{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:I2LQ5BC3SNDEHWMPVYFJPXKP6U","short_pith_number":"pith:I2LQ5BC3","canonical_record":{"source":{"id":"2505.17002","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T17:57:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"32e4e74a650be4a073369d63a9daef2759f437558c51220017739e1533ce5434","abstract_canon_sha256":"46071e92ac87000d6e5acc38c33d9c068bd87e45b22b9b2ddd84b72e3230cb70"},"schema_version":"1.0"},"canonical_sha256":"46970e845b934643d98fae0a97dd4ff5136f51e43bab7e85c8facc26914ae078","source":{"kind":"arxiv","id":"2505.17002","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17002","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17002v2","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17002","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"pith_short_12","alias_value":"I2LQ5BC3SNDE","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"pith_short_16","alias_value":"I2LQ5BC3SNDEHWMP","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"pith_short_8","alias_value":"I2LQ5BC3","created_at":"2026-07-05T11:10:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:I2LQ5BC3SNDEHWMPVYFJPXKP6U","target":"record","payload":{"canonical_record":{"source":{"id":"2505.17002","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T17:57:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"32e4e74a650be4a073369d63a9daef2759f437558c51220017739e1533ce5434","abstract_canon_sha256":"46071e92ac87000d6e5acc38c33d9c068bd87e45b22b9b2ddd84b72e3230cb70"},"schema_version":"1.0"},"canonical_sha256":"46970e845b934643d98fae0a97dd4ff5136f51e43bab7e85c8facc26914ae078","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:57.518987Z","signature_b64":"5FQqW4ohB/2DVFRCr3g1DZ9uNjupAZCjeG3FrUEFGI2scp+f8T9fHbIqkcDmXYid/olE25BCzEZinFEY0MLLBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46970e845b934643d98fae0a97dd4ff5136f51e43bab7e85c8facc26914ae078","last_reissued_at":"2026-07-05T11:10:57.518385Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:57.518385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.17002","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:10:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0ypP1+Jtjo/5sWPKdIgQZjyFqjLZVVfdJS4ZU7DAQRdLMilfmSE2GgwyJtN9w071WXxRH8UVnigfcznXdumJCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:53:30.971658Z"},"content_sha256":"1187311c2527044fde2e45bdf8c1e52d7915246b8865c530f6a2ed07c4c0a566","schema_version":"1.0","event_id":"sha256:1187311c2527044fde2e45bdf8c1e52d7915246b8865c530f6a2ed07c4c0a566"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:I2LQ5BC3SNDEHWMPVYFJPXKP6U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Abdul Hannan, Markus Schedl, Mubashir Noman, Muhammad Arslan Manzoor, Muhammad Irzam Liaqat, Shah Nawaz","submitted_at":"2025-05-22T17:57:55Z","abstract_excerpt":"We study the task of learning association between faces and voices, which is gaining interest in the multimodal community lately. These methods suffer from the deliberate crafting of negative mining procedures as well as the reliance on the distant margin parameter. These issues are addressed by learning a joint embedding space in which orthogonality constraints are applied to the fused embeddings of faces and voices. However, embedding spaces of faces and voices possess different characteristics and require spaces to be aligned before fusing them. To this end, we propose a method that accurat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17002","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/2505.17002/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":"2026-07-05T11:10:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ixl1aSDNmcfTEEDD6Lbp4rOPYlj7xrlU6KSSplaPdafZdSVQeRFt5aRNhnkx2VPlyuuraGXnTvGzs8nS3IZTAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:53:30.972171Z"},"content_sha256":"ad918a32b74dac5fefad9fd05b2f5c22331a587f53b65605dbd6daead1003eb0","schema_version":"1.0","event_id":"sha256:ad918a32b74dac5fefad9fd05b2f5c22331a587f53b65605dbd6daead1003eb0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I2LQ5BC3SNDEHWMPVYFJPXKP6U/bundle.json","state_url":"https://pith.science/pith/I2LQ5BC3SNDEHWMPVYFJPXKP6U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I2LQ5BC3SNDEHWMPVYFJPXKP6U/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":"2026-08-15T22:53:30Z","links":{"resolver":"https://pith.science/pith/I2LQ5BC3SNDEHWMPVYFJPXKP6U","bundle":"https://pith.science/pith/I2LQ5BC3SNDEHWMPVYFJPXKP6U/bundle.json","state":"https://pith.science/pith/I2LQ5BC3SNDEHWMPVYFJPXKP6U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I2LQ5BC3SNDEHWMPVYFJPXKP6U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:I2LQ5BC3SNDEHWMPVYFJPXKP6U","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":"46071e92ac87000d6e5acc38c33d9c068bd87e45b22b9b2ddd84b72e3230cb70","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T17:57:55Z","title_canon_sha256":"32e4e74a650be4a073369d63a9daef2759f437558c51220017739e1533ce5434"},"schema_version":"1.0","source":{"id":"2505.17002","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17002","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17002v2","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17002","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"pith_short_12","alias_value":"I2LQ5BC3SNDE","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"pith_short_16","alias_value":"I2LQ5BC3SNDEHWMP","created_at":"2026-07-05T11:10:57Z"},{"alias_kind":"pith_short_8","alias_value":"I2LQ5BC3","created_at":"2026-07-05T11:10:57Z"}],"graph_snapshots":[{"event_id":"sha256:ad918a32b74dac5fefad9fd05b2f5c22331a587f53b65605dbd6daead1003eb0","target":"graph","created_at":"2026-07-05T11:10:57Z","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/2505.17002/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study the task of learning association between faces and voices, which is gaining interest in the multimodal community lately. These methods suffer from the deliberate crafting of negative mining procedures as well as the reliance on the distant margin parameter. These issues are addressed by learning a joint embedding space in which orthogonality constraints are applied to the fused embeddings of faces and voices. However, embedding spaces of faces and voices possess different characteristics and require spaces to be aligned before fusing them. To this end, we propose a method that accurat","authors_text":"Abdul Hannan, Markus Schedl, Mubashir Noman, Muhammad Arslan Manzoor, Muhammad Irzam Liaqat, Shah Nawaz","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T17:57:55Z","title":"PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17002","kind":"arxiv","version":2},"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":"sha256:1187311c2527044fde2e45bdf8c1e52d7915246b8865c530f6a2ed07c4c0a566","target":"record","created_at":"2026-07-05T11:10:57Z","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":"46071e92ac87000d6e5acc38c33d9c068bd87e45b22b9b2ddd84b72e3230cb70","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T17:57:55Z","title_canon_sha256":"32e4e74a650be4a073369d63a9daef2759f437558c51220017739e1533ce5434"},"schema_version":"1.0","source":{"id":"2505.17002","kind":"arxiv","version":2}},"canonical_sha256":"46970e845b934643d98fae0a97dd4ff5136f51e43bab7e85c8facc26914ae078","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46970e845b934643d98fae0a97dd4ff5136f51e43bab7e85c8facc26914ae078","first_computed_at":"2026-07-05T11:10:57.518385Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:57.518385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5FQqW4ohB/2DVFRCr3g1DZ9uNjupAZCjeG3FrUEFGI2scp+f8T9fHbIqkcDmXYid/olE25BCzEZinFEY0MLLBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:57.518987Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.17002","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1187311c2527044fde2e45bdf8c1e52d7915246b8865c530f6a2ed07c4c0a566","sha256:ad918a32b74dac5fefad9fd05b2f5c22331a587f53b65605dbd6daead1003eb0"],"state_sha256":"cb490f82de749d2e27084112ab1e6694ab234605d8f199e39dad48b4dc3726db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WrYqf2hhUute7qPR+VAmE3qAiXX0Bg6OfroPeq2Sle9F1LP+gXljjhtiMSGFbsqsHXSJZVfAvVa//0EWpcKBCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T22:53:30.975870Z","bundle_sha256":"e228c7131efc5a230c89a7ff6d2ed5d156bdf2d2e45047753884ba00262b6574"}}