{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QB2QMN7B7EAA4PGH23XT6BMLZF","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":"e2542ab03635e4322fa87af39661b9b6fef6ceaab56f62728f0cad966c769451","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-26T05:39:07Z","title_canon_sha256":"1697cfec240324817ba6e0cb90353b5275331be6cc41d14fa3b49ce026a365b0"},"schema_version":"1.0","source":{"id":"1705.09437","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.09437","created_at":"2026-05-18T00:09:31Z"},{"alias_kind":"arxiv_version","alias_value":"1705.09437v1","created_at":"2026-05-18T00:09:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.09437","created_at":"2026-05-18T00:09:31Z"},{"alias_kind":"pith_short_12","alias_value":"QB2QMN7B7EAA","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"QB2QMN7B7EAA4PGH","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"QB2QMN7B","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:d738e176cf06cff21f9fbd4d3b33b94f8bbb800dee0c1f3031124d125bc82365","target":"graph","created_at":"2026-05-18T00:09:31Z","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":"Identifying the underlying models in a set of data points contaminated by noise and outliers, leads to a highly complex multi-model fitting problem. This problem can be posed as a clustering problem by the projection of higher order affinities between data points into a graph, which can then be clustered using spectral clustering. Calculating all possible higher order affinities is computationally expensive. Hence in most cases only a subset is used. In this paper, we propose an effective sampling method to obtain a highly accurate approximation of the full graph required to solve multi-struct","authors_text":"Alireza Bab-Hadiashar, Alireza Sadri, Reza Hoseinnezhad, Ruwan Tennakoon","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-26T05:39:07Z","title":"Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.09437","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":"sha256:6031f073d22af046050489cf1cf327f699055aaa523966687781865a494d0f81","target":"record","created_at":"2026-05-18T00:09:31Z","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":"e2542ab03635e4322fa87af39661b9b6fef6ceaab56f62728f0cad966c769451","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-26T05:39:07Z","title_canon_sha256":"1697cfec240324817ba6e0cb90353b5275331be6cc41d14fa3b49ce026a365b0"},"schema_version":"1.0","source":{"id":"1705.09437","kind":"arxiv","version":1}},"canonical_sha256":"80750637e1f9000e3cc7d6ef3f058bc9508ca557a378784c6a5488773f348eb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80750637e1f9000e3cc7d6ef3f058bc9508ca557a378784c6a5488773f348eb4","first_computed_at":"2026-05-18T00:09:31.202136Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:31.202136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AUX3AVtfowBYLVRiSYlwxrPUUIwhoRGJi7XvWeLNhDIPnxFjiGZD8Kh0f6LMleW6WmqG5AWDcEPAdJ/f5WT2Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:31.202828Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.09437","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6031f073d22af046050489cf1cf327f699055aaa523966687781865a494d0f81","sha256:d738e176cf06cff21f9fbd4d3b33b94f8bbb800dee0c1f3031124d125bc82365"],"state_sha256":"2b2c8a7a4ac433f3404ee38e080c453378a59dac0edd131cfb6c0a9985e0b8ee"}