{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JI6BIQL7NNV37MBV3E2HWIIX6B","short_pith_number":"pith:JI6BIQL7","canonical_record":{"source":{"id":"1710.00756","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-02T16:25:41Z","cross_cats_sorted":[],"title_canon_sha256":"9a2fc8da3008af2416b0f5f0fab7ad6dab711cee7448f920effd64f96a77c282","abstract_canon_sha256":"2ba6d5b936d7d05a6833b73786b20c48b8d229931240ec94a8380d78fb0d0d73"},"schema_version":"1.0"},"canonical_sha256":"4a3c14417f6b6bbfb035d9347b2117f05ae4f666b123948f0001fc00fbcfd2a9","source":{"kind":"arxiv","id":"1710.00756","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.00756","created_at":"2026-05-17T23:58:31Z"},{"alias_kind":"arxiv_version","alias_value":"1710.00756v2","created_at":"2026-05-17T23:58:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.00756","created_at":"2026-05-17T23:58:31Z"},{"alias_kind":"pith_short_12","alias_value":"JI6BIQL7NNV3","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JI6BIQL7NNV37MBV","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JI6BIQL7","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JI6BIQL7NNV37MBV3E2HWIIX6B","target":"record","payload":{"canonical_record":{"source":{"id":"1710.00756","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-02T16:25:41Z","cross_cats_sorted":[],"title_canon_sha256":"9a2fc8da3008af2416b0f5f0fab7ad6dab711cee7448f920effd64f96a77c282","abstract_canon_sha256":"2ba6d5b936d7d05a6833b73786b20c48b8d229931240ec94a8380d78fb0d0d73"},"schema_version":"1.0"},"canonical_sha256":"4a3c14417f6b6bbfb035d9347b2117f05ae4f666b123948f0001fc00fbcfd2a9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:31.156355Z","signature_b64":"TZeThUYj4ibK8LiMb4dHiJuild2MHYecUA56xZ01P571v5nl4NIzxirLtFEDyloJXmvGX1KOn4iKBx2efXI9Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a3c14417f6b6bbfb035d9347b2117f05ae4f666b123948f0001fc00fbcfd2a9","last_reissued_at":"2026-05-17T23:58:31.155649Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:31.155649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.00756","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":"2026-05-17T23:58:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NgfenR2pYWhlalHFjgAverMGaox8Uoq7EUQB5KzutAY44VykDSSow51qrlBKekNUKijq+Vs4anL+yfY1La4SBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:37:14.528305Z"},"content_sha256":"ceefb040001cd7c6fb6673ad890e7a5fcbc9b220642f7099b2726e5ff99e96a3","schema_version":"1.0","event_id":"sha256:ceefb040001cd7c6fb6673ad890e7a5fcbc9b220642f7099b2726e5ff99e96a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JI6BIQL7NNV37MBV3E2HWIIX6B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Progressive Color Transfer with Dense Semantic Correspondences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongdong Chen, Jing Liao, Lu Yuan, Mingming He, Pedro V. Sander","submitted_at":"2017-10-02T16:25:41Z","abstract_excerpt":"We propose a new algorithm for color transfer between images that have perceptually similar semantic structures. We aim to achieve a more accurate color transfer that leverages semantically-meaningful dense correspondence between images. To accomplish this, our algorithm uses neural representations for matching. Additionally, the color transfer should be spatially variant and globally coherent. Therefore, our algorithm optimizes a local linear model for color transfer satisfying both local and global constraints. Our proposed approach jointly optimizes matching and color transfer, adopting a c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.00756","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":"2026-05-17T23:58:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rt+R2wF9Vj2bVw0gqMP2Dgl1GdKVuaY/IUC+W5pUWOcimlxKL4C3xdpw0pTNzLotVAnuKara/NS3TznoLKL6Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:37:14.528784Z"},"content_sha256":"ebf886b298ab4201bd398946874a0bbae2abf7bc1edbd0894dd85083d4f2a73c","schema_version":"1.0","event_id":"sha256:ebf886b298ab4201bd398946874a0bbae2abf7bc1edbd0894dd85083d4f2a73c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JI6BIQL7NNV37MBV3E2HWIIX6B/bundle.json","state_url":"https://pith.science/pith/JI6BIQL7NNV37MBV3E2HWIIX6B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JI6BIQL7NNV37MBV3E2HWIIX6B/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":"2026-05-26T14:37:14Z","links":{"resolver":"https://pith.science/pith/JI6BIQL7NNV37MBV3E2HWIIX6B","bundle":"https://pith.science/pith/JI6BIQL7NNV37MBV3E2HWIIX6B/bundle.json","state":"https://pith.science/pith/JI6BIQL7NNV37MBV3E2HWIIX6B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JI6BIQL7NNV37MBV3E2HWIIX6B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JI6BIQL7NNV37MBV3E2HWIIX6B","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":"2ba6d5b936d7d05a6833b73786b20c48b8d229931240ec94a8380d78fb0d0d73","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-02T16:25:41Z","title_canon_sha256":"9a2fc8da3008af2416b0f5f0fab7ad6dab711cee7448f920effd64f96a77c282"},"schema_version":"1.0","source":{"id":"1710.00756","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.00756","created_at":"2026-05-17T23:58:31Z"},{"alias_kind":"arxiv_version","alias_value":"1710.00756v2","created_at":"2026-05-17T23:58:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.00756","created_at":"2026-05-17T23:58:31Z"},{"alias_kind":"pith_short_12","alias_value":"JI6BIQL7NNV3","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JI6BIQL7NNV37MBV","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JI6BIQL7","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:ebf886b298ab4201bd398946874a0bbae2abf7bc1edbd0894dd85083d4f2a73c","target":"graph","created_at":"2026-05-17T23:58:31Z","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":"We propose a new algorithm for color transfer between images that have perceptually similar semantic structures. We aim to achieve a more accurate color transfer that leverages semantically-meaningful dense correspondence between images. To accomplish this, our algorithm uses neural representations for matching. Additionally, the color transfer should be spatially variant and globally coherent. Therefore, our algorithm optimizes a local linear model for color transfer satisfying both local and global constraints. Our proposed approach jointly optimizes matching and color transfer, adopting a c","authors_text":"Dongdong Chen, Jing Liao, Lu Yuan, Mingming He, Pedro V. Sander","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-02T16:25:41Z","title":"Progressive Color Transfer with Dense Semantic Correspondences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.00756","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:ceefb040001cd7c6fb6673ad890e7a5fcbc9b220642f7099b2726e5ff99e96a3","target":"record","created_at":"2026-05-17T23:58:31Z","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":"2ba6d5b936d7d05a6833b73786b20c48b8d229931240ec94a8380d78fb0d0d73","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-02T16:25:41Z","title_canon_sha256":"9a2fc8da3008af2416b0f5f0fab7ad6dab711cee7448f920effd64f96a77c282"},"schema_version":"1.0","source":{"id":"1710.00756","kind":"arxiv","version":2}},"canonical_sha256":"4a3c14417f6b6bbfb035d9347b2117f05ae4f666b123948f0001fc00fbcfd2a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a3c14417f6b6bbfb035d9347b2117f05ae4f666b123948f0001fc00fbcfd2a9","first_computed_at":"2026-05-17T23:58:31.155649Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:58:31.155649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TZeThUYj4ibK8LiMb4dHiJuild2MHYecUA56xZ01P571v5nl4NIzxirLtFEDyloJXmvGX1KOn4iKBx2efXI9Dg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:58:31.156355Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.00756","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ceefb040001cd7c6fb6673ad890e7a5fcbc9b220642f7099b2726e5ff99e96a3","sha256:ebf886b298ab4201bd398946874a0bbae2abf7bc1edbd0894dd85083d4f2a73c"],"state_sha256":"4282c65fb689cf75ec493b9d1247dab8b97e4dc9e17d6446f8a61112836cf543"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"umqrFJ8QBU1bFzq++NxM15Emt7jThapQSbGgW/Yp1I61Slq1KEVPqDAoNnIiES5pJFFCVETwkKhJWtphkTdbBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T14:37:14.532199Z","bundle_sha256":"eeace5fd2126fb3934856caa83cb3f3838498a348efef8c582e3bfe3a0d351e7"}}