{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:GGQ3U5ZUIMGYW7RF457ATA35FI","short_pith_number":"pith:GGQ3U5ZU","canonical_record":{"source":{"id":"2105.10113","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-21T03:41:10Z","cross_cats_sorted":[],"title_canon_sha256":"88430cb8e0852e5450eb5a1633e0e6694ff628c28dec5c5c7ae1061269681bc0","abstract_canon_sha256":"2c6f751c36b8053a5a39fbc219920873d521cbbcf129b806ff37bdc4c19dec06"},"schema_version":"1.0"},"canonical_sha256":"31a1ba7734430d8b7e25e77e09837d2a31184162163ea0d7e27cad42aaacd19a","source":{"kind":"arxiv","id":"2105.10113","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.10113","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"arxiv_version","alias_value":"2105.10113v1","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.10113","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"pith_short_12","alias_value":"GGQ3U5ZUIMGY","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"pith_short_16","alias_value":"GGQ3U5ZUIMGYW7RF","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"pith_short_8","alias_value":"GGQ3U5ZU","created_at":"2026-07-05T02:42:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:GGQ3U5ZUIMGYW7RF457ATA35FI","target":"record","payload":{"canonical_record":{"source":{"id":"2105.10113","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-21T03:41:10Z","cross_cats_sorted":[],"title_canon_sha256":"88430cb8e0852e5450eb5a1633e0e6694ff628c28dec5c5c7ae1061269681bc0","abstract_canon_sha256":"2c6f751c36b8053a5a39fbc219920873d521cbbcf129b806ff37bdc4c19dec06"},"schema_version":"1.0"},"canonical_sha256":"31a1ba7734430d8b7e25e77e09837d2a31184162163ea0d7e27cad42aaacd19a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:42:07.574427Z","signature_b64":"KaUa4OAb1AXBsdU8UZXLYqn/7os/tKPYRtqg5QFaGLg3neyS4G169ChLZ5h31V7J5ALEDGNpUVVcTBCLfV6KAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31a1ba7734430d8b7e25e77e09837d2a31184162163ea0d7e27cad42aaacd19a","last_reissued_at":"2026-07-05T02:42:07.574025Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:42:07.574025Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.10113","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:42:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9zjGZbDoxX7bTfSFuRxBCcyWYQTihG2ZpNK/C+Oy7NMKIXznOFaLtzf+cm2wlQ08jXPpAnwwyfZ28EvLmFclDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T10:58:31.960611Z"},"content_sha256":"51bee714cf2e80dfee04ba3d1baaa275509ab04ca3cd24c8ad932b3f2e7fd24c","schema_version":"1.0","event_id":"sha256:51bee714cf2e80dfee04ba3d1baaa275509ab04ca3cd24c8ad932b3f2e7fd24c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:GGQ3U5ZUIMGYW7RF457ATA35FI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Min Li, Qiang Xu, Qiuxia Lai, Yannan Liu, Yu Li","submitted_at":"2021-05-21T03:41:10Z","abstract_excerpt":"Deep learning (DL) has achieved unprecedented success in a variety of tasks. However, DL systems are notoriously difficult to test and debug due to the lack of explainability of DL models and the huge test input space to cover. Generally speaking, it is relatively easy to collect a massive amount of test data, but the labeling cost can be quite high. Consequently, it is essential to conduct test selection and label only those selected \"high quality\" bug-revealing test inputs for test cost reduction.\n  In this paper, we propose a novel test prioritization technique that brings order into the un"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.10113","kind":"arxiv","version":1},"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/2105.10113/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":"2026-07-05T02:42:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K/vIvT/FSGeqrTu/eQ+KGJZG1wczyCiW9B4dkJEXWze2c6kwd2+5RGHTwGYJf7yW2+B2UEtmmrrZ4AfXSm4GAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T10:58:31.960976Z"},"content_sha256":"95df2a9d18ef0c7ee8a72b8302b830fb65091e594fb2ca0791ce47643f8bb874","schema_version":"1.0","event_id":"sha256:95df2a9d18ef0c7ee8a72b8302b830fb65091e594fb2ca0791ce47643f8bb874"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GGQ3U5ZUIMGYW7RF457ATA35FI/bundle.json","state_url":"https://pith.science/pith/GGQ3U5ZUIMGYW7RF457ATA35FI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GGQ3U5ZUIMGYW7RF457ATA35FI/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":"2026-07-20T10:58:31Z","links":{"resolver":"https://pith.science/pith/GGQ3U5ZUIMGYW7RF457ATA35FI","bundle":"https://pith.science/pith/GGQ3U5ZUIMGYW7RF457ATA35FI/bundle.json","state":"https://pith.science/pith/GGQ3U5ZUIMGYW7RF457ATA35FI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GGQ3U5ZUIMGYW7RF457ATA35FI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:GGQ3U5ZUIMGYW7RF457ATA35FI","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":"2c6f751c36b8053a5a39fbc219920873d521cbbcf129b806ff37bdc4c19dec06","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-21T03:41:10Z","title_canon_sha256":"88430cb8e0852e5450eb5a1633e0e6694ff628c28dec5c5c7ae1061269681bc0"},"schema_version":"1.0","source":{"id":"2105.10113","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.10113","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"arxiv_version","alias_value":"2105.10113v1","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.10113","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"pith_short_12","alias_value":"GGQ3U5ZUIMGY","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"pith_short_16","alias_value":"GGQ3U5ZUIMGYW7RF","created_at":"2026-07-05T02:42:07Z"},{"alias_kind":"pith_short_8","alias_value":"GGQ3U5ZU","created_at":"2026-07-05T02:42:07Z"}],"graph_snapshots":[{"event_id":"sha256:95df2a9d18ef0c7ee8a72b8302b830fb65091e594fb2ca0791ce47643f8bb874","target":"graph","created_at":"2026-07-05T02:42:07Z","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/2105.10113/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning (DL) has achieved unprecedented success in a variety of tasks. However, DL systems are notoriously difficult to test and debug due to the lack of explainability of DL models and the huge test input space to cover. Generally speaking, it is relatively easy to collect a massive amount of test data, but the labeling cost can be quite high. Consequently, it is essential to conduct test selection and label only those selected \"high quality\" bug-revealing test inputs for test cost reduction.\n  In this paper, we propose a novel test prioritization technique that brings order into the un","authors_text":"Min Li, Qiang Xu, Qiuxia Lai, Yannan Liu, Yu Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-21T03:41:10Z","title":"TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.10113","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":"sha256:51bee714cf2e80dfee04ba3d1baaa275509ab04ca3cd24c8ad932b3f2e7fd24c","target":"record","created_at":"2026-07-05T02:42:07Z","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":"2c6f751c36b8053a5a39fbc219920873d521cbbcf129b806ff37bdc4c19dec06","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-21T03:41:10Z","title_canon_sha256":"88430cb8e0852e5450eb5a1633e0e6694ff628c28dec5c5c7ae1061269681bc0"},"schema_version":"1.0","source":{"id":"2105.10113","kind":"arxiv","version":1}},"canonical_sha256":"31a1ba7734430d8b7e25e77e09837d2a31184162163ea0d7e27cad42aaacd19a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31a1ba7734430d8b7e25e77e09837d2a31184162163ea0d7e27cad42aaacd19a","first_computed_at":"2026-07-05T02:42:07.574025Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:42:07.574025Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KaUa4OAb1AXBsdU8UZXLYqn/7os/tKPYRtqg5QFaGLg3neyS4G169ChLZ5h31V7J5ALEDGNpUVVcTBCLfV6KAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:42:07.574427Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.10113","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51bee714cf2e80dfee04ba3d1baaa275509ab04ca3cd24c8ad932b3f2e7fd24c","sha256:95df2a9d18ef0c7ee8a72b8302b830fb65091e594fb2ca0791ce47643f8bb874"],"state_sha256":"7292c823739b79ea501dfc2f37479355913fa5b1cf15a5ed3383f61d64fb8237"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nwAh3iCJOyXeVdhK/8tCiYNCyQCqbrY5tLRxd9ZWZMeZjVylIeHn3aGt1tFKogZL+/NBJJF6tm51ecV3x+3GAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-20T10:58:31.963412Z","bundle_sha256":"4368bdc311a605e81450174ba187ba8461bd9b713828c3cb1e08b6dc53b932ac"}}