{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:57X3PQPBQPTFPHEXFUXX2BGGZU","short_pith_number":"pith:57X3PQPB","canonical_record":{"source":{"id":"2311.05155","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-09T05:46:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a54b0286b47498c80094ca21718b95d6d5a9cc86a3d515c627e00f7da9454fd4","abstract_canon_sha256":"0c008224cfcc1a988d2592b5b7d17aa14dbfe98a01a0c1fc9a8a691d9b222a3d"},"schema_version":"1.0"},"canonical_sha256":"efefb7c1e183e6579c972d2f7d04c6cd0bc89dc26c1064c38444799872644aae","source":{"kind":"arxiv","id":"2311.05155","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05155","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05155v1","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05155","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"pith_short_12","alias_value":"57X3PQPBQPTF","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"pith_short_16","alias_value":"57X3PQPBQPTFPHEX","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"pith_short_8","alias_value":"57X3PQPB","created_at":"2026-07-05T07:10:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:57X3PQPBQPTFPHEXFUXX2BGGZU","target":"record","payload":{"canonical_record":{"source":{"id":"2311.05155","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-09T05:46:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a54b0286b47498c80094ca21718b95d6d5a9cc86a3d515c627e00f7da9454fd4","abstract_canon_sha256":"0c008224cfcc1a988d2592b5b7d17aa14dbfe98a01a0c1fc9a8a691d9b222a3d"},"schema_version":"1.0"},"canonical_sha256":"efefb7c1e183e6579c972d2f7d04c6cd0bc89dc26c1064c38444799872644aae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:10:55.321003Z","signature_b64":"yBhlTeqyyn4VSdFAxeLKNukQbgOwlkP1y5xWv0Ak75AI4HZ7p8fhiS2myv54JDf4w8mySZXx17Y4rxdM5VLGBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"efefb7c1e183e6579c972d2f7d04c6cd0bc89dc26c1064c38444799872644aae","last_reissued_at":"2026-07-05T07:10:55.320546Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:10:55.320546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.05155","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":"2026-07-05T07:10:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rNUYp/u1zU8U4LiQ2TI8ewAPh4wABlNeKXN9ZK02b5FKDRNXF57U6sdkb0oNyCc2ZgrJ/a/n4ud0N137eQg4AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:11:30.745727Z"},"content_sha256":"2cdb60e7f0d1460d33550f1b64956e29c22021fdeda94e0897fd7301c4238a20","schema_version":"1.0","event_id":"sha256:2cdb60e7f0d1460d33550f1b64956e29c22021fdeda94e0897fd7301c4238a20"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:57X3PQPBQPTFPHEXFUXX2BGGZU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"John P. McCrae, Koustava Goswami, Priya Rani, Theodorus Fransen","submitted_at":"2023-11-09T05:46:41Z","abstract_excerpt":"Exploiting cognates for transfer learning in under-resourced languages is an exciting opportunity for language understanding tasks, including unsupervised machine translation, named entity recognition and information retrieval. Previous approaches mainly focused on supervised cognate detection tasks based on orthographic, phonetic or state-of-the-art contextual language models, which under-perform for most under-resourced languages. This paper proposes a novel language-agnostic weakly-supervised deep cognate detection framework for under-resourced languages using morphological knowledge from c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05155","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/2311.05155/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":"2026-07-05T07:10:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bJgKjMhBuBIG+7skgYAfrNLuDJBRRV7evBxcoc3An1sTQ4oFRXUrEW9xMqlpgfJCF/q0nG3XPfPuu85mzAoeBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:11:30.746103Z"},"content_sha256":"cebc819b3535918ecf16b314f0b0318b2be31d926686d66632031b76737c3a6b","schema_version":"1.0","event_id":"sha256:cebc819b3535918ecf16b314f0b0318b2be31d926686d66632031b76737c3a6b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/57X3PQPBQPTFPHEXFUXX2BGGZU/bundle.json","state_url":"https://pith.science/pith/57X3PQPBQPTFPHEXFUXX2BGGZU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/57X3PQPBQPTFPHEXFUXX2BGGZU/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":"2026-07-07T14:11:30Z","links":{"resolver":"https://pith.science/pith/57X3PQPBQPTFPHEXFUXX2BGGZU","bundle":"https://pith.science/pith/57X3PQPBQPTFPHEXFUXX2BGGZU/bundle.json","state":"https://pith.science/pith/57X3PQPBQPTFPHEXFUXX2BGGZU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/57X3PQPBQPTFPHEXFUXX2BGGZU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:57X3PQPBQPTFPHEXFUXX2BGGZU","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":"0c008224cfcc1a988d2592b5b7d17aa14dbfe98a01a0c1fc9a8a691d9b222a3d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-09T05:46:41Z","title_canon_sha256":"a54b0286b47498c80094ca21718b95d6d5a9cc86a3d515c627e00f7da9454fd4"},"schema_version":"1.0","source":{"id":"2311.05155","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05155","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05155v1","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05155","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"pith_short_12","alias_value":"57X3PQPBQPTF","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"pith_short_16","alias_value":"57X3PQPBQPTFPHEX","created_at":"2026-07-05T07:10:55Z"},{"alias_kind":"pith_short_8","alias_value":"57X3PQPB","created_at":"2026-07-05T07:10:55Z"}],"graph_snapshots":[{"event_id":"sha256:cebc819b3535918ecf16b314f0b0318b2be31d926686d66632031b76737c3a6b","target":"graph","created_at":"2026-07-05T07:10:55Z","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/2311.05155/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Exploiting cognates for transfer learning in under-resourced languages is an exciting opportunity for language understanding tasks, including unsupervised machine translation, named entity recognition and information retrieval. Previous approaches mainly focused on supervised cognate detection tasks based on orthographic, phonetic or state-of-the-art contextual language models, which under-perform for most under-resourced languages. This paper proposes a novel language-agnostic weakly-supervised deep cognate detection framework for under-resourced languages using morphological knowledge from c","authors_text":"John P. McCrae, Koustava Goswami, Priya Rani, Theodorus Fransen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-09T05:46:41Z","title":"Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05155","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":"sha256:2cdb60e7f0d1460d33550f1b64956e29c22021fdeda94e0897fd7301c4238a20","target":"record","created_at":"2026-07-05T07:10:55Z","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":"0c008224cfcc1a988d2592b5b7d17aa14dbfe98a01a0c1fc9a8a691d9b222a3d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-09T05:46:41Z","title_canon_sha256":"a54b0286b47498c80094ca21718b95d6d5a9cc86a3d515c627e00f7da9454fd4"},"schema_version":"1.0","source":{"id":"2311.05155","kind":"arxiv","version":1}},"canonical_sha256":"efefb7c1e183e6579c972d2f7d04c6cd0bc89dc26c1064c38444799872644aae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efefb7c1e183e6579c972d2f7d04c6cd0bc89dc26c1064c38444799872644aae","first_computed_at":"2026-07-05T07:10:55.320546Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:10:55.320546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yBhlTeqyyn4VSdFAxeLKNukQbgOwlkP1y5xWv0Ak75AI4HZ7p8fhiS2myv54JDf4w8mySZXx17Y4rxdM5VLGBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:10:55.321003Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.05155","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2cdb60e7f0d1460d33550f1b64956e29c22021fdeda94e0897fd7301c4238a20","sha256:cebc819b3535918ecf16b314f0b0318b2be31d926686d66632031b76737c3a6b"],"state_sha256":"f23e7b5b77959fe5121f663515221f3aa3cbf4045dd4cb9bd0019001befc9c09"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oxrtBFa8KZ0ONYPKpGWCHZzSo0kBB5qymq47c+J9yWUxP4Oms4VdOJvezlgbDp/onHZi4U92znD3WMrcvYlCAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T14:11:30.748058Z","bundle_sha256":"c1751c9598ad08632f94205117e4b3ac3ad85600ac6c46241fc5ca00ec6b8c15"}}