{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ED3GLWLSKYOQGQQPYX7WF4LYOZ","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":"cc3c5b3c747a4294db76464c4eda8819268d3e35dae7b94c511f21549f19c6e6","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-18T17:59:11Z","title_canon_sha256":"33e58ec468d0fabddfbc2b3631692a4e8a555963b9f59f5436adf4e5c83068ca"},"schema_version":"1.0","source":{"id":"2103.10428","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.10428","created_at":"2026-07-05T02:24:26Z"},{"alias_kind":"arxiv_version","alias_value":"2103.10428v1","created_at":"2026-07-05T02:24:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.10428","created_at":"2026-07-05T02:24:26Z"},{"alias_kind":"pith_short_12","alias_value":"ED3GLWLSKYOQ","created_at":"2026-07-05T02:24:26Z"},{"alias_kind":"pith_short_16","alias_value":"ED3GLWLSKYOQGQQP","created_at":"2026-07-05T02:24:26Z"},{"alias_kind":"pith_short_8","alias_value":"ED3GLWLS","created_at":"2026-07-05T02:24:26Z"}],"graph_snapshots":[{"event_id":"sha256:2d7cb347295c0af0bb5c2f92732cf1b960843eaa5f558d4b751265531ab90ee2","target":"graph","created_at":"2026-07-05T02:24:26Z","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/2103.10428/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Numerous task-specific variants of conditional generative adversarial networks have been developed for image completion. Yet, a serious limitation remains that all existing algorithms tend to fail when handling large-scale missing regions. To overcome this challenge, we propose a generic new approach that bridges the gap between image-conditional and recent modulated unconditional generative architectures via co-modulation of both conditional and stochastic style representations. Also, due to the lack of good quantitative metrics for image completion, we propose the new Paired/Unpaired Incepti","authors_text":"Eric I Chang, Jonathan Cui, Shengyu Zhao, Xiao Liang, Yan Xu, Yilun Sheng, Yue Dong","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-18T17:59:11Z","title":"Large Scale Image Completion via Co-Modulated Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.10428","kind":"arxiv","version":1},"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:cfdf9e184130dabb095cf1aac20a2f090962e9b8eaa689019a97e69c220881b6","target":"record","created_at":"2026-07-05T02:24:26Z","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":"cc3c5b3c747a4294db76464c4eda8819268d3e35dae7b94c511f21549f19c6e6","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-18T17:59:11Z","title_canon_sha256":"33e58ec468d0fabddfbc2b3631692a4e8a555963b9f59f5436adf4e5c83068ca"},"schema_version":"1.0","source":{"id":"2103.10428","kind":"arxiv","version":1}},"canonical_sha256":"20f665d972561d03420fc5ff62f178764b4d4319eb3cfe30337541d601587888","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20f665d972561d03420fc5ff62f178764b4d4319eb3cfe30337541d601587888","first_computed_at":"2026-07-05T02:24:26.346353Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:24:26.346353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dM9EMHLZlnC/0whzHc3pGAOuaKHgXfewTXqufZ5F3kmga3SVNOmsXay9ZlRVv9r+ADHJdfQSqFGyE927O+rSBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:24:26.346837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.10428","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cfdf9e184130dabb095cf1aac20a2f090962e9b8eaa689019a97e69c220881b6","sha256:2d7cb347295c0af0bb5c2f92732cf1b960843eaa5f558d4b751265531ab90ee2"],"state_sha256":"d3a8f579b823fe127c25e577c304df2ce1c3dd61a237219a2d76935c2d363065"}