{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:B7AUZ6KSPEJUZYY3MR2LGJYBAV","short_pith_number":"pith:B7AUZ6KS","canonical_record":{"source":{"id":"2505.09188","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-14T06:39:01Z","cross_cats_sorted":[],"title_canon_sha256":"06c40ea04fc3c68e3a8160e20eaab794091f1be6a12aad2b249ddc69d1499cf5","abstract_canon_sha256":"960a6a9d6e1215c825121cf6502acc04449eb7e2a099dce9dad13485aeb1c122"},"schema_version":"1.0"},"canonical_sha256":"0fc14cf95279134ce31b6474b327010559d0e9824b560adcb9880d302bce0cef","source":{"kind":"arxiv","id":"2505.09188","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.09188","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"arxiv_version","alias_value":"2505.09188v1","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.09188","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"pith_short_12","alias_value":"B7AUZ6KSPEJU","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"pith_short_16","alias_value":"B7AUZ6KSPEJUZYY3","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"pith_short_8","alias_value":"B7AUZ6KS","created_at":"2026-07-05T11:02:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:B7AUZ6KSPEJUZYY3MR2LGJYBAV","target":"record","payload":{"canonical_record":{"source":{"id":"2505.09188","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-14T06:39:01Z","cross_cats_sorted":[],"title_canon_sha256":"06c40ea04fc3c68e3a8160e20eaab794091f1be6a12aad2b249ddc69d1499cf5","abstract_canon_sha256":"960a6a9d6e1215c825121cf6502acc04449eb7e2a099dce9dad13485aeb1c122"},"schema_version":"1.0"},"canonical_sha256":"0fc14cf95279134ce31b6474b327010559d0e9824b560adcb9880d302bce0cef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:02:51.961085Z","signature_b64":"zxJKEdo/wPPsTIfe/xoueCczmdQjWJd5GkjKxYWUBfGEvYSE8DJ4uevPFiyGqCMIIDBP4x44wMuELltKXp9XDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0fc14cf95279134ce31b6474b327010559d0e9824b560adcb9880d302bce0cef","last_reissued_at":"2026-07-05T11:02:51.960682Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:02:51.960682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.09188","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":"2026-07-05T11:02:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aiBGAh1xmukiMu2J7hS0FGeixye9P6/lYpC/8RQOytZH/ETnZ5fA1v/2IMKh/m04AIKLCxsUiYiw1wvqech0AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:50:21.139388Z"},"content_sha256":"7f5fb939cab9f0c6a75c1728eb7fc3e1cfbad20ef966a60185e0f00e628ed3f2","schema_version":"1.0","event_id":"sha256:7f5fb939cab9f0c6a75c1728eb7fc3e1cfbad20ef966a60185e0f00e628ed3f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:B7AUZ6KSPEJUZYY3MR2LGJYBAV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Zero-shot Quantization: A Comprehensive Survey","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jaehyeon Choi, Jongkeun Lee, Minjun Kim, U Kang, Wonjin Cho","submitted_at":"2025-05-14T06:39:01Z","abstract_excerpt":"Network quantization has proven to be a powerful approach to reduce the memory and computational demands of deep learning models for deployment on resource-constrained devices. However, traditional quantization methods often rely on access to training data, which is impractical in many real-world scenarios due to privacy, security, or regulatory constraints. Zero-shot Quantization (ZSQ) emerges as a promising solution, achieving quantization without requiring any real data. In this paper, we provide a comprehensive overview of ZSQ methods and their recent advancements. First, we provide a form"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.09188","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/2505.09188/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":"2026-07-05T11:02:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3uIAObqkQ90WW2i9kMW3b2Om930gtjTI3jEdQDAQBVHFjn/FyIBXX33HpPci4Dsb2PMC6xcbBTAIDv+j9ChJCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:50:21.139908Z"},"content_sha256":"60819d36c7daaee015c784b80368a6438b6607b4fce3a4deb77f4b9abbc561a7","schema_version":"1.0","event_id":"sha256:60819d36c7daaee015c784b80368a6438b6607b4fce3a4deb77f4b9abbc561a7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B7AUZ6KSPEJUZYY3MR2LGJYBAV/bundle.json","state_url":"https://pith.science/pith/B7AUZ6KSPEJUZYY3MR2LGJYBAV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B7AUZ6KSPEJUZYY3MR2LGJYBAV/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":"2026-08-03T17:50:21Z","links":{"resolver":"https://pith.science/pith/B7AUZ6KSPEJUZYY3MR2LGJYBAV","bundle":"https://pith.science/pith/B7AUZ6KSPEJUZYY3MR2LGJYBAV/bundle.json","state":"https://pith.science/pith/B7AUZ6KSPEJUZYY3MR2LGJYBAV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B7AUZ6KSPEJUZYY3MR2LGJYBAV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:B7AUZ6KSPEJUZYY3MR2LGJYBAV","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":"960a6a9d6e1215c825121cf6502acc04449eb7e2a099dce9dad13485aeb1c122","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-14T06:39:01Z","title_canon_sha256":"06c40ea04fc3c68e3a8160e20eaab794091f1be6a12aad2b249ddc69d1499cf5"},"schema_version":"1.0","source":{"id":"2505.09188","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.09188","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"arxiv_version","alias_value":"2505.09188v1","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.09188","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"pith_short_12","alias_value":"B7AUZ6KSPEJU","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"pith_short_16","alias_value":"B7AUZ6KSPEJUZYY3","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"pith_short_8","alias_value":"B7AUZ6KS","created_at":"2026-07-05T11:02:51Z"}],"graph_snapshots":[{"event_id":"sha256:60819d36c7daaee015c784b80368a6438b6607b4fce3a4deb77f4b9abbc561a7","target":"graph","created_at":"2026-07-05T11:02:51Z","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/2505.09188/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Network quantization has proven to be a powerful approach to reduce the memory and computational demands of deep learning models for deployment on resource-constrained devices. However, traditional quantization methods often rely on access to training data, which is impractical in many real-world scenarios due to privacy, security, or regulatory constraints. Zero-shot Quantization (ZSQ) emerges as a promising solution, achieving quantization without requiring any real data. In this paper, we provide a comprehensive overview of ZSQ methods and their recent advancements. First, we provide a form","authors_text":"Jaehyeon Choi, Jongkeun Lee, Minjun Kim, U Kang, Wonjin Cho","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-14T06:39:01Z","title":"Zero-shot Quantization: A Comprehensive Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.09188","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":"sha256:7f5fb939cab9f0c6a75c1728eb7fc3e1cfbad20ef966a60185e0f00e628ed3f2","target":"record","created_at":"2026-07-05T11:02:51Z","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":"960a6a9d6e1215c825121cf6502acc04449eb7e2a099dce9dad13485aeb1c122","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-14T06:39:01Z","title_canon_sha256":"06c40ea04fc3c68e3a8160e20eaab794091f1be6a12aad2b249ddc69d1499cf5"},"schema_version":"1.0","source":{"id":"2505.09188","kind":"arxiv","version":1}},"canonical_sha256":"0fc14cf95279134ce31b6474b327010559d0e9824b560adcb9880d302bce0cef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0fc14cf95279134ce31b6474b327010559d0e9824b560adcb9880d302bce0cef","first_computed_at":"2026-07-05T11:02:51.960682Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:51.960682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zxJKEdo/wPPsTIfe/xoueCczmdQjWJd5GkjKxYWUBfGEvYSE8DJ4uevPFiyGqCMIIDBP4x44wMuELltKXp9XDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:51.961085Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.09188","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f5fb939cab9f0c6a75c1728eb7fc3e1cfbad20ef966a60185e0f00e628ed3f2","sha256:60819d36c7daaee015c784b80368a6438b6607b4fce3a4deb77f4b9abbc561a7"],"state_sha256":"6bdf961720e0972cf70fc501540b67aee688923f3d8b3767fefe87f87f9d8635"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wj0RVogT2qw2+asqh/eUQsJCe0p9cBdbfFGDPOJzxaoiwSAksoBSaBLtmTtacz12mhbniXzfZcs/SwD25HFvDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:50:21.145033Z","bundle_sha256":"253b4df749e78622ee118cd142f502a23333d68d38222b8d96f64ff79ddda38d"}}