{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ZALDPVBCSVMS3QFJBTXEHYHITA","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":"dcde1c388d072930d349cec6db4da11db8415c15a2f7f879b35a041f8e1c1cba","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-21T20:43:47Z","title_canon_sha256":"495d9eade61a4c77525f52ed890f90731097a4bb4f6124633a5d717874860449"},"schema_version":"1.0","source":{"id":"2010.12440","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.12440","created_at":"2026-07-05T01:45:37Z"},{"alias_kind":"arxiv_version","alias_value":"2010.12440v1","created_at":"2026-07-05T01:45:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.12440","created_at":"2026-07-05T01:45:37Z"},{"alias_kind":"pith_short_12","alias_value":"ZALDPVBCSVMS","created_at":"2026-07-05T01:45:37Z"},{"alias_kind":"pith_short_16","alias_value":"ZALDPVBCSVMS3QFJ","created_at":"2026-07-05T01:45:37Z"},{"alias_kind":"pith_short_8","alias_value":"ZALDPVBC","created_at":"2026-07-05T01:45:37Z"}],"graph_snapshots":[{"event_id":"sha256:860a29a84b30e9705bcbb449d7fee117fe019fa638976d9fac8bf6919d1afe15","target":"graph","created_at":"2026-07-05T01:45:37Z","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/2010.12440/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic segmentation (SS) is an important perception manner for self-driving cars and robotics, which classifies each pixel into a pre-determined class. The widely-used cross entropy (CE) loss-based deep networks has achieved significant progress w.r.t. the mean Intersection-over Union (mIoU). However, the cross entropy loss can not take the different importance of each class in an self-driving system into account. For example, pedestrians in the image should be much more important than the surrounding buildings when make a decisions in the driving, so their segmentation results are expected ","authors_text":"Jane You, Ju Lu, Site Li, Song Bai, Tianxing Wang, Xiaofeng Liu, Xu Han, Yi Ge, Yuzhuo Han","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-21T20:43:47Z","title":"Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.12440","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":"sha256:16a51ad95266748699905eac818642256199b4df819e3058f50577d8d6e6d17e","target":"record","created_at":"2026-07-05T01:45:37Z","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":"dcde1c388d072930d349cec6db4da11db8415c15a2f7f879b35a041f8e1c1cba","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-21T20:43:47Z","title_canon_sha256":"495d9eade61a4c77525f52ed890f90731097a4bb4f6124633a5d717874860449"},"schema_version":"1.0","source":{"id":"2010.12440","kind":"arxiv","version":1}},"canonical_sha256":"c81637d42295592dc0a90cee43e0e8982e6a33e30c208d702f9e4f6acb9695da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c81637d42295592dc0a90cee43e0e8982e6a33e30c208d702f9e4f6acb9695da","first_computed_at":"2026-07-05T01:45:37.336223Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:45:37.336223Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jJ7bGXhq05ZdAa4h3Pzwe/uUNv8jScyr8hEGwsnj/38+2LWgVO3O44yk/E7cgVvYs2LUf/pFAEVl/PcPwsF1BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:45:37.336644Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.12440","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16a51ad95266748699905eac818642256199b4df819e3058f50577d8d6e6d17e","sha256:860a29a84b30e9705bcbb449d7fee117fe019fa638976d9fac8bf6919d1afe15"],"state_sha256":"1e6ad3704003861f5804f22731b533e3a124f5eaf8bc378ca29493a9e49ed39c"}