{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ZHEYVXYCDDL2YFSHH4GECMF6GE","short_pith_number":"pith:ZHEYVXYC","canonical_record":{"source":{"id":"2605.24475","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-23T08:52:34Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"3409e8f3ab9c3e3cec47f2cc25344052906325f5bff5dbcc8afc7b0ef9a30f88","abstract_canon_sha256":"8d8bcda2c168e921868da16cc7b5b1ee1beebdfafa2d02ef34c1c85011757c0a"},"schema_version":"1.0"},"canonical_sha256":"c9c98adf0218d7ac16473f0c4130be312431b5babff37ca48185b501a91332a4","source":{"kind":"arxiv","id":"2605.24475","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24475","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24475v1","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24475","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"pith_short_12","alias_value":"ZHEYVXYCDDL2","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"pith_short_16","alias_value":"ZHEYVXYCDDL2YFSH","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"pith_short_8","alias_value":"ZHEYVXYC","created_at":"2026-05-26T01:03:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ZHEYVXYCDDL2YFSHH4GECMF6GE","target":"record","payload":{"canonical_record":{"source":{"id":"2605.24475","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-23T08:52:34Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"3409e8f3ab9c3e3cec47f2cc25344052906325f5bff5dbcc8afc7b0ef9a30f88","abstract_canon_sha256":"8d8bcda2c168e921868da16cc7b5b1ee1beebdfafa2d02ef34c1c85011757c0a"},"schema_version":"1.0"},"canonical_sha256":"c9c98adf0218d7ac16473f0c4130be312431b5babff37ca48185b501a91332a4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:41.807905Z","signature_b64":"iORZrdIOKpYoAQORXU4DBO1scylaVssnAU51JblCiqGgg6QKC5H7C3JiRQfO9aiiHlp9d7g8CgLaDdixaE/1Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c9c98adf0218d7ac16473f0c4130be312431b5babff37ca48185b501a91332a4","last_reissued_at":"2026-05-26T01:03:41.806991Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:41.806991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.24475","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":"2026-05-26T01:03:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mn/4yqmLNQVtDDG8fd8DIVj0NNgT8GRlsM2hmG3YSgpGlqzwq0GJEfZmRYfGOSUTwwiJPXpJI8zo9QAYzIstAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T00:19:57.941108Z"},"content_sha256":"991f547feab7cd3ef4a649e4ce375bf3bc4f301a9e3ce9c12b3f7c0c7f998767","schema_version":"1.0","event_id":"sha256:991f547feab7cd3ef4a649e4ce375bf3bc4f301a9e3ce9c12b3f7c0c7f998767"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ZHEYVXYCDDL2YFSHH4GECMF6GE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Fuzzy Multi-view Learning under View Conflict","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.CV","authors_text":"Dezhong Peng, Peng Hu, Siyuan Duan, Xi Peng, Yingke Chen, Yuan Sun","submitted_at":"2026-05-23T08:52:34Z","abstract_excerpt":"Trusted multi-view classification aims to deliver reliable fusion for accurate predictions and has recently attracted substantial attention in both academia and industry. However, existing TMVC methods typically assume strict alignment across different views during both training and testing phases, which is often impractical in real-world scenarios. This limitation motivates us to revisit TMVC and extend it to a more challenging setting: how to mitigate the impact of view conflict (VC) during both training and inference. To tackle this setting, existing TMVC methods suffer from three critical "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24475","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/2605.24475/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":"2026-05-26T01:03:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RxVBS5U/qYImJDhaCwmZdXmgz1yVMheExGI2bA91f25GpZeX7rf+Yg8YPKeM20nZaN1ZIzexZlsstr/FdZhSDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T00:19:57.941501Z"},"content_sha256":"fde7526bf9a4a88a00d15142035c070a6b64e2f4e7bafcc3d445ca89b1ee2cba","schema_version":"1.0","event_id":"sha256:fde7526bf9a4a88a00d15142035c070a6b64e2f4e7bafcc3d445ca89b1ee2cba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZHEYVXYCDDL2YFSHH4GECMF6GE/bundle.json","state_url":"https://pith.science/pith/ZHEYVXYCDDL2YFSHH4GECMF6GE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZHEYVXYCDDL2YFSHH4GECMF6GE/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":"2026-06-03T00:19:57Z","links":{"resolver":"https://pith.science/pith/ZHEYVXYCDDL2YFSHH4GECMF6GE","bundle":"https://pith.science/pith/ZHEYVXYCDDL2YFSHH4GECMF6GE/bundle.json","state":"https://pith.science/pith/ZHEYVXYCDDL2YFSHH4GECMF6GE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZHEYVXYCDDL2YFSHH4GECMF6GE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZHEYVXYCDDL2YFSHH4GECMF6GE","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":"8d8bcda2c168e921868da16cc7b5b1ee1beebdfafa2d02ef34c1c85011757c0a","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-23T08:52:34Z","title_canon_sha256":"3409e8f3ab9c3e3cec47f2cc25344052906325f5bff5dbcc8afc7b0ef9a30f88"},"schema_version":"1.0","source":{"id":"2605.24475","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24475","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24475v1","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24475","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"pith_short_12","alias_value":"ZHEYVXYCDDL2","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"pith_short_16","alias_value":"ZHEYVXYCDDL2YFSH","created_at":"2026-05-26T01:03:41Z"},{"alias_kind":"pith_short_8","alias_value":"ZHEYVXYC","created_at":"2026-05-26T01:03:41Z"}],"graph_snapshots":[{"event_id":"sha256:fde7526bf9a4a88a00d15142035c070a6b64e2f4e7bafcc3d445ca89b1ee2cba","target":"graph","created_at":"2026-05-26T01:03:41Z","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/2605.24475/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Trusted multi-view classification aims to deliver reliable fusion for accurate predictions and has recently attracted substantial attention in both academia and industry. However, existing TMVC methods typically assume strict alignment across different views during both training and testing phases, which is often impractical in real-world scenarios. This limitation motivates us to revisit TMVC and extend it to a more challenging setting: how to mitigate the impact of view conflict (VC) during both training and inference. To tackle this setting, existing TMVC methods suffer from three critical ","authors_text":"Dezhong Peng, Peng Hu, Siyuan Duan, Xi Peng, Yingke Chen, Yuan Sun","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-23T08:52:34Z","title":"Robust Fuzzy Multi-view Learning under View Conflict"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24475","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":"sha256:991f547feab7cd3ef4a649e4ce375bf3bc4f301a9e3ce9c12b3f7c0c7f998767","target":"record","created_at":"2026-05-26T01:03:41Z","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":"8d8bcda2c168e921868da16cc7b5b1ee1beebdfafa2d02ef34c1c85011757c0a","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-23T08:52:34Z","title_canon_sha256":"3409e8f3ab9c3e3cec47f2cc25344052906325f5bff5dbcc8afc7b0ef9a30f88"},"schema_version":"1.0","source":{"id":"2605.24475","kind":"arxiv","version":1}},"canonical_sha256":"c9c98adf0218d7ac16473f0c4130be312431b5babff37ca48185b501a91332a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c9c98adf0218d7ac16473f0c4130be312431b5babff37ca48185b501a91332a4","first_computed_at":"2026-05-26T01:03:41.806991Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:41.806991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iORZrdIOKpYoAQORXU4DBO1scylaVssnAU51JblCiqGgg6QKC5H7C3JiRQfO9aiiHlp9d7g8CgLaDdixaE/1Dg==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:41.807905Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24475","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:991f547feab7cd3ef4a649e4ce375bf3bc4f301a9e3ce9c12b3f7c0c7f998767","sha256:fde7526bf9a4a88a00d15142035c070a6b64e2f4e7bafcc3d445ca89b1ee2cba"],"state_sha256":"31ceebfc34262d35915633e74caf15dbfa36b4512a68c9e07d5936a19d5074d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KXDGj5j+02aI0IpOpgq5AXuuNRGLd12gfSc6EYBktY1qbFLZ0EuxbuC90k4YCuhFQPrxhZHdNsFv5p7Ugl5fAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T00:19:57.943591Z","bundle_sha256":"960e04d679895a0dda6969f1aa3fd1b869721d84037313bd9848e293ae545a42"}}