{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:BBBYWBA57LKSFV33HJRD7DSSCL","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":"643a1f488a7c7c88d1e789cc6bb98bc4ccbd1d3d6274054f7c20816bf2b35b8d","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-30T13:24:10Z","title_canon_sha256":"c7f683b79d9a2b31a65d2ad109804ee6b896873183b1c9efb0dbd07fd16d47a1"},"schema_version":"1.0","source":{"id":"2111.15376","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.15376","created_at":"2026-07-05T04:03:14Z"},{"alias_kind":"arxiv_version","alias_value":"2111.15376v2","created_at":"2026-07-05T04:03:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.15376","created_at":"2026-07-05T04:03:14Z"},{"alias_kind":"pith_short_12","alias_value":"BBBYWBA57LKS","created_at":"2026-07-05T04:03:14Z"},{"alias_kind":"pith_short_16","alias_value":"BBBYWBA57LKSFV33","created_at":"2026-07-05T04:03:14Z"},{"alias_kind":"pith_short_8","alias_value":"BBBYWBA5","created_at":"2026-07-05T04:03:14Z"}],"graph_snapshots":[{"event_id":"sha256:cc65c3e2b735ca8057f9d9e45c81a648a6a4d34673ce7945d58372d136f727ac","target":"graph","created_at":"2026-07-05T04:03:14Z","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/2111.15376/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Anomaly detection and localization are important problems in computer vision. Recently, Convolutional Neural Network (CNN) has been used for visual inspection. In particular, the scarcity of anomalous samples increases the difficulty of this task, and unsupervised leaning based methods are attracting attention. We focus on Student-Teacher Feature Pyramid Matching (STPM) which can be trained from only normal images with small number of epochs. Here we proposed a powerful method which compensates for the shortcomings of STPM. Proposed method consists of two students and two teachers that a pair ","authors_text":"Kazuhiro Hotta, Shinji Yamada","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-30T13:24:10Z","title":"Reconstruction Student with Attention for Student-Teacher Pyramid Matching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.15376","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":"sha256:77356d300631c7390324a3a65d929a19d8f6c4b9ddb3e75310bfc00c84ccfe88","target":"record","created_at":"2026-07-05T04:03:14Z","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":"643a1f488a7c7c88d1e789cc6bb98bc4ccbd1d3d6274054f7c20816bf2b35b8d","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-30T13:24:10Z","title_canon_sha256":"c7f683b79d9a2b31a65d2ad109804ee6b896873183b1c9efb0dbd07fd16d47a1"},"schema_version":"1.0","source":{"id":"2111.15376","kind":"arxiv","version":2}},"canonical_sha256":"08438b041dfad522d77b3a623f8e5212edef983f0512de65d4c49b61cfc7c882","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08438b041dfad522d77b3a623f8e5212edef983f0512de65d4c49b61cfc7c882","first_computed_at":"2026-07-05T04:03:14.514920Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:03:14.514920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lnlg8Xofod4CyYugR1CJQlv6IRpRcFl+70hQCPKrvHvD4pptlgB+LnbzTsaMwFT2EdnB1AY9h1sShMXsI0BRBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:03:14.515401Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.15376","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77356d300631c7390324a3a65d929a19d8f6c4b9ddb3e75310bfc00c84ccfe88","sha256:cc65c3e2b735ca8057f9d9e45c81a648a6a4d34673ce7945d58372d136f727ac"],"state_sha256":"44e1ab66fafdd14043ca61e40de429f7b5642cf9aee99b36ccabec0b5a185223"}