{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:HJ4IGHGXWX23AQENVBSDUAEE7A","short_pith_number":"pith:HJ4IGHGX","canonical_record":{"source":{"id":"2205.13879","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-05-27T10:19:16Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"a4d4f22e45e6050c04fcfa6be0f6116507afe3c75c3dfb34ac56b2730d1dd168","abstract_canon_sha256":"ca5fc63ae2528a3e6f184967ddc398ac838b93046f3c3d283385e19881ee18d5"},"schema_version":"1.0"},"canonical_sha256":"3a78831cd7b5f5b0408da8643a0084f80f4f7954caac8eb33b4b1333b7461e19","source":{"kind":"arxiv","id":"2205.13879","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.13879","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"arxiv_version","alias_value":"2205.13879v2","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.13879","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"pith_short_12","alias_value":"HJ4IGHGXWX23","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"pith_short_16","alias_value":"HJ4IGHGXWX23AQEN","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"pith_short_8","alias_value":"HJ4IGHGX","created_at":"2026-07-05T05:18:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:HJ4IGHGXWX23AQENVBSDUAEE7A","target":"record","payload":{"canonical_record":{"source":{"id":"2205.13879","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-05-27T10:19:16Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"a4d4f22e45e6050c04fcfa6be0f6116507afe3c75c3dfb34ac56b2730d1dd168","abstract_canon_sha256":"ca5fc63ae2528a3e6f184967ddc398ac838b93046f3c3d283385e19881ee18d5"},"schema_version":"1.0"},"canonical_sha256":"3a78831cd7b5f5b0408da8643a0084f80f4f7954caac8eb33b4b1333b7461e19","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:18:03.946968Z","signature_b64":"sIVYaSuWkIjdp3O3Ju9lE+YDjrGno+fwlxEeZ7A7Oalal+6JRIRw447Irnr4sLT/x6v2hdCAlycD5H3pmwdECw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a78831cd7b5f5b0408da8643a0084f80f4f7954caac8eb33b4b1333b7461e19","last_reissued_at":"2026-07-05T05:18:03.946589Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:18:03.946589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.13879","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:18:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z0ALlYAxTCDxGy84xNVp/ByZ3C0D6jTUkerWwftLstsZPqQ4qNAl3zzq2pIxnJiGoWyx+Mkrg3k7BX9IagIkAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:55:43.164712Z"},"content_sha256":"62ffc013fd67a2b1783cb2ecab10f95f44ef1fadae9a62ef477fc0a66f4e88db","schema_version":"1.0","event_id":"sha256:62ffc013fd67a2b1783cb2ecab10f95f44ef1fadae9a62ef477fc0a66f4e88db"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:HJ4IGHGXWX23AQENVBSDUAEE7A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Harsh Purohit, Kota Dohi, Masaaki Yamamoto, Ryo Tanabe, Takashi Endo, Tomoya Nishida, Yohei Kawaguchi, Yuki Nikaido","submitted_at":"2022-05-27T10:19:16Z","abstract_excerpt":"We present a machine sound dataset to benchmark domain generalization techniques for anomalous sound detection (ASD). Domain shifts are differences in data distributions that can degrade the detection performance, and handling them is a major issue for the application of ASD systems. While currently available datasets for ASD tasks assume that occurrences of domain shifts are known, in practice, they can be difficult to detect. To handle such domain shifts, domain generalization techniques that perform well regardless of the domains should be investigated. In this paper, we present the first A"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.13879","kind":"arxiv","version":2},"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/2205.13879/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":"2026-07-05T05:18:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9qjSoqnCqQhdbZ1k50b6w0PfnQMmGxcJUzHUw/3Bn83G5G16pNzv2NtA6CzdbloMM1mApsyc8LTkR7B4p+X5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:55:43.165045Z"},"content_sha256":"4a19e06d1811d9a49f74dfd99979928a50292a2651fe36444eaa5d6f44fdb3c0","schema_version":"1.0","event_id":"sha256:4a19e06d1811d9a49f74dfd99979928a50292a2651fe36444eaa5d6f44fdb3c0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HJ4IGHGXWX23AQENVBSDUAEE7A/bundle.json","state_url":"https://pith.science/pith/HJ4IGHGXWX23AQENVBSDUAEE7A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HJ4IGHGXWX23AQENVBSDUAEE7A/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":"2026-08-14T06:55:43Z","links":{"resolver":"https://pith.science/pith/HJ4IGHGXWX23AQENVBSDUAEE7A","bundle":"https://pith.science/pith/HJ4IGHGXWX23AQENVBSDUAEE7A/bundle.json","state":"https://pith.science/pith/HJ4IGHGXWX23AQENVBSDUAEE7A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HJ4IGHGXWX23AQENVBSDUAEE7A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HJ4IGHGXWX23AQENVBSDUAEE7A","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":"ca5fc63ae2528a3e6f184967ddc398ac838b93046f3c3d283385e19881ee18d5","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-05-27T10:19:16Z","title_canon_sha256":"a4d4f22e45e6050c04fcfa6be0f6116507afe3c75c3dfb34ac56b2730d1dd168"},"schema_version":"1.0","source":{"id":"2205.13879","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.13879","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"arxiv_version","alias_value":"2205.13879v2","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.13879","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"pith_short_12","alias_value":"HJ4IGHGXWX23","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"pith_short_16","alias_value":"HJ4IGHGXWX23AQEN","created_at":"2026-07-05T05:18:03Z"},{"alias_kind":"pith_short_8","alias_value":"HJ4IGHGX","created_at":"2026-07-05T05:18:03Z"}],"graph_snapshots":[{"event_id":"sha256:4a19e06d1811d9a49f74dfd99979928a50292a2651fe36444eaa5d6f44fdb3c0","target":"graph","created_at":"2026-07-05T05:18:03Z","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/2205.13879/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a machine sound dataset to benchmark domain generalization techniques for anomalous sound detection (ASD). Domain shifts are differences in data distributions that can degrade the detection performance, and handling them is a major issue for the application of ASD systems. While currently available datasets for ASD tasks assume that occurrences of domain shifts are known, in practice, they can be difficult to detect. To handle such domain shifts, domain generalization techniques that perform well regardless of the domains should be investigated. In this paper, we present the first A","authors_text":"Harsh Purohit, Kota Dohi, Masaaki Yamamoto, Ryo Tanabe, Takashi Endo, Tomoya Nishida, Yohei Kawaguchi, Yuki Nikaido","cross_cats":["cs.AI","cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-05-27T10:19:16Z","title":"MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.13879","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":"sha256:62ffc013fd67a2b1783cb2ecab10f95f44ef1fadae9a62ef477fc0a66f4e88db","target":"record","created_at":"2026-07-05T05:18:03Z","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":"ca5fc63ae2528a3e6f184967ddc398ac838b93046f3c3d283385e19881ee18d5","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2022-05-27T10:19:16Z","title_canon_sha256":"a4d4f22e45e6050c04fcfa6be0f6116507afe3c75c3dfb34ac56b2730d1dd168"},"schema_version":"1.0","source":{"id":"2205.13879","kind":"arxiv","version":2}},"canonical_sha256":"3a78831cd7b5f5b0408da8643a0084f80f4f7954caac8eb33b4b1333b7461e19","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a78831cd7b5f5b0408da8643a0084f80f4f7954caac8eb33b4b1333b7461e19","first_computed_at":"2026-07-05T05:18:03.946589Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:18:03.946589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sIVYaSuWkIjdp3O3Ju9lE+YDjrGno+fwlxEeZ7A7Oalal+6JRIRw447Irnr4sLT/x6v2hdCAlycD5H3pmwdECw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:18:03.946968Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.13879","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62ffc013fd67a2b1783cb2ecab10f95f44ef1fadae9a62ef477fc0a66f4e88db","sha256:4a19e06d1811d9a49f74dfd99979928a50292a2651fe36444eaa5d6f44fdb3c0"],"state_sha256":"c95e395b9135ecda23d902df130abc8bdcdb342aa049b0270332fb2b65881c79"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yo1fVb04tenmRb3WnGo8yz3iU8oD5FMJOM5BMM/LVbP3P+kcMzKIsERza30b5i6ejbxNQjT4BKrJJnwNq2PGCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T06:55:43.168372Z","bundle_sha256":"248157b97873d98a68fc829e9d543c3b068b8eee7d7a1a2e32e0946b5560c5a3"}}