{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HEOCUP7NCVT32GUGLLV5F5XWLF","short_pith_number":"pith:HEOCUP7N","canonical_record":{"source":{"id":"1909.08223","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T06:24:42Z","cross_cats_sorted":[],"title_canon_sha256":"31214aaeb515f2687d045bc6f7627fd20438dddda82a24e84656d653ffe672a5","abstract_canon_sha256":"35f71ecca2b5f9fae14cb0dbb9c472841d2e14ca6dbf0c89cefaa35ac4841858"},"schema_version":"1.0"},"canonical_sha256":"391c2a3fed1567bd1a865aebd2f6f65963bded3a2a67b77309080f86bcd39541","source":{"kind":"arxiv","id":"1909.08223","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.08223","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"arxiv_version","alias_value":"1909.08223v3","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.08223","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"pith_short_12","alias_value":"HEOCUP7NCVT3","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"pith_short_16","alias_value":"HEOCUP7NCVT32GUG","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"pith_short_8","alias_value":"HEOCUP7N","created_at":"2026-07-05T00:49:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HEOCUP7NCVT32GUGLLV5F5XWLF","target":"record","payload":{"canonical_record":{"source":{"id":"1909.08223","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T06:24:42Z","cross_cats_sorted":[],"title_canon_sha256":"31214aaeb515f2687d045bc6f7627fd20438dddda82a24e84656d653ffe672a5","abstract_canon_sha256":"35f71ecca2b5f9fae14cb0dbb9c472841d2e14ca6dbf0c89cefaa35ac4841858"},"schema_version":"1.0"},"canonical_sha256":"391c2a3fed1567bd1a865aebd2f6f65963bded3a2a67b77309080f86bcd39541","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:49:24.721956Z","signature_b64":"2BTBtDNd495U5aaPlCddE+tdGbSg2bfBmEHXoaU6BhgMiDsTss18eSi2BvmOffN+njI5jTVB5ymIqkSYs/+KBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"391c2a3fed1567bd1a865aebd2f6f65963bded3a2a67b77309080f86bcd39541","last_reissued_at":"2026-07-05T00:49:24.721533Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:49:24.721533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.08223","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:49:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VnmJySH29HKY6pmkHLSB2Gsxzz6ZYH4UbUYM48VUlMeNTpjnhJ0O7TPZNqBpSenBerhM5vflmUWeJaYy85HtDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:46:05.321746Z"},"content_sha256":"73646dc0110a06b9b38203993cf7c2b47cb900998fec7bba7b34ee59aad6d526","schema_version":"1.0","event_id":"sha256:73646dc0110a06b9b38203993cf7c2b47cb900998fec7bba7b34ee59aad6d526"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HEOCUP7NCVT32GUGLLV5F5XWLF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Diversified Arbitrary Style Transfer via Deep Feature Perturbation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongming Lu, Haibo Chen, Lei Zhao, Lihong Qiu, Qihang Mo, Sihuan Lin, Wei Xing, Zhizhong Wang","submitted_at":"2019-09-18T06:24:42Z","abstract_excerpt":"Image style transfer is an underdetermined problem, where a large number of solutions can satisfy the same constraint (the content and style). Although there have been some efforts to improve the diversity of style transfer by introducing an alternative diversity loss, they have restricted generalization, limited diversity and poor scalability. In this paper, we tackle these limitations and propose a simple yet effective method for diversified arbitrary style transfer. The key idea of our method is an operation called deep feature perturbation (DFP), which uses an orthogonal random noise matri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.08223","kind":"arxiv","version":3},"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/1909.08223/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":"2026-07-05T00:49:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bW8DKBCWi7v/DwVqRSrxSdvXAOzBcwI+/KKapdLNH5TKs/Ty7/H5M3lul4fOsQSpt/PbZUGuUf3fJ4oH9Ip6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:46:05.322602Z"},"content_sha256":"034135447f5a44b983db6a7990a5ee6b23c9e95c6d207fd7d1b76007d8123a27","schema_version":"1.0","event_id":"sha256:034135447f5a44b983db6a7990a5ee6b23c9e95c6d207fd7d1b76007d8123a27"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HEOCUP7NCVT32GUGLLV5F5XWLF/bundle.json","state_url":"https://pith.science/pith/HEOCUP7NCVT32GUGLLV5F5XWLF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HEOCUP7NCVT32GUGLLV5F5XWLF/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":"2026-07-09T06:46:05Z","links":{"resolver":"https://pith.science/pith/HEOCUP7NCVT32GUGLLV5F5XWLF","bundle":"https://pith.science/pith/HEOCUP7NCVT32GUGLLV5F5XWLF/bundle.json","state":"https://pith.science/pith/HEOCUP7NCVT32GUGLLV5F5XWLF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HEOCUP7NCVT32GUGLLV5F5XWLF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HEOCUP7NCVT32GUGLLV5F5XWLF","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":"35f71ecca2b5f9fae14cb0dbb9c472841d2e14ca6dbf0c89cefaa35ac4841858","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T06:24:42Z","title_canon_sha256":"31214aaeb515f2687d045bc6f7627fd20438dddda82a24e84656d653ffe672a5"},"schema_version":"1.0","source":{"id":"1909.08223","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.08223","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"arxiv_version","alias_value":"1909.08223v3","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.08223","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"pith_short_12","alias_value":"HEOCUP7NCVT3","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"pith_short_16","alias_value":"HEOCUP7NCVT32GUG","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"pith_short_8","alias_value":"HEOCUP7N","created_at":"2026-07-05T00:49:24Z"}],"graph_snapshots":[{"event_id":"sha256:034135447f5a44b983db6a7990a5ee6b23c9e95c6d207fd7d1b76007d8123a27","target":"graph","created_at":"2026-07-05T00:49:24Z","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/1909.08223/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image style transfer is an underdetermined problem, where a large number of solutions can satisfy the same constraint (the content and style). Although there have been some efforts to improve the diversity of style transfer by introducing an alternative diversity loss, they have restricted generalization, limited diversity and poor scalability. In this paper, we tackle these limitations and propose a simple yet effective method for diversified arbitrary style transfer. The key idea of our method is an operation called deep feature perturbation (DFP), which uses an orthogonal random noise matri","authors_text":"Dongming Lu, Haibo Chen, Lei Zhao, Lihong Qiu, Qihang Mo, Sihuan Lin, Wei Xing, Zhizhong Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T06:24:42Z","title":"Diversified Arbitrary Style Transfer via Deep Feature Perturbation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.08223","kind":"arxiv","version":3},"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":"sha256:73646dc0110a06b9b38203993cf7c2b47cb900998fec7bba7b34ee59aad6d526","target":"record","created_at":"2026-07-05T00:49:24Z","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":"35f71ecca2b5f9fae14cb0dbb9c472841d2e14ca6dbf0c89cefaa35ac4841858","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-18T06:24:42Z","title_canon_sha256":"31214aaeb515f2687d045bc6f7627fd20438dddda82a24e84656d653ffe672a5"},"schema_version":"1.0","source":{"id":"1909.08223","kind":"arxiv","version":3}},"canonical_sha256":"391c2a3fed1567bd1a865aebd2f6f65963bded3a2a67b77309080f86bcd39541","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"391c2a3fed1567bd1a865aebd2f6f65963bded3a2a67b77309080f86bcd39541","first_computed_at":"2026-07-05T00:49:24.721533Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:49:24.721533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2BTBtDNd495U5aaPlCddE+tdGbSg2bfBmEHXoaU6BhgMiDsTss18eSi2BvmOffN+njI5jTVB5ymIqkSYs/+KBA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:49:24.721956Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.08223","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73646dc0110a06b9b38203993cf7c2b47cb900998fec7bba7b34ee59aad6d526","sha256:034135447f5a44b983db6a7990a5ee6b23c9e95c6d207fd7d1b76007d8123a27"],"state_sha256":"5e57a7f1aba2360f8051b9f9db86925b2ecddd8e66ecb2cb77ffaf2089ebe1c4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XownZDwvCg45LqflpTA2FaVcwFA87CtR1YIcIjoMfBkli+ijaP0GmdiBUGVsEuFadYZWVboHNpsGmrm8YZRiAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T06:46:05.327599Z","bundle_sha256":"fe28e2af21cfbeafc3164523831e6f5021a7fc9600d8ee2104de71d184d9aa06"}}