{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YT53P7WIJHXOAMIFFN7LHH5XZO","short_pith_number":"pith:YT53P7WI","canonical_record":{"source":{"id":"2607.08769","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T17:59:43Z","cross_cats_sorted":[],"title_canon_sha256":"481556c5407e6ef42a2a34a54a30096771befb2d1ac3dd1c9196b4ce5326fb6f","abstract_canon_sha256":"eed3735f1eb1436b3dc78d4b0c6f9e4c69ab9bb20adfa98186381067eca0a49e"},"schema_version":"1.0"},"canonical_sha256":"c4fbb7fec849eee031052b7eb39fb7cb86812a5ee739c02f84d1847732e774d9","source":{"kind":"arxiv","id":"2607.08769","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08769","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08769v1","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08769","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"pith_short_12","alias_value":"YT53P7WIJHXO","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"pith_short_16","alias_value":"YT53P7WIJHXOAMIF","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"pith_short_8","alias_value":"YT53P7WI","created_at":"2026-07-10T01:19:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YT53P7WIJHXOAMIFFN7LHH5XZO","target":"record","payload":{"canonical_record":{"source":{"id":"2607.08769","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T17:59:43Z","cross_cats_sorted":[],"title_canon_sha256":"481556c5407e6ef42a2a34a54a30096771befb2d1ac3dd1c9196b4ce5326fb6f","abstract_canon_sha256":"eed3735f1eb1436b3dc78d4b0c6f9e4c69ab9bb20adfa98186381067eca0a49e"},"schema_version":"1.0"},"canonical_sha256":"c4fbb7fec849eee031052b7eb39fb7cb86812a5ee739c02f84d1847732e774d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T01:19:59.809666Z","signature_b64":"7uqdyDQL/YA9Wipx1wdsKb71AN3FXJpzrOtZ7L+bgQkIbjP9MiKMkk8lVyFaClCvbzNTgoOXBxyayrmix6e3Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4fbb7fec849eee031052b7eb39fb7cb86812a5ee739c02f84d1847732e774d9","last_reissued_at":"2026-07-10T01:19:59.809238Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T01:19:59.809238Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.08769","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":"2026-07-10T01:19:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rlikSUHSCDwiMYej09XMmjOoizso2JYJ4FNMbZcniEGO+NxKwdnxLQwt2J3BFhnXp/+8m0pt4meN234WG7WoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:21:21.141034Z"},"content_sha256":"6f6cccf0547d9c11197e219d0715173633d54fb1f457b75beaa1d9ad2f1b5aa8","schema_version":"1.0","event_id":"sha256:6f6cccf0547d9c11197e219d0715173633d54fb1f457b75beaa1d9ad2f1b5aa8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YT53P7WIJHXOAMIFFN7LHH5XZO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Geometry and Gradient-based Partitioning for Panoramic Outdoor Reconstruction","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guo Wang, Hongde Qin, Lu Qi, Weibo Yao, Weijian Chen, Weijun Zhang, Xiaolin Tang, Xitong Gao, Yihao Chen, Yuhang Zhang","submitted_at":"2026-07-09T17:59:43Z","abstract_excerpt":"Scaling 3D Gaussian Splatting (3DGS) to large outdoor scenes is costly in both data acquisition and computation. Adopting panoramic images with equirectangular projection (ERP) can reduce capture effort via their full $360^{\\circ}$ field of view, yet the resulting omnipresent visibility invalidates existing partitioning strategies that rely on local camera frustums, causing block-wise optimization to degenerate into global training. Thus, we propose PanoLOG, a two-stage coarse-to-fine framework equipped with a Geometry and Gradient-based Partitioning Strategy tailored for large-scale panoramic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08769","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/2607.08769/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":"2026-07-10T01:19:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w6OeBkqoJBq5WUY4jI7BJN5SoY3toGV3L4ct2ROU3Fcdlh9vqYBJm5QCLjgPZowT7ea1N5Quaxlt05IvtljbAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:21:21.141541Z"},"content_sha256":"3dc4617536491550da3a127af95ccc14ac70f6982c5d5b97fd3d2ae895e51ba2","schema_version":"1.0","event_id":"sha256:3dc4617536491550da3a127af95ccc14ac70f6982c5d5b97fd3d2ae895e51ba2"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:YT53P7WIJHXOAMIFFN7LHH5XZO","target":"integrity","payload":{"note":"URL 'https://insta360-research-team.github.io/GGPS-' returned status 404 (Not Found) at last check.","snippet":null,"arxiv_id":"2607.08769","detector":"external_links","evidence":{"url":"https://insta360-research-team.github.io/GGPS-","final_url":"https://insta360-research-team.github.io/GGPS-","host_kind":"website","status_code":404,"status_text":"Not Found","verdict_class":"incontrovertible","checked_at_unix":1783661626.722041},"severity":"advisory","ref_index":null,"audited_at":"2026-07-10T05:33:46.840547Z","event_type":"pith.integrity.v1","detected_doi":null,"detector_url":"https://pith.science/pith-integrity-protocol#external_links","external_url":"https://insta360-research-team.github.io/GGPS-","finding_type":"dead_url","evidence_hash":"4e6758bd6c435695ba313bc8fb65f2ef6d3d8acfd6fd31f69da5eecbf128182a","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":11846,"payload_sha256":"9c6d9578fdda0d5c7dcd6edd9e06c86a41c468ce68b11b4f1da3bd13f12cd926","signature_b64":"A1Ej64hjVJqc6apROc0HWGcpW+jIL8325zpU8RarYRHz2Q/gTQ/Furp5Qu1YZk/PxRkMOi658+C7vQCtAcojAA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-10T05:33:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UGIRg2oZHEoMdZ+s2oLJf4u6PXycpTFx4sNFw2wT13TisLkCTn+0M63CLnQL3y500xhYhdZcuBj1FF/Z/ESWAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:21:21.144119Z"},"content_sha256":"038c74c250bf2417a09e7494d5d74fee2078fef7f785bfeb6b7b7389c4be69c5","schema_version":"1.0","event_id":"sha256:038c74c250bf2417a09e7494d5d74fee2078fef7f785bfeb6b7b7389c4be69c5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YT53P7WIJHXOAMIFFN7LHH5XZO/bundle.json","state_url":"https://pith.science/pith/YT53P7WIJHXOAMIFFN7LHH5XZO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YT53P7WIJHXOAMIFFN7LHH5XZO/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":"2026-08-05T03:21:21Z","links":{"resolver":"https://pith.science/pith/YT53P7WIJHXOAMIFFN7LHH5XZO","bundle":"https://pith.science/pith/YT53P7WIJHXOAMIFFN7LHH5XZO/bundle.json","state":"https://pith.science/pith/YT53P7WIJHXOAMIFFN7LHH5XZO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YT53P7WIJHXOAMIFFN7LHH5XZO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YT53P7WIJHXOAMIFFN7LHH5XZO","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"eed3735f1eb1436b3dc78d4b0c6f9e4c69ab9bb20adfa98186381067eca0a49e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T17:59:43Z","title_canon_sha256":"481556c5407e6ef42a2a34a54a30096771befb2d1ac3dd1c9196b4ce5326fb6f"},"schema_version":"1.0","source":{"id":"2607.08769","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08769","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08769v1","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08769","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"pith_short_12","alias_value":"YT53P7WIJHXO","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"pith_short_16","alias_value":"YT53P7WIJHXOAMIF","created_at":"2026-07-10T01:19:59Z"},{"alias_kind":"pith_short_8","alias_value":"YT53P7WI","created_at":"2026-07-10T01:19:59Z"}],"graph_snapshots":[{"event_id":"sha256:3dc4617536491550da3a127af95ccc14ac70f6982c5d5b97fd3d2ae895e51ba2","target":"graph","created_at":"2026-07-10T01:19:59Z","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/2607.08769/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scaling 3D Gaussian Splatting (3DGS) to large outdoor scenes is costly in both data acquisition and computation. Adopting panoramic images with equirectangular projection (ERP) can reduce capture effort via their full $360^{\\circ}$ field of view, yet the resulting omnipresent visibility invalidates existing partitioning strategies that rely on local camera frustums, causing block-wise optimization to degenerate into global training. Thus, we propose PanoLOG, a two-stage coarse-to-fine framework equipped with a Geometry and Gradient-based Partitioning Strategy tailored for large-scale panoramic","authors_text":"Guo Wang, Hongde Qin, Lu Qi, Weibo Yao, Weijian Chen, Weijun Zhang, Xiaolin Tang, Xitong Gao, Yihao Chen, Yuhang Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T17:59:43Z","title":"Geometry and Gradient-based Partitioning for Panoramic Outdoor Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08769","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":"sha256:6f6cccf0547d9c11197e219d0715173633d54fb1f457b75beaa1d9ad2f1b5aa8","target":"record","created_at":"2026-07-10T01:19:59Z","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":"eed3735f1eb1436b3dc78d4b0c6f9e4c69ab9bb20adfa98186381067eca0a49e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T17:59:43Z","title_canon_sha256":"481556c5407e6ef42a2a34a54a30096771befb2d1ac3dd1c9196b4ce5326fb6f"},"schema_version":"1.0","source":{"id":"2607.08769","kind":"arxiv","version":1}},"canonical_sha256":"c4fbb7fec849eee031052b7eb39fb7cb86812a5ee739c02f84d1847732e774d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c4fbb7fec849eee031052b7eb39fb7cb86812a5ee739c02f84d1847732e774d9","first_computed_at":"2026-07-10T01:19:59.809238Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:59.809238Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7uqdyDQL/YA9Wipx1wdsKb71AN3FXJpzrOtZ7L+bgQkIbjP9MiKMkk8lVyFaClCvbzNTgoOXBxyayrmix6e3Dg==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:59.809666Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08769","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f6cccf0547d9c11197e219d0715173633d54fb1f457b75beaa1d9ad2f1b5aa8","sha256:3dc4617536491550da3a127af95ccc14ac70f6982c5d5b97fd3d2ae895e51ba2","sha256:038c74c250bf2417a09e7494d5d74fee2078fef7f785bfeb6b7b7389c4be69c5"],"state_sha256":"95118de7512b59e42b3ac833d9e67194c915be15e6e42977053ff7f638409783"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"95iv2nLc6rPSChorW0L1vKE6fz4aeg9MKXVsDw7jJkxy9dT4SG3kXIAetjmzkx76qY8kNU5WMshaGCaDBeofBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:21:21.146837Z","bundle_sha256":"5d7fc8e072ce10bb2415d8989219ab84d07d979dfb04353875ba2cd67e9bf958"}}