{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:WK25ZT7VNXII2ECYAV3M4OMSBL","short_pith_number":"pith:WK25ZT7V","canonical_record":{"source":{"id":"2106.08624","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-16T08:31:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fc3e31b8f96a6db2d86b996708ef082f2cbc836c4fec08fb4419bab85e86e6c4","abstract_canon_sha256":"dd19963b5b22ac92a0cd5eb076363e090127d888169f8d60490ba6b811162650"},"schema_version":"1.0"},"canonical_sha256":"b2b5dccff56dd08d10580576ce39920ad1c34295ae3de62dc4684b252d080154","source":{"kind":"arxiv","id":"2106.08624","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.08624","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"arxiv_version","alias_value":"2106.08624v2","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.08624","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_12","alias_value":"WK25ZT7VNXII","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_16","alias_value":"WK25ZT7VNXII2ECY","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_8","alias_value":"WK25ZT7V","created_at":"2026-07-05T03:02:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:WK25ZT7VNXII2ECYAV3M4OMSBL","target":"record","payload":{"canonical_record":{"source":{"id":"2106.08624","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-16T08:31:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fc3e31b8f96a6db2d86b996708ef082f2cbc836c4fec08fb4419bab85e86e6c4","abstract_canon_sha256":"dd19963b5b22ac92a0cd5eb076363e090127d888169f8d60490ba6b811162650"},"schema_version":"1.0"},"canonical_sha256":"b2b5dccff56dd08d10580576ce39920ad1c34295ae3de62dc4684b252d080154","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:02:16.468665Z","signature_b64":"jzT9BKXpmG8FHYTfSUBRXFlRs9XjmIC1XaXv2gmQwK8uMgfUjxTtTl8cAe6vs1INDkcPn4C2QM5nv0vMVUgkBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2b5dccff56dd08d10580576ce39920ad1c34295ae3de62dc4684b252d080154","last_reissued_at":"2026-07-05T03:02:16.468184Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:02:16.468184Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.08624","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":"2026-07-05T03:02:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RRu22faMITWSyP1GPDC6uFaGmUPnS5T6JnpoMnJ45Nou1PgC0sPomTiTVuUp6q0aL2p+B92MkB8tqDxwJ3zwBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:11:18.077500Z"},"content_sha256":"7f4578daeb7bac806e0dd62f149733a9879136f745146b61c8c57189727cfbb8","schema_version":"1.0","event_id":"sha256:7f4578daeb7bac806e0dd62f149733a9879136f745146b61c8c57189727cfbb8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:WK25ZT7VNXII2ECYAV3M4OMSBL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Structured DropConnect for Uncertainty Inference in Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jiyang Xie, Weidong Liu, Wenqing Zheng, Zhanyu Ma","submitted_at":"2021-06-16T08:31:14Z","abstract_excerpt":"With the complexity of the network structure, uncertainty inference has become an important task to improve the classification accuracy for artificial intelligence systems. For image classification tasks, we propose a structured DropConnect (SDC) framework to model the output of a deep neural network by a Dirichlet distribution. We introduce a DropConnect strategy on weights in the fully connected layers during training. In test, we split the network into several sub-networks, and then model the Dirichlet distribution by match its moments with the mean and variance of the outputs of these sub-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.08624","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/2106.08624/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":"2026-07-05T03:02:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EOMxDTLsuegq50X4Fg/eN0AMrFBNdNSxePlZF2W+1U6a5XmYgfeFK6GgaOoaVmrczjdtEhD9gQEOTIAH1IiSAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:11:18.078192Z"},"content_sha256":"f10f0a9839a2fdcb8cb31b854a08c50ad1eefafad416e5fa5155000aeb992716","schema_version":"1.0","event_id":"sha256:f10f0a9839a2fdcb8cb31b854a08c50ad1eefafad416e5fa5155000aeb992716"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WK25ZT7VNXII2ECYAV3M4OMSBL/bundle.json","state_url":"https://pith.science/pith/WK25ZT7VNXII2ECYAV3M4OMSBL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WK25ZT7VNXII2ECYAV3M4OMSBL/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":"2026-07-07T07:11:18Z","links":{"resolver":"https://pith.science/pith/WK25ZT7VNXII2ECYAV3M4OMSBL","bundle":"https://pith.science/pith/WK25ZT7VNXII2ECYAV3M4OMSBL/bundle.json","state":"https://pith.science/pith/WK25ZT7VNXII2ECYAV3M4OMSBL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WK25ZT7VNXII2ECYAV3M4OMSBL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:WK25ZT7VNXII2ECYAV3M4OMSBL","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":"dd19963b5b22ac92a0cd5eb076363e090127d888169f8d60490ba6b811162650","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-16T08:31:14Z","title_canon_sha256":"fc3e31b8f96a6db2d86b996708ef082f2cbc836c4fec08fb4419bab85e86e6c4"},"schema_version":"1.0","source":{"id":"2106.08624","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.08624","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"arxiv_version","alias_value":"2106.08624v2","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.08624","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_12","alias_value":"WK25ZT7VNXII","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_16","alias_value":"WK25ZT7VNXII2ECY","created_at":"2026-07-05T03:02:16Z"},{"alias_kind":"pith_short_8","alias_value":"WK25ZT7V","created_at":"2026-07-05T03:02:16Z"}],"graph_snapshots":[{"event_id":"sha256:f10f0a9839a2fdcb8cb31b854a08c50ad1eefafad416e5fa5155000aeb992716","target":"graph","created_at":"2026-07-05T03:02:16Z","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/2106.08624/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the complexity of the network structure, uncertainty inference has become an important task to improve the classification accuracy for artificial intelligence systems. For image classification tasks, we propose a structured DropConnect (SDC) framework to model the output of a deep neural network by a Dirichlet distribution. We introduce a DropConnect strategy on weights in the fully connected layers during training. In test, we split the network into several sub-networks, and then model the Dirichlet distribution by match its moments with the mean and variance of the outputs of these sub-","authors_text":"Jiyang Xie, Weidong Liu, Wenqing Zheng, Zhanyu Ma","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-16T08:31:14Z","title":"Structured DropConnect for Uncertainty Inference in Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.08624","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":"sha256:7f4578daeb7bac806e0dd62f149733a9879136f745146b61c8c57189727cfbb8","target":"record","created_at":"2026-07-05T03:02:16Z","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":"dd19963b5b22ac92a0cd5eb076363e090127d888169f8d60490ba6b811162650","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-16T08:31:14Z","title_canon_sha256":"fc3e31b8f96a6db2d86b996708ef082f2cbc836c4fec08fb4419bab85e86e6c4"},"schema_version":"1.0","source":{"id":"2106.08624","kind":"arxiv","version":2}},"canonical_sha256":"b2b5dccff56dd08d10580576ce39920ad1c34295ae3de62dc4684b252d080154","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2b5dccff56dd08d10580576ce39920ad1c34295ae3de62dc4684b252d080154","first_computed_at":"2026-07-05T03:02:16.468184Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:02:16.468184Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jzT9BKXpmG8FHYTfSUBRXFlRs9XjmIC1XaXv2gmQwK8uMgfUjxTtTl8cAe6vs1INDkcPn4C2QM5nv0vMVUgkBg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:02:16.468665Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.08624","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f4578daeb7bac806e0dd62f149733a9879136f745146b61c8c57189727cfbb8","sha256:f10f0a9839a2fdcb8cb31b854a08c50ad1eefafad416e5fa5155000aeb992716"],"state_sha256":"9b8b184dde29fed3a7362f8125279ee0ea157d41ded58965e68b028f91e25d97"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ygSMyrbfU5H/UMNT2ixIYJE/Hr2a9q9NDcGC2gk40Q8HBbeHqfzwrWXlhwvXB+XqxroLqWzt0urFzV9JIr0CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:11:18.081623Z","bundle_sha256":"cd264278e9623586e17fbb52e918f8bdd7cea1245cbafceb4061e2798387b261"}}