{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:Y4YFIIN3SG7JSV5VOHWDKNS5KN","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":"7403b0bbf18e26c7b99ff9597ecf97e34d44f51b6fba14d2242e7f539f57335b","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-16T18:55:05Z","title_canon_sha256":"988e5682a0bc44df779588a91a8151b98583805b6b69fa39df2ad2f443212f3c"},"schema_version":"1.0","source":{"id":"2203.08881","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.08881","created_at":"2026-07-05T06:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"2203.08881v2","created_at":"2026-07-05T06:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.08881","created_at":"2026-07-05T06:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"Y4YFIIN3SG7J","created_at":"2026-07-05T06:14:03Z"},{"alias_kind":"pith_short_16","alias_value":"Y4YFIIN3SG7JSV5V","created_at":"2026-07-05T06:14:03Z"},{"alias_kind":"pith_short_8","alias_value":"Y4YFIIN3","created_at":"2026-07-05T06:14:03Z"}],"graph_snapshots":[{"event_id":"sha256:c7f18fdace2cc09d730ce1163067354df3cbd925933cdc7b8a2afbc6b2e6093a","target":"graph","created_at":"2026-07-05T06:14:03Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2203.08881/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic segmentation (SS) aims to classify each pixel into one of the pre-defined classes. This task plays an important role in self-driving cars and autonomous drones. In SS, many works have shown that most misclassified pixels are commonly near object boundaries with high uncertainties. However, existing SS loss functions are not tailored to handle these uncertain pixels during training, as these pixels are usually treated equally as confidently classified pixels and cannot be embedded with arbitrary low distortion in Euclidean space, thereby degenerating the performance of SS. To overcome ","authors_text":"Bike Chen, Juha R\\\"oning, Wei Peng, Xiaofeng Cao","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-16T18:55:05Z","title":"Hyperbolic Uncertainty Aware Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.08881","kind":"arxiv","version":2},"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:e6dc9dcf83b164a84ee73adaa41085f6ec92271771e126a6a6765aeba5cb640b","target":"record","created_at":"2026-07-05T06:14:03Z","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":"7403b0bbf18e26c7b99ff9597ecf97e34d44f51b6fba14d2242e7f539f57335b","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-16T18:55:05Z","title_canon_sha256":"988e5682a0bc44df779588a91a8151b98583805b6b69fa39df2ad2f443212f3c"},"schema_version":"1.0","source":{"id":"2203.08881","kind":"arxiv","version":2}},"canonical_sha256":"c7305421bb91be9957b571ec35365d53606af84fc1d6946a814a8245bf36cdd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7305421bb91be9957b571ec35365d53606af84fc1d6946a814a8245bf36cdd3","first_computed_at":"2026-07-05T06:14:03.708764Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:14:03.708764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t4yhMHvVdyS38AMbs1r/kvMpgApxvnT+PyBgAVF2FgmtZv9lFpN0kbr50CoUcrn1ZEHqua+UjZ2mpaKh9ckIBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:14:03.709146Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.08881","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6dc9dcf83b164a84ee73adaa41085f6ec92271771e126a6a6765aeba5cb640b","sha256:c7f18fdace2cc09d730ce1163067354df3cbd925933cdc7b8a2afbc6b2e6093a"],"state_sha256":"92662d1a16877e0294eec85aeeb31befc33ff0c5c4f1973ea1be6112909f1f59"}