{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SLC6JRCMLFP3I5OZF25A57YCY3","short_pith_number":"pith:SLC6JRCM","canonical_record":{"source":{"id":"2003.13898","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-31T01:23:21Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"73854f5439725a4558235f78304d6721a3fe3e9ad72bbca5bb00c82c8ede0059","abstract_canon_sha256":"f6415307f06798dd9f7a43159b037be8d78e944e4c6de9855a1c91ec072059ec"},"schema_version":"1.0"},"canonical_sha256":"92c5e4c44c595fb475d92eba0eff02c6c9a739c936b1535f03e53620ff2b2a60","source":{"kind":"arxiv","id":"2003.13898","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.13898","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"arxiv_version","alias_value":"2003.13898v3","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.13898","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"pith_short_12","alias_value":"SLC6JRCMLFP3","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"pith_short_16","alias_value":"SLC6JRCMLFP3I5OZ","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"pith_short_8","alias_value":"SLC6JRCM","created_at":"2026-07-05T05:55:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SLC6JRCMLFP3I5OZF25A57YCY3","target":"record","payload":{"canonical_record":{"source":{"id":"2003.13898","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-31T01:23:21Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"73854f5439725a4558235f78304d6721a3fe3e9ad72bbca5bb00c82c8ede0059","abstract_canon_sha256":"f6415307f06798dd9f7a43159b037be8d78e944e4c6de9855a1c91ec072059ec"},"schema_version":"1.0"},"canonical_sha256":"92c5e4c44c595fb475d92eba0eff02c6c9a739c936b1535f03e53620ff2b2a60","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:55:05.712820Z","signature_b64":"GBLAUR2MJ2tHRcWabVcJMk3MWTG/zp3ZnwfWVZeu2RHMJmRnP0UEaxHQUtM+KIa7i07t+Mt84UVgJC9SF0dlAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92c5e4c44c595fb475d92eba0eff02c6c9a739c936b1535f03e53620ff2b2a60","last_reissued_at":"2026-07-05T05:55:05.712411Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:55:05.712411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.13898","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":"2026-07-05T05:55:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9mLuejN/azZlntYjIDPijZ2tF5iNwaTXYrqDFuKFCgUfRuhiyZBN3KZkCXchu1y64i6p+Ha1rGMg6aLNHsK0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:04:18.253056Z"},"content_sha256":"8a8a191d13eb1d4dbdad8f93806b6a555c71ae4958f2cfce3bb7428ca42d884b","schema_version":"1.0","event_id":"sha256:8a8a191d13eb1d4dbdad8f93806b6a555c71ae4958f2cfce3bb7428ca42d884b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SLC6JRCMLFP3I5OZF25A57YCY3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Dan Xu, Guolei Sun, Hao Tang, Luc Van Gool, Nicu Sebe, Radu Timofte, Xiaojuan Qi","submitted_at":"2020-03-31T01:23:21Z","abstract_excerpt":"We propose a novel ECGAN for the challenging semantic image synthesis task. Although considerable improvement has been achieved, the quality of synthesized images is far from satisfactory due to three largely unresolved challenges. 1) The semantic labels do not provide detailed structural information, making it difficult to synthesize local details and structures. 2) The widely adopted CNN operations such as convolution, down-sampling, and normalization usually cause spatial resolution loss and thus cannot fully preserve the original semantic information, leading to semantically inconsistent r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.13898","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/2003.13898/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":"2026-07-05T05:55:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZQ3oaBgejcp0IwAzh3aAnZkWKo3okl47CZGgqJg4jSAHGhiM2BN08Rmbf/+im36Prh4fgRo8l/h6sXo5SoRrDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:04:18.253559Z"},"content_sha256":"49938dd4e5fc273a005839f21a3f6cab60ce14f1139fe65e7680efb95f4c4c5a","schema_version":"1.0","event_id":"sha256:49938dd4e5fc273a005839f21a3f6cab60ce14f1139fe65e7680efb95f4c4c5a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SLC6JRCMLFP3I5OZF25A57YCY3/bundle.json","state_url":"https://pith.science/pith/SLC6JRCMLFP3I5OZF25A57YCY3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SLC6JRCMLFP3I5OZF25A57YCY3/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":"2026-08-07T06:04:18Z","links":{"resolver":"https://pith.science/pith/SLC6JRCMLFP3I5OZF25A57YCY3","bundle":"https://pith.science/pith/SLC6JRCMLFP3I5OZF25A57YCY3/bundle.json","state":"https://pith.science/pith/SLC6JRCMLFP3I5OZF25A57YCY3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SLC6JRCMLFP3I5OZF25A57YCY3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SLC6JRCMLFP3I5OZF25A57YCY3","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":"f6415307f06798dd9f7a43159b037be8d78e944e4c6de9855a1c91ec072059ec","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-31T01:23:21Z","title_canon_sha256":"73854f5439725a4558235f78304d6721a3fe3e9ad72bbca5bb00c82c8ede0059"},"schema_version":"1.0","source":{"id":"2003.13898","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.13898","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"arxiv_version","alias_value":"2003.13898v3","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.13898","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"pith_short_12","alias_value":"SLC6JRCMLFP3","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"pith_short_16","alias_value":"SLC6JRCMLFP3I5OZ","created_at":"2026-07-05T05:55:05Z"},{"alias_kind":"pith_short_8","alias_value":"SLC6JRCM","created_at":"2026-07-05T05:55:05Z"}],"graph_snapshots":[{"event_id":"sha256:49938dd4e5fc273a005839f21a3f6cab60ce14f1139fe65e7680efb95f4c4c5a","target":"graph","created_at":"2026-07-05T05:55:05Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2003.13898/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel ECGAN for the challenging semantic image synthesis task. Although considerable improvement has been achieved, the quality of synthesized images is far from satisfactory due to three largely unresolved challenges. 1) The semantic labels do not provide detailed structural information, making it difficult to synthesize local details and structures. 2) The widely adopted CNN operations such as convolution, down-sampling, and normalization usually cause spatial resolution loss and thus cannot fully preserve the original semantic information, leading to semantically inconsistent r","authors_text":"Dan Xu, Guolei Sun, Hao Tang, Luc Van Gool, Nicu Sebe, Radu Timofte, Xiaojuan Qi","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-31T01:23:21Z","title":"Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.13898","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":"sha256:8a8a191d13eb1d4dbdad8f93806b6a555c71ae4958f2cfce3bb7428ca42d884b","target":"record","created_at":"2026-07-05T05:55:05Z","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":"f6415307f06798dd9f7a43159b037be8d78e944e4c6de9855a1c91ec072059ec","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-31T01:23:21Z","title_canon_sha256":"73854f5439725a4558235f78304d6721a3fe3e9ad72bbca5bb00c82c8ede0059"},"schema_version":"1.0","source":{"id":"2003.13898","kind":"arxiv","version":3}},"canonical_sha256":"92c5e4c44c595fb475d92eba0eff02c6c9a739c936b1535f03e53620ff2b2a60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92c5e4c44c595fb475d92eba0eff02c6c9a739c936b1535f03e53620ff2b2a60","first_computed_at":"2026-07-05T05:55:05.712411Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:55:05.712411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GBLAUR2MJ2tHRcWabVcJMk3MWTG/zp3ZnwfWVZeu2RHMJmRnP0UEaxHQUtM+KIa7i07t+Mt84UVgJC9SF0dlAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:55:05.712820Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.13898","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a8a191d13eb1d4dbdad8f93806b6a555c71ae4958f2cfce3bb7428ca42d884b","sha256:49938dd4e5fc273a005839f21a3f6cab60ce14f1139fe65e7680efb95f4c4c5a"],"state_sha256":"9fa8ec294bf4098618a05a42b68480d6cd5db21a569f30e1883480a8bde22e50"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PZC6gg0X75e7WkBTFSNYCHaVLAZPJQD4W8jG9gfaqpFK57O2Qp2RHcviakdD/m493QhEaECDSIzYm1VWldGYDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:04:18.257348Z","bundle_sha256":"1c42115249fe33f0dfb9be277dcbe238662a2d292a6d11631148b283170cdb0b"}}