{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XA2S5ZCRJIUTF2TXP4XHD4RHB4","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":"94a1d08223f295ea56cbefad68340caba2a1cfdce5931afe80296c8a86f2006a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-22T14:56:31Z","title_canon_sha256":"9db616ce0117b8629336d189fa9626700a3a983f25c198bb608e97e0afc4f3d6"},"schema_version":"1.0","source":{"id":"1701.06171","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.06171","created_at":"2026-05-17T23:48:41Z"},{"alias_kind":"arxiv_version","alias_value":"1701.06171v4","created_at":"2026-05-17T23:48:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.06171","created_at":"2026-05-17T23:48:41Z"},{"alias_kind":"pith_short_12","alias_value":"XA2S5ZCRJIUT","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"XA2S5ZCRJIUTF2TX","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"XA2S5ZCR","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:85528fd76f27c70802ec1b01905c4d4e1a40107e525bf2262fc5a461cb66b00e","target":"graph","created_at":"2026-05-17T23:48:41Z","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"},"paper":{"abstract_excerpt":"In this work, we consider the problem of learning a hierarchical generative model of an object from a set of images which show examples of the object in the presence of variable background clutter. Existing approaches to this problem are limited by making strong a-priori assumptions about the object's geometric structure and require segmented training data for learning. In this paper, we propose a novel framework for learning hierarchical compositional models (HCMs) which do not suffer from the mentioned limitations. We present a generalized formulation of HCMs and describe a greedy structure ","authors_text":"Adam Kortylewski, Aleksander Wieczorek, Andreas Morel-Forster, Clemens Blumer, Mario Wieser, Sonali Parbhoo, Thomas Vetter, Volker Roth","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-22T14:56:31Z","title":"Greedy Structure Learning of Hierarchical Compositional Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.06171","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":"sha256:3cc33651830539db35e7c6ab7dc8a333225eb5818e919dc09d2988adf6666eb5","target":"record","created_at":"2026-05-17T23:48:41Z","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":"94a1d08223f295ea56cbefad68340caba2a1cfdce5931afe80296c8a86f2006a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-22T14:56:31Z","title_canon_sha256":"9db616ce0117b8629336d189fa9626700a3a983f25c198bb608e97e0afc4f3d6"},"schema_version":"1.0","source":{"id":"1701.06171","kind":"arxiv","version":4}},"canonical_sha256":"b8352ee4514a2932ea777f2e71f2270f3145cdb567be969ff503bb46e98a3211","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b8352ee4514a2932ea777f2e71f2270f3145cdb567be969ff503bb46e98a3211","first_computed_at":"2026-05-17T23:48:41.032197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:41.032197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fJyr9BQVkG4RoslmyvTvicIPTsdcw3gV16Xwsgo2o3mmweU4DgUzBT3vLXd+OvfOFEq8lLcBn6ZvpiYYPKIGBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:41.032774Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.06171","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3cc33651830539db35e7c6ab7dc8a333225eb5818e919dc09d2988adf6666eb5","sha256:85528fd76f27c70802ec1b01905c4d4e1a40107e525bf2262fc5a461cb66b00e"],"state_sha256":"3e468b35893c58e0aa146d244b9cbd6044911d142c63a3e0b855fa059d5656dc"}