{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:JVPUO3KXMCFGHKTVJQ4RTHN4GZ","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":"20813d90142aae3e6e6a35b674e25e8c462ea2374ae71c90f86e526a97fc68fb","cross_cats_sorted":["cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-04-19T04:24:15Z","title_canon_sha256":"2fd166683a5467aabaddfde473c9de0b2b88c2d040819189a7e6f9d41f153bf2"},"schema_version":"1.0","source":{"id":"1504.04788","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.04788","created_at":"2026-05-18T02:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"1504.04788v1","created_at":"2026-05-18T02:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.04788","created_at":"2026-05-18T02:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"JVPUO3KXMCFG","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_16","alias_value":"JVPUO3KXMCFGHKTV","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_8","alias_value":"JVPUO3KX","created_at":"2026-05-18T12:29:27Z"}],"graph_snapshots":[{"event_id":"sha256:d6acb5eeede74e7a9c93ae18d3cdab90f0a954896337775c1e8f6888a3f94145","target":"graph","created_at":"2026-05-18T02:18:24Z","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":"As deep nets are increasingly used in applications suited for mobile devices, a fundamental dilemma becomes apparent: the trend in deep learning is to grow models to absorb ever-increasing data set sizes; however mobile devices are designed with very little memory and cannot store such large models. We present a novel network architecture, HashedNets, that exploits inherent redundancy in neural networks to achieve drastic reductions in model sizes. HashedNets uses a low-cost hash function to randomly group connection weights into hash buckets, and all connections within the same hash bucket sh","authors_text":"James T. Wilson, Kilian Q. Weinberger, Stephen Tyree, Wenlin Chen, Yixin Chen","cross_cats":["cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-04-19T04:24:15Z","title":"Compressing Neural Networks with the Hashing Trick"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.04788","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":"sha256:6cf6141f2f2e3a29a70a8b7a0e5bc7d38f975a8aab20dd93b30bb2cef7041342","target":"record","created_at":"2026-05-18T02:18:24Z","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":"20813d90142aae3e6e6a35b674e25e8c462ea2374ae71c90f86e526a97fc68fb","cross_cats_sorted":["cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-04-19T04:24:15Z","title_canon_sha256":"2fd166683a5467aabaddfde473c9de0b2b88c2d040819189a7e6f9d41f153bf2"},"schema_version":"1.0","source":{"id":"1504.04788","kind":"arxiv","version":1}},"canonical_sha256":"4d5f476d57608a63aa754c39199dbc36798363b79466a02a36c344b5df9d78f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d5f476d57608a63aa754c39199dbc36798363b79466a02a36c344b5df9d78f2","first_computed_at":"2026-05-18T02:18:24.747010Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:18:24.747010Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CSBzdM9J5CdvMOBHhpGxXqc7iwBjqso918TEXhKnqhz/pBAko1uBSUZujWTMZcAzCx9IoUM8+wT0hcDcmPCMCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:18:24.747651Z","signed_message":"canonical_sha256_bytes"},"source_id":"1504.04788","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6cf6141f2f2e3a29a70a8b7a0e5bc7d38f975a8aab20dd93b30bb2cef7041342","sha256:d6acb5eeede74e7a9c93ae18d3cdab90f0a954896337775c1e8f6888a3f94145"],"state_sha256":"35f0acf1d03d37e5dd5f736cdce2045a45f427589f9a0eb89dde4366bda0a557"}