{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:WCSZ54NYWNI5LVMGPHIIFQC72U","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":"b3f154fe4d23261b6b9fa55588b60f2bdee0a3c8afa7c958c10079faae357670","cross_cats_sorted":["cs.CV","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-20T07:18:39Z","title_canon_sha256":"970afbf4fd0a7bab8af78d1c94b8b2ca69580bcc8910045b77960da59e4e53e2"},"schema_version":"1.0","source":{"id":"1909.09349","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.09349","created_at":"2026-07-05T00:09:16Z"},{"alias_kind":"arxiv_version","alias_value":"1909.09349v2","created_at":"2026-07-05T00:09:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.09349","created_at":"2026-07-05T00:09:16Z"},{"alias_kind":"pith_short_12","alias_value":"WCSZ54NYWNI5","created_at":"2026-07-05T00:09:16Z"},{"alias_kind":"pith_short_16","alias_value":"WCSZ54NYWNI5LVMG","created_at":"2026-07-05T00:09:16Z"},{"alias_kind":"pith_short_8","alias_value":"WCSZ54NY","created_at":"2026-07-05T00:09:16Z"}],"graph_snapshots":[{"event_id":"sha256:cc1c6b313f63b8a289e7813522042b05acafc4e4a2e77ab9ad2f79b527e80bbf","target":"graph","created_at":"2026-07-05T00:09:16Z","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/1909.09349/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The 3D-zoom operation is the positive translation of the camera in the Z-axis, perpendicular to the image plane. In contrast, the optical zoom changes the focal length and the digital zoom is used to enlarge a certain region of an image to the original image size. In this paper, we are the first to formulate an unsupervised 3D-zoom learning problem where images with an arbitrary zoom factor can be generated from a given single image. An unsupervised framework is convenient, as it is a challenging task to obtain a 3D-zoom dataset of natural scenes due to the need for special equipment to ensure","authors_text":"Juan Luis Gonzalez Bello, Munchurl Kim","cross_cats":["cs.CV","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-20T07:18:39Z","title":"Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.09349","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:bb8c837b5209b856066e4566074147dc84f1305b44b0ee346e7f82fdbb9f59b7","target":"record","created_at":"2026-07-05T00:09:16Z","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":"b3f154fe4d23261b6b9fa55588b60f2bdee0a3c8afa7c958c10079faae357670","cross_cats_sorted":["cs.CV","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-20T07:18:39Z","title_canon_sha256":"970afbf4fd0a7bab8af78d1c94b8b2ca69580bcc8910045b77960da59e4e53e2"},"schema_version":"1.0","source":{"id":"1909.09349","kind":"arxiv","version":2}},"canonical_sha256":"b0a59ef1b8b351d5d58679d082c05fd50e21724d04523e7dbe3506ef964cbfcc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0a59ef1b8b351d5d58679d082c05fd50e21724d04523e7dbe3506ef964cbfcc","first_computed_at":"2026-07-05T00:09:16.770713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:09:16.770713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"egwkFIVtRGLm97wPZn3mlRMnF5QuFwFA+f/OsNuBaw/jtDd41BdFbo1bL+Ux4TKzaqU76vPlVeNMCK5fpwQkDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:09:16.771095Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.09349","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb8c837b5209b856066e4566074147dc84f1305b44b0ee346e7f82fdbb9f59b7","sha256:cc1c6b313f63b8a289e7813522042b05acafc4e4a2e77ab9ad2f79b527e80bbf"],"state_sha256":"8ba1a0567bc45e4274d1ac617213b8a2fa53495180e27aa91ce166c3579951ae"}