{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KDK6DKP2TCPLZMCDUHUIY6CWGH","short_pith_number":"pith:KDK6DKP2","canonical_record":{"source":{"id":"2506.13756","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T17:58:29Z","cross_cats_sorted":[],"title_canon_sha256":"ff75db745fec93c1cd4d9732c235a2ac9d1f115df6d180c8b7710f766d423336","abstract_canon_sha256":"8a8a686816c3cf57e89ed78f927804056a79949feb1d167fffe2a18fecff9c09"},"schema_version":"1.0"},"canonical_sha256":"50d5e1a9fa989ebcb043a1e88c785631e08666597e0ee737b82a3de546876570","source":{"kind":"arxiv","id":"2506.13756","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13756","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13756v1","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13756","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"pith_short_12","alias_value":"KDK6DKP2TCPL","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"pith_short_16","alias_value":"KDK6DKP2TCPLZMCD","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"pith_short_8","alias_value":"KDK6DKP2","created_at":"2026-07-05T11:44:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KDK6DKP2TCPLZMCDUHUIY6CWGH","target":"record","payload":{"canonical_record":{"source":{"id":"2506.13756","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T17:58:29Z","cross_cats_sorted":[],"title_canon_sha256":"ff75db745fec93c1cd4d9732c235a2ac9d1f115df6d180c8b7710f766d423336","abstract_canon_sha256":"8a8a686816c3cf57e89ed78f927804056a79949feb1d167fffe2a18fecff9c09"},"schema_version":"1.0"},"canonical_sha256":"50d5e1a9fa989ebcb043a1e88c785631e08666597e0ee737b82a3de546876570","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:07.448277Z","signature_b64":"9ujZQeUlfipL3gqb4T1hbMcQUj5Gx7oqhbKsC/qeOeu/zk6HFJJ/cx//YUHQL1q4bm8mpH4acGW28w+onZ/4Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50d5e1a9fa989ebcb043a1e88c785631e08666597e0ee737b82a3de546876570","last_reissued_at":"2026-07-05T11:44:07.447779Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:07.447779Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.13756","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:44:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sFVM6L36Sr4eDJxQT2pKyow2B8FU6YgWKB4wvVYnTAC5sMuBcoqnhPxO615OhULOGzmGZgeYSOp1HztuHe3kAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:54:06.584199Z"},"content_sha256":"53db2f7192eceb27ee1ab2f3b1be76c01e8c1b6f5c420083f7f06be0a8c5c86e","schema_version":"1.0","event_id":"sha256:53db2f7192eceb27ee1ab2f3b1be76c01e8c1b6f5c420083f7f06be0a8c5c86e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KDK6DKP2TCPLZMCDUHUIY6CWGH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UltraZoom: Generating Gigapixel Images from Regular Photos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Brian Curless, Ira Kemelmacher-Shlizerman, Jingwei Ma, Steven M. Seitz, Vivek Jayaram","submitted_at":"2025-06-16T17:58:29Z","abstract_excerpt":"We present UltraZoom, a system for generating gigapixel-resolution images of objects from casually captured inputs, such as handheld phone photos. Given a full-shot image (global, low-detail) and one or more close-ups (local, high-detail), UltraZoom upscales the full image to match the fine detail and scale of the close-up examples. To achieve this, we construct a per-instance paired dataset from the close-ups and adapt a pretrained generative model to learn object-specific low-to-high resolution mappings. At inference, we apply the model in a sliding window fashion over the full image. Constr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13756","kind":"arxiv","version":1},"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/2506.13756/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":"2026-07-05T11:44:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wH1BEZZctTFS2071IUnqVAwABkO/idCuTIh8OeFnfWxA3wtgThA0ItwWOnaV0LcjwkxivgNvcbPHYsXnK/xJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:54:06.584688Z"},"content_sha256":"ddb3df8fd88133cbcbd0bc44acdd0f7b0538b7de3c88b27f455203fc10e73b8d","schema_version":"1.0","event_id":"sha256:ddb3df8fd88133cbcbd0bc44acdd0f7b0538b7de3c88b27f455203fc10e73b8d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KDK6DKP2TCPLZMCDUHUIY6CWGH/bundle.json","state_url":"https://pith.science/pith/KDK6DKP2TCPLZMCDUHUIY6CWGH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KDK6DKP2TCPLZMCDUHUIY6CWGH/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":"2026-08-07T10:54:06Z","links":{"resolver":"https://pith.science/pith/KDK6DKP2TCPLZMCDUHUIY6CWGH","bundle":"https://pith.science/pith/KDK6DKP2TCPLZMCDUHUIY6CWGH/bundle.json","state":"https://pith.science/pith/KDK6DKP2TCPLZMCDUHUIY6CWGH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KDK6DKP2TCPLZMCDUHUIY6CWGH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KDK6DKP2TCPLZMCDUHUIY6CWGH","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":"8a8a686816c3cf57e89ed78f927804056a79949feb1d167fffe2a18fecff9c09","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T17:58:29Z","title_canon_sha256":"ff75db745fec93c1cd4d9732c235a2ac9d1f115df6d180c8b7710f766d423336"},"schema_version":"1.0","source":{"id":"2506.13756","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13756","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13756v1","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13756","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"pith_short_12","alias_value":"KDK6DKP2TCPL","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"pith_short_16","alias_value":"KDK6DKP2TCPLZMCD","created_at":"2026-07-05T11:44:07Z"},{"alias_kind":"pith_short_8","alias_value":"KDK6DKP2","created_at":"2026-07-05T11:44:07Z"}],"graph_snapshots":[{"event_id":"sha256:ddb3df8fd88133cbcbd0bc44acdd0f7b0538b7de3c88b27f455203fc10e73b8d","target":"graph","created_at":"2026-07-05T11:44:07Z","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/2506.13756/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present UltraZoom, a system for generating gigapixel-resolution images of objects from casually captured inputs, such as handheld phone photos. Given a full-shot image (global, low-detail) and one or more close-ups (local, high-detail), UltraZoom upscales the full image to match the fine detail and scale of the close-up examples. To achieve this, we construct a per-instance paired dataset from the close-ups and adapt a pretrained generative model to learn object-specific low-to-high resolution mappings. At inference, we apply the model in a sliding window fashion over the full image. Constr","authors_text":"Brian Curless, Ira Kemelmacher-Shlizerman, Jingwei Ma, Steven M. Seitz, Vivek Jayaram","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T17:58:29Z","title":"UltraZoom: Generating Gigapixel Images from Regular Photos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13756","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":"sha256:53db2f7192eceb27ee1ab2f3b1be76c01e8c1b6f5c420083f7f06be0a8c5c86e","target":"record","created_at":"2026-07-05T11:44:07Z","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":"8a8a686816c3cf57e89ed78f927804056a79949feb1d167fffe2a18fecff9c09","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T17:58:29Z","title_canon_sha256":"ff75db745fec93c1cd4d9732c235a2ac9d1f115df6d180c8b7710f766d423336"},"schema_version":"1.0","source":{"id":"2506.13756","kind":"arxiv","version":1}},"canonical_sha256":"50d5e1a9fa989ebcb043a1e88c785631e08666597e0ee737b82a3de546876570","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50d5e1a9fa989ebcb043a1e88c785631e08666597e0ee737b82a3de546876570","first_computed_at":"2026-07-05T11:44:07.447779Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:07.447779Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9ujZQeUlfipL3gqb4T1hbMcQUj5Gx7oqhbKsC/qeOeu/zk6HFJJ/cx//YUHQL1q4bm8mpH4acGW28w+onZ/4Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:07.448277Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13756","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53db2f7192eceb27ee1ab2f3b1be76c01e8c1b6f5c420083f7f06be0a8c5c86e","sha256:ddb3df8fd88133cbcbd0bc44acdd0f7b0538b7de3c88b27f455203fc10e73b8d"],"state_sha256":"a37d288b19d6e399be8afc8734434b70efd4964fc6d84130d3bcde0bab4d1209"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WGP/g6I2f50TIPrI5r91vqx0tvooZeRpq93R9fJtG9mDhfDQIljR300Wk/jCMcz3z5r6F5HRiYIoy91XKAchBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:54:06.589213Z","bundle_sha256":"dedd1626680c4d036cce7c75f40520607e1c335b6cc857169f66c068bee951c7"}}