to limited device and application support. Diacritics provide morphological information, are crucial for lexical disambiguation, pronunciation and are vital for any Yor\\`ub\\'a text-to-speech (TTS), automatic speech recognition (ASR) and natural language processing (NLP) tasks. Reframing Automatic Diacritic Restoration (ADR) as a machine translation task, we experiment with two different attentive Sequenc","authors_text":"Iroro Orife","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-03T05:33:38Z","title":"Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yor\\`ub\\'a Language Text"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00832","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":"sha256:21e844523bf82409e70f8ff53bf16d637f4cf5546c300ca602c8ab8af101b7f7","target":"record","created_at":"2026-05-18T00:02:01Z","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":"1a344a574a1042b16478ae62199c891393edac0b2da921b781b1ba06600d168b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-03T05:33:38Z","title_canon_sha256":"fc05c4b97aa4619d94c743f66aab5d7da0004d4d5ca7fd8f643fddadc3fdae77"},"schema_version":"1.0","source":{"id":"1804.00832","kind":"arxiv","version":2}},"canonical_sha256":"cc2afa1669cb84758e6db3ea607136f1f12fa821d44de955f89e91b30daa35d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc2afa1669cb84758e6db3ea607136f1f12fa821d44de955f89e91b30daa35d9","first_computed_at":"2026-05-18T00:02:01.364967Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:01.364967Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E9smiO01RTyQEqaKIV0cnAmRa5tQY5ropBEllsdtlf5pTnFEJ29y974agD012KfXApauz5KtLQmPCPUX8GeBCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:01.365532Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.00832","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:21e844523bf82409e70f8ff53bf16d637f4cf5546c300ca602c8ab8af101b7f7","sha256:ebfc5c6f427bdbc9b1b915c2aa27c82243d95d60795f20ee96ec937001b26a34"],"state_sha256":"91b6b8719dcfeb1c65ed715cbd2560de293c12b4969743f786ca6c00af75ddd8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JNJedjZR6w8iAGgr5S1bc9rlUvahMwy8xhDba/V1YIpXq82KoAx7X+TaiiUmJfkq+iecTRDwjOculKvUVchkCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T22:09:44.612976Z","bundle_sha256":"4bc743669c4d34366ca05ccd19008515be9c8a4c45d1266e69a7cd3f7abdf292"}}