{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:7EXND3O4IN2VZUBIO4FHOOY2FY","short_pith_number":"pith:7EXND3O4","canonical_record":{"source":{"id":"1802.04441","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-13T02:29:57Z","cross_cats_sorted":[],"title_canon_sha256":"2d1b324751f6a31cdc8089f032fa02b276a85c206ed7a0477746c399625622ca","abstract_canon_sha256":"914089648b89e5b805c3e5c249be6d434cbfcef16959a3cf42dbf4f9d2ad455b"},"schema_version":"1.0"},"canonical_sha256":"f92ed1eddc43755cd028770a773b1a2e29a908b43f79b38ad669f7272d1e3c32","source":{"kind":"arxiv","id":"1802.04441","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.04441","created_at":"2026-05-17T23:39:49Z"},{"alias_kind":"arxiv_version","alias_value":"1802.04441v1","created_at":"2026-05-17T23:39:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.04441","created_at":"2026-05-17T23:39:49Z"},{"alias_kind":"pith_short_12","alias_value":"7EXND3O4IN2V","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7EXND3O4IN2VZUBI","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7EXND3O4","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:7EXND3O4IN2VZUBIO4FHOOY2FY","target":"record","payload":{"canonical_record":{"source":{"id":"1802.04441","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-13T02:29:57Z","cross_cats_sorted":[],"title_canon_sha256":"2d1b324751f6a31cdc8089f032fa02b276a85c206ed7a0477746c399625622ca","abstract_canon_sha256":"914089648b89e5b805c3e5c249be6d434cbfcef16959a3cf42dbf4f9d2ad455b"},"schema_version":"1.0"},"canonical_sha256":"f92ed1eddc43755cd028770a773b1a2e29a908b43f79b38ad669f7272d1e3c32","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:49.152421Z","signature_b64":"mYquGOL3WfwyhzDpE82BqbAuz/UyN0gHBTlsM7DVQ/SSz7QqiUXE69MPWehK2BHlU81oYdKs9Joif+osr/HLCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f92ed1eddc43755cd028770a773b1a2e29a908b43f79b38ad669f7272d1e3c32","last_reissued_at":"2026-05-17T23:39:49.151870Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:49.151870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.04441","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":"2026-05-17T23:39:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nyk5vloHYbg69q3VOVQ/p9UTIwWeiCtaqCnXVWA62BjefHiWpMD8wp+jWZs16lcPxK+0JHPfoKyucnwhg5QaBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T22:13:49.366076Z"},"content_sha256":"de74c48ed7c5c638ab9b928375c8b34d30a375fc9c384f2bfdcc6fcd2b8290ab","schema_version":"1.0","event_id":"sha256:de74c48ed7c5c638ab9b928375c8b34d30a375fc9c384f2bfdcc6fcd2b8290ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:7EXND3O4IN2VZUBIO4FHOOY2FY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Texture Classification in Extreme Scale Variations using GANet","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guoying Zhao, Jie Chen, Li Liu, Matti Pietik\\\"ainen, Paul Fieguth, Xilin Chen","submitted_at":"2018-02-13T02:29:57Z","abstract_excerpt":"Research in texture recognition often concentrates on recognizing textures with intraclass variations such as illumination, rotation, viewpoint and small scale changes. In contrast, in real-world applications a change in scale can have a dramatic impact on texture appearance, to the point of changing completely from one texture category to another. As a result, texture variations due to changes in scale are amongst the hardest to handle. In this work we conduct the first study of classifying textures with extreme variations in scale. To address this issue, we first propose and then reduce scal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.04441","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":""},"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":"2026-05-17T23:39:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iPZQyNyqXRV72dsrzlR1W+rhGYU9GzXV8s9WUfZhx6FkgY1eKt6P9xwY67vW88Sm9lUWt8XUXf0MeX5y3dWkDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T22:13:49.366747Z"},"content_sha256":"bc28bab521ef54d2ba07bd91a8aa5a3771a52aea24f9053ade8efad4f49918a0","schema_version":"1.0","event_id":"sha256:bc28bab521ef54d2ba07bd91a8aa5a3771a52aea24f9053ade8efad4f49918a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7EXND3O4IN2VZUBIO4FHOOY2FY/bundle.json","state_url":"https://pith.science/pith/7EXND3O4IN2VZUBIO4FHOOY2FY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7EXND3O4IN2VZUBIO4FHOOY2FY/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":"2026-05-28T22:13:49Z","links":{"resolver":"https://pith.science/pith/7EXND3O4IN2VZUBIO4FHOOY2FY","bundle":"https://pith.science/pith/7EXND3O4IN2VZUBIO4FHOOY2FY/bundle.json","state":"https://pith.science/pith/7EXND3O4IN2VZUBIO4FHOOY2FY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7EXND3O4IN2VZUBIO4FHOOY2FY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7EXND3O4IN2VZUBIO4FHOOY2FY","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":"914089648b89e5b805c3e5c249be6d434cbfcef16959a3cf42dbf4f9d2ad455b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-13T02:29:57Z","title_canon_sha256":"2d1b324751f6a31cdc8089f032fa02b276a85c206ed7a0477746c399625622ca"},"schema_version":"1.0","source":{"id":"1802.04441","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.04441","created_at":"2026-05-17T23:39:49Z"},{"alias_kind":"arxiv_version","alias_value":"1802.04441v1","created_at":"2026-05-17T23:39:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.04441","created_at":"2026-05-17T23:39:49Z"},{"alias_kind":"pith_short_12","alias_value":"7EXND3O4IN2V","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7EXND3O4IN2VZUBI","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7EXND3O4","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:bc28bab521ef54d2ba07bd91a8aa5a3771a52aea24f9053ade8efad4f49918a0","target":"graph","created_at":"2026-05-17T23:39:49Z","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"},"paper":{"abstract_excerpt":"Research in texture recognition often concentrates on recognizing textures with intraclass variations such as illumination, rotation, viewpoint and small scale changes. In contrast, in real-world applications a change in scale can have a dramatic impact on texture appearance, to the point of changing completely from one texture category to another. As a result, texture variations due to changes in scale are amongst the hardest to handle. In this work we conduct the first study of classifying textures with extreme variations in scale. To address this issue, we first propose and then reduce scal","authors_text":"Guoying Zhao, Jie Chen, Li Liu, Matti Pietik\\\"ainen, Paul Fieguth, Xilin Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-13T02:29:57Z","title":"Texture Classification in Extreme Scale Variations using GANet"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.04441","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:de74c48ed7c5c638ab9b928375c8b34d30a375fc9c384f2bfdcc6fcd2b8290ab","target":"record","created_at":"2026-05-17T23:39:49Z","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":"914089648b89e5b805c3e5c249be6d434cbfcef16959a3cf42dbf4f9d2ad455b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-13T02:29:57Z","title_canon_sha256":"2d1b324751f6a31cdc8089f032fa02b276a85c206ed7a0477746c399625622ca"},"schema_version":"1.0","source":{"id":"1802.04441","kind":"arxiv","version":1}},"canonical_sha256":"f92ed1eddc43755cd028770a773b1a2e29a908b43f79b38ad669f7272d1e3c32","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f92ed1eddc43755cd028770a773b1a2e29a908b43f79b38ad669f7272d1e3c32","first_computed_at":"2026-05-17T23:39:49.151870Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:49.151870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mYquGOL3WfwyhzDpE82BqbAuz/UyN0gHBTlsM7DVQ/SSz7QqiUXE69MPWehK2BHlU81oYdKs9Joif+osr/HLCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:49.152421Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.04441","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de74c48ed7c5c638ab9b928375c8b34d30a375fc9c384f2bfdcc6fcd2b8290ab","sha256:bc28bab521ef54d2ba07bd91a8aa5a3771a52aea24f9053ade8efad4f49918a0"],"state_sha256":"76d0b5053956cec5ac6e625a3e758f698acd0b6d9f7ae6640a944157156acc83"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WCF1Zl8zXDyyFraQqQBK2RX6x0bIs8PwhggsDq0e60ju7+DWXk1ihToQTc57/5LvF2na0lkG21VASKf8I0+rDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T22:13:49.369964Z","bundle_sha256":"a6c997d755a708994c6efc8d92d66d84c090c70e24206c5638bc0886b6bd1f88"}}