{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DMG43XOFSOYNEDRJVD7DQYLKN4","short_pith_number":"pith:DMG43XOF","canonical_record":{"source":{"id":"2407.20021","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T13:57:40Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"12e37da58d6b995534be05f7818f2d88c3c5dacecbd5f7c62ddd2bb24fd26c74","abstract_canon_sha256":"b3a8b8cd18da7e7fa8a59ebbb576ef92e84b7afca447a4576359eb9104bf0cf4"},"schema_version":"1.0"},"canonical_sha256":"1b0dcdddc593b0d20e29a8fe38616a6f2254837c815b8fab0cc7025c479043b9","source":{"kind":"arxiv","id":"2407.20021","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.20021","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"arxiv_version","alias_value":"2407.20021v4","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.20021","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"pith_short_12","alias_value":"DMG43XOFSOYN","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"pith_short_16","alias_value":"DMG43XOFSOYNEDRJ","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"pith_short_8","alias_value":"DMG43XOF","created_at":"2026-07-05T10:48:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DMG43XOFSOYNEDRJVD7DQYLKN4","target":"record","payload":{"canonical_record":{"source":{"id":"2407.20021","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T13:57:40Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"12e37da58d6b995534be05f7818f2d88c3c5dacecbd5f7c62ddd2bb24fd26c74","abstract_canon_sha256":"b3a8b8cd18da7e7fa8a59ebbb576ef92e84b7afca447a4576359eb9104bf0cf4"},"schema_version":"1.0"},"canonical_sha256":"1b0dcdddc593b0d20e29a8fe38616a6f2254837c815b8fab0cc7025c479043b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:48:18.116125Z","signature_b64":"zJ/0DHlt/i6BmueNmBoMZFRXPStB0pC7j8g8v2m3qB+D4reofDXI9rmOqXdag2AYdha/KiRW93nFq/jKoiUQDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b0dcdddc593b0d20e29a8fe38616a6f2254837c815b8fab0cc7025c479043b9","last_reissued_at":"2026-07-05T10:48:18.115674Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:48:18.115674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.20021","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":"2026-07-05T10:48:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nTBZPvud+FDJkiV+/zQKkMsIOZnxjAGGwzv9AGVSFDMNlH7UMkg5zucEs8q69P/NYmIIfB483CspY+xU8EBFBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T21:12:11.577806Z"},"content_sha256":"ac7fbf6a48ba3cb83157782bbc7fb188ee951e4c0a91fd6b78bda4b54dcc76b5","schema_version":"1.0","event_id":"sha256:ac7fbf6a48ba3cb83157782bbc7fb188ee951e4c0a91fd6b78bda4b54dcc76b5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DMG43XOFSOYNEDRJVD7DQYLKN4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Dain Kwon, Hye Yoon Lee, Jinho Lee, Jonghyun Choi, Kanghyun Choi, Kyuyeun Kim, Noseong Park, Sunjong Park","submitted_at":"2024-07-29T13:57:40Z","abstract_excerpt":"Data-free quantization (DFQ) is a technique that creates a lightweight network from its full-precision counterpart without the original training data, often through a synthetic dataset. Although several DFQ methods have been proposed for vision transformer (ViT) architectures, they fail to achieve efficacy in low-bit settings. Examining the existing methods, we observe that their synthetic data produce misaligned attention maps, while those of the real samples are highly aligned. From this observation, we find that aligning attention maps of synthetic data helps improve the overall performance"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.20021","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/2407.20021/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":"2026-07-05T10:48:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3luIK/ErynG3aRnRBGjvDd7Nt/OeXcsNDJlTo3cJ+84MiI9e96c/c2MggNm8PhaDTL5Ulk7sMUcRKV/oEQRmBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T21:12:11.578304Z"},"content_sha256":"95f065a18e4f5af31731a35623a9bbc1af02a5ce58e6c6281cf494292feb5a11","schema_version":"1.0","event_id":"sha256:95f065a18e4f5af31731a35623a9bbc1af02a5ce58e6c6281cf494292feb5a11"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DMG43XOFSOYNEDRJVD7DQYLKN4/bundle.json","state_url":"https://pith.science/pith/DMG43XOFSOYNEDRJVD7DQYLKN4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DMG43XOFSOYNEDRJVD7DQYLKN4/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":"2026-08-20T21:12:11Z","links":{"resolver":"https://pith.science/pith/DMG43XOFSOYNEDRJVD7DQYLKN4","bundle":"https://pith.science/pith/DMG43XOFSOYNEDRJVD7DQYLKN4/bundle.json","state":"https://pith.science/pith/DMG43XOFSOYNEDRJVD7DQYLKN4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DMG43XOFSOYNEDRJVD7DQYLKN4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DMG43XOFSOYNEDRJVD7DQYLKN4","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":"b3a8b8cd18da7e7fa8a59ebbb576ef92e84b7afca447a4576359eb9104bf0cf4","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T13:57:40Z","title_canon_sha256":"12e37da58d6b995534be05f7818f2d88c3c5dacecbd5f7c62ddd2bb24fd26c74"},"schema_version":"1.0","source":{"id":"2407.20021","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.20021","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"arxiv_version","alias_value":"2407.20021v4","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.20021","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"pith_short_12","alias_value":"DMG43XOFSOYN","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"pith_short_16","alias_value":"DMG43XOFSOYNEDRJ","created_at":"2026-07-05T10:48:18Z"},{"alias_kind":"pith_short_8","alias_value":"DMG43XOF","created_at":"2026-07-05T10:48:18Z"}],"graph_snapshots":[{"event_id":"sha256:95f065a18e4f5af31731a35623a9bbc1af02a5ce58e6c6281cf494292feb5a11","target":"graph","created_at":"2026-07-05T10:48:18Z","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/2407.20021/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data-free quantization (DFQ) is a technique that creates a lightweight network from its full-precision counterpart without the original training data, often through a synthetic dataset. Although several DFQ methods have been proposed for vision transformer (ViT) architectures, they fail to achieve efficacy in low-bit settings. Examining the existing methods, we observe that their synthetic data produce misaligned attention maps, while those of the real samples are highly aligned. From this observation, we find that aligning attention maps of synthetic data helps improve the overall performance","authors_text":"Dain Kwon, Hye Yoon Lee, Jinho Lee, Jonghyun Choi, Kanghyun Choi, Kyuyeun Kim, Noseong Park, Sunjong Park","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T13:57:40Z","title":"MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.20021","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:ac7fbf6a48ba3cb83157782bbc7fb188ee951e4c0a91fd6b78bda4b54dcc76b5","target":"record","created_at":"2026-07-05T10:48:18Z","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":"b3a8b8cd18da7e7fa8a59ebbb576ef92e84b7afca447a4576359eb9104bf0cf4","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T13:57:40Z","title_canon_sha256":"12e37da58d6b995534be05f7818f2d88c3c5dacecbd5f7c62ddd2bb24fd26c74"},"schema_version":"1.0","source":{"id":"2407.20021","kind":"arxiv","version":4}},"canonical_sha256":"1b0dcdddc593b0d20e29a8fe38616a6f2254837c815b8fab0cc7025c479043b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b0dcdddc593b0d20e29a8fe38616a6f2254837c815b8fab0cc7025c479043b9","first_computed_at":"2026-07-05T10:48:18.115674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:48:18.115674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zJ/0DHlt/i6BmueNmBoMZFRXPStB0pC7j8g8v2m3qB+D4reofDXI9rmOqXdag2AYdha/KiRW93nFq/jKoiUQDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:48:18.116125Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.20021","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac7fbf6a48ba3cb83157782bbc7fb188ee951e4c0a91fd6b78bda4b54dcc76b5","sha256:95f065a18e4f5af31731a35623a9bbc1af02a5ce58e6c6281cf494292feb5a11"],"state_sha256":"2bf641789b865a2f5aef298b76ac664c19bb17064680ec49721d8d79102e999b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tb3qbQVW3dKuIRApA+GW03Hn03b/VhbCSHUgdZcwiWVgo83sK/likupk4Wb5YDAl/Po92pa0RccKAB9bhBioDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T21:12:11.583412Z","bundle_sha256":"777a71a3423fd9d5353588111151905c26407bd2d4b127cafa611ab755360cd9"}}