{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:E6FASZ2EGB3GLRH2GAYVMO2ZFW","short_pith_number":"pith:E6FASZ2E","canonical_record":{"source":{"id":"1710.10182","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T14:56:45Z","cross_cats_sorted":[],"title_canon_sha256":"3ed39dc05aac794b08fa91ab3bf394acd82ac8d03df1e6e95dd660cd5f543f60","abstract_canon_sha256":"30bb4fd68c19f294307449f635918b115a4b36f60041f2889b0249fdc280578f"},"schema_version":"1.0"},"canonical_sha256":"278a096744307665c4fa3031563b592da49f4adbf9076597b44e6a53243725ca","source":{"kind":"arxiv","id":"1710.10182","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.10182","created_at":"2026-05-18T00:22:05Z"},{"alias_kind":"arxiv_version","alias_value":"1710.10182v2","created_at":"2026-05-18T00:22:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.10182","created_at":"2026-05-18T00:22:05Z"},{"alias_kind":"pith_short_12","alias_value":"E6FASZ2EGB3G","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"E6FASZ2EGB3GLRH2","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"E6FASZ2E","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:E6FASZ2EGB3GLRH2GAYVMO2ZFW","target":"record","payload":{"canonical_record":{"source":{"id":"1710.10182","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T14:56:45Z","cross_cats_sorted":[],"title_canon_sha256":"3ed39dc05aac794b08fa91ab3bf394acd82ac8d03df1e6e95dd660cd5f543f60","abstract_canon_sha256":"30bb4fd68c19f294307449f635918b115a4b36f60041f2889b0249fdc280578f"},"schema_version":"1.0"},"canonical_sha256":"278a096744307665c4fa3031563b592da49f4adbf9076597b44e6a53243725ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:22:05.478733Z","signature_b64":"zEr8RM4WnG2hevNdpYtTxth6daoBlBmD4RffU8Gy4D1GrrVar7vh4hZJzaHfrpNndlj7aUgRKOKyEKiINqkbBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"278a096744307665c4fa3031563b592da49f4adbf9076597b44e6a53243725ca","last_reissued_at":"2026-05-18T00:22:05.478030Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:22:05.478030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.10182","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":"2026-05-18T00:22:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eqj6UNhzK3ZK4Df+R4UX0DWs66fKhGeeHujPZ5f6tV5DxKMa6DRu0yufPQauT6yOdDY85Y3MLEjWSZz24UAFBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T17:36:06.302638Z"},"content_sha256":"74d070b0970ecbd5b0e87da55d9431735942e8bf66d4289e38bdbdb74e18bd77","schema_version":"1.0","event_id":"sha256:74d070b0970ecbd5b0e87da55d9431735942e8bf66d4289e38bdbdb74e18bd77"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:E6FASZ2EGB3GLRH2GAYVMO2ZFW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lidan Wang, Vishal M. Patel, Vishwanath A. Sindagi","submitted_at":"2017-10-27T14:56:45Z","abstract_excerpt":"Synthesizing face sketches from real photos and its inverse have many applications. However, photo/sketch synthesis remains a challenging problem due to the fact that photo and sketch have different characteristics. In this work, we consider this task as an image-to-image translation problem and explore the recently popular generative models (GANs) to generate high-quality realistic photos from sketches and sketches from photos. Recent GAN-based methods have shown promising results on image-to-image translation problems and photo-to-sketch synthesis in particular, however, they are known to ha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.10182","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":""},"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":"2026-05-18T00:22:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pd/01i2PLhvNbvv7DhhMOFgDKmz0i5vX6BbuwUaCfzb3Jhe3+gIQls22nXJCuz+gisnP3g6oMnfWKyDtc4EqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T17:36:06.302982Z"},"content_sha256":"3fa13670bbac68472774ab42d7fa0d1514e2f167ae78221c1d1e0a57fa8446a3","schema_version":"1.0","event_id":"sha256:3fa13670bbac68472774ab42d7fa0d1514e2f167ae78221c1d1e0a57fa8446a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E6FASZ2EGB3GLRH2GAYVMO2ZFW/bundle.json","state_url":"https://pith.science/pith/E6FASZ2EGB3GLRH2GAYVMO2ZFW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E6FASZ2EGB3GLRH2GAYVMO2ZFW/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":"2026-06-02T17:36:06Z","links":{"resolver":"https://pith.science/pith/E6FASZ2EGB3GLRH2GAYVMO2ZFW","bundle":"https://pith.science/pith/E6FASZ2EGB3GLRH2GAYVMO2ZFW/bundle.json","state":"https://pith.science/pith/E6FASZ2EGB3GLRH2GAYVMO2ZFW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E6FASZ2EGB3GLRH2GAYVMO2ZFW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:E6FASZ2EGB3GLRH2GAYVMO2ZFW","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":"30bb4fd68c19f294307449f635918b115a4b36f60041f2889b0249fdc280578f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T14:56:45Z","title_canon_sha256":"3ed39dc05aac794b08fa91ab3bf394acd82ac8d03df1e6e95dd660cd5f543f60"},"schema_version":"1.0","source":{"id":"1710.10182","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.10182","created_at":"2026-05-18T00:22:05Z"},{"alias_kind":"arxiv_version","alias_value":"1710.10182v2","created_at":"2026-05-18T00:22:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.10182","created_at":"2026-05-18T00:22:05Z"},{"alias_kind":"pith_short_12","alias_value":"E6FASZ2EGB3G","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"E6FASZ2EGB3GLRH2","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"E6FASZ2E","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:3fa13670bbac68472774ab42d7fa0d1514e2f167ae78221c1d1e0a57fa8446a3","target":"graph","created_at":"2026-05-18T00:22:05Z","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":"Synthesizing face sketches from real photos and its inverse have many applications. However, photo/sketch synthesis remains a challenging problem due to the fact that photo and sketch have different characteristics. In this work, we consider this task as an image-to-image translation problem and explore the recently popular generative models (GANs) to generate high-quality realistic photos from sketches and sketches from photos. Recent GAN-based methods have shown promising results on image-to-image translation problems and photo-to-sketch synthesis in particular, however, they are known to ha","authors_text":"Lidan Wang, Vishal M. Patel, Vishwanath A. Sindagi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T14:56:45Z","title":"High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.10182","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":"sha256:74d070b0970ecbd5b0e87da55d9431735942e8bf66d4289e38bdbdb74e18bd77","target":"record","created_at":"2026-05-18T00:22:05Z","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":"30bb4fd68c19f294307449f635918b115a4b36f60041f2889b0249fdc280578f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T14:56:45Z","title_canon_sha256":"3ed39dc05aac794b08fa91ab3bf394acd82ac8d03df1e6e95dd660cd5f543f60"},"schema_version":"1.0","source":{"id":"1710.10182","kind":"arxiv","version":2}},"canonical_sha256":"278a096744307665c4fa3031563b592da49f4adbf9076597b44e6a53243725ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"278a096744307665c4fa3031563b592da49f4adbf9076597b44e6a53243725ca","first_computed_at":"2026-05-18T00:22:05.478030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:05.478030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zEr8RM4WnG2hevNdpYtTxth6daoBlBmD4RffU8Gy4D1GrrVar7vh4hZJzaHfrpNndlj7aUgRKOKyEKiINqkbBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:05.478733Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.10182","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74d070b0970ecbd5b0e87da55d9431735942e8bf66d4289e38bdbdb74e18bd77","sha256:3fa13670bbac68472774ab42d7fa0d1514e2f167ae78221c1d1e0a57fa8446a3"],"state_sha256":"bb23a46c1c0fb4ab5dfbf0ffaf1c00be980d833e7082c2de25995d4513e939a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"en2t1PMJj0XmBISljOCezAffdTF5gPC6guYdl71Xib6olGis+KPemQ8jetweY7JpvAIAs6jPLPgZEtoPNWyfDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T17:36:06.304940Z","bundle_sha256":"f5fe3a1e64fd42dc4ae9d275e3f5ab3fc68e160de20c084def01738a1a163c6c"}}