{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2010:WRMGVWQQGMKL5IGFDX36TGCQDB","short_pith_number":"pith:WRMGVWQQ","schema_version":"1.0","canonical_sha256":"b4586ada103314bea0c51df7e99850187bf443ee88ec37a7924b172fda3e41e3","source":{"kind":"arxiv","id":"1009.4823","version":1},"attestation_state":"computed","paper":{"title":"Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adrian Ion, Cristian Sminchisescu, Joao Carreira","submitted_at":"2010-09-24T12:32:02Z","abstract_excerpt":"We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that tile the entire image. The problem is cast as optimization over sets of maximal cliques sampled from the graph connecting non-overlapping, putative figure-ground segment hypotheses. Potential functions over cliques combine unary Gestalt-based figure quality scores and pairwise compatibilities among spatially neighboring segments, constrained by T-junctions and the boundary interface statistics resulting from projection"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1009.4823","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2010-09-24T12:32:02Z","cross_cats_sorted":[],"title_canon_sha256":"a653f1addabedee062d54bce9308109ed5937336eb39c560d693fd454947f55c","abstract_canon_sha256":"1623d86bb8330f7b0216b92fc8bb5d208cf1ba117607accc8197c80b024a6316"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:40:21.111397Z","signature_b64":"lxsgiXgUArXCU6Vfz2NX04xi7GdwOaWWx8i4v/8rEBvgohVJXVuBl9Acw7dTGp4vadOz63kk8321l4xIZalsCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b4586ada103314bea0c51df7e99850187bf443ee88ec37a7924b172fda3e41e3","last_reissued_at":"2026-05-18T04:40:21.110845Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:40:21.110845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adrian Ion, Cristian Sminchisescu, Joao Carreira","submitted_at":"2010-09-24T12:32:02Z","abstract_excerpt":"We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that tile the entire image. The problem is cast as optimization over sets of maximal cliques sampled from the graph connecting non-overlapping, putative figure-ground segment hypotheses. Potential functions over cliques combine unary Gestalt-based figure quality scores and pairwise compatibilities among spatially neighboring segments, constrained by T-junctions and the boundary interface statistics resulting from projection"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1009.4823","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1009.4823","created_at":"2026-05-18T04:40:21.110935+00:00"},{"alias_kind":"arxiv_version","alias_value":"1009.4823v1","created_at":"2026-05-18T04:40:21.110935+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1009.4823","created_at":"2026-05-18T04:40:21.110935+00:00"},{"alias_kind":"pith_short_12","alias_value":"WRMGVWQQGMKL","created_at":"2026-05-18T12:26:17.028572+00:00"},{"alias_kind":"pith_short_16","alias_value":"WRMGVWQQGMKL5IGF","created_at":"2026-05-18T12:26:17.028572+00:00"},{"alias_kind":"pith_short_8","alias_value":"WRMGVWQQ","created_at":"2026-05-18T12:26:17.028572+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WRMGVWQQGMKL5IGFDX36TGCQDB","json":"https://pith.science/pith/WRMGVWQQGMKL5IGFDX36TGCQDB.json","graph_json":"https://pith.science/api/pith-number/WRMGVWQQGMKL5IGFDX36TGCQDB/graph.json","events_json":"https://pith.science/api/pith-number/WRMGVWQQGMKL5IGFDX36TGCQDB/events.json","paper":"https://pith.science/paper/WRMGVWQQ"},"agent_actions":{"view_html":"https://pith.science/pith/WRMGVWQQGMKL5IGFDX36TGCQDB","download_json":"https://pith.science/pith/WRMGVWQQGMKL5IGFDX36TGCQDB.json","view_paper":"https://pith.science/paper/WRMGVWQQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1009.4823&json=true","fetch_graph":"https://pith.science/api/pith-number/WRMGVWQQGMKL5IGFDX36TGCQDB/graph.json","fetch_events":"https://pith.science/api/pith-number/WRMGVWQQGMKL5IGFDX36TGCQDB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WRMGVWQQGMKL5IGFDX36TGCQDB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WRMGVWQQGMKL5IGFDX36TGCQDB/action/storage_attestation","attest_author":"https://pith.science/pith/WRMGVWQQGMKL5IGFDX36TGCQDB/action/author_attestation","sign_citation":"https://pith.science/pith/WRMGVWQQGMKL5IGFDX36TGCQDB/action/citation_signature","submit_replication":"https://pith.science/pith/WRMGVWQQGMKL5IGFDX36TGCQDB/action/replication_record"}},"created_at":"2026-05-18T04:40:21.110935+00:00","updated_at":"2026-05-18T04:40:21.110935+00:00"}