{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CSU7CEWR34NSJ33DEC3FDOPEAA","short_pith_number":"pith:CSU7CEWR","canonical_record":{"source":{"id":"2310.05512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-10-09T08:27:35Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2c00fc6edede68bdf9a4314feb9a0f4565258aa333d9ee9be1643846b82b619e","abstract_canon_sha256":"06556acaa954b344d53340ae7d8d17b138cc0faa7dca3fe62ce447dbf3d935a8"},"schema_version":"1.0"},"canonical_sha256":"14a9f112d1df1b24ef6320b651b9e40032a1ccafd6b02d651e148b32919d7f39","source":{"kind":"arxiv","id":"2310.05512","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.05512","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"arxiv_version","alias_value":"2310.05512v1","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.05512","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"pith_short_12","alias_value":"CSU7CEWR34NS","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"pith_short_16","alias_value":"CSU7CEWR34NSJ33D","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"pith_short_8","alias_value":"CSU7CEWR","created_at":"2026-07-05T06:58:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CSU7CEWR34NSJ33DEC3FDOPEAA","target":"record","payload":{"canonical_record":{"source":{"id":"2310.05512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-10-09T08:27:35Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2c00fc6edede68bdf9a4314feb9a0f4565258aa333d9ee9be1643846b82b619e","abstract_canon_sha256":"06556acaa954b344d53340ae7d8d17b138cc0faa7dca3fe62ce447dbf3d935a8"},"schema_version":"1.0"},"canonical_sha256":"14a9f112d1df1b24ef6320b651b9e40032a1ccafd6b02d651e148b32919d7f39","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:58:46.352275Z","signature_b64":"6+hf/wcKwHK+P+cjonfMNOjfBH7e3x7qDwWGiXpXp1bZTih2n9Wkt44Rspuqv2sX8yGFPsVmna9dahLqfbiIBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14a9f112d1df1b24ef6320b651b9e40032a1ccafd6b02d651e148b32919d7f39","last_reissued_at":"2026-07-05T06:58:46.351707Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:58:46.351707Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.05512","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":"2026-07-05T06:58:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ep8d69s1DJF849JHobb1YKjRqcSVe1fFxUtmU7PCeHS6XwAdmFzxCnoRcWEc5hEnhOB3msraue7sGanwnVBwBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T09:17:31.278244Z"},"content_sha256":"ffb5a81902d22dcfad908a97b92b9a22deb7f38c0d5a95525d678ae6323d7cba","schema_version":"1.0","event_id":"sha256:ffb5a81902d22dcfad908a97b92b9a22deb7f38c0d5a95525d678ae6323d7cba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CSU7CEWR34NSJ33DEC3FDOPEAA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UAVs and Neural Networks for search and rescue missions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.AI","authors_text":"Artur Leinweber, Dominik Slomma, Gerhard Senkowski, Hartmut Surmann, Julien Meine","submitted_at":"2023-10-09T08:27:35Z","abstract_excerpt":"In this paper, we present a method for detecting objects of interest, including cars, humans, and fire, in aerial images captured by unmanned aerial vehicles (UAVs) usually during vegetation fires. To achieve this, we use artificial neural networks and create a dataset for supervised learning. We accomplish the assisted labeling of the dataset through the implementation of an object detection pipeline that combines classic image processing techniques with pretrained neural networks. In addition, we develop a data augmentation pipeline to augment the dataset with automatically labeled images. F"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.05512","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/2310.05512/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":"2026-07-05T06:58:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7/QhSvTq2xlaYk2r5hBdkJaRlWjN91fIldQV2zH+eALl6KNWv6CuU1KbyE3fnJXEr+enGOLxMFbvcKX9AiBBAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T09:17:31.278626Z"},"content_sha256":"1c0eaf605a90d205919987a20d18a6dca6afe8b32b0d1954d4a645a8755abe5e","schema_version":"1.0","event_id":"sha256:1c0eaf605a90d205919987a20d18a6dca6afe8b32b0d1954d4a645a8755abe5e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CSU7CEWR34NSJ33DEC3FDOPEAA/bundle.json","state_url":"https://pith.science/pith/CSU7CEWR34NSJ33DEC3FDOPEAA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CSU7CEWR34NSJ33DEC3FDOPEAA/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":"2026-07-10T09:17:31Z","links":{"resolver":"https://pith.science/pith/CSU7CEWR34NSJ33DEC3FDOPEAA","bundle":"https://pith.science/pith/CSU7CEWR34NSJ33DEC3FDOPEAA/bundle.json","state":"https://pith.science/pith/CSU7CEWR34NSJ33DEC3FDOPEAA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CSU7CEWR34NSJ33DEC3FDOPEAA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CSU7CEWR34NSJ33DEC3FDOPEAA","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":"06556acaa954b344d53340ae7d8d17b138cc0faa7dca3fe62ce447dbf3d935a8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-10-09T08:27:35Z","title_canon_sha256":"2c00fc6edede68bdf9a4314feb9a0f4565258aa333d9ee9be1643846b82b619e"},"schema_version":"1.0","source":{"id":"2310.05512","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.05512","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"arxiv_version","alias_value":"2310.05512v1","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.05512","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"pith_short_12","alias_value":"CSU7CEWR34NS","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"pith_short_16","alias_value":"CSU7CEWR34NSJ33D","created_at":"2026-07-05T06:58:46Z"},{"alias_kind":"pith_short_8","alias_value":"CSU7CEWR","created_at":"2026-07-05T06:58:46Z"}],"graph_snapshots":[{"event_id":"sha256:1c0eaf605a90d205919987a20d18a6dca6afe8b32b0d1954d4a645a8755abe5e","target":"graph","created_at":"2026-07-05T06:58:46Z","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/2310.05512/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present a method for detecting objects of interest, including cars, humans, and fire, in aerial images captured by unmanned aerial vehicles (UAVs) usually during vegetation fires. To achieve this, we use artificial neural networks and create a dataset for supervised learning. We accomplish the assisted labeling of the dataset through the implementation of an object detection pipeline that combines classic image processing techniques with pretrained neural networks. In addition, we develop a data augmentation pipeline to augment the dataset with automatically labeled images. F","authors_text":"Artur Leinweber, Dominik Slomma, Gerhard Senkowski, Hartmut Surmann, Julien Meine","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-10-09T08:27:35Z","title":"UAVs and Neural Networks for search and rescue missions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.05512","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:ffb5a81902d22dcfad908a97b92b9a22deb7f38c0d5a95525d678ae6323d7cba","target":"record","created_at":"2026-07-05T06:58:46Z","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":"06556acaa954b344d53340ae7d8d17b138cc0faa7dca3fe62ce447dbf3d935a8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-10-09T08:27:35Z","title_canon_sha256":"2c00fc6edede68bdf9a4314feb9a0f4565258aa333d9ee9be1643846b82b619e"},"schema_version":"1.0","source":{"id":"2310.05512","kind":"arxiv","version":1}},"canonical_sha256":"14a9f112d1df1b24ef6320b651b9e40032a1ccafd6b02d651e148b32919d7f39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"14a9f112d1df1b24ef6320b651b9e40032a1ccafd6b02d651e148b32919d7f39","first_computed_at":"2026-07-05T06:58:46.351707Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:58:46.351707Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6+hf/wcKwHK+P+cjonfMNOjfBH7e3x7qDwWGiXpXp1bZTih2n9Wkt44Rspuqv2sX8yGFPsVmna9dahLqfbiIBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:58:46.352275Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.05512","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ffb5a81902d22dcfad908a97b92b9a22deb7f38c0d5a95525d678ae6323d7cba","sha256:1c0eaf605a90d205919987a20d18a6dca6afe8b32b0d1954d4a645a8755abe5e"],"state_sha256":"e29615e490ee523012f20dfaa2c0921430e57c38e8de37ff5792781a511bb2fa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"obcAOgE0kher4tYl1GCPPsHVTF4sTu9Qbs11lKAN10RVfTyNf+sXAeH1vGcpQCm6kWfH8LKx4JiSjiWl0FkLBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T09:17:31.280511Z","bundle_sha256":"d8913c57a19a34fbb8349d3ec53404e8eb58f94dae1023612279a5647ea3f095"}}