{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:XNQ2CK4UEFGIJSGXGMQLZHTX6L","short_pith_number":"pith:XNQ2CK4U","schema_version":"1.0","canonical_sha256":"bb61a12b94214c84c8d73320bc9e77f2e890dd1b7db7849eb52ee108c7aa3b17","source":{"kind":"arxiv","id":"1910.12279","version":2},"attestation_state":"computed","paper":{"title":"Memeify: A Large-Scale Meme Generation System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CL","authors_text":"Suryatej Reddy Vyalla, Tanmoy Chakraborty, Vishaal Udandarao","submitted_at":"2019-10-27T15:13:26Z","abstract_excerpt":"Interest in the research areas related to meme propagation and generation has been increasing rapidly in the last couple of years. Meme datasets available online are either specific to a context or contain no class information. Here, we prepare a large-scale dataset of memes with captions and class labels. The dataset consists of 1.1 million meme captions from 128 classes. We also provide reasoning for the existence of broad categories, called \"themes\" across the meme dataset; each theme consists of multiple meme classes. Our generation system uses a trained state-of-the-art transformer-based "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1910.12279","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-10-27T15:13:26Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"b5f480522a949a02ee60238e75fe53ed5371def611ae429a05f9f067caca4df5","abstract_canon_sha256":"6f7b47a98d9253c2c59099320997b3582ebcbf178216d9d5677922e3cf4c4a3c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:23:25.043902Z","signature_b64":"eb4GdaStuw6TG+BeNTgscz+Za0UnsBieuu2Hh4ZcHajdN+iPybMoqMXBzEo3YjF0PH6xKUiiGqf3Hle5iyrPDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb61a12b94214c84c8d73320bc9e77f2e890dd1b7db7849eb52ee108c7aa3b17","last_reissued_at":"2026-07-05T00:23:25.043445Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:23:25.043445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Memeify: A Large-Scale Meme Generation System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CL","authors_text":"Suryatej Reddy Vyalla, Tanmoy Chakraborty, Vishaal Udandarao","submitted_at":"2019-10-27T15:13:26Z","abstract_excerpt":"Interest in the research areas related to meme propagation and generation has been increasing rapidly in the last couple of years. Meme datasets available online are either specific to a context or contain no class information. Here, we prepare a large-scale dataset of memes with captions and class labels. The dataset consists of 1.1 million meme captions from 128 classes. We also provide reasoning for the existence of broad categories, called \"themes\" across the meme dataset; each theme consists of multiple meme classes. Our generation system uses a trained state-of-the-art transformer-based "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.12279","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/1910.12279/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1910.12279","created_at":"2026-07-05T00:23:25.043501+00:00"},{"alias_kind":"arxiv_version","alias_value":"1910.12279v2","created_at":"2026-07-05T00:23:25.043501+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.12279","created_at":"2026-07-05T00:23:25.043501+00:00"},{"alias_kind":"pith_short_12","alias_value":"XNQ2CK4UEFGI","created_at":"2026-07-05T00:23:25.043501+00:00"},{"alias_kind":"pith_short_16","alias_value":"XNQ2CK4UEFGIJSGX","created_at":"2026-07-05T00:23:25.043501+00:00"},{"alias_kind":"pith_short_8","alias_value":"XNQ2CK4U","created_at":"2026-07-05T00:23:25.043501+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XNQ2CK4UEFGIJSGXGMQLZHTX6L","json":"https://pith.science/pith/XNQ2CK4UEFGIJSGXGMQLZHTX6L.json","graph_json":"https://pith.science/api/pith-number/XNQ2CK4UEFGIJSGXGMQLZHTX6L/graph.json","events_json":"https://pith.science/api/pith-number/XNQ2CK4UEFGIJSGXGMQLZHTX6L/events.json","paper":"https://pith.science/paper/XNQ2CK4U"},"agent_actions":{"view_html":"https://pith.science/pith/XNQ2CK4UEFGIJSGXGMQLZHTX6L","download_json":"https://pith.science/pith/XNQ2CK4UEFGIJSGXGMQLZHTX6L.json","view_paper":"https://pith.science/paper/XNQ2CK4U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1910.12279&json=true","fetch_graph":"https://pith.science/api/pith-number/XNQ2CK4UEFGIJSGXGMQLZHTX6L/graph.json","fetch_events":"https://pith.science/api/pith-number/XNQ2CK4UEFGIJSGXGMQLZHTX6L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XNQ2CK4UEFGIJSGXGMQLZHTX6L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XNQ2CK4UEFGIJSGXGMQLZHTX6L/action/storage_attestation","attest_author":"https://pith.science/pith/XNQ2CK4UEFGIJSGXGMQLZHTX6L/action/author_attestation","sign_citation":"https://pith.science/pith/XNQ2CK4UEFGIJSGXGMQLZHTX6L/action/citation_signature","submit_replication":"https://pith.science/pith/XNQ2CK4UEFGIJSGXGMQLZHTX6L/action/replication_record"}},"created_at":"2026-07-05T00:23:25.043501+00:00","updated_at":"2026-07-05T00:23:25.043501+00:00"}