{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:FOVPRV2VJ3NHU3BJBS6EFBWIJM","short_pith_number":"pith:FOVPRV2V","canonical_record":{"source":{"id":"1408.5516","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-08-23T17:25:33Z","cross_cats_sorted":[],"title_canon_sha256":"d6a1f808db15e82a40e8a1e46308b56832f30b152aa2cbff3333b2214e4b9fae","abstract_canon_sha256":"55c20cc018a1e2e58dc3e8036b92e58b7fc94c53d0dea3155bea231ff635650d"},"schema_version":"1.0"},"canonical_sha256":"2baaf8d7554eda7a6c290cbc4286c84b19e146ecbc24d61446f21414993acbbb","source":{"kind":"arxiv","id":"1408.5516","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1408.5516","created_at":"2026-05-18T02:44:24Z"},{"alias_kind":"arxiv_version","alias_value":"1408.5516v1","created_at":"2026-05-18T02:44:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.5516","created_at":"2026-05-18T02:44:24Z"},{"alias_kind":"pith_short_12","alias_value":"FOVPRV2VJ3NH","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"FOVPRV2VJ3NHU3BJ","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"FOVPRV2V","created_at":"2026-05-18T12:28:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:FOVPRV2VJ3NHU3BJBS6EFBWIJM","target":"record","payload":{"canonical_record":{"source":{"id":"1408.5516","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-08-23T17:25:33Z","cross_cats_sorted":[],"title_canon_sha256":"d6a1f808db15e82a40e8a1e46308b56832f30b152aa2cbff3333b2214e4b9fae","abstract_canon_sha256":"55c20cc018a1e2e58dc3e8036b92e58b7fc94c53d0dea3155bea231ff635650d"},"schema_version":"1.0"},"canonical_sha256":"2baaf8d7554eda7a6c290cbc4286c84b19e146ecbc24d61446f21414993acbbb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:44:24.969633Z","signature_b64":"a3K1H02oPcuMoxmBP21oVKUGVeRJE7suzbPyzGzahYTRz5tKFMgLhwhyGa+++U/uP0S4tG7xz7kZaiRemyXaAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2baaf8d7554eda7a6c290cbc4286c84b19e146ecbc24d61446f21414993acbbb","last_reissued_at":"2026-05-18T02:44:24.969206Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:44:24.969206Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1408.5516","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":"2026-05-18T02:44:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RpXeZV0Q4BdbHtaqX4dHI2jD8YpGeGsHqQl37rYSEskM78KT/02WRpdpLw9T10siY25C5g34XNaJHR+Th33zBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T17:50:18.997140Z"},"content_sha256":"e99042774d3e517279023557b263b5fb3ea465eb5c900858d72fd3daf3a1988b","schema_version":"1.0","event_id":"sha256:e99042774d3e517279023557b263b5fb3ea465eb5c900858d72fd3daf3a1988b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:FOVPRV2VJ3NHU3BJBS6EFBWIJM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning a Hierarchical Compositional Shape Vocabulary for Multi-class Object Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ales Leonardis, Marko Boben, Sanja Fidler","submitted_at":"2014-08-23T17:25:33Z","abstract_excerpt":"Hierarchies allow feature sharing between objects at multiple levels of representation, can code exponential variability in a very compact way and enable fast inference. This makes them potentially suitable for learning and recognizing a higher number of object classes. However, the success of the hierarchical approaches so far has been hindered by the use of hand-crafted features or predetermined grouping rules. This paper presents a novel framework for learning a hierarchical compositional shape vocabulary for representing multiple object classes. The approach takes simple contour fragments "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.5516","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":""},"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":"2026-05-18T02:44:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/1oVb4kohHj5jC1DFd+qhxIDUT/U+hutySru9g/vVp+JsmyBnlFTkatx0ZVJoZZA9ZLbu/tOwYymexknyoZQAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T17:50:18.997491Z"},"content_sha256":"549f2762e6e467d2fff68f26e72d06e48645469c9856b0b729a5810170c5cc58","schema_version":"1.0","event_id":"sha256:549f2762e6e467d2fff68f26e72d06e48645469c9856b0b729a5810170c5cc58"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FOVPRV2VJ3NHU3BJBS6EFBWIJM/bundle.json","state_url":"https://pith.science/pith/FOVPRV2VJ3NHU3BJBS6EFBWIJM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FOVPRV2VJ3NHU3BJBS6EFBWIJM/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":"2026-06-03T17:50:18Z","links":{"resolver":"https://pith.science/pith/FOVPRV2VJ3NHU3BJBS6EFBWIJM","bundle":"https://pith.science/pith/FOVPRV2VJ3NHU3BJBS6EFBWIJM/bundle.json","state":"https://pith.science/pith/FOVPRV2VJ3NHU3BJBS6EFBWIJM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FOVPRV2VJ3NHU3BJBS6EFBWIJM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:FOVPRV2VJ3NHU3BJBS6EFBWIJM","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":"55c20cc018a1e2e58dc3e8036b92e58b7fc94c53d0dea3155bea231ff635650d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-08-23T17:25:33Z","title_canon_sha256":"d6a1f808db15e82a40e8a1e46308b56832f30b152aa2cbff3333b2214e4b9fae"},"schema_version":"1.0","source":{"id":"1408.5516","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1408.5516","created_at":"2026-05-18T02:44:24Z"},{"alias_kind":"arxiv_version","alias_value":"1408.5516v1","created_at":"2026-05-18T02:44:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.5516","created_at":"2026-05-18T02:44:24Z"},{"alias_kind":"pith_short_12","alias_value":"FOVPRV2VJ3NH","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"FOVPRV2VJ3NHU3BJ","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"FOVPRV2V","created_at":"2026-05-18T12:28:28Z"}],"graph_snapshots":[{"event_id":"sha256:549f2762e6e467d2fff68f26e72d06e48645469c9856b0b729a5810170c5cc58","target":"graph","created_at":"2026-05-18T02:44:24Z","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":"Hierarchies allow feature sharing between objects at multiple levels of representation, can code exponential variability in a very compact way and enable fast inference. This makes them potentially suitable for learning and recognizing a higher number of object classes. However, the success of the hierarchical approaches so far has been hindered by the use of hand-crafted features or predetermined grouping rules. This paper presents a novel framework for learning a hierarchical compositional shape vocabulary for representing multiple object classes. The approach takes simple contour fragments ","authors_text":"Ales Leonardis, Marko Boben, Sanja Fidler","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-08-23T17:25:33Z","title":"Learning a Hierarchical Compositional Shape Vocabulary for Multi-class Object Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.5516","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:e99042774d3e517279023557b263b5fb3ea465eb5c900858d72fd3daf3a1988b","target":"record","created_at":"2026-05-18T02:44:24Z","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":"55c20cc018a1e2e58dc3e8036b92e58b7fc94c53d0dea3155bea231ff635650d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-08-23T17:25:33Z","title_canon_sha256":"d6a1f808db15e82a40e8a1e46308b56832f30b152aa2cbff3333b2214e4b9fae"},"schema_version":"1.0","source":{"id":"1408.5516","kind":"arxiv","version":1}},"canonical_sha256":"2baaf8d7554eda7a6c290cbc4286c84b19e146ecbc24d61446f21414993acbbb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2baaf8d7554eda7a6c290cbc4286c84b19e146ecbc24d61446f21414993acbbb","first_computed_at":"2026-05-18T02:44:24.969206Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:44:24.969206Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a3K1H02oPcuMoxmBP21oVKUGVeRJE7suzbPyzGzahYTRz5tKFMgLhwhyGa+++U/uP0S4tG7xz7kZaiRemyXaAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:44:24.969633Z","signed_message":"canonical_sha256_bytes"},"source_id":"1408.5516","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e99042774d3e517279023557b263b5fb3ea465eb5c900858d72fd3daf3a1988b","sha256:549f2762e6e467d2fff68f26e72d06e48645469c9856b0b729a5810170c5cc58"],"state_sha256":"7562b3a2203985751215d1dd8251cecf9cd00bcb59bceddb709b569eef4b0ce0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SAbkLEgF/GREQo1yBKMrUO6wl7MzZ8Wf9cday195xPnbkrqhSX8mfEjm0BQiiMFDgdN21AZHblIfBG7Cf+IOAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T17:50:18.999393Z","bundle_sha256":"93e926b5e9cad591bdf3e6bd5c421aea0fc76847ed1b012fdf7332ddbe59bc3b"}}