{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:2U4DMYZRRF3L4MGWXH6ZKNFWCS","short_pith_number":"pith:2U4DMYZR","canonical_record":{"source":{"id":"2103.10195","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-18T12:01:13Z","cross_cats_sorted":[],"title_canon_sha256":"b632fd5f7cced03e8adbc2db18f7000de1095cc8e06f961e481b1ef378c0f7f2","abstract_canon_sha256":"7c12535375e8157bd649b50d1e525fc4cdf604f28a3889c4cff6947c7b273361"},"schema_version":"1.0"},"canonical_sha256":"d5383663318976be30d6b9fd9534b614a11b7184906319abd597e5f6b9c5c38a","source":{"kind":"arxiv","id":"2103.10195","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.10195","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"arxiv_version","alias_value":"2103.10195v1","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.10195","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"pith_short_12","alias_value":"2U4DMYZRRF3L","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"pith_short_16","alias_value":"2U4DMYZRRF3L4MGW","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"pith_short_8","alias_value":"2U4DMYZR","created_at":"2026-07-05T02:24:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:2U4DMYZRRF3L4MGWXH6ZKNFWCS","target":"record","payload":{"canonical_record":{"source":{"id":"2103.10195","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-18T12:01:13Z","cross_cats_sorted":[],"title_canon_sha256":"b632fd5f7cced03e8adbc2db18f7000de1095cc8e06f961e481b1ef378c0f7f2","abstract_canon_sha256":"7c12535375e8157bd649b50d1e525fc4cdf604f28a3889c4cff6947c7b273361"},"schema_version":"1.0"},"canonical_sha256":"d5383663318976be30d6b9fd9534b614a11b7184906319abd597e5f6b9c5c38a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:24:17.675954Z","signature_b64":"np/7of2n8O5laAFjZxHfpszWaT4ilE1Fzw+dM5XadN03jgTpl2XqG5pmHNxNe1JMdnNEuTJWJKsp5zu/FXN9CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5383663318976be30d6b9fd9534b614a11b7184906319abd597e5f6b9c5c38a","last_reissued_at":"2026-07-05T02:24:17.675432Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:24:17.675432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.10195","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":"2026-07-05T02:24:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JV/SHjyojTM/S8Up3SenkgpEZROFI0u7lBLCAFjtNOZXKXz1cQ3E6BwlpBgUkeHq8hh7kxdqG0+tJDVfUPNzBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T02:39:29.092604Z"},"content_sha256":"8da38b351f37c35f896d9092cac8caf8d86c7c3e1e16c5598d1f18e1110546be","schema_version":"1.0","event_id":"sha256:8da38b351f37c35f896d9092cac8caf8d86c7c3e1e16c5598d1f18e1110546be"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:2U4DMYZRRF3L4MGWXH6ZKNFWCS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bilal Ghanem, Hala Mulki","submitted_at":"2021-03-18T12:01:13Z","abstract_excerpt":"Online misogyny has become an increasing worry for Arab women who experience gender-based online abuse on a daily basis. Misogyny automatic detection systems can assist in the prohibition of anti-women Arabic toxic content. Developing such systems is hindered by the lack of the Arabic misogyny benchmark datasets. In this paper, we introduce an Arabic Levantine Twitter dataset for Misogynistic language (LeT-Mi) to be the first benchmark dataset for Arabic misogyny. We further provide a detailed review of the dataset creation and annotation phases. The consistency of the annotations for the prop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.10195","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/2103.10195/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":"2026-07-05T02:24:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WO3HEOg/h87y8+djE3stooGD2AvCKolBnOuZloVOj9/qb3chxr0X2/xGoyK96fUYHLCfZPZObeAjMvSRIbBqCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T02:39:29.092981Z"},"content_sha256":"5f26c1c751cb006f075e569a73fc6a94d8fd6aa1866be65463cae3750213692d","schema_version":"1.0","event_id":"sha256:5f26c1c751cb006f075e569a73fc6a94d8fd6aa1866be65463cae3750213692d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2U4DMYZRRF3L4MGWXH6ZKNFWCS/bundle.json","state_url":"https://pith.science/pith/2U4DMYZRRF3L4MGWXH6ZKNFWCS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2U4DMYZRRF3L4MGWXH6ZKNFWCS/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":"2026-07-18T02:39:29Z","links":{"resolver":"https://pith.science/pith/2U4DMYZRRF3L4MGWXH6ZKNFWCS","bundle":"https://pith.science/pith/2U4DMYZRRF3L4MGWXH6ZKNFWCS/bundle.json","state":"https://pith.science/pith/2U4DMYZRRF3L4MGWXH6ZKNFWCS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2U4DMYZRRF3L4MGWXH6ZKNFWCS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:2U4DMYZRRF3L4MGWXH6ZKNFWCS","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":"7c12535375e8157bd649b50d1e525fc4cdf604f28a3889c4cff6947c7b273361","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-18T12:01:13Z","title_canon_sha256":"b632fd5f7cced03e8adbc2db18f7000de1095cc8e06f961e481b1ef378c0f7f2"},"schema_version":"1.0","source":{"id":"2103.10195","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.10195","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"arxiv_version","alias_value":"2103.10195v1","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.10195","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"pith_short_12","alias_value":"2U4DMYZRRF3L","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"pith_short_16","alias_value":"2U4DMYZRRF3L4MGW","created_at":"2026-07-05T02:24:17Z"},{"alias_kind":"pith_short_8","alias_value":"2U4DMYZR","created_at":"2026-07-05T02:24:17Z"}],"graph_snapshots":[{"event_id":"sha256:5f26c1c751cb006f075e569a73fc6a94d8fd6aa1866be65463cae3750213692d","target":"graph","created_at":"2026-07-05T02:24:17Z","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/2103.10195/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Online misogyny has become an increasing worry for Arab women who experience gender-based online abuse on a daily basis. Misogyny automatic detection systems can assist in the prohibition of anti-women Arabic toxic content. Developing such systems is hindered by the lack of the Arabic misogyny benchmark datasets. In this paper, we introduce an Arabic Levantine Twitter dataset for Misogynistic language (LeT-Mi) to be the first benchmark dataset for Arabic misogyny. We further provide a detailed review of the dataset creation and annotation phases. The consistency of the annotations for the prop","authors_text":"Bilal Ghanem, Hala Mulki","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-18T12:01:13Z","title":"Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.10195","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":"sha256:8da38b351f37c35f896d9092cac8caf8d86c7c3e1e16c5598d1f18e1110546be","target":"record","created_at":"2026-07-05T02:24:17Z","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":"7c12535375e8157bd649b50d1e525fc4cdf604f28a3889c4cff6947c7b273361","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-03-18T12:01:13Z","title_canon_sha256":"b632fd5f7cced03e8adbc2db18f7000de1095cc8e06f961e481b1ef378c0f7f2"},"schema_version":"1.0","source":{"id":"2103.10195","kind":"arxiv","version":1}},"canonical_sha256":"d5383663318976be30d6b9fd9534b614a11b7184906319abd597e5f6b9c5c38a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5383663318976be30d6b9fd9534b614a11b7184906319abd597e5f6b9c5c38a","first_computed_at":"2026-07-05T02:24:17.675432Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:24:17.675432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"np/7of2n8O5laAFjZxHfpszWaT4ilE1Fzw+dM5XadN03jgTpl2XqG5pmHNxNe1JMdnNEuTJWJKsp5zu/FXN9CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:24:17.675954Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.10195","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8da38b351f37c35f896d9092cac8caf8d86c7c3e1e16c5598d1f18e1110546be","sha256:5f26c1c751cb006f075e569a73fc6a94d8fd6aa1866be65463cae3750213692d"],"state_sha256":"2f053d6ec359eb0982a785d9031a077a9c45bd51e1cabda9cf549c5512c092d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/lSOkQ+ZqlDnChdo4lmNExhoEJwc2ekcq8uE1YILYEP75qSEwh/8QD1cGcMrg5YNKZ0YcngUDsVt6L1SB8PdBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T02:39:29.095763Z","bundle_sha256":"0bf1d11969a51b9aa8a6475ff790a516bc759a1e9435f9415750b9e54857a3de"}}