{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:DOHXVRA3ROUBKQMMK64FZ2YFBB","short_pith_number":"pith:DOHXVRA3","canonical_record":{"source":{"id":"2012.13235","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-24T13:01:44Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"50231767024c26fc075cdd2ee9f49f2d8048efc6398f7dec046b077c1b8b9b8b","abstract_canon_sha256":"56ad02268daf3d23d0c74613bd55ec1a6e15700969c058ff10d8cb98f7f1cfd1"},"schema_version":"1.0"},"canonical_sha256":"1b8f7ac41b8ba815418c57b85ceb050869192597602482056b04af344f3ebf23","source":{"kind":"arxiv","id":"2012.13235","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.13235","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"arxiv_version","alias_value":"2012.13235v1","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.13235","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"pith_short_12","alias_value":"DOHXVRA3ROUB","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"pith_short_16","alias_value":"DOHXVRA3ROUBKQMM","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"pith_short_8","alias_value":"DOHXVRA3","created_at":"2026-07-05T02:01:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:DOHXVRA3ROUBKQMMK64FZ2YFBB","target":"record","payload":{"canonical_record":{"source":{"id":"2012.13235","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-24T13:01:44Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"50231767024c26fc075cdd2ee9f49f2d8048efc6398f7dec046b077c1b8b9b8b","abstract_canon_sha256":"56ad02268daf3d23d0c74613bd55ec1a6e15700969c058ff10d8cb98f7f1cfd1"},"schema_version":"1.0"},"canonical_sha256":"1b8f7ac41b8ba815418c57b85ceb050869192597602482056b04af344f3ebf23","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:01:56.499784Z","signature_b64":"oICG50CT84oHJSrkCvZLfW0E2Mo9//bVEgVhm74JiCdmbea/6s1NMPjHD7+g0S0y2Mt3uAe+Js8exYH4W0flBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b8f7ac41b8ba815418c57b85ceb050869192597602482056b04af344f3ebf23","last_reissued_at":"2026-07-05T02:01:56.499373Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:01:56.499373Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.13235","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":"2026-07-05T02:01:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"utfECYZMJzxP2/KebuSDrxaQG++r7RYwQY5qoH41BIl3dC3dhz79Gd9aSSVx6o93t/k0Yk/0AjrqPTJBnm7sDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:47:20.909232Z"},"content_sha256":"c85cfdc0d535df483fe12f7b1a39380c6092a444495ba4ff11809a098f704f19","schema_version":"1.0","event_id":"sha256:c85cfdc0d535df483fe12f7b1a39380c6092a444495ba4ff11809a098f704f19"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:DOHXVRA3ROUBKQMMK64FZ2YFBB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting Hateful Memes Using a Multimodal Deep Ensemble","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CV"],"primary_cat":"cs.LG","authors_text":"Vlad Sandulescu","submitted_at":"2020-12-24T13:01:44Z","abstract_excerpt":"While significant progress has been made using machine learning algorithms to detect hate speech, important technical challenges still remain to be solved in order to bring their performance closer to human accuracy. We investigate several of the most recent visual-linguistic Transformer architectures and propose improvements to increase their performance for this task. The proposed model outperforms the baselines by a large margin and ranks 5$^{th}$ on the leaderboard out of 3,100+ participants."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.13235","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/2012.13235/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":"2026-07-05T02:01:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VyepLQiyoUF9SZZBKGuf9n7rdaGU30uBzTBGfMeGAtRVeI9kclF5KvJBm0W3B4OKf0Jgh0zMBb8/X9xifGI7Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:47:20.909613Z"},"content_sha256":"d7652ab79cb64bfccb438fefd26561320497b97d3fc4090501ecffec7d3243b5","schema_version":"1.0","event_id":"sha256:d7652ab79cb64bfccb438fefd26561320497b97d3fc4090501ecffec7d3243b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DOHXVRA3ROUBKQMMK64FZ2YFBB/bundle.json","state_url":"https://pith.science/pith/DOHXVRA3ROUBKQMMK64FZ2YFBB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DOHXVRA3ROUBKQMMK64FZ2YFBB/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":"2026-08-07T04:47:20Z","links":{"resolver":"https://pith.science/pith/DOHXVRA3ROUBKQMMK64FZ2YFBB","bundle":"https://pith.science/pith/DOHXVRA3ROUBKQMMK64FZ2YFBB/bundle.json","state":"https://pith.science/pith/DOHXVRA3ROUBKQMMK64FZ2YFBB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DOHXVRA3ROUBKQMMK64FZ2YFBB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DOHXVRA3ROUBKQMMK64FZ2YFBB","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":"56ad02268daf3d23d0c74613bd55ec1a6e15700969c058ff10d8cb98f7f1cfd1","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-24T13:01:44Z","title_canon_sha256":"50231767024c26fc075cdd2ee9f49f2d8048efc6398f7dec046b077c1b8b9b8b"},"schema_version":"1.0","source":{"id":"2012.13235","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.13235","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"arxiv_version","alias_value":"2012.13235v1","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.13235","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"pith_short_12","alias_value":"DOHXVRA3ROUB","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"pith_short_16","alias_value":"DOHXVRA3ROUBKQMM","created_at":"2026-07-05T02:01:56Z"},{"alias_kind":"pith_short_8","alias_value":"DOHXVRA3","created_at":"2026-07-05T02:01:56Z"}],"graph_snapshots":[{"event_id":"sha256:d7652ab79cb64bfccb438fefd26561320497b97d3fc4090501ecffec7d3243b5","target":"graph","created_at":"2026-07-05T02:01:56Z","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/2012.13235/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While significant progress has been made using machine learning algorithms to detect hate speech, important technical challenges still remain to be solved in order to bring their performance closer to human accuracy. We investigate several of the most recent visual-linguistic Transformer architectures and propose improvements to increase their performance for this task. The proposed model outperforms the baselines by a large margin and ranks 5$^{th}$ on the leaderboard out of 3,100+ participants.","authors_text":"Vlad Sandulescu","cross_cats":["cs.CL","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-24T13:01:44Z","title":"Detecting Hateful Memes Using a Multimodal Deep Ensemble"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.13235","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:c85cfdc0d535df483fe12f7b1a39380c6092a444495ba4ff11809a098f704f19","target":"record","created_at":"2026-07-05T02:01:56Z","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":"56ad02268daf3d23d0c74613bd55ec1a6e15700969c058ff10d8cb98f7f1cfd1","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-24T13:01:44Z","title_canon_sha256":"50231767024c26fc075cdd2ee9f49f2d8048efc6398f7dec046b077c1b8b9b8b"},"schema_version":"1.0","source":{"id":"2012.13235","kind":"arxiv","version":1}},"canonical_sha256":"1b8f7ac41b8ba815418c57b85ceb050869192597602482056b04af344f3ebf23","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b8f7ac41b8ba815418c57b85ceb050869192597602482056b04af344f3ebf23","first_computed_at":"2026-07-05T02:01:56.499373Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:01:56.499373Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oICG50CT84oHJSrkCvZLfW0E2Mo9//bVEgVhm74JiCdmbea/6s1NMPjHD7+g0S0y2Mt3uAe+Js8exYH4W0flBw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:01:56.499784Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.13235","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c85cfdc0d535df483fe12f7b1a39380c6092a444495ba4ff11809a098f704f19","sha256:d7652ab79cb64bfccb438fefd26561320497b97d3fc4090501ecffec7d3243b5"],"state_sha256":"3630ef5a1acde3a26221b825b0e1fccf6519247d90b14549486a2d376f8f97ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BYhjcFzZwuDjO8+eYHiIv7n57tQP/s5oKytkU6MnqY1WyPKVWBn6M28mIUB+kHbMN3as1ybT2g3mmSN3nUnuBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T04:47:20.912460Z","bundle_sha256":"0330db6d34e63043b34b6a874350f811dd3d442d5b49cb3347a9f6fe7885cab9"}}