{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HQT6JRVYQMSFL6Q6MDHMIODYAP","short_pith_number":"pith:HQT6JRVY","canonical_record":{"source":{"id":"2505.23365","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T11:42:57Z","cross_cats_sorted":[],"title_canon_sha256":"a3622c9a4f85d5d0494234abb75bd4bfc5e11dff4787b645fd52fd97fffd9d1a","abstract_canon_sha256":"297fe8477445a88fcdaf02893dea6d18ed40ec50bb0fd4e8981cf1afbad1012b"},"schema_version":"1.0"},"canonical_sha256":"3c27e4c6b8832455fa1e60cec4387803c1fde5a58f475c3c8ba1ac6042ee6a73","source":{"kind":"arxiv","id":"2505.23365","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23365","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23365v1","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23365","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"pith_short_12","alias_value":"HQT6JRVYQMSF","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"pith_short_16","alias_value":"HQT6JRVYQMSFL6Q6","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"pith_short_8","alias_value":"HQT6JRVY","created_at":"2026-07-05T11:12:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HQT6JRVYQMSFL6Q6MDHMIODYAP","target":"record","payload":{"canonical_record":{"source":{"id":"2505.23365","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T11:42:57Z","cross_cats_sorted":[],"title_canon_sha256":"a3622c9a4f85d5d0494234abb75bd4bfc5e11dff4787b645fd52fd97fffd9d1a","abstract_canon_sha256":"297fe8477445a88fcdaf02893dea6d18ed40ec50bb0fd4e8981cf1afbad1012b"},"schema_version":"1.0"},"canonical_sha256":"3c27e4c6b8832455fa1e60cec4387803c1fde5a58f475c3c8ba1ac6042ee6a73","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:12:00.376557Z","signature_b64":"rGGr0dcGtmC6CQydv/M/BBdEOnizFl3hPqxKGIkhvBklShDLEXFobWgAIvEMgmRWC2LdbBfSvDsd8KHVczNwBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c27e4c6b8832455fa1e60cec4387803c1fde5a58f475c3c8ba1ac6042ee6a73","last_reissued_at":"2026-07-05T11:12:00.376053Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:12:00.376053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.23365","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":"2026-07-05T11:12:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"47B3ZdqQm/3kpdLCKlNf0zL54pRv/vLjsZzG+kSflO+uorOSzVZ+0mmZ65SlQsVakajsCtnCZ+u5FV8Kt0yFDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:24:32.682292Z"},"content_sha256":"2a088dd2d6f6137ba2f2596548b62ae06269bae1af1bcdf34247cec3d2046e26","schema_version":"1.0","event_id":"sha256:2a088dd2d6f6137ba2f2596548b62ae06269bae1af1bcdf34247cec3d2046e26"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HQT6JRVYQMSFL6Q6MDHMIODYAP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MCFNet: A Multimodal Collaborative Fusion Network for Fine-Grained Semantic Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Xiaofeng Gu, Xiaoyu Zhong, Yang Qiao, Zhiguo Yu","submitted_at":"2025-05-29T11:42:57Z","abstract_excerpt":"Multimodal information processing has become increasingly important for enhancing image classification performance. However, the intricate and implicit dependencies across different modalities often hinder conventional methods from effectively capturing fine-grained semantic interactions, thereby limiting their applicability in high-precision classification tasks. To address this issue, we propose a novel Multimodal Collaborative Fusion Network (MCFNet) designed for fine-grained classification. The proposed MCFNet architecture incorporates a regularized integrated fusion module that improves i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23365","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/2505.23365/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":"2026-07-05T11:12:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l/DdxGciBDDb6g5xjy2Nt9VKcltixJEkDNwYqZeGfWUopYvJ8Krm7A2VGCaaM8mhdkhzlWD8aaFTbDy7DKaRAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:24:32.683304Z"},"content_sha256":"fc917b721974abd6d252118081c5ebdb39a91f39cfb502a9b82fa214ea8a207c","schema_version":"1.0","event_id":"sha256:fc917b721974abd6d252118081c5ebdb39a91f39cfb502a9b82fa214ea8a207c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HQT6JRVYQMSFL6Q6MDHMIODYAP/bundle.json","state_url":"https://pith.science/pith/HQT6JRVYQMSFL6Q6MDHMIODYAP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HQT6JRVYQMSFL6Q6MDHMIODYAP/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":"2026-08-04T12:24:32Z","links":{"resolver":"https://pith.science/pith/HQT6JRVYQMSFL6Q6MDHMIODYAP","bundle":"https://pith.science/pith/HQT6JRVYQMSFL6Q6MDHMIODYAP/bundle.json","state":"https://pith.science/pith/HQT6JRVYQMSFL6Q6MDHMIODYAP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HQT6JRVYQMSFL6Q6MDHMIODYAP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HQT6JRVYQMSFL6Q6MDHMIODYAP","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":"297fe8477445a88fcdaf02893dea6d18ed40ec50bb0fd4e8981cf1afbad1012b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T11:42:57Z","title_canon_sha256":"a3622c9a4f85d5d0494234abb75bd4bfc5e11dff4787b645fd52fd97fffd9d1a"},"schema_version":"1.0","source":{"id":"2505.23365","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23365","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23365v1","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23365","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"pith_short_12","alias_value":"HQT6JRVYQMSF","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"pith_short_16","alias_value":"HQT6JRVYQMSFL6Q6","created_at":"2026-07-05T11:12:00Z"},{"alias_kind":"pith_short_8","alias_value":"HQT6JRVY","created_at":"2026-07-05T11:12:00Z"}],"graph_snapshots":[{"event_id":"sha256:fc917b721974abd6d252118081c5ebdb39a91f39cfb502a9b82fa214ea8a207c","target":"graph","created_at":"2026-07-05T11:12:00Z","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/2505.23365/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal information processing has become increasingly important for enhancing image classification performance. However, the intricate and implicit dependencies across different modalities often hinder conventional methods from effectively capturing fine-grained semantic interactions, thereby limiting their applicability in high-precision classification tasks. To address this issue, we propose a novel Multimodal Collaborative Fusion Network (MCFNet) designed for fine-grained classification. The proposed MCFNet architecture incorporates a regularized integrated fusion module that improves i","authors_text":"Xiaofeng Gu, Xiaoyu Zhong, Yang Qiao, Zhiguo Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T11:42:57Z","title":"MCFNet: A Multimodal Collaborative Fusion Network for Fine-Grained Semantic Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23365","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":"sha256:2a088dd2d6f6137ba2f2596548b62ae06269bae1af1bcdf34247cec3d2046e26","target":"record","created_at":"2026-07-05T11:12:00Z","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":"297fe8477445a88fcdaf02893dea6d18ed40ec50bb0fd4e8981cf1afbad1012b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T11:42:57Z","title_canon_sha256":"a3622c9a4f85d5d0494234abb75bd4bfc5e11dff4787b645fd52fd97fffd9d1a"},"schema_version":"1.0","source":{"id":"2505.23365","kind":"arxiv","version":1}},"canonical_sha256":"3c27e4c6b8832455fa1e60cec4387803c1fde5a58f475c3c8ba1ac6042ee6a73","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c27e4c6b8832455fa1e60cec4387803c1fde5a58f475c3c8ba1ac6042ee6a73","first_computed_at":"2026-07-05T11:12:00.376053Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:00.376053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rGGr0dcGtmC6CQydv/M/BBdEOnizFl3hPqxKGIkhvBklShDLEXFobWgAIvEMgmRWC2LdbBfSvDsd8KHVczNwBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:00.376557Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.23365","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a088dd2d6f6137ba2f2596548b62ae06269bae1af1bcdf34247cec3d2046e26","sha256:fc917b721974abd6d252118081c5ebdb39a91f39cfb502a9b82fa214ea8a207c"],"state_sha256":"1f1f81f812119e98c9d602f12973c7c8e8eb69a8e5a10f0d7571167044847ae6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qx8zWxQ+b8uISPfZ3YSctiGwyJ5ZKyTbTxylSfZ7qomGx9ffloquM5iTIyr2GEnlZQsrWi28kCHyfRwCBAJXAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:24:32.692176Z","bundle_sha256":"20020b476d0aecf9b328e3a755066aec1d982e838617e7253790da58ca7a4892"}}