{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GP3TJKOF55PNFTDDHVIMKJF34K","short_pith_number":"pith:GP3TJKOF","canonical_record":{"source":{"id":"2501.13836","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-23T17:01:53Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"6126a131d17e01ab3694479401a969f52eacd9c7745b80c7402debdce078f01e","abstract_canon_sha256":"ba8e7f3380b4331b8d0a9edeb077d8724ced745441316543b6e44fd51d36f1f3"},"schema_version":"1.0"},"canonical_sha256":"33f734a9c5ef5ed2cc633d50c524bbe282993dcf9f32b0ee97faec7cca0a4eb7","source":{"kind":"arxiv","id":"2501.13836","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.13836","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"arxiv_version","alias_value":"2501.13836v3","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13836","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"pith_short_12","alias_value":"GP3TJKOF55PN","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"pith_short_16","alias_value":"GP3TJKOF55PNFTDD","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"pith_short_8","alias_value":"GP3TJKOF","created_at":"2026-07-05T11:48:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GP3TJKOF55PNFTDDHVIMKJF34K","target":"record","payload":{"canonical_record":{"source":{"id":"2501.13836","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-23T17:01:53Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"6126a131d17e01ab3694479401a969f52eacd9c7745b80c7402debdce078f01e","abstract_canon_sha256":"ba8e7f3380b4331b8d0a9edeb077d8724ced745441316543b6e44fd51d36f1f3"},"schema_version":"1.0"},"canonical_sha256":"33f734a9c5ef5ed2cc633d50c524bbe282993dcf9f32b0ee97faec7cca0a4eb7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:47.256505Z","signature_b64":"pmFBo7n6GSsZSXWJKt+sbzpUGql1BYmxpkOhPieTT/N466g9W7q9VHq58B89lE7QRa1UXI0e6ZdWTgJhxHTJBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33f734a9c5ef5ed2cc633d50c524bbe282993dcf9f32b0ee97faec7cca0a4eb7","last_reissued_at":"2026-07-05T11:48:47.256019Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:47.256019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.13836","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:48:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4K50SMo/7YxN21Mf03XYPwIx9AdiKr8tPVMkQL6FeMYxrb8DaCv9T0B87AlfgZhld5dhqmE0WOxo70jcJIsgCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:58:49.890570Z"},"content_sha256":"ab74079ec17a27fc7028503db86d9e01565231bdefd65b92a58a78c79f19b39f","schema_version":"1.0","event_id":"sha256:ab74079ec17a27fc7028503db86d9e01565231bdefd65b92a58a78c79f19b39f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GP3TJKOF55PNFTDDHVIMKJF34K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Think Outside the Data: Colonial Biases and Systemic Issues in Automated Moderation Pipelines for Low-Resource Languages","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.CL","authors_text":"Aditya Vashistha, Farhana Shahid, Mona Elswah","submitted_at":"2025-01-23T17:01:53Z","abstract_excerpt":"Most social media users come from the Global South, where harmful content usually appears in local languages. Yet, AI-driven moderation systems struggle with low-resource languages spoken in these regions. Through semi-structured interviews with 22 AI experts working on harmful content detection in four low-resource languages: Tamil (South Asia), Swahili (East Africa), Maghrebi Arabic (North Africa), and Quechua (South America)--we examine systemic issues in building automated moderation tools for these languages. Our findings reveal that beyond data scarcity, socio-political factors such as t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13836","kind":"arxiv","version":3},"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/2501.13836/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":"2026-07-05T11:48:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ourm9kXbRj1Wc4ntoeuX1MyFa74so1p0Oa5mFwNG8pKH83Rg7ZNxcxH3PG9uqEK47pjBm/6+emyb4oXfDV5EAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:58:49.891073Z"},"content_sha256":"51dc694da60f4004f7f711d901620a7b1a911019868bff6c3b3a070925339792","schema_version":"1.0","event_id":"sha256:51dc694da60f4004f7f711d901620a7b1a911019868bff6c3b3a070925339792"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GP3TJKOF55PNFTDDHVIMKJF34K/bundle.json","state_url":"https://pith.science/pith/GP3TJKOF55PNFTDDHVIMKJF34K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GP3TJKOF55PNFTDDHVIMKJF34K/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":"2026-08-04T09:58:49Z","links":{"resolver":"https://pith.science/pith/GP3TJKOF55PNFTDDHVIMKJF34K","bundle":"https://pith.science/pith/GP3TJKOF55PNFTDDHVIMKJF34K/bundle.json","state":"https://pith.science/pith/GP3TJKOF55PNFTDDHVIMKJF34K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GP3TJKOF55PNFTDDHVIMKJF34K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GP3TJKOF55PNFTDDHVIMKJF34K","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":"ba8e7f3380b4331b8d0a9edeb077d8724ced745441316543b6e44fd51d36f1f3","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-23T17:01:53Z","title_canon_sha256":"6126a131d17e01ab3694479401a969f52eacd9c7745b80c7402debdce078f01e"},"schema_version":"1.0","source":{"id":"2501.13836","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.13836","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"arxiv_version","alias_value":"2501.13836v3","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13836","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"pith_short_12","alias_value":"GP3TJKOF55PN","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"pith_short_16","alias_value":"GP3TJKOF55PNFTDD","created_at":"2026-07-05T11:48:47Z"},{"alias_kind":"pith_short_8","alias_value":"GP3TJKOF","created_at":"2026-07-05T11:48:47Z"}],"graph_snapshots":[{"event_id":"sha256:51dc694da60f4004f7f711d901620a7b1a911019868bff6c3b3a070925339792","target":"graph","created_at":"2026-07-05T11:48:47Z","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/2501.13836/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most social media users come from the Global South, where harmful content usually appears in local languages. Yet, AI-driven moderation systems struggle with low-resource languages spoken in these regions. Through semi-structured interviews with 22 AI experts working on harmful content detection in four low-resource languages: Tamil (South Asia), Swahili (East Africa), Maghrebi Arabic (North Africa), and Quechua (South America)--we examine systemic issues in building automated moderation tools for these languages. Our findings reveal that beyond data scarcity, socio-political factors such as t","authors_text":"Aditya Vashistha, Farhana Shahid, Mona Elswah","cross_cats":["cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-23T17:01:53Z","title":"Think Outside the Data: Colonial Biases and Systemic Issues in Automated Moderation Pipelines for Low-Resource Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13836","kind":"arxiv","version":3},"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:ab74079ec17a27fc7028503db86d9e01565231bdefd65b92a58a78c79f19b39f","target":"record","created_at":"2026-07-05T11:48:47Z","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":"ba8e7f3380b4331b8d0a9edeb077d8724ced745441316543b6e44fd51d36f1f3","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-23T17:01:53Z","title_canon_sha256":"6126a131d17e01ab3694479401a969f52eacd9c7745b80c7402debdce078f01e"},"schema_version":"1.0","source":{"id":"2501.13836","kind":"arxiv","version":3}},"canonical_sha256":"33f734a9c5ef5ed2cc633d50c524bbe282993dcf9f32b0ee97faec7cca0a4eb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33f734a9c5ef5ed2cc633d50c524bbe282993dcf9f32b0ee97faec7cca0a4eb7","first_computed_at":"2026-07-05T11:48:47.256019Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:47.256019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pmFBo7n6GSsZSXWJKt+sbzpUGql1BYmxpkOhPieTT/N466g9W7q9VHq58B89lE7QRa1UXI0e6ZdWTgJhxHTJBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:47.256505Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.13836","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab74079ec17a27fc7028503db86d9e01565231bdefd65b92a58a78c79f19b39f","sha256:51dc694da60f4004f7f711d901620a7b1a911019868bff6c3b3a070925339792"],"state_sha256":"97612ca3d98aeddfe030b121f7921ffdba7acca49a2620abd01753fd013c60bb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r47t929CmIKZzBNVDHRFgH04eLB6wsEoFGyCFf50ldYk2AtT5K32PG3gjMbQASbaQJMlOFk6TOev/+xnryfLCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:58:49.895110Z","bundle_sha256":"e4d6fe9c0ae75f7a449cc4121665ff631df11daf681654e48895adb7ebc9101b"}}