{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:6DTMJFPU5ADGDXHOBPNLFGCLEV","short_pith_number":"pith:6DTMJFPU","canonical_record":{"source":{"id":"1708.09105","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-30T04:17:16Z","cross_cats_sorted":[],"title_canon_sha256":"670bd7c00789a27fbff669b1cccb3dc8e314ec4d75cdf32b54be11490b891660","abstract_canon_sha256":"0ccefd602e4439a62c105d0a81dc10fbafca1b4156fb50ffdc82343e5e7ee829"},"schema_version":"1.0"},"canonical_sha256":"f0e6c495f4e80661dcee0bdab2984b25643dad7b13204a1327017b6c09bef82b","source":{"kind":"arxiv","id":"1708.09105","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.09105","created_at":"2026-05-17T23:59:43Z"},{"alias_kind":"arxiv_version","alias_value":"1708.09105v3","created_at":"2026-05-17T23:59:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.09105","created_at":"2026-05-17T23:59:43Z"},{"alias_kind":"pith_short_12","alias_value":"6DTMJFPU5ADG","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6DTMJFPU5ADGDXHO","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6DTMJFPU","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:6DTMJFPU5ADGDXHOBPNLFGCLEV","target":"record","payload":{"canonical_record":{"source":{"id":"1708.09105","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-30T04:17:16Z","cross_cats_sorted":[],"title_canon_sha256":"670bd7c00789a27fbff669b1cccb3dc8e314ec4d75cdf32b54be11490b891660","abstract_canon_sha256":"0ccefd602e4439a62c105d0a81dc10fbafca1b4156fb50ffdc82343e5e7ee829"},"schema_version":"1.0"},"canonical_sha256":"f0e6c495f4e80661dcee0bdab2984b25643dad7b13204a1327017b6c09bef82b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:43.946638Z","signature_b64":"8HHUMP2EVSuqKhma8ihDpOBdkQBNX0TF7UbAr7PFsSwgxdOA4t3F/N76Z3VN37uxw/11b2Nvg1Ndz8OVhs3CBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0e6c495f4e80661dcee0bdab2984b25643dad7b13204a1327017b6c09bef82b","last_reissued_at":"2026-05-17T23:59:43.946206Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:43.946206Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.09105","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":"2026-05-17T23:59:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"54FRYx3gApNkzbQsnxiciTXao9KOTOD6i6IUkHETUZ/l4BxpjexEboERuXICTzo2l8eKA5ttEM2OX3Po9zz+Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T10:22:41.100814Z"},"content_sha256":"7e327709ec8c964b9ef9b90e06c3ecdab957475efb4911f697c09df5cb0376af","schema_version":"1.0","event_id":"sha256:7e327709ec8c964b9ef9b90e06c3ecdab957475efb4911f697c09df5cb0376af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:6DTMJFPU5ADGDXHOBPNLFGCLEV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anhong Wang, Bing Zeng, Huihui Bai, Jie Liang, Lijun Zhao, Yao Zhao","submitted_at":"2017-08-30T04:17:16Z","abstract_excerpt":"Recently, Generative Adversarial Network (GAN) has been found wide applications in style transfer, image-to-image translation and image super-resolution. In this paper, a color-depth conditional GAN is proposed to concurrently resolve the problems of depth super-resolution and color super-resolution in 3D videos. Firstly, given the low-resolution depth image and low-resolution color image, a generative network is proposed to leverage mutual information of color image and depth image to enhance each other in consideration of the geometry structural dependency of color-depth image in the same sc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.09105","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":""},"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":"2026-05-17T23:59:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SoiJ0FHacuQPZkmj8WTtZhetkL0qu8r9kUDzuGj0ZWHs2zKld/sPYxngBm64N00iqWkGrP6javbBaA5ClO1vBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T10:22:41.101289Z"},"content_sha256":"1630328a77dc59f58118ee51207804bbb4e4e5d105ec0ab4f8a713f30987e283","schema_version":"1.0","event_id":"sha256:1630328a77dc59f58118ee51207804bbb4e4e5d105ec0ab4f8a713f30987e283"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6DTMJFPU5ADGDXHOBPNLFGCLEV/bundle.json","state_url":"https://pith.science/pith/6DTMJFPU5ADGDXHOBPNLFGCLEV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6DTMJFPU5ADGDXHOBPNLFGCLEV/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":"2026-06-01T10:22:41Z","links":{"resolver":"https://pith.science/pith/6DTMJFPU5ADGDXHOBPNLFGCLEV","bundle":"https://pith.science/pith/6DTMJFPU5ADGDXHOBPNLFGCLEV/bundle.json","state":"https://pith.science/pith/6DTMJFPU5ADGDXHOBPNLFGCLEV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6DTMJFPU5ADGDXHOBPNLFGCLEV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6DTMJFPU5ADGDXHOBPNLFGCLEV","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":"0ccefd602e4439a62c105d0a81dc10fbafca1b4156fb50ffdc82343e5e7ee829","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-30T04:17:16Z","title_canon_sha256":"670bd7c00789a27fbff669b1cccb3dc8e314ec4d75cdf32b54be11490b891660"},"schema_version":"1.0","source":{"id":"1708.09105","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.09105","created_at":"2026-05-17T23:59:43Z"},{"alias_kind":"arxiv_version","alias_value":"1708.09105v3","created_at":"2026-05-17T23:59:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.09105","created_at":"2026-05-17T23:59:43Z"},{"alias_kind":"pith_short_12","alias_value":"6DTMJFPU5ADG","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6DTMJFPU5ADGDXHO","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6DTMJFPU","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:1630328a77dc59f58118ee51207804bbb4e4e5d105ec0ab4f8a713f30987e283","target":"graph","created_at":"2026-05-17T23:59:43Z","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":"Recently, Generative Adversarial Network (GAN) has been found wide applications in style transfer, image-to-image translation and image super-resolution. In this paper, a color-depth conditional GAN is proposed to concurrently resolve the problems of depth super-resolution and color super-resolution in 3D videos. Firstly, given the low-resolution depth image and low-resolution color image, a generative network is proposed to leverage mutual information of color image and depth image to enhance each other in consideration of the geometry structural dependency of color-depth image in the same sc","authors_text":"Anhong Wang, Bing Zeng, Huihui Bai, Jie Liang, Lijun Zhao, Yao Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-30T04:17:16Z","title":"Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.09105","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":"sha256:7e327709ec8c964b9ef9b90e06c3ecdab957475efb4911f697c09df5cb0376af","target":"record","created_at":"2026-05-17T23:59:43Z","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":"0ccefd602e4439a62c105d0a81dc10fbafca1b4156fb50ffdc82343e5e7ee829","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-30T04:17:16Z","title_canon_sha256":"670bd7c00789a27fbff669b1cccb3dc8e314ec4d75cdf32b54be11490b891660"},"schema_version":"1.0","source":{"id":"1708.09105","kind":"arxiv","version":3}},"canonical_sha256":"f0e6c495f4e80661dcee0bdab2984b25643dad7b13204a1327017b6c09bef82b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0e6c495f4e80661dcee0bdab2984b25643dad7b13204a1327017b6c09bef82b","first_computed_at":"2026-05-17T23:59:43.946206Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:43.946206Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8HHUMP2EVSuqKhma8ihDpOBdkQBNX0TF7UbAr7PFsSwgxdOA4t3F/N76Z3VN37uxw/11b2Nvg1Ndz8OVhs3CBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:43.946638Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.09105","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e327709ec8c964b9ef9b90e06c3ecdab957475efb4911f697c09df5cb0376af","sha256:1630328a77dc59f58118ee51207804bbb4e4e5d105ec0ab4f8a713f30987e283"],"state_sha256":"cd99d5b99c926c95d8900307999a35e00d0c1eea4e70c4190f2c7ee6e46cacdc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GnGXjbS1rojstTp1YcTCD47D+KoSgBNSxVqyp6AV1N2GUValo1jewgJT3c5ydWgBjayVON9RkoMGPF6CkB01Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T10:22:41.103257Z","bundle_sha256":"08ead0d8e00de4c732a3ece5218f63962567c4a324ecae3388a7c9edc223809c"}}