{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UMEVHTJ7EVYHEZLRTNVV4UVM7Y","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":"32767759befa9b2d40f0291ba625d30a3f74b766e6cbdee67d639a933b4ce71c","cross_cats_sorted":["cs.AI","cs.CV","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T14:27:17Z","title_canon_sha256":"ea99666c0c89425bc76c3a1bbaa25877e66f7fba4578baa51289ae5845e189ad"},"schema_version":"1.0","source":{"id":"2605.31349","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.31349","created_at":"2026-06-01T02:04:00Z"},{"alias_kind":"arxiv_version","alias_value":"2605.31349v1","created_at":"2026-06-01T02:04:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31349","created_at":"2026-06-01T02:04:00Z"},{"alias_kind":"pith_short_12","alias_value":"UMEVHTJ7EVYH","created_at":"2026-06-01T02:04:00Z"},{"alias_kind":"pith_short_16","alias_value":"UMEVHTJ7EVYHEZLR","created_at":"2026-06-01T02:04:00Z"},{"alias_kind":"pith_short_8","alias_value":"UMEVHTJ7","created_at":"2026-06-01T02:04:00Z"}],"graph_snapshots":[{"event_id":"sha256:4088d27e2d05a6e7b6b30e10c538a888a14b839fb897eefc9019efd6c4af541c","target":"graph","created_at":"2026-06-01T02:04:00Z","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/2605.31349/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hateful meme detection remains a formidable challenge for vision-language models, as existing benchmarks are structurally observational - confounding rhetorical hate mechanisms with target community features and preventing causal evaluation of model vulnerabilities. To address this, we introduce FBHM, a systematically curated benchmark of Functionality Based Hateful Memes constructed along two orthogonal axes: 25 distinct rhetorical functionalities and 10 target communities (5,000 memes total). Benchmarking state-of-the-art VLMs reveals a severe generalization gap: models highly accurate on st","authors_text":"Animesh Mukherjee, Daksh Jogchand, Naquee Rizwan, Paramananda Bhaskar, Saurabh Kumar Pandey","cross_cats":["cs.AI","cs.CV","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T14:27:17Z","title":"FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31349","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":"sha256:6576f9f9bd91f680143c642c05584b134a95a4b8ee45ae0f476e5dbf69381de2","target":"record","created_at":"2026-06-01T02:04:00Z","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":"32767759befa9b2d40f0291ba625d30a3f74b766e6cbdee67d639a933b4ce71c","cross_cats_sorted":["cs.AI","cs.CV","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T14:27:17Z","title_canon_sha256":"ea99666c0c89425bc76c3a1bbaa25877e66f7fba4578baa51289ae5845e189ad"},"schema_version":"1.0","source":{"id":"2605.31349","kind":"arxiv","version":1}},"canonical_sha256":"a30953cd3f25707265719b6b5e52acfe2d8dc8f6f8d412c1fd099f5ca633a702","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a30953cd3f25707265719b6b5e52acfe2d8dc8f6f8d412c1fd099f5ca633a702","first_computed_at":"2026-06-01T02:04:00.185342Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T02:04:00.185342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dnJ7lUeEm+mvZpjk8nGLgDi6Bctiy3v0hVLxHrjU87N6RU8C3fwFjy56jdrixvIpBp1TwrNoQtM0qY9hKEMdDw==","signature_status":"signed_v1","signed_at":"2026-06-01T02:04:00.186339Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.31349","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6576f9f9bd91f680143c642c05584b134a95a4b8ee45ae0f476e5dbf69381de2","sha256:4088d27e2d05a6e7b6b30e10c538a888a14b839fb897eefc9019efd6c4af541c"],"state_sha256":"9701e89beaa00e2d6a3f60f4ae629b17543b1567f2b504a4dde2665c30a1fe95"}