{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZSX2725YFCCN5BZCAB3FE2HNM5","short_pith_number":"pith:ZSX2725Y","canonical_record":{"source":{"id":"2510.22868","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T23:19:28Z","cross_cats_sorted":[],"title_canon_sha256":"a6ef29febf46c62ab2b4aa8f68f9e4784a493801f7ec11805b06ec7f4238e5a5","abstract_canon_sha256":"c6ac8b503bb80eb88e084fe4700c6dea1571ed2c2a601e483f5dd915981f57a2"},"schema_version":"1.0"},"canonical_sha256":"ccafafebb82884de872200765268ed67611035024fd6ac8cfa1b34e24ce5fc49","source":{"kind":"arxiv","id":"2510.22868","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.22868","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"arxiv_version","alias_value":"2510.22868v2","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.22868","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"pith_short_12","alias_value":"ZSX2725YFCCN","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"pith_short_16","alias_value":"ZSX2725YFCCN5BZC","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"pith_short_8","alias_value":"ZSX2725Y","created_at":"2026-08-04T01:51:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZSX2725YFCCN5BZCAB3FE2HNM5","target":"record","payload":{"canonical_record":{"source":{"id":"2510.22868","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T23:19:28Z","cross_cats_sorted":[],"title_canon_sha256":"a6ef29febf46c62ab2b4aa8f68f9e4784a493801f7ec11805b06ec7f4238e5a5","abstract_canon_sha256":"c6ac8b503bb80eb88e084fe4700c6dea1571ed2c2a601e483f5dd915981f57a2"},"schema_version":"1.0"},"canonical_sha256":"ccafafebb82884de872200765268ed67611035024fd6ac8cfa1b34e24ce5fc49","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T01:51:51.717076Z","signature_b64":"CJa5JRM1Z11/5fpIQFf4q54RMN0XYSs9tZSHp4zplaSJ8cp+N6popiSggKcuKCfXlutdOJYBEAkKivrVDTRQAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ccafafebb82884de872200765268ed67611035024fd6ac8cfa1b34e24ce5fc49","last_reissued_at":"2026-08-04T01:51:51.715521Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T01:51:51.715521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2510.22868","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":"2026-08-04T01:51:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8jS/wCC2eeu5OY8okjEKf2f+6+bG29kXMYJpbpfv4LlAk+f79xCHsavxYJ4CwfGjVK1oDeFTdMkFsHPxzBySCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:36:51.784383Z"},"content_sha256":"c50a779dc84650d1dda27cbafe99a0fa9567d929722598b0e3459428c5c20131","schema_version":"1.0","event_id":"sha256:c50a779dc84650d1dda27cbafe99a0fa9567d929722598b0e3459428c5c20131"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZSX2725YFCCN5BZCAB3FE2HNM5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Seeing the Unseen: Towards Training-Free Inspection for Wind Turbine Blades Using Knowledge-Augmented Vision Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Farhad Imani, Jiong Tang, Qianyu Zhou, Yang Zhang","submitted_at":"2025-10-26T23:19:28Z","abstract_excerpt":"Wind turbine blades operate in harsh environments, making timely damage detection essential for preventing failures and optimizing maintenance. Drone-based inspection and deep learning are promising, but typically depend on large, labeled datasets, which limit their ability to detect rare or evolving damage types. To address this, we propose a zero-shot-oriented inspection framework that integrates Retrieval-Augmented Generation (RAG) with Vision-Language Models (VLM). A multimodal knowledge base is constructed, comprising technical documentation, representative reference images, and domain-sp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.22868","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/2510.22868/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":"2026-08-04T01:51:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S0gHzq4AWjNGKmmGYZlJxYHWHhWjc+rYdapl58k5rEZSVuZL5jm6F+Ya198Fc+DT6KA+eD3N6ummacVlQZ0JAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:36:51.784930Z"},"content_sha256":"5a9265048865af5f40676ff42ee96a6cdc2e255ad0ea0ab6b398c80e84a95171","schema_version":"1.0","event_id":"sha256:5a9265048865af5f40676ff42ee96a6cdc2e255ad0ea0ab6b398c80e84a95171"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZSX2725YFCCN5BZCAB3FE2HNM5/bundle.json","state_url":"https://pith.science/pith/ZSX2725YFCCN5BZCAB3FE2HNM5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZSX2725YFCCN5BZCAB3FE2HNM5/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":"2026-08-07T18:36:51Z","links":{"resolver":"https://pith.science/pith/ZSX2725YFCCN5BZCAB3FE2HNM5","bundle":"https://pith.science/pith/ZSX2725YFCCN5BZCAB3FE2HNM5/bundle.json","state":"https://pith.science/pith/ZSX2725YFCCN5BZCAB3FE2HNM5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZSX2725YFCCN5BZCAB3FE2HNM5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZSX2725YFCCN5BZCAB3FE2HNM5","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":"c6ac8b503bb80eb88e084fe4700c6dea1571ed2c2a601e483f5dd915981f57a2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T23:19:28Z","title_canon_sha256":"a6ef29febf46c62ab2b4aa8f68f9e4784a493801f7ec11805b06ec7f4238e5a5"},"schema_version":"1.0","source":{"id":"2510.22868","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.22868","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"arxiv_version","alias_value":"2510.22868v2","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.22868","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"pith_short_12","alias_value":"ZSX2725YFCCN","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"pith_short_16","alias_value":"ZSX2725YFCCN5BZC","created_at":"2026-08-04T01:51:51Z"},{"alias_kind":"pith_short_8","alias_value":"ZSX2725Y","created_at":"2026-08-04T01:51:51Z"}],"graph_snapshots":[{"event_id":"sha256:5a9265048865af5f40676ff42ee96a6cdc2e255ad0ea0ab6b398c80e84a95171","target":"graph","created_at":"2026-08-04T01:51:51Z","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/2510.22868/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Wind turbine blades operate in harsh environments, making timely damage detection essential for preventing failures and optimizing maintenance. Drone-based inspection and deep learning are promising, but typically depend on large, labeled datasets, which limit their ability to detect rare or evolving damage types. To address this, we propose a zero-shot-oriented inspection framework that integrates Retrieval-Augmented Generation (RAG) with Vision-Language Models (VLM). A multimodal knowledge base is constructed, comprising technical documentation, representative reference images, and domain-sp","authors_text":"Farhad Imani, Jiong Tang, Qianyu Zhou, Yang Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T23:19:28Z","title":"Seeing the Unseen: Towards Training-Free Inspection for Wind Turbine Blades Using Knowledge-Augmented Vision Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.22868","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:c50a779dc84650d1dda27cbafe99a0fa9567d929722598b0e3459428c5c20131","target":"record","created_at":"2026-08-04T01:51:51Z","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":"c6ac8b503bb80eb88e084fe4700c6dea1571ed2c2a601e483f5dd915981f57a2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-26T23:19:28Z","title_canon_sha256":"a6ef29febf46c62ab2b4aa8f68f9e4784a493801f7ec11805b06ec7f4238e5a5"},"schema_version":"1.0","source":{"id":"2510.22868","kind":"arxiv","version":2}},"canonical_sha256":"ccafafebb82884de872200765268ed67611035024fd6ac8cfa1b34e24ce5fc49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ccafafebb82884de872200765268ed67611035024fd6ac8cfa1b34e24ce5fc49","first_computed_at":"2026-08-04T01:51:51.715521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T01:51:51.715521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CJa5JRM1Z11/5fpIQFf4q54RMN0XYSs9tZSHp4zplaSJ8cp+N6popiSggKcuKCfXlutdOJYBEAkKivrVDTRQAg==","signature_status":"signed_v1","signed_at":"2026-08-04T01:51:51.717076Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.22868","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c50a779dc84650d1dda27cbafe99a0fa9567d929722598b0e3459428c5c20131","sha256:5a9265048865af5f40676ff42ee96a6cdc2e255ad0ea0ab6b398c80e84a95171"],"state_sha256":"019360f58467f401a273d4e1b5fbcf192e5f5752162abbab0c4752ae4d657128"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3oUPH0idumS2tC+ij/YEqCCFekhR5CCovFFGz/1uAqn9ENqN2PzmqBNBTX3K9qn1C4kb7cjuGH9HSiIqvU2ZBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:36:51.795208Z","bundle_sha256":"b4a35a5418432ed54c8ce821cbc012e633d0503934fc3e883e096ee248188ccd"}}