{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:LORBUD2M4YVJ62JPLKZDJALFSP","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":"4196a9d9e3d33b6aaf2f372c35ea111a1037e3a2d7e8034b103ba31aa638eb4b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-11T17:59:42Z","title_canon_sha256":"35875244c4fd76fdbcbdfb71ced5ed3fea1d7c30cb717c65edd43d238142da79"},"schema_version":"1.0","source":{"id":"2111.06349","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.06349","created_at":"2026-07-05T04:06:46Z"},{"alias_kind":"arxiv_version","alias_value":"2111.06349v2","created_at":"2026-07-05T04:06:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.06349","created_at":"2026-07-05T04:06:46Z"},{"alias_kind":"pith_short_12","alias_value":"LORBUD2M4YVJ","created_at":"2026-07-05T04:06:46Z"},{"alias_kind":"pith_short_16","alias_value":"LORBUD2M4YVJ62JP","created_at":"2026-07-05T04:06:46Z"},{"alias_kind":"pith_short_8","alias_value":"LORBUD2M","created_at":"2026-07-05T04:06:46Z"}],"graph_snapshots":[{"event_id":"sha256:a54e13cf6765044d0da27e8bc71ec72aaf41a6cc8c06eda1a4d0bd89cbb6a3d3","target":"graph","created_at":"2026-07-05T04:06:46Z","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/2111.06349/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The goal of self-supervised visual representation learning is to learn strong, transferable image representations, with the majority of research focusing on object or scene level. On the other hand, representation learning at part level has received significantly less attention. In this paper, we propose an unsupervised approach to object part discovery and segmentation and make three contributions. First, we construct a proxy task through a set of objectives that encourages the model to learn a meaningful decomposition of the image into its parts. Secondly, prior work argues for reconstructin","authors_text":"Andrea Vedaldi, Christian Rupprecht, Iro Laina, Subhabrata Choudhury","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-11T17:59:42Z","title":"Unsupervised Part Discovery from Contrastive Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.06349","kind":"arxiv","version":2},"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:f45334519075ab7c688254b83ec853400f7a729ab998f55e2a50053a6b3503fa","target":"record","created_at":"2026-07-05T04:06:46Z","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":"4196a9d9e3d33b6aaf2f372c35ea111a1037e3a2d7e8034b103ba31aa638eb4b","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-11T17:59:42Z","title_canon_sha256":"35875244c4fd76fdbcbdfb71ced5ed3fea1d7c30cb717c65edd43d238142da79"},"schema_version":"1.0","source":{"id":"2111.06349","kind":"arxiv","version":2}},"canonical_sha256":"5ba21a0f4ce62a9f692f5ab234816593e2028c0bbc6bcd5b4bb7ec75c388b4d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5ba21a0f4ce62a9f692f5ab234816593e2028c0bbc6bcd5b4bb7ec75c388b4d2","first_computed_at":"2026-07-05T04:06:46.956665Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:06:46.956665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HGKX5XvfnD/scIWx5OwiJh2ixLTjRoJouwEP7F9bf3BPIfdkEBxpG2vhHJMSJKlRBmMPYs5O5zoDpWOrkO9XCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:06:46.957084Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.06349","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f45334519075ab7c688254b83ec853400f7a729ab998f55e2a50053a6b3503fa","sha256:a54e13cf6765044d0da27e8bc71ec72aaf41a6cc8c06eda1a4d0bd89cbb6a3d3"],"state_sha256":"e7cd59beeacc763dfb3a6d57ef6f2269ca132eacf0896342a5977025c9cd7c5c"}