{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NQXFOM36I7Q7DVPRF2NOPKW3S2","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":"a79f24bbda8832f7625a7f5db9c388c9aa0458522109a42f709d5ff386db3238","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2017-11-07T17:21:06Z","title_canon_sha256":"f574efe964ed2d17d771aa5580e789032350a084f319276230e07a708aa7d24c"},"schema_version":"1.0","source":{"id":"1711.02613","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.02613","created_at":"2026-05-17T23:56:10Z"},{"alias_kind":"arxiv_version","alias_value":"1711.02613v4","created_at":"2026-05-17T23:56:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.02613","created_at":"2026-05-17T23:56:10Z"},{"alias_kind":"pith_short_12","alias_value":"NQXFOM36I7Q7","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"NQXFOM36I7Q7DVPR","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"NQXFOM36","created_at":"2026-05-18T12:31:34Z"}],"graph_snapshots":[{"event_id":"sha256:6bc4a818dc4e8f53c62910e0318fb5c135fdcc7c73e5dd96d8865b2148b0984a","target":"graph","created_at":"2026-05-17T23:56:10Z","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":"Many engineers wish to deploy modern neural networks in memory-limited settings; but the development of flexible methods for reducing memory use is in its infancy, and there is little knowledge of the resulting cost-benefit. We propose structural model distillation for memory reduction using a strategy that produces a student architecture that is a simple transformation of the teacher architecture: no redesign is needed, and the same hyperparameters can be used. Using attention transfer, we provide Pareto curves/tables for distillation of residual networks with four benchmark datasets, indicat","authors_text":"Amos Storkey, Elliot J. Crowley, Gavin Gray","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2017-11-07T17:21:06Z","title":"Moonshine: Distilling with Cheap Convolutions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.02613","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":"sha256:1dc7ff7d13a8ead9033050362e6f66a71813eaa45ebe105eeb0deaf2f97b0513","target":"record","created_at":"2026-05-17T23:56:10Z","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":"a79f24bbda8832f7625a7f5db9c388c9aa0458522109a42f709d5ff386db3238","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2017-11-07T17:21:06Z","title_canon_sha256":"f574efe964ed2d17d771aa5580e789032350a084f319276230e07a708aa7d24c"},"schema_version":"1.0","source":{"id":"1711.02613","kind":"arxiv","version":4}},"canonical_sha256":"6c2e57337e47e1f1d5f12e9ae7aadb96811ae9f343cef696167d58cc3fd5860b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6c2e57337e47e1f1d5f12e9ae7aadb96811ae9f343cef696167d58cc3fd5860b","first_computed_at":"2026-05-17T23:56:10.441330Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:10.441330Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KxWnjSpl+c/JHQIEzG5/rFO4z3GO0l6lg7iLlHlNixlIHBTKezpV3TwC11epGB5AGhfpRbuws6xaQC/GRngvBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:10.441930Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.02613","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1dc7ff7d13a8ead9033050362e6f66a71813eaa45ebe105eeb0deaf2f97b0513","sha256:6bc4a818dc4e8f53c62910e0318fb5c135fdcc7c73e5dd96d8865b2148b0984a"],"state_sha256":"9b11118052f174d7d9450c5a2806d73d1c88fb46539065d9a5bb54950b18bef1"}