{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:X725NG3IPVFQTGY5DEV3D45T64","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":"2fe0bce947e94dadb155afc5fbe762d915515eefd0c8d4ed2f7641f7d62aa845","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-25T07:38:52Z","title_canon_sha256":"d4f2e1055523ba529f47de89cb91272bd979df05176d586b4a7db76d96451699"},"schema_version":"1.0","source":{"id":"1801.08297","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.08297","created_at":"2026-05-17T23:49:22Z"},{"alias_kind":"arxiv_version","alias_value":"1801.08297v4","created_at":"2026-05-17T23:49:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.08297","created_at":"2026-05-17T23:49:22Z"},{"alias_kind":"pith_short_12","alias_value":"X725NG3IPVFQ","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"X725NG3IPVFQTGY5","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"X725NG3I","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:ce35591d0ee4f37fe43dac71f09d4b67b82a6672fed18148cbd30acef610ccda","target":"graph","created_at":"2026-05-17T23:49:22Z","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"},"paper":{"abstract_excerpt":"In this paper, we propose a novel Convolutional Neural Network (CNN) structure for general-purpose multi-task learning (MTL), which enables automatic feature fusing at every layer from different tasks. This is in contrast with the most widely used MTL CNN structures which empirically or heuristically share features on some specific layers (e.g., share all the features except the last convolutional layer). The proposed layerwise feature fusing scheme is formulated by combining existing CNN components in a novel way, with clear mathematical interpretability as discriminative dimensionality reduc","authors_text":"Alan L. Yuille, Jiayi Ma, Mingbo Zhao, Wei Liu, Yuan Gao","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-25T07:38:52Z","title":"NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.08297","kind":"arxiv","version":4},"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:bd822f8ad913becf7f18336eb271c4de3d46be21f8327e9debfb2d85c8f3bf89","target":"record","created_at":"2026-05-17T23:49:22Z","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":"2fe0bce947e94dadb155afc5fbe762d915515eefd0c8d4ed2f7641f7d62aa845","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-25T07:38:52Z","title_canon_sha256":"d4f2e1055523ba529f47de89cb91272bd979df05176d586b4a7db76d96451699"},"schema_version":"1.0","source":{"id":"1801.08297","kind":"arxiv","version":4}},"canonical_sha256":"bff5d69b687d4b099b1d192bb1f3b3f702054024079b930101d3d6b512a0fe9a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bff5d69b687d4b099b1d192bb1f3b3f702054024079b930101d3d6b512a0fe9a","first_computed_at":"2026-05-17T23:49:22.596834Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:22.596834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lysT9u67vEX/dP0E7ue8lqwPhGQLkFOFRCfv+6i45H5j5bdmOekegozpmwcokHd66sjavJgW5GAzqdwL/9ElBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:22.597253Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.08297","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd822f8ad913becf7f18336eb271c4de3d46be21f8327e9debfb2d85c8f3bf89","sha256:ce35591d0ee4f37fe43dac71f09d4b67b82a6672fed18148cbd30acef610ccda"],"state_sha256":"b5dbd6bde990a7dbd1170701fc4146d8ca12897a6d5a17015d788e894195d420"}