{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:56DHCP3M2LFUMR6HT56TMLXF3G","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":"50170a7760b6dde9ea2b8b8e8b2ac08c08135899cb5b616454ae5ca21a49f901","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-05T20:42:44Z","title_canon_sha256":"20c755d127074bb0f4fb9357a9d236bb3870eb9da437c6629f0084c14aabd31e"},"schema_version":"1.0","source":{"id":"2505.03020","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03020","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03020v1","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03020","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"pith_short_12","alias_value":"56DHCP3M2LFU","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"pith_short_16","alias_value":"56DHCP3M2LFUMR6H","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"pith_short_8","alias_value":"56DHCP3M","created_at":"2026-07-05T10:58:51Z"}],"graph_snapshots":[{"event_id":"sha256:c20087e068c428f6286abe9f48f07bc2b8a65a97b056fd50a47b2487f9cbec9e","target":"graph","created_at":"2026-07-05T10:58:51Z","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/2505.03020/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal learning, which integrates diverse data sources such as images, text, and structured data, has proven superior to unimodal counterparts in high-stakes decision-making. However, while performance gains remain the gold standard for evaluating multimodal systems, concerns around bias and robustness are frequently overlooked. In this context, this paper explores two key research questions (RQs): (i) RQ1 examines whether adding a modality con-sistently enhances performance and investigates its role in shaping fairness measures, assessing whether it mitigates or amplifies bias in multimod","authors_text":"Ayaazuddin Mohammad, Kishore Sampath, Pratheesh, Resmi Ramachandranpillai","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-05T20:42:44Z","title":"The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03020","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":"sha256:26ae1d8798421df6224839b5dde4ffe130e7d33949e194b86474aa7db5489fa4","target":"record","created_at":"2026-07-05T10:58:51Z","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":"50170a7760b6dde9ea2b8b8e8b2ac08c08135899cb5b616454ae5ca21a49f901","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-05T20:42:44Z","title_canon_sha256":"20c755d127074bb0f4fb9357a9d236bb3870eb9da437c6629f0084c14aabd31e"},"schema_version":"1.0","source":{"id":"2505.03020","kind":"arxiv","version":1}},"canonical_sha256":"ef86713f6cd2cb4647c79f7d362ee5d9b6211b07289b229aba17300157d11ba7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef86713f6cd2cb4647c79f7d362ee5d9b6211b07289b229aba17300157d11ba7","first_computed_at":"2026-07-05T10:58:51.290467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:51.290467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8hrpJSEEhTo/oRY5fTJAmZ4UEONUAzNqzybIxarvNT0Bpgp2xRGBJ/U0hUYXndnS9arqL/S7uewevgAwmtATDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:51.290983Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03020","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26ae1d8798421df6224839b5dde4ffe130e7d33949e194b86474aa7db5489fa4","sha256:c20087e068c428f6286abe9f48f07bc2b8a65a97b056fd50a47b2487f9cbec9e"],"state_sha256":"7e031df0759b6b2cca7b4a9afefa2d42c62f206bea493152fd5278e85bc035f5"}