{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RQNB5QNDZJMECKCZ6OGVTCKDPW","short_pith_number":"pith:RQNB5QND","canonical_record":{"source":{"id":"2412.18505","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T15:43:04Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6f2c8e6df4987a2f5d700069ea663b453b38c15f12ddeba27fbfd10d6ea80d44","abstract_canon_sha256":"d505aa76f5a721c76f102c68cd79d5335bf1556b6d81383caeba162d640b3257"},"schema_version":"1.0"},"canonical_sha256":"8c1a1ec1a3ca58412859f38d5989437d8eee877831e5ea7a0655abb7ef6ad4f3","source":{"kind":"arxiv","id":"2412.18505","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.18505","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"arxiv_version","alias_value":"2412.18505v2","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.18505","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"pith_short_12","alias_value":"RQNB5QNDZJME","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"pith_short_16","alias_value":"RQNB5QNDZJMECKCZ","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"pith_short_8","alias_value":"RQNB5QND","created_at":"2026-07-05T11:17:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RQNB5QNDZJMECKCZ6OGVTCKDPW","target":"record","payload":{"canonical_record":{"source":{"id":"2412.18505","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T15:43:04Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6f2c8e6df4987a2f5d700069ea663b453b38c15f12ddeba27fbfd10d6ea80d44","abstract_canon_sha256":"d505aa76f5a721c76f102c68cd79d5335bf1556b6d81383caeba162d640b3257"},"schema_version":"1.0"},"canonical_sha256":"8c1a1ec1a3ca58412859f38d5989437d8eee877831e5ea7a0655abb7ef6ad4f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:39.450471Z","signature_b64":"iK1t/hsUimC5c4QcI+iSrlue6i4t8XdFKPdDpFaeEyKdeDega7qIFdaM04Vxx+/kfLldHHFZbIxrk5GI7bcDCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8c1a1ec1a3ca58412859f38d5989437d8eee877831e5ea7a0655abb7ef6ad4f3","last_reissued_at":"2026-07-05T11:17:39.449989Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:39.449989Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.18505","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":"2026-07-05T11:17:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WNnEcHg5XbhAhJbhQ/Z9f6j9K/J6ZCP8mkVnNJG/wHRoL+b+WtM2AFaZL6Akk6s4K770q+ymBoltpso4kAjMAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T22:43:15.025735Z"},"content_sha256":"52644a96826663ebfecf1434f685de0345e01a90dbaddbc817b7acd09ee6adc1","schema_version":"1.0","event_id":"sha256:52644a96826663ebfecf1434f685de0345e01a90dbaddbc817b7acd09ee6adc1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RQNB5QNDZJMECKCZ6OGVTCKDPW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Edward J. Oughton, James E. Gallagher","submitted_at":"2024-12-24T15:43:04Z","abstract_excerpt":"This paper presents the Visual Optical Recognition Telemetry EXtraction (VORTEX) system for extracting and analyzing drone telemetry data from First Person View (FPV) Uncrewed Aerial System (UAS) footage. VORTEX employs MMOCR, a PyTorch-based Optical Character Recognition (OCR) toolbox, to extract telemetry variables from drone Heads Up Display (HUD) recordings, utilizing advanced image preprocessing techniques, including CLAHE enhancement and adaptive thresholding. The study optimizes spatial accuracy and computational efficiency through systematic investigation of temporal sampling rates (1s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.18505","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/2412.18505/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":"2026-07-05T11:17:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9nNoS+Z38V3O7EqUhAlg8aiUVx5InT2psgUmAAu2v6Qjyliqp0n3DEIJZh+ogw1eXEM7i+1Ky+rF4pYK+BqDBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T22:43:15.037292Z"},"content_sha256":"bfc2b2575b187fa1c8222d21a652f30e59c029e88146bd45ade42ba3587a09ca","schema_version":"1.0","event_id":"sha256:bfc2b2575b187fa1c8222d21a652f30e59c029e88146bd45ade42ba3587a09ca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RQNB5QNDZJMECKCZ6OGVTCKDPW/bundle.json","state_url":"https://pith.science/pith/RQNB5QNDZJMECKCZ6OGVTCKDPW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RQNB5QNDZJMECKCZ6OGVTCKDPW/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":"2026-08-13T22:43:15Z","links":{"resolver":"https://pith.science/pith/RQNB5QNDZJMECKCZ6OGVTCKDPW","bundle":"https://pith.science/pith/RQNB5QNDZJMECKCZ6OGVTCKDPW/bundle.json","state":"https://pith.science/pith/RQNB5QNDZJMECKCZ6OGVTCKDPW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RQNB5QNDZJMECKCZ6OGVTCKDPW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RQNB5QNDZJMECKCZ6OGVTCKDPW","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":"d505aa76f5a721c76f102c68cd79d5335bf1556b6d81383caeba162d640b3257","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T15:43:04Z","title_canon_sha256":"6f2c8e6df4987a2f5d700069ea663b453b38c15f12ddeba27fbfd10d6ea80d44"},"schema_version":"1.0","source":{"id":"2412.18505","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.18505","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"arxiv_version","alias_value":"2412.18505v2","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.18505","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"pith_short_12","alias_value":"RQNB5QNDZJME","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"pith_short_16","alias_value":"RQNB5QNDZJMECKCZ","created_at":"2026-07-05T11:17:39Z"},{"alias_kind":"pith_short_8","alias_value":"RQNB5QND","created_at":"2026-07-05T11:17:39Z"}],"graph_snapshots":[{"event_id":"sha256:bfc2b2575b187fa1c8222d21a652f30e59c029e88146bd45ade42ba3587a09ca","target":"graph","created_at":"2026-07-05T11:17:39Z","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/2412.18505/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents the Visual Optical Recognition Telemetry EXtraction (VORTEX) system for extracting and analyzing drone telemetry data from First Person View (FPV) Uncrewed Aerial System (UAS) footage. VORTEX employs MMOCR, a PyTorch-based Optical Character Recognition (OCR) toolbox, to extract telemetry variables from drone Heads Up Display (HUD) recordings, utilizing advanced image preprocessing techniques, including CLAHE enhancement and adaptive thresholding. The study optimizes spatial accuracy and computational efficiency through systematic investigation of temporal sampling rates (1s","authors_text":"Edward J. Oughton, James E. Gallagher","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T15:43:04Z","title":"VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.18505","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":"sha256:52644a96826663ebfecf1434f685de0345e01a90dbaddbc817b7acd09ee6adc1","target":"record","created_at":"2026-07-05T11:17:39Z","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":"d505aa76f5a721c76f102c68cd79d5335bf1556b6d81383caeba162d640b3257","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T15:43:04Z","title_canon_sha256":"6f2c8e6df4987a2f5d700069ea663b453b38c15f12ddeba27fbfd10d6ea80d44"},"schema_version":"1.0","source":{"id":"2412.18505","kind":"arxiv","version":2}},"canonical_sha256":"8c1a1ec1a3ca58412859f38d5989437d8eee877831e5ea7a0655abb7ef6ad4f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8c1a1ec1a3ca58412859f38d5989437d8eee877831e5ea7a0655abb7ef6ad4f3","first_computed_at":"2026-07-05T11:17:39.449989Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:39.449989Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iK1t/hsUimC5c4QcI+iSrlue6i4t8XdFKPdDpFaeEyKdeDega7qIFdaM04Vxx+/kfLldHHFZbIxrk5GI7bcDCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:39.450471Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.18505","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52644a96826663ebfecf1434f685de0345e01a90dbaddbc817b7acd09ee6adc1","sha256:bfc2b2575b187fa1c8222d21a652f30e59c029e88146bd45ade42ba3587a09ca"],"state_sha256":"c4728b8e7ccc6871bd9dcab5a371cd44e0632945612ef35fc1364538e5ae7b68"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"00OV1m87+IUP7Mss1jx0Ar16WtRFNRMu5dFn/U5ow2yP4CGaMUXBhW6YrD7eLmbXtNzScaeuys9dWOkKTPUAAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T22:43:15.059086Z","bundle_sha256":"6c5c582f82f02ba38f392658c2e1c90fb3129d311aaafafc642c8bfc30f0e541"}}