{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:EHSGXYFECW7AYJGJEDWNMGMXMK","short_pith_number":"pith:EHSGXYFE","canonical_record":{"source":{"id":"2205.14338","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-28T05:13:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c62eb5d8705333bebf8202356c6579b4bd36851676335784c976b402e924f1c3","abstract_canon_sha256":"7d7f3f212385b6e20b51721eef872150318b7830d2021f25f05f869306d24e64"},"schema_version":"1.0"},"canonical_sha256":"21e46be0a415be0c24c920ecd6199762af11593b147f1ea318fb3d76fffece3f","source":{"kind":"arxiv","id":"2205.14338","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.14338","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"arxiv_version","alias_value":"2205.14338v1","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.14338","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"pith_short_12","alias_value":"EHSGXYFECW7A","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"pith_short_16","alias_value":"EHSGXYFECW7AYJGJ","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"pith_short_8","alias_value":"EHSGXYFE","created_at":"2026-07-05T04:27:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:EHSGXYFECW7AYJGJEDWNMGMXMK","target":"record","payload":{"canonical_record":{"source":{"id":"2205.14338","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-28T05:13:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c62eb5d8705333bebf8202356c6579b4bd36851676335784c976b402e924f1c3","abstract_canon_sha256":"7d7f3f212385b6e20b51721eef872150318b7830d2021f25f05f869306d24e64"},"schema_version":"1.0"},"canonical_sha256":"21e46be0a415be0c24c920ecd6199762af11593b147f1ea318fb3d76fffece3f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:27:16.351139Z","signature_b64":"jyxWUEMdIlXHx1yhYtFJsvnKd0UsnUQGXu7vqBvAhMk6B5zAv9cTf6ag73l2PAzVv/pmH5SNdkYETdVM0/P1Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21e46be0a415be0c24c920ecd6199762af11593b147f1ea318fb3d76fffece3f","last_reissued_at":"2026-07-05T04:27:16.350719Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:27:16.350719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.14338","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":"2026-07-05T04:27:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y/kV04pddTniWOiw9IdJGH03AaLKzgzIpIpfnUQkbXL1ZcnYt31IBwE9251sfgqkes70GvsFwL3LQypCaY0DDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:56:39.817626Z"},"content_sha256":"3dc366166a0ba804cbba81ba87dece4553cfab305f1be9b90f1558954f5c2c9b","schema_version":"1.0","event_id":"sha256:3dc366166a0ba804cbba81ba87dece4553cfab305f1be9b90f1558954f5c2c9b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:EHSGXYFECW7AYJGJEDWNMGMXMK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Object-wise Masked Autoencoders for Fast Pre-training","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Jiantao Wu, Shentong Mo","submitted_at":"2022-05-28T05:13:45Z","abstract_excerpt":"Self-supervised pre-training for images without labels has recently achieved promising performance in image classification. The success of transformer-based methods, ViT and MAE, draws the community's attention to the design of backbone architecture and self-supervised task. In this work, we show that current masked image encoding models learn the underlying relationship between all objects in the whole scene, instead of a single object representation. Therefore, those methods bring a lot of compute time for self-supervised pre-training. To solve this issue, we introduce a novel object selecti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.14338","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/2205.14338/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":"2026-07-05T04:27:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b08j71QTWx/FFqyo9FnA6o4OWnlWJN3PfhRnQg9OE6vXO49fs9X12ONJVlyMSQY8A+j7DcmosyyY655v2rsRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:56:39.818220Z"},"content_sha256":"e607a66e098af618c821b3e4294923bfbf8eb947c7d75bf14126112814c060e3","schema_version":"1.0","event_id":"sha256:e607a66e098af618c821b3e4294923bfbf8eb947c7d75bf14126112814c060e3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EHSGXYFECW7AYJGJEDWNMGMXMK/bundle.json","state_url":"https://pith.science/pith/EHSGXYFECW7AYJGJEDWNMGMXMK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EHSGXYFECW7AYJGJEDWNMGMXMK/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":"2026-08-09T10:56:39Z","links":{"resolver":"https://pith.science/pith/EHSGXYFECW7AYJGJEDWNMGMXMK","bundle":"https://pith.science/pith/EHSGXYFECW7AYJGJEDWNMGMXMK/bundle.json","state":"https://pith.science/pith/EHSGXYFECW7AYJGJEDWNMGMXMK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EHSGXYFECW7AYJGJEDWNMGMXMK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:EHSGXYFECW7AYJGJEDWNMGMXMK","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":"7d7f3f212385b6e20b51721eef872150318b7830d2021f25f05f869306d24e64","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-28T05:13:45Z","title_canon_sha256":"c62eb5d8705333bebf8202356c6579b4bd36851676335784c976b402e924f1c3"},"schema_version":"1.0","source":{"id":"2205.14338","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.14338","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"arxiv_version","alias_value":"2205.14338v1","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.14338","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"pith_short_12","alias_value":"EHSGXYFECW7A","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"pith_short_16","alias_value":"EHSGXYFECW7AYJGJ","created_at":"2026-07-05T04:27:16Z"},{"alias_kind":"pith_short_8","alias_value":"EHSGXYFE","created_at":"2026-07-05T04:27:16Z"}],"graph_snapshots":[{"event_id":"sha256:e607a66e098af618c821b3e4294923bfbf8eb947c7d75bf14126112814c060e3","target":"graph","created_at":"2026-07-05T04:27:16Z","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/2205.14338/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised pre-training for images without labels has recently achieved promising performance in image classification. The success of transformer-based methods, ViT and MAE, draws the community's attention to the design of backbone architecture and self-supervised task. In this work, we show that current masked image encoding models learn the underlying relationship between all objects in the whole scene, instead of a single object representation. Therefore, those methods bring a lot of compute time for self-supervised pre-training. To solve this issue, we introduce a novel object selecti","authors_text":"Jiantao Wu, Shentong Mo","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-28T05:13:45Z","title":"Object-wise Masked Autoencoders for Fast Pre-training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.14338","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":"sha256:3dc366166a0ba804cbba81ba87dece4553cfab305f1be9b90f1558954f5c2c9b","target":"record","created_at":"2026-07-05T04:27:16Z","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":"7d7f3f212385b6e20b51721eef872150318b7830d2021f25f05f869306d24e64","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-28T05:13:45Z","title_canon_sha256":"c62eb5d8705333bebf8202356c6579b4bd36851676335784c976b402e924f1c3"},"schema_version":"1.0","source":{"id":"2205.14338","kind":"arxiv","version":1}},"canonical_sha256":"21e46be0a415be0c24c920ecd6199762af11593b147f1ea318fb3d76fffece3f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21e46be0a415be0c24c920ecd6199762af11593b147f1ea318fb3d76fffece3f","first_computed_at":"2026-07-05T04:27:16.350719Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:27:16.350719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jyxWUEMdIlXHx1yhYtFJsvnKd0UsnUQGXu7vqBvAhMk6B5zAv9cTf6ag73l2PAzVv/pmH5SNdkYETdVM0/P1Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:27:16.351139Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.14338","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3dc366166a0ba804cbba81ba87dece4553cfab305f1be9b90f1558954f5c2c9b","sha256:e607a66e098af618c821b3e4294923bfbf8eb947c7d75bf14126112814c060e3"],"state_sha256":"75cb5f209e0256659f2c265eb6567899a0dd2f25e92a524e038b318391ec5033"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LiDfco2g/X729jLfpi2ywvZ8KMCHEvXUTrfd7L8t6p/IAC+QVJETQH/j6Frd+3GJ44mwNziKb4hawHsk+y2pAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T10:56:39.822538Z","bundle_sha256":"025fb433c391bd25ff4f8cb5c57acca268edc18b734102652506c3a6c2f9a571"}}