{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:BBBYWBA57LKSFV33HJRD7DSSCL","short_pith_number":"pith:BBBYWBA5","canonical_record":{"source":{"id":"2111.15376","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-30T13:24:10Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"c7f683b79d9a2b31a65d2ad109804ee6b896873183b1c9efb0dbd07fd16d47a1","abstract_canon_sha256":"643a1f488a7c7c88d1e789cc6bb98bc4ccbd1d3d6274054f7c20816bf2b35b8d"},"schema_version":"1.0"},"canonical_sha256":"08438b041dfad522d77b3a623f8e5212edef983f0512de65d4c49b61cfc7c882","source":{"kind":"arxiv","id":"2111.15376","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:BBBYWBA57LKSFV33HJRD7DSSCL","target":"record","payload":{"canonical_record":{"source":{"id":"2111.15376","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-30T13:24:10Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"c7f683b79d9a2b31a65d2ad109804ee6b896873183b1c9efb0dbd07fd16d47a1","abstract_canon_sha256":"643a1f488a7c7c88d1e789cc6bb98bc4ccbd1d3d6274054f7c20816bf2b35b8d"},"schema_version":"1.0"},"canonical_sha256":"08438b041dfad522d77b3a623f8e5212edef983f0512de65d4c49b61cfc7c882","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:03:14.515401Z","signature_b64":"lnlg8Xofod4CyYugR1CJQlv6IRpRcFl+70hQCPKrvHvD4pptlgB+LnbzTsaMwFT2EdnB1AY9h1sShMXsI0BRBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08438b041dfad522d77b3a623f8e5212edef983f0512de65d4c49b61cfc7c882","last_reissued_at":"2026-07-05T04:03:14.514920Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:03:14.514920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.15376","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":"2026-07-05T04:03:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gy5vOPZIZM9TQb4cRFkAsHbNbfRQQJOU61L+IBgZq4cA+MhfYqetsndK8y18IpL3gtSyqmAy/yWiGMxuarXUAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T14:06:56.587757Z"},"content_sha256":"77356d300631c7390324a3a65d929a19d8f6c4b9ddb3e75310bfc00c84ccfe88","schema_version":"1.0","event_id":"sha256:77356d300631c7390324a3a65d929a19d8f6c4b9ddb3e75310bfc00c84ccfe88"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:BBBYWBA57LKSFV33HJRD7DSSCL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reconstruction Student with Attention for Student-Teacher Pyramid Matching","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Kazuhiro Hotta, Shinji Yamada","submitted_at":"2021-11-30T13:24:10Z","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 "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.15376","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/2111.15376/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":"2026-07-05T04:03:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"frasHu2nLBTdU4K7vB8EXQIIc2TzlW/Zu3QiA+eIKvVgfS39Cc7bDOZygyGPjDywRfD6wur78in/pJy+RA43Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T14:06:56.588694Z"},"content_sha256":"cc65c3e2b735ca8057f9d9e45c81a648a6a4d34673ce7945d58372d136f727ac","schema_version":"1.0","event_id":"sha256:cc65c3e2b735ca8057f9d9e45c81a648a6a4d34673ce7945d58372d136f727ac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BBBYWBA57LKSFV33HJRD7DSSCL/bundle.json","state_url":"https://pith.science/pith/BBBYWBA57LKSFV33HJRD7DSSCL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BBBYWBA57LKSFV33HJRD7DSSCL/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":"2026-08-12T14:06:56Z","links":{"resolver":"https://pith.science/pith/BBBYWBA57LKSFV33HJRD7DSSCL","bundle":"https://pith.science/pith/BBBYWBA57LKSFV33HJRD7DSSCL/bundle.json","state":"https://pith.science/pith/BBBYWBA57LKSFV33HJRD7DSSCL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BBBYWBA57LKSFV33HJRD7DSSCL/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FAT/mq5TqG+UwIYVy1IvKAB9U4ZU4NVm0AmfINGuDW0OdzZaPejsGZygZsdGZUxCE/6M9hwEOZWKzOBNgu+qCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T14:06:56.593891Z","bundle_sha256":"30b9512c6beb8c4557fc66034af32ad21b1e12a735cf60791bc6c25a0fdd297b"}}