{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:PNIVFAJY4UNLMEF5SD7HE3XQQC","short_pith_number":"pith:PNIVFAJY","canonical_record":{"source":{"id":"2207.10024","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-20T16:41:36Z","cross_cats_sorted":[],"title_canon_sha256":"e34a84b648bc22771c75a2e371f918a1857c973374e102dda91933fca2ceb505","abstract_canon_sha256":"12fc1b4dcb4d4ae47f4191ec6f782b023a513de9753e422470301388ab3bcd6d"},"schema_version":"1.0"},"canonical_sha256":"7b51528138e51ab610bd90fe726ef080bce43f477a81bbfd7326413ad264d27b","source":{"kind":"arxiv","id":"2207.10024","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.10024","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"arxiv_version","alias_value":"2207.10024v1","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.10024","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"pith_short_12","alias_value":"PNIVFAJY4UNL","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"pith_short_16","alias_value":"PNIVFAJY4UNLMEF5","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"pith_short_8","alias_value":"PNIVFAJY","created_at":"2026-07-05T04:42:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:PNIVFAJY4UNLMEF5SD7HE3XQQC","target":"record","payload":{"canonical_record":{"source":{"id":"2207.10024","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-20T16:41:36Z","cross_cats_sorted":[],"title_canon_sha256":"e34a84b648bc22771c75a2e371f918a1857c973374e102dda91933fca2ceb505","abstract_canon_sha256":"12fc1b4dcb4d4ae47f4191ec6f782b023a513de9753e422470301388ab3bcd6d"},"schema_version":"1.0"},"canonical_sha256":"7b51528138e51ab610bd90fe726ef080bce43f477a81bbfd7326413ad264d27b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:42:10.516229Z","signature_b64":"1VWdW9leA2iUFfPYkpVrgj8A4fF0w2n6JyhJzKRTMVmteg0znsJi9NjGmfJdNLiIoix0eynJ46mdLYAF08y8Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b51528138e51ab610bd90fe726ef080bce43f477a81bbfd7326413ad264d27b","last_reissued_at":"2026-07-05T04:42:10.515851Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:42:10.515851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.10024","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":"2026-07-05T04:42:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fkzlz9ZCURr8Bcg8eULZGv+8qtfvOQOyBYr1op5LAwTQMlqRu0VImjLFfuCZydXNEBywsfXtQqye2a/nrPXcBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:09:44.283525Z"},"content_sha256":"077057b936e4e18e3e3a1456c1a5c34330ae66215c355d7a16b8dedc702958fc","schema_version":"1.0","event_id":"sha256:077057b936e4e18e3e3a1456c1a5c34330ae66215c355d7a16b8dedc702958fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:PNIVFAJY4UNLMEF5SD7HE3XQQC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Difficulty-Aware Simulator for Open Set Recognition","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cheol-Ho Cho, Hyun Seok Seong, Jae-Pil Heo, Junho Park, WonJun Moon","submitted_at":"2022-07-20T16:41:36Z","abstract_excerpt":"Open set recognition (OSR) assumes unknown instances appear out of the blue at the inference time. The main challenge of OSR is that the response of models for unknowns is totally unpredictable. Furthermore, the diversity of open set makes it harder since instances have different difficulty levels. Therefore, we present a novel framework, DIfficulty-Aware Simulator (DIAS), that generates fakes with diverse difficulty levels to simulate the real world. We first investigate fakes from generative adversarial network (GAN) in the classifier's viewpoint and observe that these are not severely chall"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.10024","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/2207.10024/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":"2026-07-05T04:42:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UK+fqb1d6cqeG7YpZoQV0Lh7vaim4Emfl1ToZEtAT8OmQ1+/7g93h8SKak2gyj21x/akQWtOYOig9QX1L+suBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:09:44.284129Z"},"content_sha256":"e3108ab47dcea40f5cbc7570926437a1d19aa985b8835a0f042736213a7d6e2e","schema_version":"1.0","event_id":"sha256:e3108ab47dcea40f5cbc7570926437a1d19aa985b8835a0f042736213a7d6e2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PNIVFAJY4UNLMEF5SD7HE3XQQC/bundle.json","state_url":"https://pith.science/pith/PNIVFAJY4UNLMEF5SD7HE3XQQC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PNIVFAJY4UNLMEF5SD7HE3XQQC/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":"2026-08-03T16:09:44Z","links":{"resolver":"https://pith.science/pith/PNIVFAJY4UNLMEF5SD7HE3XQQC","bundle":"https://pith.science/pith/PNIVFAJY4UNLMEF5SD7HE3XQQC/bundle.json","state":"https://pith.science/pith/PNIVFAJY4UNLMEF5SD7HE3XQQC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PNIVFAJY4UNLMEF5SD7HE3XQQC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PNIVFAJY4UNLMEF5SD7HE3XQQC","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":"12fc1b4dcb4d4ae47f4191ec6f782b023a513de9753e422470301388ab3bcd6d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-20T16:41:36Z","title_canon_sha256":"e34a84b648bc22771c75a2e371f918a1857c973374e102dda91933fca2ceb505"},"schema_version":"1.0","source":{"id":"2207.10024","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.10024","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"arxiv_version","alias_value":"2207.10024v1","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.10024","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"pith_short_12","alias_value":"PNIVFAJY4UNL","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"pith_short_16","alias_value":"PNIVFAJY4UNLMEF5","created_at":"2026-07-05T04:42:10Z"},{"alias_kind":"pith_short_8","alias_value":"PNIVFAJY","created_at":"2026-07-05T04:42:10Z"}],"graph_snapshots":[{"event_id":"sha256:e3108ab47dcea40f5cbc7570926437a1d19aa985b8835a0f042736213a7d6e2e","target":"graph","created_at":"2026-07-05T04:42:10Z","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/2207.10024/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Open set recognition (OSR) assumes unknown instances appear out of the blue at the inference time. The main challenge of OSR is that the response of models for unknowns is totally unpredictable. Furthermore, the diversity of open set makes it harder since instances have different difficulty levels. Therefore, we present a novel framework, DIfficulty-Aware Simulator (DIAS), that generates fakes with diverse difficulty levels to simulate the real world. We first investigate fakes from generative adversarial network (GAN) in the classifier's viewpoint and observe that these are not severely chall","authors_text":"Cheol-Ho Cho, Hyun Seok Seong, Jae-Pil Heo, Junho Park, WonJun Moon","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-20T16:41:36Z","title":"Difficulty-Aware Simulator for Open Set Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.10024","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":"sha256:077057b936e4e18e3e3a1456c1a5c34330ae66215c355d7a16b8dedc702958fc","target":"record","created_at":"2026-07-05T04:42:10Z","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":"12fc1b4dcb4d4ae47f4191ec6f782b023a513de9753e422470301388ab3bcd6d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-20T16:41:36Z","title_canon_sha256":"e34a84b648bc22771c75a2e371f918a1857c973374e102dda91933fca2ceb505"},"schema_version":"1.0","source":{"id":"2207.10024","kind":"arxiv","version":1}},"canonical_sha256":"7b51528138e51ab610bd90fe726ef080bce43f477a81bbfd7326413ad264d27b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b51528138e51ab610bd90fe726ef080bce43f477a81bbfd7326413ad264d27b","first_computed_at":"2026-07-05T04:42:10.515851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:42:10.515851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1VWdW9leA2iUFfPYkpVrgj8A4fF0w2n6JyhJzKRTMVmteg0znsJi9NjGmfJdNLiIoix0eynJ46mdLYAF08y8Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:42:10.516229Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.10024","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:077057b936e4e18e3e3a1456c1a5c34330ae66215c355d7a16b8dedc702958fc","sha256:e3108ab47dcea40f5cbc7570926437a1d19aa985b8835a0f042736213a7d6e2e"],"state_sha256":"d1cd9708da24787acb31031a72da0ec69e4c44bbc7198594faef710818a7a244"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EKQ+2s9z5wUwP22w+yqO1rCy7oH5F9AVglsg5S76I43VkopltLOSoXRqjdPmthIsYFTwEqPMpSdNS0kx2VuODA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:09:44.287920Z","bundle_sha256":"31d18ac6dd92982df56b8a4ea32eee795ff3a75f9b24ef6df980276d3e32a45a"}}