{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:4MFHPG5FTV444SPTFZAJCP3JPD","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":"5de8d21c201dd960a2d31e4f84a27e8105a412d88ed5526b59b87445b87cd867","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-19T06:57:43Z","title_canon_sha256":"d077e0283d084faa8bd82df27269d30b2ac01d201a689a1b97deb19659253bb7"},"schema_version":"1.0","source":{"id":"2104.09081","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.09081","created_at":"2026-07-05T02:33:09Z"},{"alias_kind":"arxiv_version","alias_value":"2104.09081v1","created_at":"2026-07-05T02:33:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.09081","created_at":"2026-07-05T02:33:09Z"},{"alias_kind":"pith_short_12","alias_value":"4MFHPG5FTV44","created_at":"2026-07-05T02:33:09Z"},{"alias_kind":"pith_short_16","alias_value":"4MFHPG5FTV444SPT","created_at":"2026-07-05T02:33:09Z"},{"alias_kind":"pith_short_8","alias_value":"4MFHPG5F","created_at":"2026-07-05T02:33:09Z"}],"graph_snapshots":[{"event_id":"sha256:8073de1b938661bb56bc5fde2a1b0092d1f6d981f3337d3227d2f149cedc0f48","target":"graph","created_at":"2026-07-05T02:33:09Z","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/2104.09081/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tamil is a Dravidian language that is commonly used and spoken in the southern part of Asia. In the era of social media, memes have been a fun moment in the day-to-day life of people. Here, we try to analyze the true meaning of Tamil memes by categorizing them as troll and non-troll. We propose an ingenious model comprising of a transformer-transformer architecture that tries to attain state-of-the-art by using attention as its main component. The dataset consists of troll and non-troll images with their captions as text. The task is a binary classification task. The objective of the model is ","authors_text":"Adeep Hande, Bharathi Raja Chakravarthi, Ruba Priyadharshini, Sajeetha Thavareesan, Siddhanth U Hegde","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-19T06:57:43Z","title":"UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.09081","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":"sha256:99f6562a606341308917545b0b957d9d9689727869120b912a21e39b6c1ea4c6","target":"record","created_at":"2026-07-05T02:33:09Z","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":"5de8d21c201dd960a2d31e4f84a27e8105a412d88ed5526b59b87445b87cd867","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-19T06:57:43Z","title_canon_sha256":"d077e0283d084faa8bd82df27269d30b2ac01d201a689a1b97deb19659253bb7"},"schema_version":"1.0","source":{"id":"2104.09081","kind":"arxiv","version":1}},"canonical_sha256":"e30a779ba59d79ce49f32e40913f6978c3c3f1d4887c4cafb3695e83ded9be7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e30a779ba59d79ce49f32e40913f6978c3c3f1d4887c4cafb3695e83ded9be7f","first_computed_at":"2026-07-05T02:33:09.267728Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:33:09.267728Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vV9xVJ8p99sskiC6070EZMbwhMkcfAIeX3ThBHD1zrE2AiUt6ozeVsw3imedR10DS5c/fviIVOtGbs60vpfxBg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:33:09.268181Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.09081","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99f6562a606341308917545b0b957d9d9689727869120b912a21e39b6c1ea4c6","sha256:8073de1b938661bb56bc5fde2a1b0092d1f6d981f3337d3227d2f149cedc0f48"],"state_sha256":"a7be175f68cd6a30014d77d7d7820a1c00bb4895a3b591465ce4ff1abf8b48ec"}