{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:562MMD2IJPNTKNMKRUT3ONWFCI","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":"2e0ec0ef7e80e8794533a7ed2e0b1ec3b7fdc3a92c75cbb57ed35e86508ccaae","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-14T16:21:58Z","title_canon_sha256":"0d5b43c7b1bcff2b5ef1727f4c14727599ca04a0037891ab4d8632fa7344f992"},"schema_version":"1.0","source":{"id":"2506.12563","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12563","created_at":"2026-07-05T11:21:55Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12563v1","created_at":"2026-07-05T11:21:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12563","created_at":"2026-07-05T11:21:55Z"},{"alias_kind":"pith_short_12","alias_value":"562MMD2IJPNT","created_at":"2026-07-05T11:21:55Z"},{"alias_kind":"pith_short_16","alias_value":"562MMD2IJPNTKNMK","created_at":"2026-07-05T11:21:55Z"},{"alias_kind":"pith_short_8","alias_value":"562MMD2I","created_at":"2026-07-05T11:21:55Z"}],"graph_snapshots":[{"event_id":"sha256:87551e6d293a80391fb8f70da6364b3ed686fc27559dc91aa93eae6602f1f67f","target":"graph","created_at":"2026-07-05T11:21:55Z","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/2506.12563/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditional image similarity metrics are ineffective at evaluating the similarity between a real image of a scene and an artificially generated version of that viewpoint [6, 9, 13, 14]. Our research evaluates the effectiveness of a new, perceptual-based similarity metric, DreamSim [2], and three popular image similarity metrics: Structural Similarity (SSIM), Peak Signal-to-Noise Ratio (PSNR), and Learned Perceptual Image Patch Similarity (LPIPS) [18, 19] in novel view synthesis (NVS) applications. We create a corpus of artificially corrupted images to quantify the sensitivity and discriminativ","authors_text":"Charith Wickrema, Eliza Mace, Eric Bianchi, Mark Giglio, Michael Twardowski, Sara Leary, Shivangi Sarkar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-14T16:21:58Z","title":"Benchmarking Image Similarity Metrics for Novel View Synthesis Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12563","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":"sha256:1c40a570b22c9908b3ac1ae39dae90e0b05ae3d52fd8e92aa02a60cbca7f1e2c","target":"record","created_at":"2026-07-05T11:21:55Z","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":"2e0ec0ef7e80e8794533a7ed2e0b1ec3b7fdc3a92c75cbb57ed35e86508ccaae","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-14T16:21:58Z","title_canon_sha256":"0d5b43c7b1bcff2b5ef1727f4c14727599ca04a0037891ab4d8632fa7344f992"},"schema_version":"1.0","source":{"id":"2506.12563","kind":"arxiv","version":1}},"canonical_sha256":"efb4c60f484bdb35358a8d27b736c51232692f7dfc06157907a9edd1a06fffb1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efb4c60f484bdb35358a8d27b736c51232692f7dfc06157907a9edd1a06fffb1","first_computed_at":"2026-07-05T11:21:55.363167Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:21:55.363167Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oPuURyQgEaAdJXBuFR88P9qmu/Mrf6uXuyvoru55CgAGsA/uidewYr80M5ZboDnN05qfbQM/kK+QjPo0+46mBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:21:55.363811Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.12563","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c40a570b22c9908b3ac1ae39dae90e0b05ae3d52fd8e92aa02a60cbca7f1e2c","sha256:87551e6d293a80391fb8f70da6364b3ed686fc27559dc91aa93eae6602f1f67f"],"state_sha256":"cfb2e9358e0d50b64b40252c062ae8e7947c9e05dd22ca2e51e6329ad1f8c9d4"}