{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:XPOQRAR2H6HK7QITH3CT23AT3L","short_pith_number":"pith:XPOQRAR2","canonical_record":{"source":{"id":"2007.11752","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-23T02:05:03Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"8cb8ce6caa2eb144ec7f6a4f0369aa3d518715b2b297494b377f7340354fb8f2","abstract_canon_sha256":"de71a642f66953fe23f68525186037bffe44a3588472fe9430cbba3a2223e7d2"},"schema_version":"1.0"},"canonical_sha256":"bbdd08823a3f8eafc1133ec53d6c13daf8df092eca091e46cb17d1170d03c80e","source":{"kind":"arxiv","id":"2007.11752","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.11752","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"arxiv_version","alias_value":"2007.11752v4","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.11752","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"pith_short_12","alias_value":"XPOQRAR2H6HK","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"pith_short_16","alias_value":"XPOQRAR2H6HK7QIT","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"pith_short_8","alias_value":"XPOQRAR2","created_at":"2026-07-05T02:53:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:XPOQRAR2H6HK7QITH3CT23AT3L","target":"record","payload":{"canonical_record":{"source":{"id":"2007.11752","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-23T02:05:03Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"8cb8ce6caa2eb144ec7f6a4f0369aa3d518715b2b297494b377f7340354fb8f2","abstract_canon_sha256":"de71a642f66953fe23f68525186037bffe44a3588472fe9430cbba3a2223e7d2"},"schema_version":"1.0"},"canonical_sha256":"bbdd08823a3f8eafc1133ec53d6c13daf8df092eca091e46cb17d1170d03c80e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:53:52.251411Z","signature_b64":"3NZ+56wKlSnl9LABF1HQzHD5P+Heh7o1svU8fR3FOUs9DNHmPTSON1fmSNNHOHAdDXXFb2+kZ1IPk65OWct3Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bbdd08823a3f8eafc1133ec53d6c13daf8df092eca091e46cb17d1170d03c80e","last_reissued_at":"2026-07-05T02:53:52.250947Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:53:52.250947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.11752","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:53:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xebjjnmoEkmW0353gjdRhA42NNdj7IM04r61peBJz15CM4f7NMwVE8dQhUau66ueYkQWeHME7d8GjR1ZveqzDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T07:42:18.100471Z"},"content_sha256":"1e37130fa33a4a065ba7d93a338f31584bb7f680cd8d2f3bf7b8b4d9310fb7ae","schema_version":"1.0","event_id":"sha256:1e37130fa33a4a065ba7d93a338f31584bb7f680cd8d2f3bf7b8b4d9310fb7ae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:XPOQRAR2H6HK7QITH3CT23AT3L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Ari S. Morcos, Diana Marculescu, Ting-Wu Chin","submitted_at":"2020-07-23T02:05:03Z","abstract_excerpt":"Slimmable neural networks provide a flexible trade-off front between prediction error and computational requirement (such as the number of floating-point operations or FLOPs) with the same storage requirement as a single model. They are useful for reducing maintenance overhead for deploying models to devices with different memory constraints and are useful for optimizing the efficiency of a system with many CNNs. However, existing slimmable network approaches either do not optimize layer-wise widths or optimize the shared-weights and layer-wise widths independently, thereby leaving significant"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.11752","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2007.11752/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:53:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+cG5PpNuAWG+TR7uuHSr2AYEPq8LRVVCouQ+sLPA1zDb7F8pJqtNENA7GZ9g6HENeZBUpEWszduGuwJXsfCiBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T07:42:18.100852Z"},"content_sha256":"fb39e275a61f0316bf62788e6b72f0add5ec56d53d3fff6d865e191f4b8ff239","schema_version":"1.0","event_id":"sha256:fb39e275a61f0316bf62788e6b72f0add5ec56d53d3fff6d865e191f4b8ff239"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XPOQRAR2H6HK7QITH3CT23AT3L/bundle.json","state_url":"https://pith.science/pith/XPOQRAR2H6HK7QITH3CT23AT3L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XPOQRAR2H6HK7QITH3CT23AT3L/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-05T07:42:18Z","links":{"resolver":"https://pith.science/pith/XPOQRAR2H6HK7QITH3CT23AT3L","bundle":"https://pith.science/pith/XPOQRAR2H6HK7QITH3CT23AT3L/bundle.json","state":"https://pith.science/pith/XPOQRAR2H6HK7QITH3CT23AT3L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XPOQRAR2H6HK7QITH3CT23AT3L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:XPOQRAR2H6HK7QITH3CT23AT3L","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":"de71a642f66953fe23f68525186037bffe44a3588472fe9430cbba3a2223e7d2","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-23T02:05:03Z","title_canon_sha256":"8cb8ce6caa2eb144ec7f6a4f0369aa3d518715b2b297494b377f7340354fb8f2"},"schema_version":"1.0","source":{"id":"2007.11752","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.11752","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"arxiv_version","alias_value":"2007.11752v4","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.11752","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"pith_short_12","alias_value":"XPOQRAR2H6HK","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"pith_short_16","alias_value":"XPOQRAR2H6HK7QIT","created_at":"2026-07-05T02:53:52Z"},{"alias_kind":"pith_short_8","alias_value":"XPOQRAR2","created_at":"2026-07-05T02:53:52Z"}],"graph_snapshots":[{"event_id":"sha256:fb39e275a61f0316bf62788e6b72f0add5ec56d53d3fff6d865e191f4b8ff239","target":"graph","created_at":"2026-07-05T02:53:52Z","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/2007.11752/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Slimmable neural networks provide a flexible trade-off front between prediction error and computational requirement (such as the number of floating-point operations or FLOPs) with the same storage requirement as a single model. They are useful for reducing maintenance overhead for deploying models to devices with different memory constraints and are useful for optimizing the efficiency of a system with many CNNs. However, existing slimmable network approaches either do not optimize layer-wise widths or optimize the shared-weights and layer-wise widths independently, thereby leaving significant","authors_text":"Ari S. Morcos, Diana Marculescu, Ting-Wu Chin","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-23T02:05:03Z","title":"Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.11752","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":"sha256:1e37130fa33a4a065ba7d93a338f31584bb7f680cd8d2f3bf7b8b4d9310fb7ae","target":"record","created_at":"2026-07-05T02:53:52Z","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":"de71a642f66953fe23f68525186037bffe44a3588472fe9430cbba3a2223e7d2","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-23T02:05:03Z","title_canon_sha256":"8cb8ce6caa2eb144ec7f6a4f0369aa3d518715b2b297494b377f7340354fb8f2"},"schema_version":"1.0","source":{"id":"2007.11752","kind":"arxiv","version":4}},"canonical_sha256":"bbdd08823a3f8eafc1133ec53d6c13daf8df092eca091e46cb17d1170d03c80e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbdd08823a3f8eafc1133ec53d6c13daf8df092eca091e46cb17d1170d03c80e","first_computed_at":"2026-07-05T02:53:52.250947Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:53:52.250947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3NZ+56wKlSnl9LABF1HQzHD5P+Heh7o1svU8fR3FOUs9DNHmPTSON1fmSNNHOHAdDXXFb2+kZ1IPk65OWct3Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T02:53:52.251411Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.11752","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e37130fa33a4a065ba7d93a338f31584bb7f680cd8d2f3bf7b8b4d9310fb7ae","sha256:fb39e275a61f0316bf62788e6b72f0add5ec56d53d3fff6d865e191f4b8ff239"],"state_sha256":"cff72c562897609ae420d19cb1a7d86437c690c6f2b00a740ff0e3349b71d052"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xR2AAFuLAPEEMyPWv8/F271a4NpejYYdyIfCCs4UD8LbRARMPqJY0AStyO1/Do454zZoOT2y83ITmEREL+1HBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T07:42:18.103040Z","bundle_sha256":"d3d48d72f36e4a2fc5f8d6312d6d19ddd4a5433e4a76c09617790c0e21df9411"}}