{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NKKLNUYI5I562O7NZEZAYKBM2Q","short_pith_number":"pith:NKKLNUYI","canonical_record":{"source":{"id":"2308.12967","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-24T17:59:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"f9e9f96794a1ff2f562899978d755a9fc323bc3425393a01e0a210a562b96c61","abstract_canon_sha256":"643205d7af68c11b344c489c28b21daffe4a67a208d8f30f8538ec03dae75afc"},"schema_version":"1.0"},"canonical_sha256":"6a94b6d308ea3bed3bedc9320c282cd436fda0ce03a4dfcc0ee554186c6f606f","source":{"kind":"arxiv","id":"2308.12967","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.12967","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"arxiv_version","alias_value":"2308.12967v1","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.12967","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"pith_short_12","alias_value":"NKKLNUYI5I56","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"pith_short_16","alias_value":"NKKLNUYI5I562O7N","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"pith_short_8","alias_value":"NKKLNUYI","created_at":"2026-07-05T06:44:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NKKLNUYI5I562O7NZEZAYKBM2Q","target":"record","payload":{"canonical_record":{"source":{"id":"2308.12967","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-24T17:59:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"f9e9f96794a1ff2f562899978d755a9fc323bc3425393a01e0a210a562b96c61","abstract_canon_sha256":"643205d7af68c11b344c489c28b21daffe4a67a208d8f30f8538ec03dae75afc"},"schema_version":"1.0"},"canonical_sha256":"6a94b6d308ea3bed3bedc9320c282cd436fda0ce03a4dfcc0ee554186c6f606f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:44:24.491177Z","signature_b64":"Mdbf+meyVRoZgx1gBn+lRwJiARgZp8O0uI70Tq+Sio8ivTs4AvqkhnQa9tdsigwImSq2Qn2Dj0Wwejx+kd31Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a94b6d308ea3bed3bedc9320c282cd436fda0ce03a4dfcc0ee554186c6f606f","last_reissued_at":"2026-07-05T06:44:24.490746Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:44:24.490746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.12967","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":"2026-07-05T06:44:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zGLBALouByMEOfPMZUJwvQwhZeXC0xC5zqILZun0dsy923oai1YXGi11CcghfwUZAXRDVbsWRJyct0OYEZBhCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T05:47:46.843860Z"},"content_sha256":"9340226bb088c000cf87a8336d5c09b6e54fe88f406baeaf1f1dd01edb29bfe5","schema_version":"1.0","event_id":"sha256:9340226bb088c000cf87a8336d5c09b6e54fe88f406baeaf1f1dd01edb29bfe5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NKKLNUYI5I562O7NZEZAYKBM2Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Adrien Gaidon, Katherine Liu, Muhammad Zubair Irshad, Rares Ambrus, Sergey Zakharov, Thomas Kollar, Vitor Guizilini, Zsolt Kira","submitted_at":"2023-08-24T17:59:50Z","abstract_excerpt":"Recent implicit neural representations have shown great results for novel view synthesis. However, existing methods require expensive per-scene optimization from many views hence limiting their application to real-world unbounded urban settings where the objects of interest or backgrounds are observed from very few views. To mitigate this challenge, we introduce a new approach called NeO 360, Neural fields for sparse view synthesis of outdoor scenes. NeO 360 is a generalizable method that reconstructs 360{\\deg} scenes from a single or a few posed RGB images. The essence of our approach is in c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.12967","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/2308.12967/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":"2026-07-05T06:44:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P5cZUNRA7qon1tdrRlSXI9OCu8cskT4XZDPAg7BnfmtvxktHiG8kx3Ufk368Q5YfeQJrTOHGidQ5kwyq4Cb5Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T05:47:46.844235Z"},"content_sha256":"2825109a3b58024a364617fc012b8ce32d802a959b89a7aa9397ed1668cc1bc0","schema_version":"1.0","event_id":"sha256:2825109a3b58024a364617fc012b8ce32d802a959b89a7aa9397ed1668cc1bc0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NKKLNUYI5I562O7NZEZAYKBM2Q/bundle.json","state_url":"https://pith.science/pith/NKKLNUYI5I562O7NZEZAYKBM2Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NKKLNUYI5I562O7NZEZAYKBM2Q/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":"2026-07-06T05:47:46Z","links":{"resolver":"https://pith.science/pith/NKKLNUYI5I562O7NZEZAYKBM2Q","bundle":"https://pith.science/pith/NKKLNUYI5I562O7NZEZAYKBM2Q/bundle.json","state":"https://pith.science/pith/NKKLNUYI5I562O7NZEZAYKBM2Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NKKLNUYI5I562O7NZEZAYKBM2Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NKKLNUYI5I562O7NZEZAYKBM2Q","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":"643205d7af68c11b344c489c28b21daffe4a67a208d8f30f8538ec03dae75afc","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-24T17:59:50Z","title_canon_sha256":"f9e9f96794a1ff2f562899978d755a9fc323bc3425393a01e0a210a562b96c61"},"schema_version":"1.0","source":{"id":"2308.12967","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.12967","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"arxiv_version","alias_value":"2308.12967v1","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.12967","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"pith_short_12","alias_value":"NKKLNUYI5I56","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"pith_short_16","alias_value":"NKKLNUYI5I562O7N","created_at":"2026-07-05T06:44:24Z"},{"alias_kind":"pith_short_8","alias_value":"NKKLNUYI","created_at":"2026-07-05T06:44:24Z"}],"graph_snapshots":[{"event_id":"sha256:2825109a3b58024a364617fc012b8ce32d802a959b89a7aa9397ed1668cc1bc0","target":"graph","created_at":"2026-07-05T06:44:24Z","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/2308.12967/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent implicit neural representations have shown great results for novel view synthesis. However, existing methods require expensive per-scene optimization from many views hence limiting their application to real-world unbounded urban settings where the objects of interest or backgrounds are observed from very few views. To mitigate this challenge, we introduce a new approach called NeO 360, Neural fields for sparse view synthesis of outdoor scenes. NeO 360 is a generalizable method that reconstructs 360{\\deg} scenes from a single or a few posed RGB images. The essence of our approach is in c","authors_text":"Adrien Gaidon, Katherine Liu, Muhammad Zubair Irshad, Rares Ambrus, Sergey Zakharov, Thomas Kollar, Vitor Guizilini, Zsolt Kira","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-24T17:59:50Z","title":"NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.12967","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":"sha256:9340226bb088c000cf87a8336d5c09b6e54fe88f406baeaf1f1dd01edb29bfe5","target":"record","created_at":"2026-07-05T06:44:24Z","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":"643205d7af68c11b344c489c28b21daffe4a67a208d8f30f8538ec03dae75afc","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-24T17:59:50Z","title_canon_sha256":"f9e9f96794a1ff2f562899978d755a9fc323bc3425393a01e0a210a562b96c61"},"schema_version":"1.0","source":{"id":"2308.12967","kind":"arxiv","version":1}},"canonical_sha256":"6a94b6d308ea3bed3bedc9320c282cd436fda0ce03a4dfcc0ee554186c6f606f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a94b6d308ea3bed3bedc9320c282cd436fda0ce03a4dfcc0ee554186c6f606f","first_computed_at":"2026-07-05T06:44:24.490746Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:44:24.490746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Mdbf+meyVRoZgx1gBn+lRwJiARgZp8O0uI70Tq+Sio8ivTs4AvqkhnQa9tdsigwImSq2Qn2Dj0Wwejx+kd31Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:44:24.491177Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.12967","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9340226bb088c000cf87a8336d5c09b6e54fe88f406baeaf1f1dd01edb29bfe5","sha256:2825109a3b58024a364617fc012b8ce32d802a959b89a7aa9397ed1668cc1bc0"],"state_sha256":"b4ab4267d21d07bcb826028b7bce85c65b0edcd86bac51f2be514674ca630a9b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GZT74qqpM6U1YC2UHiixQobdu1PYue2kKj47yDEjZwwzFjSR97wCl4ttDmOdLUK/+CECvCk1diK49thRl7kiBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T05:47:46.846534Z","bundle_sha256":"7f183ccf3404245f933a3e874e90088b9e4d2c610edc413652bc63ba51981aff"}}