{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:OYSSINFQSQNSKK5VF4W4RVPZFY","short_pith_number":"pith:OYSSINFQ","canonical_record":{"source":{"id":"2103.13549","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-03-25T01:29:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2ec2d1c7ea5f7eac761de42eb048501f61bbad12da3f623af1cfe456a638c56a","abstract_canon_sha256":"de813714ca61a942b4f077065bfade3ef944dd157ea6672cbf97cb881206f74e"},"schema_version":"1.0"},"canonical_sha256":"76252434b0941b252bb52f2dc8d5f92e20f6d2d444aa7fd67a60402d07d533cd","source":{"kind":"arxiv","id":"2103.13549","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.13549","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"arxiv_version","alias_value":"2103.13549v1","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.13549","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"pith_short_12","alias_value":"OYSSINFQSQNS","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"pith_short_16","alias_value":"OYSSINFQSQNSKK5V","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"pith_short_8","alias_value":"OYSSINFQ","created_at":"2026-07-05T02:37:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:OYSSINFQSQNSKK5VF4W4RVPZFY","target":"record","payload":{"canonical_record":{"source":{"id":"2103.13549","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-03-25T01:29:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2ec2d1c7ea5f7eac761de42eb048501f61bbad12da3f623af1cfe456a638c56a","abstract_canon_sha256":"de813714ca61a942b4f077065bfade3ef944dd157ea6672cbf97cb881206f74e"},"schema_version":"1.0"},"canonical_sha256":"76252434b0941b252bb52f2dc8d5f92e20f6d2d444aa7fd67a60402d07d533cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:37:58.373325Z","signature_b64":"HR6nl86vVwNRBC1g+oNWCFqvCJLRPos9mfB0RAMEAjxcO4ESZoaSdS6dwUZq6WW8MfDXKm7IHUKMBBbMis7zCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"76252434b0941b252bb52f2dc8d5f92e20f6d2d444aa7fd67a60402d07d533cd","last_reissued_at":"2026-07-05T02:37:58.372770Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:37:58.372770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.13549","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":"2026-07-05T02:37:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SjhFYCiMsQ38B0h8QV3rFFmro5cy4Buv2tf5YN18Rfz+G2mdvooXFMZBm9pqBUmRIkJNFHOCzIoFl/KlQBdTDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:24:21.367889Z"},"content_sha256":"d0f48ce99d7aa59b60a33235c2e3a31e96c66c58fc2215953f5bb6dc41b2791e","schema_version":"1.0","event_id":"sha256:d0f48ce99d7aa59b60a33235c2e3a31e96c66c58fc2215953f5bb6dc41b2791e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:OYSSINFQSQNSKK5VF4W4RVPZFY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An evidential classifier based on Dempster-Shafer theory and deep learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Philippe Xu, Thierry Den{\\oe}ux, Zheng Tong","submitted_at":"2021-03-25T01:29:05Z","abstract_excerpt":"We propose a new classifier based on Dempster-Shafer (DS) theory and a convolutional neural network (CNN) architecture for set-valued classification. In this classifier, called the evidential deep-learning classifier, convolutional and pooling layers first extract high-dimensional features from input data. The features are then converted into mass functions and aggregated by Dempster's rule in a DS layer. Finally, an expected utility layer performs set-valued classification based on mass functions. We propose an end-to-end learning strategy for jointly updating the network parameters. Addition"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.13549","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/2103.13549/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":"2026-07-05T02:37:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zy8oca/opPoMLIeiaTOasioQmV9sq6mYqAoTb2l0OGzSyYrvAG4vwX/vIu+v7umdRcyxlKreEB9N1wB7pPY7CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:24:21.368264Z"},"content_sha256":"d785028b034c4d0cc567fb5c073cbc537b51fab1424412cc2c1b84f096b896bc","schema_version":"1.0","event_id":"sha256:d785028b034c4d0cc567fb5c073cbc537b51fab1424412cc2c1b84f096b896bc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OYSSINFQSQNSKK5VF4W4RVPZFY/bundle.json","state_url":"https://pith.science/pith/OYSSINFQSQNSKK5VF4W4RVPZFY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OYSSINFQSQNSKK5VF4W4RVPZFY/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":"2026-07-07T10:24:21Z","links":{"resolver":"https://pith.science/pith/OYSSINFQSQNSKK5VF4W4RVPZFY","bundle":"https://pith.science/pith/OYSSINFQSQNSKK5VF4W4RVPZFY/bundle.json","state":"https://pith.science/pith/OYSSINFQSQNSKK5VF4W4RVPZFY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OYSSINFQSQNSKK5VF4W4RVPZFY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:OYSSINFQSQNSKK5VF4W4RVPZFY","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":"de813714ca61a942b4f077065bfade3ef944dd157ea6672cbf97cb881206f74e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-03-25T01:29:05Z","title_canon_sha256":"2ec2d1c7ea5f7eac761de42eb048501f61bbad12da3f623af1cfe456a638c56a"},"schema_version":"1.0","source":{"id":"2103.13549","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.13549","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"arxiv_version","alias_value":"2103.13549v1","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.13549","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"pith_short_12","alias_value":"OYSSINFQSQNS","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"pith_short_16","alias_value":"OYSSINFQSQNSKK5V","created_at":"2026-07-05T02:37:58Z"},{"alias_kind":"pith_short_8","alias_value":"OYSSINFQ","created_at":"2026-07-05T02:37:58Z"}],"graph_snapshots":[{"event_id":"sha256:d785028b034c4d0cc567fb5c073cbc537b51fab1424412cc2c1b84f096b896bc","target":"graph","created_at":"2026-07-05T02:37:58Z","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/2103.13549/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new classifier based on Dempster-Shafer (DS) theory and a convolutional neural network (CNN) architecture for set-valued classification. In this classifier, called the evidential deep-learning classifier, convolutional and pooling layers first extract high-dimensional features from input data. The features are then converted into mass functions and aggregated by Dempster's rule in a DS layer. Finally, an expected utility layer performs set-valued classification based on mass functions. We propose an end-to-end learning strategy for jointly updating the network parameters. Addition","authors_text":"Philippe Xu, Thierry Den{\\oe}ux, Zheng Tong","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-03-25T01:29:05Z","title":"An evidential classifier based on Dempster-Shafer theory and deep learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.13549","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:d0f48ce99d7aa59b60a33235c2e3a31e96c66c58fc2215953f5bb6dc41b2791e","target":"record","created_at":"2026-07-05T02:37:58Z","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":"de813714ca61a942b4f077065bfade3ef944dd157ea6672cbf97cb881206f74e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-03-25T01:29:05Z","title_canon_sha256":"2ec2d1c7ea5f7eac761de42eb048501f61bbad12da3f623af1cfe456a638c56a"},"schema_version":"1.0","source":{"id":"2103.13549","kind":"arxiv","version":1}},"canonical_sha256":"76252434b0941b252bb52f2dc8d5f92e20f6d2d444aa7fd67a60402d07d533cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76252434b0941b252bb52f2dc8d5f92e20f6d2d444aa7fd67a60402d07d533cd","first_computed_at":"2026-07-05T02:37:58.372770Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:37:58.372770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HR6nl86vVwNRBC1g+oNWCFqvCJLRPos9mfB0RAMEAjxcO4ESZoaSdS6dwUZq6WW8MfDXKm7IHUKMBBbMis7zCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:37:58.373325Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.13549","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d0f48ce99d7aa59b60a33235c2e3a31e96c66c58fc2215953f5bb6dc41b2791e","sha256:d785028b034c4d0cc567fb5c073cbc537b51fab1424412cc2c1b84f096b896bc"],"state_sha256":"41fd5425426a7db2548a1b4efe7b0242c828b1d558c852f16f4c9957921d2391"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0A/Jz9s71GPPXHleLdIaroPS6atUnYk8KMvxkMXYT+Yr/NTP29ZNH5QlvatAyfOh9YQp3YwEtP2ey5albK41Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T10:24:21.370419Z","bundle_sha256":"0e5bf9956240a42340c741444cf02ed1ac32e9beb264e0b81b367723f09e6331"}}