{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EDNXQJV5CEFXG3WWHLXFF6SDNU","short_pith_number":"pith:EDNXQJV5","canonical_record":{"source":{"id":"2502.09563","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-13T18:15:10Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"80c3713a96d86a6f237c82426b483c48d88f90333f9aff3d611eabe27cddf012","abstract_canon_sha256":"7d80fe61c7ff3278a3a92e079d09f69b954ff15554891347af2fb36d42b3f3b2"},"schema_version":"1.0"},"canonical_sha256":"20db7826bd110b736ed63aee52fa436d20effee4758e55cd6d12742ab0f08016","source":{"kind":"arxiv","id":"2502.09563","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.09563","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"arxiv_version","alias_value":"2502.09563v2","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.09563","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"pith_short_12","alias_value":"EDNXQJV5CEFX","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"pith_short_16","alias_value":"EDNXQJV5CEFXG3WW","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"pith_short_8","alias_value":"EDNXQJV5","created_at":"2026-07-05T10:44:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EDNXQJV5CEFXG3WWHLXFF6SDNU","target":"record","payload":{"canonical_record":{"source":{"id":"2502.09563","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-13T18:15:10Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"80c3713a96d86a6f237c82426b483c48d88f90333f9aff3d611eabe27cddf012","abstract_canon_sha256":"7d80fe61c7ff3278a3a92e079d09f69b954ff15554891347af2fb36d42b3f3b2"},"schema_version":"1.0"},"canonical_sha256":"20db7826bd110b736ed63aee52fa436d20effee4758e55cd6d12742ab0f08016","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:44:22.111236Z","signature_b64":"8XTzWIBrL584P7+g5sa93UV/oV2mGfiMbx1fMaWhnG/92S3s4EECTonF+KQATrcfIme2B76Mmeo6I88E28bEBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20db7826bd110b736ed63aee52fa436d20effee4758e55cd6d12742ab0f08016","last_reissued_at":"2026-07-05T10:44:22.110659Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:44:22.110659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.09563","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:44:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"spNDOVpq8BycFHOc7vBSCVrS/ppRTAUuvccDH0a/Ps1Fi5YGuE3ZbDoEDEUbuXOt5xi2L470GpZjZ2wE6vo6DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T07:41:07.798416Z"},"content_sha256":"303848838045dc7f103a5662aabe8342fa953079d8a86d4f1519ded7ad74c85d","schema_version":"1.0","event_id":"sha256:303848838045dc7f103a5662aabe8342fa953079d8a86d4f1519ded7ad74c85d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EDNXQJV5CEFXG3WWHLXFF6SDNU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Gordon Wetzstein, Guandao Yang, Leonidas Guibas, Paul Debevec, Steve Marschner, Wenqi Xian, Youming Deng","submitted_at":"2025-02-13T18:15:10Z","abstract_excerpt":"In this paper, we present a self-calibrating framework that jointly optimizes camera parameters, lens distortion and 3D Gaussian representations, enabling accurate and efficient scene reconstruction. In particular, our technique enables high-quality scene reconstruction from Large field-of-view (FOV) imagery taken with wide-angle lenses, allowing the scene to be modeled from a smaller number of images. Our approach introduces a novel method for modeling complex lens distortions using a hybrid network that combines invertible residual networks with explicit grids. This design effectively regula"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.09563","kind":"arxiv","version":2},"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/2502.09563/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":"2026-07-05T10:44:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fbyyz7qa++0UY8o8fTTMVKQ5GccCYNj+SneBlhTp5cHnX66Rky6cmpYt5DVm/AP5KCI23Ow7k3clv8cIKA/ODg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T07:41:07.798806Z"},"content_sha256":"41b73543e475656aaf0accc90170f27ebcc9185e086fc9da42ccf622e46eb612","schema_version":"1.0","event_id":"sha256:41b73543e475656aaf0accc90170f27ebcc9185e086fc9da42ccf622e46eb612"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EDNXQJV5CEFXG3WWHLXFF6SDNU/bundle.json","state_url":"https://pith.science/pith/EDNXQJV5CEFXG3WWHLXFF6SDNU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EDNXQJV5CEFXG3WWHLXFF6SDNU/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":"2026-07-24T07:41:07Z","links":{"resolver":"https://pith.science/pith/EDNXQJV5CEFXG3WWHLXFF6SDNU","bundle":"https://pith.science/pith/EDNXQJV5CEFXG3WWHLXFF6SDNU/bundle.json","state":"https://pith.science/pith/EDNXQJV5CEFXG3WWHLXFF6SDNU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EDNXQJV5CEFXG3WWHLXFF6SDNU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EDNXQJV5CEFXG3WWHLXFF6SDNU","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":"7d80fe61c7ff3278a3a92e079d09f69b954ff15554891347af2fb36d42b3f3b2","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-13T18:15:10Z","title_canon_sha256":"80c3713a96d86a6f237c82426b483c48d88f90333f9aff3d611eabe27cddf012"},"schema_version":"1.0","source":{"id":"2502.09563","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.09563","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"arxiv_version","alias_value":"2502.09563v2","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.09563","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"pith_short_12","alias_value":"EDNXQJV5CEFX","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"pith_short_16","alias_value":"EDNXQJV5CEFXG3WW","created_at":"2026-07-05T10:44:22Z"},{"alias_kind":"pith_short_8","alias_value":"EDNXQJV5","created_at":"2026-07-05T10:44:22Z"}],"graph_snapshots":[{"event_id":"sha256:41b73543e475656aaf0accc90170f27ebcc9185e086fc9da42ccf622e46eb612","target":"graph","created_at":"2026-07-05T10:44:22Z","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/2502.09563/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present a self-calibrating framework that jointly optimizes camera parameters, lens distortion and 3D Gaussian representations, enabling accurate and efficient scene reconstruction. In particular, our technique enables high-quality scene reconstruction from Large field-of-view (FOV) imagery taken with wide-angle lenses, allowing the scene to be modeled from a smaller number of images. Our approach introduces a novel method for modeling complex lens distortions using a hybrid network that combines invertible residual networks with explicit grids. This design effectively regula","authors_text":"Gordon Wetzstein, Guandao Yang, Leonidas Guibas, Paul Debevec, Steve Marschner, Wenqi Xian, Youming Deng","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-13T18:15:10Z","title":"Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.09563","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":"sha256:303848838045dc7f103a5662aabe8342fa953079d8a86d4f1519ded7ad74c85d","target":"record","created_at":"2026-07-05T10:44:22Z","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":"7d80fe61c7ff3278a3a92e079d09f69b954ff15554891347af2fb36d42b3f3b2","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-13T18:15:10Z","title_canon_sha256":"80c3713a96d86a6f237c82426b483c48d88f90333f9aff3d611eabe27cddf012"},"schema_version":"1.0","source":{"id":"2502.09563","kind":"arxiv","version":2}},"canonical_sha256":"20db7826bd110b736ed63aee52fa436d20effee4758e55cd6d12742ab0f08016","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20db7826bd110b736ed63aee52fa436d20effee4758e55cd6d12742ab0f08016","first_computed_at":"2026-07-05T10:44:22.110659Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:44:22.110659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8XTzWIBrL584P7+g5sa93UV/oV2mGfiMbx1fMaWhnG/92S3s4EECTonF+KQATrcfIme2B76Mmeo6I88E28bEBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:44:22.111236Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.09563","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:303848838045dc7f103a5662aabe8342fa953079d8a86d4f1519ded7ad74c85d","sha256:41b73543e475656aaf0accc90170f27ebcc9185e086fc9da42ccf622e46eb612"],"state_sha256":"132bee9255ceee431c9f2cacb0bf79d98abf58be24442cbadb381dacf9e72014"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MX+CX8Rp947hYmzmscKniGD+Syqi4KEsS2CM9TOdzEEG8tr/mPF2uygTQGCTMHuDngqHOZBaEOIo/GXTSBETDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T07:41:07.801266Z","bundle_sha256":"0905a75ae808614192efd1e7ee7640293c6d01c9aa4ec47ffaad5b0c241bb408"}}