{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:SKP2HIYVSB5USQ2HXDCMAFHE6Z","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":"d813a74caae88441480800e2dd5fddbccc4aea99c49b6b4bed82dc24ff4b1c0f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-27T12:34:58Z","title_canon_sha256":"3b662c6c76564053cab89d812fe9d4ba76e38022af5386fcaa479dc263268d98"},"schema_version":"1.0","source":{"id":"2101.11353","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.11353","created_at":"2026-07-05T04:32:36Z"},{"alias_kind":"arxiv_version","alias_value":"2101.11353v2","created_at":"2026-07-05T04:32:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.11353","created_at":"2026-07-05T04:32:36Z"},{"alias_kind":"pith_short_12","alias_value":"SKP2HIYVSB5U","created_at":"2026-07-05T04:32:36Z"},{"alias_kind":"pith_short_16","alias_value":"SKP2HIYVSB5USQ2H","created_at":"2026-07-05T04:32:36Z"},{"alias_kind":"pith_short_8","alias_value":"SKP2HIYV","created_at":"2026-07-05T04:32:36Z"}],"graph_snapshots":[{"event_id":"sha256:c08a6d3c2ab50745fd698add723df85a16f3b38a45950d6b76a9e58004d93639","target":"graph","created_at":"2026-07-05T04:32:36Z","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/2101.11353/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Nested dropout is a variant of dropout operation that is able to order network parameters or features based on the pre-defined importance during training. It has been explored for: I. Constructing nested nets: the nested nets are neural networks whose architectures can be adjusted instantly during testing time, e.g., based on computational constraints. The nested dropout implicitly ranks the network parameters, generating a set of sub-networks such that any smaller sub-network forms the basis of a larger one. II. Learning ordered representation: the nested dropout applied to the latent represe","authors_text":"Antoni B. Chan, Chun Jason Xue, Qiao Li, Tei-Wei Kuo, Xue Liu, Yufei Cui, Yu Mao, Ziquan Liu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-27T12:34:58Z","title":"Variational Nested Dropout"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.11353","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":"sha256:79bb46b885c16f08bca16d45b6335aadb94c72e04ef5790c9ef9afb5b92c2973","target":"record","created_at":"2026-07-05T04:32:36Z","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":"d813a74caae88441480800e2dd5fddbccc4aea99c49b6b4bed82dc24ff4b1c0f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-27T12:34:58Z","title_canon_sha256":"3b662c6c76564053cab89d812fe9d4ba76e38022af5386fcaa479dc263268d98"},"schema_version":"1.0","source":{"id":"2101.11353","kind":"arxiv","version":2}},"canonical_sha256":"929fa3a315907b494347b8c4c014e4f656e8ef9bbb89c2b9ead02816dddd5589","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"929fa3a315907b494347b8c4c014e4f656e8ef9bbb89c2b9ead02816dddd5589","first_computed_at":"2026-07-05T04:32:36.759454Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:32:36.759454Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"27E5YNEBUGsq4DmcUt0VYtmNjOv1LG1EWXl1XT19C0p+lQuYOX7wXYveUoG7gTBoxbpLfJEFwRJGAid5OvRhAg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:32:36.760003Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.11353","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79bb46b885c16f08bca16d45b6335aadb94c72e04ef5790c9ef9afb5b92c2973","sha256:c08a6d3c2ab50745fd698add723df85a16f3b38a45950d6b76a9e58004d93639"],"state_sha256":"0f7df0553e72d48fdab02bfb7a7d4bc2b986a5e238b43fd4ed2ed1dbc8b4b5e2"}