{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DEGFI7PBPVOBY5DLQ4QGIDTNSC","short_pith_number":"pith:DEGFI7PB","canonical_record":{"source":{"id":"2503.17856","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-22T20:26:20Z","cross_cats_sorted":[],"title_canon_sha256":"72b5dc540706fa8c05ef36e7ed956589c8ffb16d40b0b8bcd7949ebd28c770a7","abstract_canon_sha256":"aada90bc1e9b74d3ce279c7902339aa65445e1837d5db0bc5fba0c114868e22b"},"schema_version":"1.0"},"canonical_sha256":"190c547de17d5c1c746b8720640e6d9082372d2d7356167a036e0942f61bc081","source":{"kind":"arxiv","id":"2503.17856","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17856","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17856v2","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17856","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_12","alias_value":"DEGFI7PBPVOB","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_16","alias_value":"DEGFI7PBPVOBY5DL","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_8","alias_value":"DEGFI7PB","created_at":"2026-07-05T11:46:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DEGFI7PBPVOBY5DLQ4QGIDTNSC","target":"record","payload":{"canonical_record":{"source":{"id":"2503.17856","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-22T20:26:20Z","cross_cats_sorted":[],"title_canon_sha256":"72b5dc540706fa8c05ef36e7ed956589c8ffb16d40b0b8bcd7949ebd28c770a7","abstract_canon_sha256":"aada90bc1e9b74d3ce279c7902339aa65445e1837d5db0bc5fba0c114868e22b"},"schema_version":"1.0"},"canonical_sha256":"190c547de17d5c1c746b8720640e6d9082372d2d7356167a036e0942f61bc081","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:21.574744Z","signature_b64":"8hc/aNj0b5prv1RxmBGRL1LJ9mtsl2mVj4IkzlMrqz9N//JMvSRj5zEBI61j94+mfDqZK5LwReau12t6xkKOBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"190c547de17d5c1c746b8720640e6d9082372d2d7356167a036e0942f61bc081","last_reissued_at":"2026-07-05T11:46:21.574227Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:21.574227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.17856","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":"2026-07-05T11:46:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gRZSHlRqp5wcaPclozTt1RhXky3i+HkjRvhgcQr2csZMV9xyH0y2g2Qfp/4DE2xLmyarlGedKvcmfTXg3avlAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T08:06:10.717826Z"},"content_sha256":"17c5883a346f6de299f8a99ae04b0cb4958dfe647631a83d217bd1a0287fc507","schema_version":"1.0","event_id":"sha256:17c5883a346f6de299f8a99ae04b0cb4958dfe647631a83d217bd1a0287fc507"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DEGFI7PBPVOBY5DLQ4QGIDTNSC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profiling","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Radu Beche, Sergiu Nedevschi","submitted_at":"2025-03-22T20:26:20Z","abstract_excerpt":"The development of aerial holistic scene understanding algorithms is hindered by the scarcity of comprehensive datasets that enable both semantic and geometric reconstruction. While synthetic datasets offer an alternative, existing options exhibit task-specific limitations, unrealistic scene compositions, and rendering artifacts that compromise real-world applicability. We introduce ClaraVid, a synthetic aerial dataset specifically designed to overcome these limitations. Comprising 16,917 high-resolution images captured at 4032x3024 from multiple viewpoints across diverse landscapes, ClaraVid "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17856","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/2503.17856/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":"2026-07-05T11:46:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cfIPKDFFEMLwDvQouogRdItJsy1ue29k2oPX0fYN91QMl6RBmsbSfVY3B/lr/R4imhAeKPjXjMkY8XR1UaFvAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T08:06:10.718205Z"},"content_sha256":"a096962defadb697a2c3ab28290a74b50f18fc7dfd2479f084ea4277756636ff","schema_version":"1.0","event_id":"sha256:a096962defadb697a2c3ab28290a74b50f18fc7dfd2479f084ea4277756636ff"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DEGFI7PBPVOBY5DLQ4QGIDTNSC/bundle.json","state_url":"https://pith.science/pith/DEGFI7PBPVOBY5DLQ4QGIDTNSC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DEGFI7PBPVOBY5DLQ4QGIDTNSC/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":"2026-07-24T08:06:10Z","links":{"resolver":"https://pith.science/pith/DEGFI7PBPVOBY5DLQ4QGIDTNSC","bundle":"https://pith.science/pith/DEGFI7PBPVOBY5DLQ4QGIDTNSC/bundle.json","state":"https://pith.science/pith/DEGFI7PBPVOBY5DLQ4QGIDTNSC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DEGFI7PBPVOBY5DLQ4QGIDTNSC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DEGFI7PBPVOBY5DLQ4QGIDTNSC","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":"aada90bc1e9b74d3ce279c7902339aa65445e1837d5db0bc5fba0c114868e22b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-22T20:26:20Z","title_canon_sha256":"72b5dc540706fa8c05ef36e7ed956589c8ffb16d40b0b8bcd7949ebd28c770a7"},"schema_version":"1.0","source":{"id":"2503.17856","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17856","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17856v2","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17856","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_12","alias_value":"DEGFI7PBPVOB","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_16","alias_value":"DEGFI7PBPVOBY5DL","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_8","alias_value":"DEGFI7PB","created_at":"2026-07-05T11:46:21Z"}],"graph_snapshots":[{"event_id":"sha256:a096962defadb697a2c3ab28290a74b50f18fc7dfd2479f084ea4277756636ff","target":"graph","created_at":"2026-07-05T11:46:21Z","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/2503.17856/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The development of aerial holistic scene understanding algorithms is hindered by the scarcity of comprehensive datasets that enable both semantic and geometric reconstruction. While synthetic datasets offer an alternative, existing options exhibit task-specific limitations, unrealistic scene compositions, and rendering artifacts that compromise real-world applicability. We introduce ClaraVid, a synthetic aerial dataset specifically designed to overcome these limitations. Comprising 16,917 high-resolution images captured at 4032x3024 from multiple viewpoints across diverse landscapes, ClaraVid ","authors_text":"Radu Beche, Sergiu Nedevschi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-22T20:26:20Z","title":"ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profiling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17856","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":"sha256:17c5883a346f6de299f8a99ae04b0cb4958dfe647631a83d217bd1a0287fc507","target":"record","created_at":"2026-07-05T11:46:21Z","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":"aada90bc1e9b74d3ce279c7902339aa65445e1837d5db0bc5fba0c114868e22b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-22T20:26:20Z","title_canon_sha256":"72b5dc540706fa8c05ef36e7ed956589c8ffb16d40b0b8bcd7949ebd28c770a7"},"schema_version":"1.0","source":{"id":"2503.17856","kind":"arxiv","version":2}},"canonical_sha256":"190c547de17d5c1c746b8720640e6d9082372d2d7356167a036e0942f61bc081","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"190c547de17d5c1c746b8720640e6d9082372d2d7356167a036e0942f61bc081","first_computed_at":"2026-07-05T11:46:21.574227Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:21.574227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8hc/aNj0b5prv1RxmBGRL1LJ9mtsl2mVj4IkzlMrqz9N//JMvSRj5zEBI61j94+mfDqZK5LwReau12t6xkKOBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:21.574744Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.17856","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17c5883a346f6de299f8a99ae04b0cb4958dfe647631a83d217bd1a0287fc507","sha256:a096962defadb697a2c3ab28290a74b50f18fc7dfd2479f084ea4277756636ff"],"state_sha256":"a58610c0c5edadd3a12bfa82a2170635d85ce3206938b33be0c2de28faef9bc3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JvyKD1p28Kmwtys78Mn0gMh102wnx9wusHX1H+2U+aimZ9Ak7pBebgFBzulePsSBIw4J/o4v34FgKz8wztJtBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T08:06:10.720419Z","bundle_sha256":"46d0c6d2c397ba450a1f3756542c403bf5dbd652bc9f93fdef9182f98ad2ae20"}}