{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:7EWJCQWVZXSRIQYL7XV7V5BXC5","short_pith_number":"pith:7EWJCQWV","canonical_record":{"source":{"id":"2308.07650","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T08:57:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2fedf2ccbf9c9a5462b9060a7d23e93fd35ed100e0b78c06a06ba2144505ef40","abstract_canon_sha256":"7838e22b8af9822fc3c8e3bba156e3d34fdf7210c0db701712774d7a9e2239be"},"schema_version":"1.0"},"canonical_sha256":"f92c9142d5cde514430bfdebfaf437177d588bc001c307a42c255c3ca5e71adc","source":{"kind":"arxiv","id":"2308.07650","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.07650","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"arxiv_version","alias_value":"2308.07650v1","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.07650","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"pith_short_12","alias_value":"7EWJCQWVZXSR","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"pith_short_16","alias_value":"7EWJCQWVZXSRIQYL","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"pith_short_8","alias_value":"7EWJCQWV","created_at":"2026-07-05T06:41:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:7EWJCQWVZXSRIQYL7XV7V5BXC5","target":"record","payload":{"canonical_record":{"source":{"id":"2308.07650","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T08:57:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2fedf2ccbf9c9a5462b9060a7d23e93fd35ed100e0b78c06a06ba2144505ef40","abstract_canon_sha256":"7838e22b8af9822fc3c8e3bba156e3d34fdf7210c0db701712774d7a9e2239be"},"schema_version":"1.0"},"canonical_sha256":"f92c9142d5cde514430bfdebfaf437177d588bc001c307a42c255c3ca5e71adc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:41:29.118188Z","signature_b64":"ZihJScpQRWPwyxHOHmU4XL4DIhRWGtAm6t6++UaSTwxHweAQWgJuRig4iksjWNlQhWco/XTfcx+LS+mZVB33CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f92c9142d5cde514430bfdebfaf437177d588bc001c307a42c255c3ca5e71adc","last_reissued_at":"2026-07-05T06:41:29.117749Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:41:29.117749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.07650","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:41:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f/O44CSrQTssUQx4rAPUK8bg0TFIOxEkcvY+sCvNDwpCJ48KYfSxBrsNS2zbds3WSvId5M6OmYHTTJe81oIGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:18:25.007690Z"},"content_sha256":"7c0b806e2067188ff57ed63998292aed33def2dd0f15e7f9bf7031562f1c123a","schema_version":"1.0","event_id":"sha256:7c0b806e2067188ff57ed63998292aed33def2dd0f15e7f9bf7031562f1c123a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:7EWJCQWVZXSRIQYL7XV7V5BXC5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EQ-Net: Elastic Quantization Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ke Xu, Lei Han, Shangshang Yang, Xingyi Zhang, Ye Tian","submitted_at":"2023-08-15T08:57:03Z","abstract_excerpt":"Current model quantization methods have shown their promising capability in reducing storage space and computation complexity. However, due to the diversity of quantization forms supported by different hardware, one limitation of existing solutions is that usually require repeated optimization for different scenarios. How to construct a model with flexible quantization forms has been less studied. In this paper, we explore a one-shot network quantization regime, named Elastic Quantization Neural Networks (EQ-Net), which aims to train a robust weight-sharing quantization supernet. First of all,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.07650","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.07650/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":"2026-07-05T06:41:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p8IYE6dwHJ9FZb0Dd9Tanid6IeyiZVCJV91hydRj7sqNuU+CVzwOxILdbl6x5+rQjlgQ3Jd2OQGPE4yeu4VRDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:18:25.008320Z"},"content_sha256":"2609bf1b64f758a1bf2163cda0be9b88c382b4dc0fd0cc80371142033bf0a143","schema_version":"1.0","event_id":"sha256:2609bf1b64f758a1bf2163cda0be9b88c382b4dc0fd0cc80371142033bf0a143"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7EWJCQWVZXSRIQYL7XV7V5BXC5/bundle.json","state_url":"https://pith.science/pith/7EWJCQWVZXSRIQYL7XV7V5BXC5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7EWJCQWVZXSRIQYL7XV7V5BXC5/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":"2026-08-07T06:18:25Z","links":{"resolver":"https://pith.science/pith/7EWJCQWVZXSRIQYL7XV7V5BXC5","bundle":"https://pith.science/pith/7EWJCQWVZXSRIQYL7XV7V5BXC5/bundle.json","state":"https://pith.science/pith/7EWJCQWVZXSRIQYL7XV7V5BXC5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7EWJCQWVZXSRIQYL7XV7V5BXC5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7EWJCQWVZXSRIQYL7XV7V5BXC5","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":"7838e22b8af9822fc3c8e3bba156e3d34fdf7210c0db701712774d7a9e2239be","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T08:57:03Z","title_canon_sha256":"2fedf2ccbf9c9a5462b9060a7d23e93fd35ed100e0b78c06a06ba2144505ef40"},"schema_version":"1.0","source":{"id":"2308.07650","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.07650","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"arxiv_version","alias_value":"2308.07650v1","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.07650","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"pith_short_12","alias_value":"7EWJCQWVZXSR","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"pith_short_16","alias_value":"7EWJCQWVZXSRIQYL","created_at":"2026-07-05T06:41:29Z"},{"alias_kind":"pith_short_8","alias_value":"7EWJCQWV","created_at":"2026-07-05T06:41:29Z"}],"graph_snapshots":[{"event_id":"sha256:2609bf1b64f758a1bf2163cda0be9b88c382b4dc0fd0cc80371142033bf0a143","target":"graph","created_at":"2026-07-05T06:41:29Z","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/2308.07650/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current model quantization methods have shown their promising capability in reducing storage space and computation complexity. However, due to the diversity of quantization forms supported by different hardware, one limitation of existing solutions is that usually require repeated optimization for different scenarios. How to construct a model with flexible quantization forms has been less studied. In this paper, we explore a one-shot network quantization regime, named Elastic Quantization Neural Networks (EQ-Net), which aims to train a robust weight-sharing quantization supernet. First of all,","authors_text":"Ke Xu, Lei Han, Shangshang Yang, Xingyi Zhang, Ye Tian","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T08:57:03Z","title":"EQ-Net: Elastic Quantization Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.07650","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":"sha256:7c0b806e2067188ff57ed63998292aed33def2dd0f15e7f9bf7031562f1c123a","target":"record","created_at":"2026-07-05T06:41:29Z","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":"7838e22b8af9822fc3c8e3bba156e3d34fdf7210c0db701712774d7a9e2239be","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-15T08:57:03Z","title_canon_sha256":"2fedf2ccbf9c9a5462b9060a7d23e93fd35ed100e0b78c06a06ba2144505ef40"},"schema_version":"1.0","source":{"id":"2308.07650","kind":"arxiv","version":1}},"canonical_sha256":"f92c9142d5cde514430bfdebfaf437177d588bc001c307a42c255c3ca5e71adc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f92c9142d5cde514430bfdebfaf437177d588bc001c307a42c255c3ca5e71adc","first_computed_at":"2026-07-05T06:41:29.117749Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:41:29.117749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZihJScpQRWPwyxHOHmU4XL4DIhRWGtAm6t6++UaSTwxHweAQWgJuRig4iksjWNlQhWco/XTfcx+LS+mZVB33CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:41:29.118188Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.07650","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c0b806e2067188ff57ed63998292aed33def2dd0f15e7f9bf7031562f1c123a","sha256:2609bf1b64f758a1bf2163cda0be9b88c382b4dc0fd0cc80371142033bf0a143"],"state_sha256":"cd574f83828bf4383c2089925e49a679982742e3a9c1a288c159a5c8038987d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C9LBu32lZ6wYp24pRPw9xpFuAL/Jhe9zO83ZkjeZ3UJyZ0K5yumpw31iEKYjWmiITvNDk3ztt7xAQ3TZTw+jBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:18:25.012462Z","bundle_sha256":"d8915c0e1c82fc78536cc07454bec6bb664aeb58cdaf877bb78d39a66ac7123b"}}