{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:PSAMOMLBHC5CJHEN56B77CC7EH","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":"8027a7697127786be80f94f94cfd72bc368a49a73e37d967b9f5f6458f9dd53b","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-09T08:14:09Z","title_canon_sha256":"af326c306cf736a8a389b1895ed0e0f8e07c00055488a18f776a726b57a7ebc0"},"schema_version":"1.0","source":{"id":"1904.04516","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04516","created_at":"2026-05-17T23:48:58Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04516v1","created_at":"2026-05-17T23:48:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04516","created_at":"2026-05-17T23:48:58Z"},{"alias_kind":"pith_short_12","alias_value":"PSAMOMLBHC5C","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"PSAMOMLBHC5CJHEN","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"PSAMOMLB","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:46f9793aed30ecf98785142276108010a2b1abf0edb5edc377c273833fc87013","target":"graph","created_at":"2026-05-17T23:48:58Z","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":"In the semantic segmentation of street scenes the reliability of the prediction and therefore uncertainty measures are of highest interest. We present a method that generates for each input image a hierarchy of nested crops around the image center and presents these, all re-scaled to the same size, to a neural network for semantic segmentation. The resulting softmax outputs are then post processed such that we can investigate mean and variance over all image crops as well as mean and variance of uncertainty heat maps obtained from pixel-wise uncertainty measures, like the entropy, applied to e","authors_text":"Marius Schubert, Matthias Rottmann","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-09T08:14:09Z","title":"Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04516","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":"sha256:2343d8938aa5a04fafb07e815cb4fffbce3f6ee613e34d9fb8db2bc1b4106f35","target":"record","created_at":"2026-05-17T23:48:58Z","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":"8027a7697127786be80f94f94cfd72bc368a49a73e37d967b9f5f6458f9dd53b","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-09T08:14:09Z","title_canon_sha256":"af326c306cf736a8a389b1895ed0e0f8e07c00055488a18f776a726b57a7ebc0"},"schema_version":"1.0","source":{"id":"1904.04516","kind":"arxiv","version":1}},"canonical_sha256":"7c80c7316138ba249c8def83ff885f21c5e1f0bcc8fa82acb1139cf3fdcb74ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c80c7316138ba249c8def83ff885f21c5e1f0bcc8fa82acb1139cf3fdcb74ab","first_computed_at":"2026-05-17T23:48:58.874333Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:58.874333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f3ew2YLyUXnZlIUvJ44Wopjmfka2BmZ6Qg2ZrYiWwSorkPX8UxkRcotoRgTN+yg+wAnIf4FMLZr3ZNpqOFljBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:58.874760Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.04516","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2343d8938aa5a04fafb07e815cb4fffbce3f6ee613e34d9fb8db2bc1b4106f35","sha256:46f9793aed30ecf98785142276108010a2b1abf0edb5edc377c273833fc87013"],"state_sha256":"3e8f91516d3a677796360e7507dd3593c611c94148e9e8d353c9a5afd1e29661"}