{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:EDKMAXLABUCJBRYX2QX4BDDXCN","short_pith_number":"pith:EDKMAXLA","canonical_record":{"source":{"id":"1306.3297","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-06-14T05:52:58Z","cross_cats_sorted":[],"title_canon_sha256":"dd1c42206420c65d704fc22c6705863e97471c6c2c4509133a0d1a3b33394894","abstract_canon_sha256":"9292d304219fdcb2461dab8bc73a52e7b95e8842426b88024d57b5d236e37405"},"schema_version":"1.0"},"canonical_sha256":"20d4c05d600d0490c717d42fc08c7713434bae04649eb88f45374e6bc54d5a57","source":{"kind":"arxiv","id":"1306.3297","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1306.3297","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"arxiv_version","alias_value":"1306.3297v1","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1306.3297","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"pith_short_12","alias_value":"EDKMAXLABUCJ","created_at":"2026-05-18T12:27:43Z"},{"alias_kind":"pith_short_16","alias_value":"EDKMAXLABUCJBRYX","created_at":"2026-05-18T12:27:43Z"},{"alias_kind":"pith_short_8","alias_value":"EDKMAXLA","created_at":"2026-05-18T12:27:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:EDKMAXLABUCJBRYX2QX4BDDXCN","target":"record","payload":{"canonical_record":{"source":{"id":"1306.3297","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-06-14T05:52:58Z","cross_cats_sorted":[],"title_canon_sha256":"dd1c42206420c65d704fc22c6705863e97471c6c2c4509133a0d1a3b33394894","abstract_canon_sha256":"9292d304219fdcb2461dab8bc73a52e7b95e8842426b88024d57b5d236e37405"},"schema_version":"1.0"},"canonical_sha256":"20d4c05d600d0490c717d42fc08c7713434bae04649eb88f45374e6bc54d5a57","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:20:57.902359Z","signature_b64":"lOERAiWOheQIrs3iO7LRkOnogga1rZHOenDPl7/RmXnCC45OufE/lhLJZgtdk5ZsMr+ZfoBVYPnxncfslhtpCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20d4c05d600d0490c717d42fc08c7713434bae04649eb88f45374e6bc54d5a57","last_reissued_at":"2026-05-18T03:20:57.901746Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:20:57.901746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1306.3297","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":"2026-05-18T03:20:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jjHcLIzGJmzOCObw0ZkxjKsdOxM/3EB58gfBH4vmOgoS2biSA4xt6T6sMgBhrWzRtOoW1oplFEdnR8RrHNxUCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:05:08.294967Z"},"content_sha256":"2debbf8bdaae0b62381080e19e931226c29e8e3f45dbf90dc7f3162d1873ef2c","schema_version":"1.0","event_id":"sha256:2debbf8bdaae0b62381080e19e931226c29e8e3f45dbf90dc7f3162d1873ef2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:EDKMAXLABUCJBRYX2QX4BDDXCN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Matching objects across the textured-smooth continuum","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ognjen Arandjelovic","submitted_at":"2013-06-14T05:52:58Z","abstract_excerpt":"The problem of 3D object recognition is of immense practical importance, with the last decade witnessing a number of breakthroughs in the state of the art. Most of the previous work has focused on the matching of textured objects using local appearance descriptors extracted around salient image points. The recently proposed bag of boundaries method was the first to address directly the problem of matching smooth objects using boundary features. However, no previous work has attempted to achieve a holistic treatment of the problem by jointly using textural and shape features which is what we de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1306.3297","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":"2026-05-18T03:20:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8HOL/OYnKaeXCCH16iLCUnsDpbUXib0cDZWqPlO8mjsLyzOvy0drOXwRFLAyy+j6LkFNYJ0ujImQ+lDPIOdUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:05:08.295470Z"},"content_sha256":"4bd065b47e5dd31bafd6cdcf29a7a8ddecc6de6d06dcd045e03467c41f2654bb","schema_version":"1.0","event_id":"sha256:4bd065b47e5dd31bafd6cdcf29a7a8ddecc6de6d06dcd045e03467c41f2654bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EDKMAXLABUCJBRYX2QX4BDDXCN/bundle.json","state_url":"https://pith.science/pith/EDKMAXLABUCJBRYX2QX4BDDXCN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EDKMAXLABUCJBRYX2QX4BDDXCN/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":"2026-05-26T11:05:08Z","links":{"resolver":"https://pith.science/pith/EDKMAXLABUCJBRYX2QX4BDDXCN","bundle":"https://pith.science/pith/EDKMAXLABUCJBRYX2QX4BDDXCN/bundle.json","state":"https://pith.science/pith/EDKMAXLABUCJBRYX2QX4BDDXCN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EDKMAXLABUCJBRYX2QX4BDDXCN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:EDKMAXLABUCJBRYX2QX4BDDXCN","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":"9292d304219fdcb2461dab8bc73a52e7b95e8842426b88024d57b5d236e37405","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-06-14T05:52:58Z","title_canon_sha256":"dd1c42206420c65d704fc22c6705863e97471c6c2c4509133a0d1a3b33394894"},"schema_version":"1.0","source":{"id":"1306.3297","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1306.3297","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"arxiv_version","alias_value":"1306.3297v1","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1306.3297","created_at":"2026-05-18T03:20:57Z"},{"alias_kind":"pith_short_12","alias_value":"EDKMAXLABUCJ","created_at":"2026-05-18T12:27:43Z"},{"alias_kind":"pith_short_16","alias_value":"EDKMAXLABUCJBRYX","created_at":"2026-05-18T12:27:43Z"},{"alias_kind":"pith_short_8","alias_value":"EDKMAXLA","created_at":"2026-05-18T12:27:43Z"}],"graph_snapshots":[{"event_id":"sha256:4bd065b47e5dd31bafd6cdcf29a7a8ddecc6de6d06dcd045e03467c41f2654bb","target":"graph","created_at":"2026-05-18T03:20:57Z","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":"The problem of 3D object recognition is of immense practical importance, with the last decade witnessing a number of breakthroughs in the state of the art. Most of the previous work has focused on the matching of textured objects using local appearance descriptors extracted around salient image points. The recently proposed bag of boundaries method was the first to address directly the problem of matching smooth objects using boundary features. However, no previous work has attempted to achieve a holistic treatment of the problem by jointly using textural and shape features which is what we de","authors_text":"Ognjen Arandjelovic","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-06-14T05:52:58Z","title":"Matching objects across the textured-smooth continuum"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1306.3297","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":"sha256:2debbf8bdaae0b62381080e19e931226c29e8e3f45dbf90dc7f3162d1873ef2c","target":"record","created_at":"2026-05-18T03:20:57Z","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":"9292d304219fdcb2461dab8bc73a52e7b95e8842426b88024d57b5d236e37405","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-06-14T05:52:58Z","title_canon_sha256":"dd1c42206420c65d704fc22c6705863e97471c6c2c4509133a0d1a3b33394894"},"schema_version":"1.0","source":{"id":"1306.3297","kind":"arxiv","version":1}},"canonical_sha256":"20d4c05d600d0490c717d42fc08c7713434bae04649eb88f45374e6bc54d5a57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20d4c05d600d0490c717d42fc08c7713434bae04649eb88f45374e6bc54d5a57","first_computed_at":"2026-05-18T03:20:57.901746Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:20:57.901746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lOERAiWOheQIrs3iO7LRkOnogga1rZHOenDPl7/RmXnCC45OufE/lhLJZgtdk5ZsMr+ZfoBVYPnxncfslhtpCw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:20:57.902359Z","signed_message":"canonical_sha256_bytes"},"source_id":"1306.3297","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2debbf8bdaae0b62381080e19e931226c29e8e3f45dbf90dc7f3162d1873ef2c","sha256:4bd065b47e5dd31bafd6cdcf29a7a8ddecc6de6d06dcd045e03467c41f2654bb"],"state_sha256":"d7dbe9340ddf676ae5d0d9845cd80431f1d7f800707487ac17cc746838c19442"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"opE36GQ6Qnhz5fx334/HWc56Y5R4pcRJssSZ6cSLJnpWq9stFCn2Kuc271LHh4z/XmVcUCTa0yEqqhW2H3+ACw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T11:05:08.298630Z","bundle_sha256":"83866ecc654644b27b37b4d0c9ab20d4f6d01cec80bc270551312023744687c5"}}