{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:QKSH5NFJQQZS4PMD2MMRJDRQRN","short_pith_number":"pith:QKSH5NFJ","canonical_record":{"source":{"id":"1704.06392","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-21T04:15:15Z","cross_cats_sorted":[],"title_canon_sha256":"8a6ed709217d0eda99f1a12059ba99feffb91aee1cb7ce1074f43d653ce58c56","abstract_canon_sha256":"8ae8640757fdf113da770c5182f1703bdc595c908d1b4930911451331abbc408"},"schema_version":"1.0"},"canonical_sha256":"82a47eb4a984332e3d83d319148e308b5b1e16981475e5a9be20d42e47f94dc5","source":{"kind":"arxiv","id":"1704.06392","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.06392","created_at":"2026-05-18T00:45:59Z"},{"alias_kind":"arxiv_version","alias_value":"1704.06392v1","created_at":"2026-05-18T00:45:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.06392","created_at":"2026-05-18T00:45:59Z"},{"alias_kind":"pith_short_12","alias_value":"QKSH5NFJQQZS","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QKSH5NFJQQZS4PMD","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QKSH5NFJ","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:QKSH5NFJQQZS4PMD2MMRJDRQRN","target":"record","payload":{"canonical_record":{"source":{"id":"1704.06392","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-21T04:15:15Z","cross_cats_sorted":[],"title_canon_sha256":"8a6ed709217d0eda99f1a12059ba99feffb91aee1cb7ce1074f43d653ce58c56","abstract_canon_sha256":"8ae8640757fdf113da770c5182f1703bdc595c908d1b4930911451331abbc408"},"schema_version":"1.0"},"canonical_sha256":"82a47eb4a984332e3d83d319148e308b5b1e16981475e5a9be20d42e47f94dc5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:59.760577Z","signature_b64":"diPrMs+twy3xGoKiQteh+7dkJAFpZDB34epMnu0R5epMXo+WMoU4ni+0H0po9ppNuSpfuI4QkN9c77cePNt6DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82a47eb4a984332e3d83d319148e308b5b1e16981475e5a9be20d42e47f94dc5","last_reissued_at":"2026-05-18T00:45:59.760020Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:59.760020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.06392","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":"2026-05-18T00:45:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ReOOuGbwSeT2AfFpSzYdyXrNrMRNJ6t/Dsepjol907olaKtJxCDet5SToJon6VvKXG8ZZ96/ubQa6Xm2sNEUCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T09:38:41.549571Z"},"content_sha256":"60538d6c5f9efc8a3c63024cc19a35678c6b487556d610df70cf6564465a42a4","schema_version":"1.0","event_id":"sha256:60538d6c5f9efc8a3c63024cc19a35678c6b487556d610df70cf6564465a42a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:QKSH5NFJQQZS4PMD2MMRJDRQRN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multiple Reflection Symmetry Detection via Linear-Directional Kernel Density Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cecile Barat, Christophe Ducottet, Mohamed Elawady, Olivier Alata, Philippe Colantoni","submitted_at":"2017-04-21T04:15:15Z","abstract_excerpt":"Symmetry is an important composition feature by investigating similar sides inside an image plane. It has a crucial effect to recognize man-made or nature objects within the universe. Recent symmetry detection approaches used a smoothing kernel over different voting maps in the polar coordinate system to detect symmetry peaks, which split the regions of symmetry axis candidates in inefficient way. We propose a reliable voting representation based on weighted linear-directional kernel density estimation, to detect multiple symmetries over challenging real-world and synthetic images. Experimenta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.06392","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":"2026-05-18T00:45:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Oms4+GmC/E6zYXuMN3tVilyyLRs2fUFXZk/nQrZ2r1GnC1yKctiopjo+Rr3INvCrzooJm8GGTolCdqI5VlcAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T09:38:41.549910Z"},"content_sha256":"7549d5edabdb4750bd18f6d3fbcf6d21ee27850d7c2ef768064826298dbc2586","schema_version":"1.0","event_id":"sha256:7549d5edabdb4750bd18f6d3fbcf6d21ee27850d7c2ef768064826298dbc2586"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QKSH5NFJQQZS4PMD2MMRJDRQRN/bundle.json","state_url":"https://pith.science/pith/QKSH5NFJQQZS4PMD2MMRJDRQRN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QKSH5NFJQQZS4PMD2MMRJDRQRN/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":"2026-06-28T09:38:41Z","links":{"resolver":"https://pith.science/pith/QKSH5NFJQQZS4PMD2MMRJDRQRN","bundle":"https://pith.science/pith/QKSH5NFJQQZS4PMD2MMRJDRQRN/bundle.json","state":"https://pith.science/pith/QKSH5NFJQQZS4PMD2MMRJDRQRN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QKSH5NFJQQZS4PMD2MMRJDRQRN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QKSH5NFJQQZS4PMD2MMRJDRQRN","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":"8ae8640757fdf113da770c5182f1703bdc595c908d1b4930911451331abbc408","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-21T04:15:15Z","title_canon_sha256":"8a6ed709217d0eda99f1a12059ba99feffb91aee1cb7ce1074f43d653ce58c56"},"schema_version":"1.0","source":{"id":"1704.06392","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.06392","created_at":"2026-05-18T00:45:59Z"},{"alias_kind":"arxiv_version","alias_value":"1704.06392v1","created_at":"2026-05-18T00:45:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.06392","created_at":"2026-05-18T00:45:59Z"},{"alias_kind":"pith_short_12","alias_value":"QKSH5NFJQQZS","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QKSH5NFJQQZS4PMD","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QKSH5NFJ","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:7549d5edabdb4750bd18f6d3fbcf6d21ee27850d7c2ef768064826298dbc2586","target":"graph","created_at":"2026-05-18T00:45:59Z","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":"Symmetry is an important composition feature by investigating similar sides inside an image plane. It has a crucial effect to recognize man-made or nature objects within the universe. Recent symmetry detection approaches used a smoothing kernel over different voting maps in the polar coordinate system to detect symmetry peaks, which split the regions of symmetry axis candidates in inefficient way. We propose a reliable voting representation based on weighted linear-directional kernel density estimation, to detect multiple symmetries over challenging real-world and synthetic images. Experimenta","authors_text":"Cecile Barat, Christophe Ducottet, Mohamed Elawady, Olivier Alata, Philippe Colantoni","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-21T04:15:15Z","title":"Multiple Reflection Symmetry Detection via Linear-Directional Kernel Density Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.06392","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":"sha256:60538d6c5f9efc8a3c63024cc19a35678c6b487556d610df70cf6564465a42a4","target":"record","created_at":"2026-05-18T00:45:59Z","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":"8ae8640757fdf113da770c5182f1703bdc595c908d1b4930911451331abbc408","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-21T04:15:15Z","title_canon_sha256":"8a6ed709217d0eda99f1a12059ba99feffb91aee1cb7ce1074f43d653ce58c56"},"schema_version":"1.0","source":{"id":"1704.06392","kind":"arxiv","version":1}},"canonical_sha256":"82a47eb4a984332e3d83d319148e308b5b1e16981475e5a9be20d42e47f94dc5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82a47eb4a984332e3d83d319148e308b5b1e16981475e5a9be20d42e47f94dc5","first_computed_at":"2026-05-18T00:45:59.760020Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:59.760020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"diPrMs+twy3xGoKiQteh+7dkJAFpZDB34epMnu0R5epMXo+WMoU4ni+0H0po9ppNuSpfuI4QkN9c77cePNt6DA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:59.760577Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.06392","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:60538d6c5f9efc8a3c63024cc19a35678c6b487556d610df70cf6564465a42a4","sha256:7549d5edabdb4750bd18f6d3fbcf6d21ee27850d7c2ef768064826298dbc2586"],"state_sha256":"62b0140d190b7a188cde29d32939f678c6a453d42681e6bae6b68701c9f6bf4b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eGLsQ9GJ23IcT8pbNe7COLg5UoMFLY9CC1SZ0FBdjZSK4zUvOkPovnvi6nML0fQ00+T+Vzc0fcvtpC+vBWh9BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T09:38:41.551768Z","bundle_sha256":"dc88574050596233b7603e85e31a841108633320e7347af2dad8d97386f72c34"}}