{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:ZAATAXXCEVIWQQO5UWLBCVUW4Y","short_pith_number":"pith:ZAATAXXC","canonical_record":{"source":{"id":"2106.11118","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-21T13:55:57Z","cross_cats_sorted":[],"title_canon_sha256":"2192e8b27060703296d555c2b1ec6cb60b35052daab1302e9c94d67112cde753","abstract_canon_sha256":"e0cfa655a5d53f67ea796145e3cd49d493ef06ff76b433f8fd8228c0fd7baa76"},"schema_version":"1.0"},"canonical_sha256":"c801305ee225516841dda596115696e62cdf3c77f665a97b0d45949c0a0b1800","source":{"kind":"arxiv","id":"2106.11118","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.11118","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"arxiv_version","alias_value":"2106.11118v3","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.11118","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"pith_short_12","alias_value":"ZAATAXXCEVIW","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"pith_short_16","alias_value":"ZAATAXXCEVIWQQO5","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"pith_short_8","alias_value":"ZAATAXXC","created_at":"2026-07-05T03:29:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:ZAATAXXCEVIWQQO5UWLBCVUW4Y","target":"record","payload":{"canonical_record":{"source":{"id":"2106.11118","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-21T13:55:57Z","cross_cats_sorted":[],"title_canon_sha256":"2192e8b27060703296d555c2b1ec6cb60b35052daab1302e9c94d67112cde753","abstract_canon_sha256":"e0cfa655a5d53f67ea796145e3cd49d493ef06ff76b433f8fd8228c0fd7baa76"},"schema_version":"1.0"},"canonical_sha256":"c801305ee225516841dda596115696e62cdf3c77f665a97b0d45949c0a0b1800","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:29:50.280492Z","signature_b64":"FflB+D2LkOMyvJ1r1aW7FPOGOUGjJaeeVwpsQ++mvUi3RUWC/I3GwOSu/87T5eBibPVAe32UNX4RXz4/NlzFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c801305ee225516841dda596115696e62cdf3c77f665a97b0d45949c0a0b1800","last_reissued_at":"2026-07-05T03:29:50.280072Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:29:50.280072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.11118","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:29:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VEXPe54hHNlSq4FPpPNSQB7z9m5nrsHmU16LDr75CLj9bgM2kNq4TfU1Z6DteYE0yh+2hbNOBr+2n5SqEaJIDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:44:40.065456Z"},"content_sha256":"d82197dbd1cf84d0b47409c90e85a678176cfe61ea233cd7d0a490a79ce14b4f","schema_version":"1.0","event_id":"sha256:d82197dbd1cf84d0b47409c90e85a678176cfe61ea233cd7d0a490a79ce14b4f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:ZAATAXXCEVIWQQO5UWLBCVUW4Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaoqiang Ye, Chunjing Xu, Hang Xu, Jiageng Mao, Jianhua Han, Kai Chen, Lanqing Hong, Wei Zhang, Xiaodan Liang, Xiwen Liang, Zhenguo Li","submitted_at":"2021-06-21T13:55:57Z","abstract_excerpt":"Aiming at facilitating a real-world, ever-evolving and scalable autonomous driving system, we present a large-scale dataset for standardizing the evaluation of different self-supervised and semi-supervised approaches by learning from raw data, which is the first and largest dataset to date. Existing autonomous driving systems heavily rely on `perfect' visual perception models (i.e., detection) trained using extensive annotated data to ensure safety. However, it is unrealistic to elaborately label instances of all scenarios and circumstances (i.e., night, extreme weather, cities) when deploying"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.11118","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2106.11118/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:29:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AkBKX2WqrP/EbWahj0hWueQ5kjelZWuH7wZTeHQA5xNwWYiN4/ZeIEDwH6cgPo3KCIU1IbfW5NpvoIHxPxexCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:44:40.066529Z"},"content_sha256":"c6f929f89f01ce63cb1e1903fd7e9a76f9149c13bd81894c56c00a5993c7b3bf","schema_version":"1.0","event_id":"sha256:c6f929f89f01ce63cb1e1903fd7e9a76f9149c13bd81894c56c00a5993c7b3bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZAATAXXCEVIWQQO5UWLBCVUW4Y/bundle.json","state_url":"https://pith.science/pith/ZAATAXXCEVIWQQO5UWLBCVUW4Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZAATAXXCEVIWQQO5UWLBCVUW4Y/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T20:44:40Z","links":{"resolver":"https://pith.science/pith/ZAATAXXCEVIWQQO5UWLBCVUW4Y","bundle":"https://pith.science/pith/ZAATAXXCEVIWQQO5UWLBCVUW4Y/bundle.json","state":"https://pith.science/pith/ZAATAXXCEVIWQQO5UWLBCVUW4Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZAATAXXCEVIWQQO5UWLBCVUW4Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ZAATAXXCEVIWQQO5UWLBCVUW4Y","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":"e0cfa655a5d53f67ea796145e3cd49d493ef06ff76b433f8fd8228c0fd7baa76","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-21T13:55:57Z","title_canon_sha256":"2192e8b27060703296d555c2b1ec6cb60b35052daab1302e9c94d67112cde753"},"schema_version":"1.0","source":{"id":"2106.11118","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.11118","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"arxiv_version","alias_value":"2106.11118v3","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.11118","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"pith_short_12","alias_value":"ZAATAXXCEVIW","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"pith_short_16","alias_value":"ZAATAXXCEVIWQQO5","created_at":"2026-07-05T03:29:50Z"},{"alias_kind":"pith_short_8","alias_value":"ZAATAXXC","created_at":"2026-07-05T03:29:50Z"}],"graph_snapshots":[{"event_id":"sha256:c6f929f89f01ce63cb1e1903fd7e9a76f9149c13bd81894c56c00a5993c7b3bf","target":"graph","created_at":"2026-07-05T03:29:50Z","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/2106.11118/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aiming at facilitating a real-world, ever-evolving and scalable autonomous driving system, we present a large-scale dataset for standardizing the evaluation of different self-supervised and semi-supervised approaches by learning from raw data, which is the first and largest dataset to date. Existing autonomous driving systems heavily rely on `perfect' visual perception models (i.e., detection) trained using extensive annotated data to ensure safety. However, it is unrealistic to elaborately label instances of all scenarios and circumstances (i.e., night, extreme weather, cities) when deploying","authors_text":"Chaoqiang Ye, Chunjing Xu, Hang Xu, Jiageng Mao, Jianhua Han, Kai Chen, Lanqing Hong, Wei Zhang, Xiaodan Liang, Xiwen Liang, Zhenguo Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-21T13:55:57Z","title":"SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.11118","kind":"arxiv","version":3},"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:d82197dbd1cf84d0b47409c90e85a678176cfe61ea233cd7d0a490a79ce14b4f","target":"record","created_at":"2026-07-05T03:29:50Z","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":"e0cfa655a5d53f67ea796145e3cd49d493ef06ff76b433f8fd8228c0fd7baa76","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-21T13:55:57Z","title_canon_sha256":"2192e8b27060703296d555c2b1ec6cb60b35052daab1302e9c94d67112cde753"},"schema_version":"1.0","source":{"id":"2106.11118","kind":"arxiv","version":3}},"canonical_sha256":"c801305ee225516841dda596115696e62cdf3c77f665a97b0d45949c0a0b1800","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c801305ee225516841dda596115696e62cdf3c77f665a97b0d45949c0a0b1800","first_computed_at":"2026-07-05T03:29:50.280072Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:29:50.280072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FflB+D2LkOMyvJ1r1aW7FPOGOUGjJaeeVwpsQ++mvUi3RUWC/I3GwOSu/87T5eBibPVAe32UNX4RXz4/NlzFAg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:29:50.280492Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.11118","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d82197dbd1cf84d0b47409c90e85a678176cfe61ea233cd7d0a490a79ce14b4f","sha256:c6f929f89f01ce63cb1e1903fd7e9a76f9149c13bd81894c56c00a5993c7b3bf"],"state_sha256":"6f123e86ad0945ccf0b0018dc1fcfeb0bd9c9487b765eae321a1d42fb4d4455b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1h3dj3M1YR2dg80lhmPUVifcs8cTcdMnu8tmSJzg9hCbcHmNW7WnzHHWaDkOu2xppDSZgoGzDHSHA+6k/u4aDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T20:44:40.081235Z","bundle_sha256":"6e87e0b3fc8b1dc438825759f9caf6375a2c949c1f0101100031560c86058c36"}}