{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:IIYV3XQ2FQMUAUG57G35Y6UYTQ","short_pith_number":"pith:IIYV3XQ2","schema_version":"1.0","canonical_sha256":"42315dde1a2c194050ddf9b7dc7a989c01acab84b2d5e7a09d52dbd7fbaf492a","source":{"kind":"arxiv","id":"1608.07365","version":1},"attestation_state":"computed","paper":{"title":"Scalable Compression of Deep Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jie Liang, Xing Wang","submitted_at":"2016-08-26T05:08:24Z","abstract_excerpt":"Deep neural networks generally involve some layers with mil- lions of parameters, making them difficult to be deployed and updated on devices with limited resources such as mobile phones and other smart embedded systems. In this paper, we propose a scalable representation of the network parameters, so that different applications can select the most suitable bit rate of the network based on their own storage constraints. Moreover, when a device needs to upgrade to a high-rate network, the existing low-rate network can be reused, and only some incremental data are needed to be downloaded. We fir"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1608.07365","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-08-26T05:08:24Z","cross_cats_sorted":[],"title_canon_sha256":"6b1640e9777555062795cf310280ad9d5a80e331dd6e32c77164770f0f09495d","abstract_canon_sha256":"7427e9e470bb6f6d7069f6506f20c75647679c410533dc7810966d1bfc492940"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:07:53.235175Z","signature_b64":"mFDOJFNgFNP1a2LBmkZ5Y0yJBpoX1TUAKR4yw9QnKEFIGNMLeQOczNUfhD7KWGj2Hd9Alf3Fmp8kikNpNY/cAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"42315dde1a2c194050ddf9b7dc7a989c01acab84b2d5e7a09d52dbd7fbaf492a","last_reissued_at":"2026-05-18T01:07:53.234809Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:07:53.234809Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Scalable Compression of Deep Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jie Liang, Xing Wang","submitted_at":"2016-08-26T05:08:24Z","abstract_excerpt":"Deep neural networks generally involve some layers with mil- lions of parameters, making them difficult to be deployed and updated on devices with limited resources such as mobile phones and other smart embedded systems. In this paper, we propose a scalable representation of the network parameters, so that different applications can select the most suitable bit rate of the network based on their own storage constraints. Moreover, when a device needs to upgrade to a high-rate network, the existing low-rate network can be reused, and only some incremental data are needed to be downloaded. We fir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.07365","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1608.07365","created_at":"2026-05-18T01:07:53.234867+00:00"},{"alias_kind":"arxiv_version","alias_value":"1608.07365v1","created_at":"2026-05-18T01:07:53.234867+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.07365","created_at":"2026-05-18T01:07:53.234867+00:00"},{"alias_kind":"pith_short_12","alias_value":"IIYV3XQ2FQMU","created_at":"2026-05-18T12:30:22.444734+00:00"},{"alias_kind":"pith_short_16","alias_value":"IIYV3XQ2FQMUAUG5","created_at":"2026-05-18T12:30:22.444734+00:00"},{"alias_kind":"pith_short_8","alias_value":"IIYV3XQ2","created_at":"2026-05-18T12:30:22.444734+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IIYV3XQ2FQMUAUG57G35Y6UYTQ","json":"https://pith.science/pith/IIYV3XQ2FQMUAUG57G35Y6UYTQ.json","graph_json":"https://pith.science/api/pith-number/IIYV3XQ2FQMUAUG57G35Y6UYTQ/graph.json","events_json":"https://pith.science/api/pith-number/IIYV3XQ2FQMUAUG57G35Y6UYTQ/events.json","paper":"https://pith.science/paper/IIYV3XQ2"},"agent_actions":{"view_html":"https://pith.science/pith/IIYV3XQ2FQMUAUG57G35Y6UYTQ","download_json":"https://pith.science/pith/IIYV3XQ2FQMUAUG57G35Y6UYTQ.json","view_paper":"https://pith.science/paper/IIYV3XQ2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1608.07365&json=true","fetch_graph":"https://pith.science/api/pith-number/IIYV3XQ2FQMUAUG57G35Y6UYTQ/graph.json","fetch_events":"https://pith.science/api/pith-number/IIYV3XQ2FQMUAUG57G35Y6UYTQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IIYV3XQ2FQMUAUG57G35Y6UYTQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IIYV3XQ2FQMUAUG57G35Y6UYTQ/action/storage_attestation","attest_author":"https://pith.science/pith/IIYV3XQ2FQMUAUG57G35Y6UYTQ/action/author_attestation","sign_citation":"https://pith.science/pith/IIYV3XQ2FQMUAUG57G35Y6UYTQ/action/citation_signature","submit_replication":"https://pith.science/pith/IIYV3XQ2FQMUAUG57G35Y6UYTQ/action/replication_record"}},"created_at":"2026-05-18T01:07:53.234867+00:00","updated_at":"2026-05-18T01:07:53.234867+00:00"}