{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YNMOCX7BYUTFBOWJPE2LF7OM62","short_pith_number":"pith:YNMOCX7B","canonical_record":{"source":{"id":"2605.22467","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T13:27:15Z","cross_cats_sorted":[],"title_canon_sha256":"b72af0d6c93ae3eb4236a000519b89dd494aa9471a1c86602303d4e8310a3360","abstract_canon_sha256":"a424b83bbfd945eba35370d764a5f4a03bfaa595b7d18693ef4e4fae6529a3ec"},"schema_version":"1.0"},"canonical_sha256":"c358e15fe1c52650bac97934b2fdccf6b7cc19e6b448c68a1a3e8f6d3ca11166","source":{"kind":"arxiv","id":"2605.22467","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22467","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22467v1","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22467","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"YNMOCX7BYUTF","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"YNMOCX7BYUTFBOWJ","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"YNMOCX7B","created_at":"2026-05-22T01:04:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YNMOCX7BYUTFBOWJPE2LF7OM62","target":"record","payload":{"canonical_record":{"source":{"id":"2605.22467","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T13:27:15Z","cross_cats_sorted":[],"title_canon_sha256":"b72af0d6c93ae3eb4236a000519b89dd494aa9471a1c86602303d4e8310a3360","abstract_canon_sha256":"a424b83bbfd945eba35370d764a5f4a03bfaa595b7d18693ef4e4fae6529a3ec"},"schema_version":"1.0"},"canonical_sha256":"c358e15fe1c52650bac97934b2fdccf6b7cc19e6b448c68a1a3e8f6d3ca11166","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:44.254499Z","signature_b64":"T5z+uGMEsAzfQJmUWY5SCMObA9R3FZVF63ygSmE1WYDsrDkiOEpRqwP2jw834eoiyEXOVYfeQnv65TfZQSStDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c358e15fe1c52650bac97934b2fdccf6b7cc19e6b448c68a1a3e8f6d3ca11166","last_reissued_at":"2026-05-22T01:04:44.253873Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:44.253873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.22467","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":"2026-05-22T01:04:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dqwHhER9JPjoSD7h8NyKupKH1GFgavinLkAaTw5U1RfKhczLjK60LzFgTcEw4fxbwL2jNUdjJgTf0gqN9XNNDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T21:36:08.057291Z"},"content_sha256":"ec78c0049cbba0783ba4a9341f8b25e6bf54ca4d16ba4622a4bb47769c5fbccb","schema_version":"1.0","event_id":"sha256:ec78c0049cbba0783ba4a9341f8b25e6bf54ca4d16ba4622a4bb47769c5fbccb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YNMOCX7BYUTFBOWJPE2LF7OM62","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bartosz Kotrys, Dominik Michels, Patryk Bartkowiak, Soren Pirk, Wojtek Palubicki","submitted_at":"2026-05-21T13:27:15Z","abstract_excerpt":"We propose SADGE, a quantitative similarity metric that predicts the performance of synthetic image datasets for common computer vision tasks without downstream model training. Estimating whether a synthetic dataset will lead to a model that performs well on real-world data remains a bottleneck in model development. Existing evaluation metrics (e.g., PSNR, FID, CLIP) primarily measure semantic alignment between real and synthetic images (Appearance Similarity Score). Less commonly, structural similarity between images is considered to assess the domain gap (Geometric Similarity Score). However"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22467","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/2605.22467/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":"2026-05-22T01:04:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wt17LwRYglV6Ar/rcyVnIasKQbxiSctc6N4vvmnp/dDoAFBQcrdsoffsxG6vZBzxEC9I1RbvXxUovSjxRh7nCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T21:36:08.058059Z"},"content_sha256":"3c992bbb360c8b6ab02d3385c9c4ee6d7aff4c3fa06f37c8aa63f3d3a483db44","schema_version":"1.0","event_id":"sha256:3c992bbb360c8b6ab02d3385c9c4ee6d7aff4c3fa06f37c8aa63f3d3a483db44"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YNMOCX7BYUTFBOWJPE2LF7OM62/bundle.json","state_url":"https://pith.science/pith/YNMOCX7BYUTFBOWJPE2LF7OM62/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YNMOCX7BYUTFBOWJPE2LF7OM62/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":"2026-05-23T21:36:08Z","links":{"resolver":"https://pith.science/pith/YNMOCX7BYUTFBOWJPE2LF7OM62","bundle":"https://pith.science/pith/YNMOCX7BYUTFBOWJPE2LF7OM62/bundle.json","state":"https://pith.science/pith/YNMOCX7BYUTFBOWJPE2LF7OM62/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YNMOCX7BYUTFBOWJPE2LF7OM62/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YNMOCX7BYUTFBOWJPE2LF7OM62","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":"a424b83bbfd945eba35370d764a5f4a03bfaa595b7d18693ef4e4fae6529a3ec","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T13:27:15Z","title_canon_sha256":"b72af0d6c93ae3eb4236a000519b89dd494aa9471a1c86602303d4e8310a3360"},"schema_version":"1.0","source":{"id":"2605.22467","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22467","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22467v1","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22467","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"YNMOCX7BYUTF","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"YNMOCX7BYUTFBOWJ","created_at":"2026-05-22T01:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"YNMOCX7B","created_at":"2026-05-22T01:04:44Z"}],"graph_snapshots":[{"event_id":"sha256:3c992bbb360c8b6ab02d3385c9c4ee6d7aff4c3fa06f37c8aa63f3d3a483db44","target":"graph","created_at":"2026-05-22T01:04:44Z","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/2605.22467/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose SADGE, a quantitative similarity metric that predicts the performance of synthetic image datasets for common computer vision tasks without downstream model training. Estimating whether a synthetic dataset will lead to a model that performs well on real-world data remains a bottleneck in model development. Existing evaluation metrics (e.g., PSNR, FID, CLIP) primarily measure semantic alignment between real and synthetic images (Appearance Similarity Score). Less commonly, structural similarity between images is considered to assess the domain gap (Geometric Similarity Score). However","authors_text":"Bartosz Kotrys, Dominik Michels, Patryk Bartkowiak, Soren Pirk, Wojtek Palubicki","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T13:27:15Z","title":"SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22467","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:ec78c0049cbba0783ba4a9341f8b25e6bf54ca4d16ba4622a4bb47769c5fbccb","target":"record","created_at":"2026-05-22T01:04:44Z","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":"a424b83bbfd945eba35370d764a5f4a03bfaa595b7d18693ef4e4fae6529a3ec","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T13:27:15Z","title_canon_sha256":"b72af0d6c93ae3eb4236a000519b89dd494aa9471a1c86602303d4e8310a3360"},"schema_version":"1.0","source":{"id":"2605.22467","kind":"arxiv","version":1}},"canonical_sha256":"c358e15fe1c52650bac97934b2fdccf6b7cc19e6b448c68a1a3e8f6d3ca11166","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c358e15fe1c52650bac97934b2fdccf6b7cc19e6b448c68a1a3e8f6d3ca11166","first_computed_at":"2026-05-22T01:04:44.253873Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:04:44.253873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T5z+uGMEsAzfQJmUWY5SCMObA9R3FZVF63ygSmE1WYDsrDkiOEpRqwP2jw834eoiyEXOVYfeQnv65TfZQSStDQ==","signature_status":"signed_v1","signed_at":"2026-05-22T01:04:44.254499Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22467","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec78c0049cbba0783ba4a9341f8b25e6bf54ca4d16ba4622a4bb47769c5fbccb","sha256:3c992bbb360c8b6ab02d3385c9c4ee6d7aff4c3fa06f37c8aa63f3d3a483db44"],"state_sha256":"4315b6815c2cc5cde7c398eef16102e068b8c4e2136822572b6610f582bfaf06"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FxfGt5gfQ7xrodeW4eprdJifrDYfLA91H5bPaq76zrf1DvtUQ6NTB0ij7NY1qO/00X9e2vy2vAyP5PbW4VozAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T21:36:08.064138Z","bundle_sha256":"653d3de6611131ef64b89d672e27a6643a43991b85a95302298bd8023c1a164b"}}