{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:4SAVOLXY6GLEOOPYWRRLEOMI3H","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":"032017f9091479ab1370dc97b117372306da09a0c4b47435f48bc06085cf7041","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-17T14:39:53Z","title_canon_sha256":"47fc830ce9ef9a4e410f6e1152ac3a41ef0c707aa11fe2e29cbb870da7f674e7"},"schema_version":"1.0","source":{"id":"1611.05705","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.05705","created_at":"2026-05-18T00:20:32Z"},{"alias_kind":"arxiv_version","alias_value":"1611.05705v4","created_at":"2026-05-18T00:20:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.05705","created_at":"2026-05-18T00:20:32Z"},{"alias_kind":"pith_short_12","alias_value":"4SAVOLXY6GLE","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"4SAVOLXY6GLEOOPY","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"4SAVOLXY","created_at":"2026-05-18T12:29:58Z"}],"graph_snapshots":[{"event_id":"sha256:36e41970f4e79770266bec5335a8169acf55ebdc5d6ad9355b86281faa10fcd7","target":"graph","created_at":"2026-05-18T00:20:32Z","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":"RANSAC is an important algorithm in robust optimization and a central building block for many computer vision applications. In recent years, traditionally hand-crafted pipelines have been replaced by deep learning pipelines, which can be trained in an end-to-end fashion. However, RANSAC has so far not been used as part of such deep learning pipelines, because its hypothesis selection procedure is non-differentiable. In this work, we present two different ways to overcome this limitation. The most promising approach is inspired by reinforcement learning, namely to replace the deterministic hypo","authors_text":"Alexander Krull, Carsten Rother, Eric Brachmann, Frank Michel, Jamie Shotton, Sebastian Nowozin, Stefan Gumhold","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-17T14:39:53Z","title":"DSAC - Differentiable RANSAC for Camera Localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.05705","kind":"arxiv","version":4},"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:ee4841d50f8192f920fe752a20b292cbc7419a148a42192965a0abaec192de24","target":"record","created_at":"2026-05-18T00:20:32Z","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":"032017f9091479ab1370dc97b117372306da09a0c4b47435f48bc06085cf7041","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-17T14:39:53Z","title_canon_sha256":"47fc830ce9ef9a4e410f6e1152ac3a41ef0c707aa11fe2e29cbb870da7f674e7"},"schema_version":"1.0","source":{"id":"1611.05705","kind":"arxiv","version":4}},"canonical_sha256":"e481572ef8f1964739f8b462b23988d9f3a0322afc07e02d30f86fd2cc6d78dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e481572ef8f1964739f8b462b23988d9f3a0322afc07e02d30f86fd2cc6d78dd","first_computed_at":"2026-05-18T00:20:32.460370Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:32.460370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F2EUfvg5iwOk6fNNJzfFSDTmHNYmak211SI5w5sV9d2pNWfv9eLJ8Y3ygplUCiCJXGqPf1mfUf657dKNK+otDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:32.460950Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.05705","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee4841d50f8192f920fe752a20b292cbc7419a148a42192965a0abaec192de24","sha256:36e41970f4e79770266bec5335a8169acf55ebdc5d6ad9355b86281faa10fcd7"],"state_sha256":"f74ab9418c0d9a7184dd563d6694ce3e6f93330f0f9408be6c5881fbe154b070"}