{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:LONP2TKIQKP7CZCECC6OQQG7Z4","short_pith_number":"pith:LONP2TKI","canonical_record":{"source":{"id":"2204.07154","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-14T17:59:05Z","cross_cats_sorted":[],"title_canon_sha256":"c5efd65193f1712298c5eedb44d63a1113658b2ab394ae3b5af22a506b82eb72","abstract_canon_sha256":"904e49179e9d844330872cbb7288769b8b6298db3603d520cd5f60bbb21d6d50"},"schema_version":"1.0"},"canonical_sha256":"5b9afd4d48829ff1644410bce840dfcf0ce8079c23b0c705c00c349335f8fc99","source":{"kind":"arxiv","id":"2204.07154","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.07154","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"arxiv_version","alias_value":"2204.07154v1","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.07154","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"pith_short_12","alias_value":"LONP2TKIQKP7","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"pith_short_16","alias_value":"LONP2TKIQKP7CZCE","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"pith_short_8","alias_value":"LONP2TKI","created_at":"2026-07-05T04:14:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:LONP2TKIQKP7CZCECC6OQQG7Z4","target":"record","payload":{"canonical_record":{"source":{"id":"2204.07154","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-14T17:59:05Z","cross_cats_sorted":[],"title_canon_sha256":"c5efd65193f1712298c5eedb44d63a1113658b2ab394ae3b5af22a506b82eb72","abstract_canon_sha256":"904e49179e9d844330872cbb7288769b8b6298db3603d520cd5f60bbb21d6d50"},"schema_version":"1.0"},"canonical_sha256":"5b9afd4d48829ff1644410bce840dfcf0ce8079c23b0c705c00c349335f8fc99","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:14:50.169694Z","signature_b64":"/fCTWgAB85zhGYbXra+I9lT8veR8NKs0IIp4WFM4eJQWjJ3ZeuzhClfl2hJIlO13bfp/eUBTRoc9LsmJZG4kBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b9afd4d48829ff1644410bce840dfcf0ce8079c23b0c705c00c349335f8fc99","last_reissued_at":"2026-07-05T04:14:50.169196Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:14:50.169196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.07154","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":"2026-07-05T04:14:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6ziQvRGFfn2PC6K5AaLqDMAz8ZYj6Y1gb81RQjWOcaACQK4g5nREdTrK9BLbGXb43AZeQNbdfcvsqNhOXNy4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:05:29.847064Z"},"content_sha256":"1d1e82ce59e1d3cffa65f526d76b473a188ea84ddbf06a26f88c00fe9fbf8b8d","schema_version":"1.0","event_id":"sha256:1d1e82ce59e1d3cffa65f526d76b473a188ea84ddbf06a26f88c00fe9fbf8b8d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:LONP2TKIQKP7CZCECC6OQQG7Z4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MiniViT: Compressing Vision Transformers with Weight Multiplexing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Xiao, Houwen Peng, Jianlong Fu, Jinnian Zhang, Kan Wu, Lu Yuan, Mengchen Liu","submitted_at":"2022-04-14T17:59:05Z","abstract_excerpt":"Vision Transformer (ViT) models have recently drawn much attention in computer vision due to their high model capability. However, ViT models suffer from huge number of parameters, restricting their applicability on devices with limited memory. To alleviate this problem, we propose MiniViT, a new compression framework, which achieves parameter reduction in vision transformers while retaining the same performance. The central idea of MiniViT is to multiplex the weights of consecutive transformer blocks. More specifically, we make the weights shared across layers, while imposing a transformation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.07154","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/2204.07154/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":"2026-07-05T04:14:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hBJqHL60IlJteUdalNQIiWbmkPP1KdO/jg9Wu2p06AdPqcoaZaVs7jEUbbZU7u+DN5O2EGqINvCqPTvAgkzYCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:05:29.847574Z"},"content_sha256":"ea70d774b6b5c4700c798e37697489d84053f8fbcf7df25598cace079c4957be","schema_version":"1.0","event_id":"sha256:ea70d774b6b5c4700c798e37697489d84053f8fbcf7df25598cace079c4957be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LONP2TKIQKP7CZCECC6OQQG7Z4/bundle.json","state_url":"https://pith.science/pith/LONP2TKIQKP7CZCECC6OQQG7Z4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LONP2TKIQKP7CZCECC6OQQG7Z4/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":"2026-08-04T21:05:29Z","links":{"resolver":"https://pith.science/pith/LONP2TKIQKP7CZCECC6OQQG7Z4","bundle":"https://pith.science/pith/LONP2TKIQKP7CZCECC6OQQG7Z4/bundle.json","state":"https://pith.science/pith/LONP2TKIQKP7CZCECC6OQQG7Z4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LONP2TKIQKP7CZCECC6OQQG7Z4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:LONP2TKIQKP7CZCECC6OQQG7Z4","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":"904e49179e9d844330872cbb7288769b8b6298db3603d520cd5f60bbb21d6d50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-14T17:59:05Z","title_canon_sha256":"c5efd65193f1712298c5eedb44d63a1113658b2ab394ae3b5af22a506b82eb72"},"schema_version":"1.0","source":{"id":"2204.07154","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.07154","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"arxiv_version","alias_value":"2204.07154v1","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.07154","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"pith_short_12","alias_value":"LONP2TKIQKP7","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"pith_short_16","alias_value":"LONP2TKIQKP7CZCE","created_at":"2026-07-05T04:14:50Z"},{"alias_kind":"pith_short_8","alias_value":"LONP2TKI","created_at":"2026-07-05T04:14:50Z"}],"graph_snapshots":[{"event_id":"sha256:ea70d774b6b5c4700c798e37697489d84053f8fbcf7df25598cace079c4957be","target":"graph","created_at":"2026-07-05T04:14:50Z","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/2204.07154/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision Transformer (ViT) models have recently drawn much attention in computer vision due to their high model capability. However, ViT models suffer from huge number of parameters, restricting their applicability on devices with limited memory. To alleviate this problem, we propose MiniViT, a new compression framework, which achieves parameter reduction in vision transformers while retaining the same performance. The central idea of MiniViT is to multiplex the weights of consecutive transformer blocks. More specifically, we make the weights shared across layers, while imposing a transformation","authors_text":"Bin Xiao, Houwen Peng, Jianlong Fu, Jinnian Zhang, Kan Wu, Lu Yuan, Mengchen Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-14T17:59:05Z","title":"MiniViT: Compressing Vision Transformers with Weight Multiplexing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.07154","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":"sha256:1d1e82ce59e1d3cffa65f526d76b473a188ea84ddbf06a26f88c00fe9fbf8b8d","target":"record","created_at":"2026-07-05T04:14:50Z","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":"904e49179e9d844330872cbb7288769b8b6298db3603d520cd5f60bbb21d6d50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-14T17:59:05Z","title_canon_sha256":"c5efd65193f1712298c5eedb44d63a1113658b2ab394ae3b5af22a506b82eb72"},"schema_version":"1.0","source":{"id":"2204.07154","kind":"arxiv","version":1}},"canonical_sha256":"5b9afd4d48829ff1644410bce840dfcf0ce8079c23b0c705c00c349335f8fc99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b9afd4d48829ff1644410bce840dfcf0ce8079c23b0c705c00c349335f8fc99","first_computed_at":"2026-07-05T04:14:50.169196Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:14:50.169196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/fCTWgAB85zhGYbXra+I9lT8veR8NKs0IIp4WFM4eJQWjJ3ZeuzhClfl2hJIlO13bfp/eUBTRoc9LsmJZG4kBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:14:50.169694Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.07154","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d1e82ce59e1d3cffa65f526d76b473a188ea84ddbf06a26f88c00fe9fbf8b8d","sha256:ea70d774b6b5c4700c798e37697489d84053f8fbcf7df25598cace079c4957be"],"state_sha256":"72532521ee5b2689dfb37f3314ed68e7bb8c5672b332e0ba6ee7884b5ab09203"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZC/fJaV9Xw5aic7ToG+vZ9BKD5oRS4jAibwINcZ83e2Wj+Gdx6jE13Be413aLrC9c2eEAqstr13X5fjPkJwwCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T21:05:29.853317Z","bundle_sha256":"845bcd73db767562caef70d1846427524300e5db22a3cfd97c5a36762985b930"}}