{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DS4LLFSBJ6V76UCWWXZTH43A7M","short_pith_number":"pith:DS4LLFSB","canonical_record":{"source":{"id":"2602.21608","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-25T06:12:06Z","cross_cats_sorted":[],"title_canon_sha256":"cdaf08fb6d76e9e47132ee70d96a6528edf2eda40cfbd5ba71315d535d834f59","abstract_canon_sha256":"7d20e343a10da4aae9244453c840fdd5dea8193968717c407b16467494b50c4f"},"schema_version":"1.0"},"canonical_sha256":"1cb8b596414fabff5056b5f333f360fb0842cde38da19591e20a04f0875c9ab6","source":{"kind":"arxiv","id":"2602.21608","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.21608","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"arxiv_version","alias_value":"2602.21608v2","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.21608","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"pith_short_12","alias_value":"DS4LLFSBJ6V7","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"pith_short_16","alias_value":"DS4LLFSBJ6V76UCW","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"pith_short_8","alias_value":"DS4LLFSB","created_at":"2026-06-30T01:17:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DS4LLFSBJ6V76UCWWXZTH43A7M","target":"record","payload":{"canonical_record":{"source":{"id":"2602.21608","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-25T06:12:06Z","cross_cats_sorted":[],"title_canon_sha256":"cdaf08fb6d76e9e47132ee70d96a6528edf2eda40cfbd5ba71315d535d834f59","abstract_canon_sha256":"7d20e343a10da4aae9244453c840fdd5dea8193968717c407b16467494b50c4f"},"schema_version":"1.0"},"canonical_sha256":"1cb8b596414fabff5056b5f333f360fb0842cde38da19591e20a04f0875c9ab6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T01:17:34.694426Z","signature_b64":"39DJK6e7vArKkQ3cFQufDdaGZPi4Oe499dDkaYMw1xM2A9c4vGxp4tBuT0VciJFmCHruKoeddzCZJrGYiOliBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1cb8b596414fabff5056b5f333f360fb0842cde38da19591e20a04f0875c9ab6","last_reissued_at":"2026-06-30T01:17:34.693838Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T01:17:34.693838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.21608","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":"2026-06-30T01:17:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XXZYhX6fTSEt/89weuWGznGAIW+tRzb/fF2QwCqhKteLE/z0venBIXWyaZT9Km/dk7bIH1t+YIMOOVLWtF+UDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T11:46:16.627660Z"},"content_sha256":"fb79b481099162768d92a43a464891623210d1b9c14d208e3d3f4bb94446fc6f","schema_version":"1.0","event_id":"sha256:fb79b481099162768d92a43a464891623210d1b9c14d208e3d3f4bb94446fc6f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DS4LLFSBJ6V76UCWWXZTH43A7M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MixSarc: A Bangla-English Code-Mixed Corpus for Implicit Meaning Identification","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ajwad Abrar, Kazi Samin Yasar Alam, Md Rafid Haque, Md Tanbir Chowdhury, Tamim Ahmed","submitted_at":"2026-02-25T06:12:06Z","abstract_excerpt":"Bangla-English code-mixing is widespread across South Asian social media, yet resources for implicit meaning identification in this setting remain scarce. Existing sentiment and sarcasm models largely focus on monolingual English or high-resource languages and struggle with transliteration variation, cultural references, and intra-sentential language switching. To address this gap, we introduce MixSarc, the first publicly available Bangla-English code-mixed corpus for implicit meaning identification. The dataset contains 9,087 manually annotated sentences labeled for humor, sarcasm, offensiven"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.21608","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/2602.21608/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":"2026-06-30T01:17:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tU+oXJR6b9Pfm8/busiNIEaw3gQdmpOwrbVthTLA73cn1+IRXcxQlw9WI9p1zT+pgYBHEvINLTKMcpK8uZOsCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T11:46:16.628034Z"},"content_sha256":"7ba91a1d2d125f2963d92c31fdf176664734544bc8922b844b12ac33a963a09e","schema_version":"1.0","event_id":"sha256:7ba91a1d2d125f2963d92c31fdf176664734544bc8922b844b12ac33a963a09e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DS4LLFSBJ6V76UCWWXZTH43A7M/bundle.json","state_url":"https://pith.science/pith/DS4LLFSBJ6V76UCWWXZTH43A7M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DS4LLFSBJ6V76UCWWXZTH43A7M/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":"2026-07-01T11:46:16Z","links":{"resolver":"https://pith.science/pith/DS4LLFSBJ6V76UCWWXZTH43A7M","bundle":"https://pith.science/pith/DS4LLFSBJ6V76UCWWXZTH43A7M/bundle.json","state":"https://pith.science/pith/DS4LLFSBJ6V76UCWWXZTH43A7M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DS4LLFSBJ6V76UCWWXZTH43A7M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DS4LLFSBJ6V76UCWWXZTH43A7M","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":"7d20e343a10da4aae9244453c840fdd5dea8193968717c407b16467494b50c4f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-25T06:12:06Z","title_canon_sha256":"cdaf08fb6d76e9e47132ee70d96a6528edf2eda40cfbd5ba71315d535d834f59"},"schema_version":"1.0","source":{"id":"2602.21608","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.21608","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"arxiv_version","alias_value":"2602.21608v2","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.21608","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"pith_short_12","alias_value":"DS4LLFSBJ6V7","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"pith_short_16","alias_value":"DS4LLFSBJ6V76UCW","created_at":"2026-06-30T01:17:34Z"},{"alias_kind":"pith_short_8","alias_value":"DS4LLFSB","created_at":"2026-06-30T01:17:34Z"}],"graph_snapshots":[{"event_id":"sha256:7ba91a1d2d125f2963d92c31fdf176664734544bc8922b844b12ac33a963a09e","target":"graph","created_at":"2026-06-30T01:17:34Z","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/2602.21608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bangla-English code-mixing is widespread across South Asian social media, yet resources for implicit meaning identification in this setting remain scarce. Existing sentiment and sarcasm models largely focus on monolingual English or high-resource languages and struggle with transliteration variation, cultural references, and intra-sentential language switching. To address this gap, we introduce MixSarc, the first publicly available Bangla-English code-mixed corpus for implicit meaning identification. The dataset contains 9,087 manually annotated sentences labeled for humor, sarcasm, offensiven","authors_text":"Ajwad Abrar, Kazi Samin Yasar Alam, Md Rafid Haque, Md Tanbir Chowdhury, Tamim Ahmed","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-25T06:12:06Z","title":"MixSarc: A Bangla-English Code-Mixed Corpus for Implicit Meaning Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.21608","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:fb79b481099162768d92a43a464891623210d1b9c14d208e3d3f4bb94446fc6f","target":"record","created_at":"2026-06-30T01:17:34Z","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":"7d20e343a10da4aae9244453c840fdd5dea8193968717c407b16467494b50c4f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-25T06:12:06Z","title_canon_sha256":"cdaf08fb6d76e9e47132ee70d96a6528edf2eda40cfbd5ba71315d535d834f59"},"schema_version":"1.0","source":{"id":"2602.21608","kind":"arxiv","version":2}},"canonical_sha256":"1cb8b596414fabff5056b5f333f360fb0842cde38da19591e20a04f0875c9ab6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1cb8b596414fabff5056b5f333f360fb0842cde38da19591e20a04f0875c9ab6","first_computed_at":"2026-06-30T01:17:34.693838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:17:34.693838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"39DJK6e7vArKkQ3cFQufDdaGZPi4Oe499dDkaYMw1xM2A9c4vGxp4tBuT0VciJFmCHruKoeddzCZJrGYiOliBw==","signature_status":"signed_v1","signed_at":"2026-06-30T01:17:34.694426Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.21608","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb79b481099162768d92a43a464891623210d1b9c14d208e3d3f4bb94446fc6f","sha256:7ba91a1d2d125f2963d92c31fdf176664734544bc8922b844b12ac33a963a09e"],"state_sha256":"fd41cc96b80c165436620d27c203c35b3dea8975e681fe0fbf872d42d9aa18c2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rz3IWH4aTesty0aDfktF9GLcMf7Pp7JOT+lvt7VNIiBJNfqOmLw9kyfnY06bkxBxB5xBVs6lKJehFusE8/cjBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T11:46:16.630019Z","bundle_sha256":"38d7ff2098453bdf7ad6ab3d6b173e4f0b6050d14abf65f4fde4f09d99c42157"}}