{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FSGOB76RV5GNYMR7O73VFUMGO2","short_pith_number":"pith:FSGOB76R","canonical_record":{"source":{"id":"2407.12620","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-17T14:46:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"23fe06b33e705d73c2dc41b880df5ccd4986a9b4b339ab362642092f02903367","abstract_canon_sha256":"2d46f6498021664bfb3373f3c179594505db9ce92523001b6355cc66ef9a1c20"},"schema_version":"1.0"},"canonical_sha256":"2c8ce0ffd1af4cdc323f77f752d18676b8abbd4d630918c4bc9e3153abeac11b","source":{"kind":"arxiv","id":"2407.12620","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12620","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12620v2","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12620","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"pith_short_12","alias_value":"FSGOB76RV5GN","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"pith_short_16","alias_value":"FSGOB76RV5GNYMR7","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"pith_short_8","alias_value":"FSGOB76R","created_at":"2026-07-05T08:49:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FSGOB76RV5GNYMR7O73VFUMGO2","target":"record","payload":{"canonical_record":{"source":{"id":"2407.12620","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-17T14:46:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"23fe06b33e705d73c2dc41b880df5ccd4986a9b4b339ab362642092f02903367","abstract_canon_sha256":"2d46f6498021664bfb3373f3c179594505db9ce92523001b6355cc66ef9a1c20"},"schema_version":"1.0"},"canonical_sha256":"2c8ce0ffd1af4cdc323f77f752d18676b8abbd4d630918c4bc9e3153abeac11b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:49:36.777079Z","signature_b64":"vPi/wlJy9YS9LvUGc08BYX5yrsNZBuoNOBeqs3uAzxP2X13kSRWLsYUiWizOCS5b+ByWTRWD5IeZxNybHldCAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c8ce0ffd1af4cdc323f77f752d18676b8abbd4d630918c4bc9e3153abeac11b","last_reissued_at":"2026-07-05T08:49:36.776573Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:49:36.776573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.12620","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":"2026-07-05T08:49:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZkeGoH6rbYIzGwt4c6uWdyV5znZJJqnS+lgFHjrnvOs99HKGT78TMfXHWjcQDm5i0nGvZ7bma23L5+woT//sCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T18:43:45.767362Z"},"content_sha256":"d21561f4a55b14ba8765d57602fa3d41c74230efde9bdaadcc3c3f4980a6989a","schema_version":"1.0","event_id":"sha256:d21561f4a55b14ba8765d57602fa3d41c74230efde9bdaadcc3c3f4980a6989a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FSGOB76RV5GNYMR7O73VFUMGO2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Harnessing the Power of Artificial Intelligence to Vitalize Endangered Indigenous Languages: Technologies and Experiences","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Alexander Cobbinah, Claudio Pinhanez, Isabel Gon\\c{c}alves, Julio Nogima, Luciana Storto, Majo\\'i Gongora, Marisa Vasconcelos, Nicole Grell, Paulo Cavalin, Pedro Domingues, Priscila de Souza Mizukami, Thomas Finbow","submitted_at":"2024-07-17T14:46:37Z","abstract_excerpt":"Since 2022 we have been exploring application areas and technologies in which Artificial Intelligence (AI) and modern Natural Language Processing (NLP), such as Large Language Models (LLMs), can be employed to foster the usage and facilitate the documentation of Indigenous languages which are in danger of disappearing. We start by discussing the decreasing diversity of languages in the world and how working with Indigenous languages poses unique ethical challenges for AI and NLP. To address those challenges, we propose an alternative development AI cycle based on community engagement and usage"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12620","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/2407.12620/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":"2026-07-05T08:49:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dQG1MxAaifw3i2EkuYdNW3fohYYSaQvrGMBM3soxFcZ7Esu3BMLtAEJjfQn1b8U8yuBShsXsYnjWiVWhMVquAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T18:43:45.768281Z"},"content_sha256":"3110662e276166d8ceec8c8721247bef12ddde5537358e3b107d5d1a028baacc","schema_version":"1.0","event_id":"sha256:3110662e276166d8ceec8c8721247bef12ddde5537358e3b107d5d1a028baacc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FSGOB76RV5GNYMR7O73VFUMGO2/bundle.json","state_url":"https://pith.science/pith/FSGOB76RV5GNYMR7O73VFUMGO2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FSGOB76RV5GNYMR7O73VFUMGO2/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":"2026-08-10T18:43:45Z","links":{"resolver":"https://pith.science/pith/FSGOB76RV5GNYMR7O73VFUMGO2","bundle":"https://pith.science/pith/FSGOB76RV5GNYMR7O73VFUMGO2/bundle.json","state":"https://pith.science/pith/FSGOB76RV5GNYMR7O73VFUMGO2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FSGOB76RV5GNYMR7O73VFUMGO2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FSGOB76RV5GNYMR7O73VFUMGO2","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":"2d46f6498021664bfb3373f3c179594505db9ce92523001b6355cc66ef9a1c20","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-17T14:46:37Z","title_canon_sha256":"23fe06b33e705d73c2dc41b880df5ccd4986a9b4b339ab362642092f02903367"},"schema_version":"1.0","source":{"id":"2407.12620","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12620","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12620v2","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12620","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"pith_short_12","alias_value":"FSGOB76RV5GN","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"pith_short_16","alias_value":"FSGOB76RV5GNYMR7","created_at":"2026-07-05T08:49:36Z"},{"alias_kind":"pith_short_8","alias_value":"FSGOB76R","created_at":"2026-07-05T08:49:36Z"}],"graph_snapshots":[{"event_id":"sha256:3110662e276166d8ceec8c8721247bef12ddde5537358e3b107d5d1a028baacc","target":"graph","created_at":"2026-07-05T08:49:36Z","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/2407.12620/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Since 2022 we have been exploring application areas and technologies in which Artificial Intelligence (AI) and modern Natural Language Processing (NLP), such as Large Language Models (LLMs), can be employed to foster the usage and facilitate the documentation of Indigenous languages which are in danger of disappearing. We start by discussing the decreasing diversity of languages in the world and how working with Indigenous languages poses unique ethical challenges for AI and NLP. To address those challenges, we propose an alternative development AI cycle based on community engagement and usage","authors_text":"Alexander Cobbinah, Claudio Pinhanez, Isabel Gon\\c{c}alves, Julio Nogima, Luciana Storto, Majo\\'i Gongora, Marisa Vasconcelos, Nicole Grell, Paulo Cavalin, Pedro Domingues, Priscila de Souza Mizukami, Thomas Finbow","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-17T14:46:37Z","title":"Harnessing the Power of Artificial Intelligence to Vitalize Endangered Indigenous Languages: Technologies and Experiences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12620","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:d21561f4a55b14ba8765d57602fa3d41c74230efde9bdaadcc3c3f4980a6989a","target":"record","created_at":"2026-07-05T08:49:36Z","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":"2d46f6498021664bfb3373f3c179594505db9ce92523001b6355cc66ef9a1c20","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-17T14:46:37Z","title_canon_sha256":"23fe06b33e705d73c2dc41b880df5ccd4986a9b4b339ab362642092f02903367"},"schema_version":"1.0","source":{"id":"2407.12620","kind":"arxiv","version":2}},"canonical_sha256":"2c8ce0ffd1af4cdc323f77f752d18676b8abbd4d630918c4bc9e3153abeac11b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c8ce0ffd1af4cdc323f77f752d18676b8abbd4d630918c4bc9e3153abeac11b","first_computed_at":"2026-07-05T08:49:36.776573Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:49:36.776573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vPi/wlJy9YS9LvUGc08BYX5yrsNZBuoNOBeqs3uAzxP2X13kSRWLsYUiWizOCS5b+ByWTRWD5IeZxNybHldCAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:49:36.777079Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.12620","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d21561f4a55b14ba8765d57602fa3d41c74230efde9bdaadcc3c3f4980a6989a","sha256:3110662e276166d8ceec8c8721247bef12ddde5537358e3b107d5d1a028baacc"],"state_sha256":"4f6616c75fb52945d54bbfb5ff06663fd1fa98cdb1abbb475311a19376170744"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DQ+4ulNUKZoL8264iuMWmAAThnrEFjxM2vWJm1OsL65+nSuF5T+XNOrk189U5rvH/T88u3B3UenuTZ+1k4WcBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T18:43:45.773297Z","bundle_sha256":"14d3e9292809e90f497034b5b4785e312a0d0ba4f4d624a8ea067bdefe0f40b6"}}