{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KXFSW5KJGIGNIF74XY5JARK2WP","short_pith_number":"pith:KXFSW5KJ","canonical_record":{"source":{"id":"2402.04554","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T03:18:34Z","cross_cats_sorted":[],"title_canon_sha256":"1c064e54bd8636f0418d639fd02bbd58e1cf83180ba2cbcc87ec4c67956af564","abstract_canon_sha256":"20e1528c714bb0edeeb2257473db0235d8287113947f23225e38fc94aafdaac1"},"schema_version":"1.0"},"canonical_sha256":"55cb2b7549320cd417fcbe3a90455ab3e07fc15ea3126a3da97435b929208c82","source":{"kind":"arxiv","id":"2402.04554","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04554","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04554v2","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04554","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"pith_short_12","alias_value":"KXFSW5KJGIGN","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"pith_short_16","alias_value":"KXFSW5KJGIGNIF74","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"pith_short_8","alias_value":"KXFSW5KJ","created_at":"2026-07-05T07:44:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KXFSW5KJGIGNIF74XY5JARK2WP","target":"record","payload":{"canonical_record":{"source":{"id":"2402.04554","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T03:18:34Z","cross_cats_sorted":[],"title_canon_sha256":"1c064e54bd8636f0418d639fd02bbd58e1cf83180ba2cbcc87ec4c67956af564","abstract_canon_sha256":"20e1528c714bb0edeeb2257473db0235d8287113947f23225e38fc94aafdaac1"},"schema_version":"1.0"},"canonical_sha256":"55cb2b7549320cd417fcbe3a90455ab3e07fc15ea3126a3da97435b929208c82","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:44:00.536398Z","signature_b64":"G1V7kOMS8nV8iPPF+ed5eq8YD65edjrMqBjhm/zJ8cvcKFMwJThhs9gMy9uHAYqCYJBSFJX8bvym1tpndjEVCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"55cb2b7549320cd417fcbe3a90455ab3e07fc15ea3126a3da97435b929208c82","last_reissued_at":"2026-07-05T07:44:00.535910Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:44:00.535910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.04554","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":"2026-07-05T07:44:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F8DWlnM51B77AthBkWN+RnQD6ZAFhR8Ua0TsLHMqthpIOxeD9ahWQPFdlPBdaq2ywkITtZ2Rvt92sofqho0cDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T10:20:24.226456Z"},"content_sha256":"45be0ab002587a4351cdf5b1c63155eba8a84db327cbacf2778b744565b57dde","schema_version":"1.0","event_id":"sha256:45be0ab002587a4351cdf5b1c63155eba8a84db327cbacf2778b744565b57dde"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KXFSW5KJGIGNIF74XY5JARK2WP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BirdNeRF: Fast Neural Reconstruction of Large-Scale Scenes From Aerial Imagery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huiqing Zhang, Ming Liao, Yifei Xue, Yizhen Lao","submitted_at":"2024-02-07T03:18:34Z","abstract_excerpt":"In this study, we introduce BirdNeRF, an adaptation of Neural Radiance Fields (NeRF) designed specifically for reconstructing large-scale scenes using aerial imagery. Unlike previous research focused on small-scale and object-centric NeRF reconstruction, our approach addresses multiple challenges, including (1) Addressing the issue of slow training and rendering associated with large models. (2) Meeting the computational demands necessitated by modeling a substantial number of images, requiring extensive resources such as high-performance GPUs. (3) Overcoming significant artifacts and low visu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04554","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/2402.04554/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":"2026-07-05T07:44:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AnsuIPZRfrdnevd+iUZlTnv/SQdl06BR3A1r1dYu//arHQ6lhqco/obqAlqmqwi/gFAyYKU63OxHvIPIVEDoDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T10:20:24.227351Z"},"content_sha256":"9d5149b3d35993fdaf05fc989a889d4c6d50828acdefaea7b907b47d79d0d26d","schema_version":"1.0","event_id":"sha256:9d5149b3d35993fdaf05fc989a889d4c6d50828acdefaea7b907b47d79d0d26d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KXFSW5KJGIGNIF74XY5JARK2WP/bundle.json","state_url":"https://pith.science/pith/KXFSW5KJGIGNIF74XY5JARK2WP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KXFSW5KJGIGNIF74XY5JARK2WP/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":"2026-08-12T10:20:24Z","links":{"resolver":"https://pith.science/pith/KXFSW5KJGIGNIF74XY5JARK2WP","bundle":"https://pith.science/pith/KXFSW5KJGIGNIF74XY5JARK2WP/bundle.json","state":"https://pith.science/pith/KXFSW5KJGIGNIF74XY5JARK2WP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KXFSW5KJGIGNIF74XY5JARK2WP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KXFSW5KJGIGNIF74XY5JARK2WP","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":"20e1528c714bb0edeeb2257473db0235d8287113947f23225e38fc94aafdaac1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T03:18:34Z","title_canon_sha256":"1c064e54bd8636f0418d639fd02bbd58e1cf83180ba2cbcc87ec4c67956af564"},"schema_version":"1.0","source":{"id":"2402.04554","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.04554","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"arxiv_version","alias_value":"2402.04554v2","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.04554","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"pith_short_12","alias_value":"KXFSW5KJGIGN","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"pith_short_16","alias_value":"KXFSW5KJGIGNIF74","created_at":"2026-07-05T07:44:00Z"},{"alias_kind":"pith_short_8","alias_value":"KXFSW5KJ","created_at":"2026-07-05T07:44:00Z"}],"graph_snapshots":[{"event_id":"sha256:9d5149b3d35993fdaf05fc989a889d4c6d50828acdefaea7b907b47d79d0d26d","target":"graph","created_at":"2026-07-05T07:44:00Z","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/2402.04554/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this study, we introduce BirdNeRF, an adaptation of Neural Radiance Fields (NeRF) designed specifically for reconstructing large-scale scenes using aerial imagery. Unlike previous research focused on small-scale and object-centric NeRF reconstruction, our approach addresses multiple challenges, including (1) Addressing the issue of slow training and rendering associated with large models. (2) Meeting the computational demands necessitated by modeling a substantial number of images, requiring extensive resources such as high-performance GPUs. (3) Overcoming significant artifacts and low visu","authors_text":"Huiqing Zhang, Ming Liao, Yifei Xue, Yizhen Lao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T03:18:34Z","title":"BirdNeRF: Fast Neural Reconstruction of Large-Scale Scenes From Aerial Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.04554","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":"sha256:45be0ab002587a4351cdf5b1c63155eba8a84db327cbacf2778b744565b57dde","target":"record","created_at":"2026-07-05T07:44:00Z","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":"20e1528c714bb0edeeb2257473db0235d8287113947f23225e38fc94aafdaac1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-07T03:18:34Z","title_canon_sha256":"1c064e54bd8636f0418d639fd02bbd58e1cf83180ba2cbcc87ec4c67956af564"},"schema_version":"1.0","source":{"id":"2402.04554","kind":"arxiv","version":2}},"canonical_sha256":"55cb2b7549320cd417fcbe3a90455ab3e07fc15ea3126a3da97435b929208c82","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55cb2b7549320cd417fcbe3a90455ab3e07fc15ea3126a3da97435b929208c82","first_computed_at":"2026-07-05T07:44:00.535910Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:44:00.535910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G1V7kOMS8nV8iPPF+ed5eq8YD65edjrMqBjhm/zJ8cvcKFMwJThhs9gMy9uHAYqCYJBSFJX8bvym1tpndjEVCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:44:00.536398Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.04554","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:45be0ab002587a4351cdf5b1c63155eba8a84db327cbacf2778b744565b57dde","sha256:9d5149b3d35993fdaf05fc989a889d4c6d50828acdefaea7b907b47d79d0d26d"],"state_sha256":"d5fb6df490c124318b092963f04b312ec4a3364eb25f100c7715abd185a8d864"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+2g8+ciLNnv+FVbCNfyYKu8kjDkjw2aku8e1C/wuJUwSmdWFuVS4D4jbRak+B7sGA5KazIav04zN1a1p9OFoCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T10:20:24.233001Z","bundle_sha256":"c9bc224b187139933c966373fead47935a5ca3afd50eb484d1b4c283de4f92f8"}}