{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WFM45NYLQ6Y5P4BCAMD5FBVQX6","short_pith_number":"pith:WFM45NYL","canonical_record":{"source":{"id":"2607.10120","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T04:56:27Z","cross_cats_sorted":[],"title_canon_sha256":"673e584804b502137707e9f80ae63eec4755a8ad12786a902f9e196b0faeb238","abstract_canon_sha256":"716bda0af5c145ee69ce5f452e3fd623abda304357627961f3c52701c8bcf4e8"},"schema_version":"1.0"},"canonical_sha256":"b159ceb70b87b1d7f0220307d286b0bf908ad42c83a61618857be9ff397cdd8b","source":{"kind":"arxiv","id":"2607.10120","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10120","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10120v1","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10120","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"pith_short_12","alias_value":"WFM45NYLQ6Y5","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"pith_short_16","alias_value":"WFM45NYLQ6Y5P4BC","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"pith_short_8","alias_value":"WFM45NYL","created_at":"2026-07-14T01:20:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WFM45NYLQ6Y5P4BCAMD5FBVQX6","target":"record","payload":{"canonical_record":{"source":{"id":"2607.10120","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T04:56:27Z","cross_cats_sorted":[],"title_canon_sha256":"673e584804b502137707e9f80ae63eec4755a8ad12786a902f9e196b0faeb238","abstract_canon_sha256":"716bda0af5c145ee69ce5f452e3fd623abda304357627961f3c52701c8bcf4e8"},"schema_version":"1.0"},"canonical_sha256":"b159ceb70b87b1d7f0220307d286b0bf908ad42c83a61618857be9ff397cdd8b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:20:26.212122Z","signature_b64":"uyDixw6Ym8H35kz5P4G0xyvRNpZQYScLnZsY421HCZXRXNBGJWtCI8WOmeqVh255bTf3YFvJJ0w3M6/uqgX4Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b159ceb70b87b1d7f0220307d286b0bf908ad42c83a61618857be9ff397cdd8b","last_reissued_at":"2026-07-14T01:20:26.211262Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:20:26.211262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.10120","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":"2026-07-14T01:20:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aqjV6dBGYA4PzPXU/q02mjPHykGd67IEBOf7Xo8KQbH8tPeKkgoJNdNkE8O0/LYRydNR9caFDbipwYoddCYwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T13:29:02.976139Z"},"content_sha256":"e537e846d878cc8032111478df1ea885d00054b7f6fa28a9e26d0960bca629bf","schema_version":"1.0","event_id":"sha256:e537e846d878cc8032111478df1ea885d00054b7f6fa28a9e26d0960bca629bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WFM45NYLQ6Y5P4BCAMD5FBVQX6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changhua Pei, Hao Liu, Jianhui Li, Shujun Wang, Xianzhi Ma, Xiaohan Li","submitted_at":"2026-07-11T04:56:27Z","abstract_excerpt":"Ultra-High-Resolution (UHR) remote sensing image understanding requires Vision-Language Models (VLMs) to capture both the global scene layout and sparse yet task-critical local details under limited computational budgets. Existing methods mainly follow two paradigms. One is passive perception, which relies on resolution expansion or token compression and may therefore discard fine-grained details. The other is active perception, which depends on multi-round zooming and search, but suffers from high latency, contextual fragmentation, and error accumulation. We argue that a more effective path t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10120","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/2607.10120/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":"2026-07-14T01:20:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qSBYxSLKqYPhAFmcNLuCm3NV1YhAlOoicFI3Yd0nP9njtyFHC2tn4tghgbbRESbEQRUxMS3/5WP161cTfXigBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T13:29:02.976668Z"},"content_sha256":"96538ab267f9afb4cae4ea9e1164072c9058cbc020d6110789c5f8a23544d173","schema_version":"1.0","event_id":"sha256:96538ab267f9afb4cae4ea9e1164072c9058cbc020d6110789c5f8a23544d173"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WFM45NYLQ6Y5P4BCAMD5FBVQX6/bundle.json","state_url":"https://pith.science/pith/WFM45NYLQ6Y5P4BCAMD5FBVQX6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WFM45NYLQ6Y5P4BCAMD5FBVQX6/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":"2026-08-09T13:29:02Z","links":{"resolver":"https://pith.science/pith/WFM45NYLQ6Y5P4BCAMD5FBVQX6","bundle":"https://pith.science/pith/WFM45NYLQ6Y5P4BCAMD5FBVQX6/bundle.json","state":"https://pith.science/pith/WFM45NYLQ6Y5P4BCAMD5FBVQX6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WFM45NYLQ6Y5P4BCAMD5FBVQX6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WFM45NYLQ6Y5P4BCAMD5FBVQX6","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":"716bda0af5c145ee69ce5f452e3fd623abda304357627961f3c52701c8bcf4e8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T04:56:27Z","title_canon_sha256":"673e584804b502137707e9f80ae63eec4755a8ad12786a902f9e196b0faeb238"},"schema_version":"1.0","source":{"id":"2607.10120","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10120","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10120v1","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10120","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"pith_short_12","alias_value":"WFM45NYLQ6Y5","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"pith_short_16","alias_value":"WFM45NYLQ6Y5P4BC","created_at":"2026-07-14T01:20:26Z"},{"alias_kind":"pith_short_8","alias_value":"WFM45NYL","created_at":"2026-07-14T01:20:26Z"}],"graph_snapshots":[{"event_id":"sha256:96538ab267f9afb4cae4ea9e1164072c9058cbc020d6110789c5f8a23544d173","target":"graph","created_at":"2026-07-14T01:20:26Z","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/2607.10120/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ultra-High-Resolution (UHR) remote sensing image understanding requires Vision-Language Models (VLMs) to capture both the global scene layout and sparse yet task-critical local details under limited computational budgets. Existing methods mainly follow two paradigms. One is passive perception, which relies on resolution expansion or token compression and may therefore discard fine-grained details. The other is active perception, which depends on multi-round zooming and search, but suffers from high latency, contextual fragmentation, and error accumulation. We argue that a more effective path t","authors_text":"Changhua Pei, Hao Liu, Jianhui Li, Shujun Wang, Xianzhi Ma, Xiaohan Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T04:56:27Z","title":"WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10120","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:e537e846d878cc8032111478df1ea885d00054b7f6fa28a9e26d0960bca629bf","target":"record","created_at":"2026-07-14T01:20:26Z","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":"716bda0af5c145ee69ce5f452e3fd623abda304357627961f3c52701c8bcf4e8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-11T04:56:27Z","title_canon_sha256":"673e584804b502137707e9f80ae63eec4755a8ad12786a902f9e196b0faeb238"},"schema_version":"1.0","source":{"id":"2607.10120","kind":"arxiv","version":1}},"canonical_sha256":"b159ceb70b87b1d7f0220307d286b0bf908ad42c83a61618857be9ff397cdd8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b159ceb70b87b1d7f0220307d286b0bf908ad42c83a61618857be9ff397cdd8b","first_computed_at":"2026-07-14T01:20:26.211262Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:20:26.211262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uyDixw6Ym8H35kz5P4G0xyvRNpZQYScLnZsY421HCZXRXNBGJWtCI8WOmeqVh255bTf3YFvJJ0w3M6/uqgX4Dg==","signature_status":"signed_v1","signed_at":"2026-07-14T01:20:26.212122Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.10120","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e537e846d878cc8032111478df1ea885d00054b7f6fa28a9e26d0960bca629bf","sha256:96538ab267f9afb4cae4ea9e1164072c9058cbc020d6110789c5f8a23544d173"],"state_sha256":"e4a9aa13db0cf3f938082b95620f34619d87801ecd5c0c73af925effe2974b7f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4zeJkaiMfgCkAVaV7voFQvibZCzBMzNkPpsRNdDnBR2QZrHdaPm7VFkK56b/b/CuifScoEmaFRKY9VPH0lhzAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T13:29:02.982087Z","bundle_sha256":"ebf36b19dc9249ccb242b5f45285524b47af836cdef5a2c9054cd63f12526665"}}