{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6Y2W6VYTSQF3DIT7WTBGOGVF5F","short_pith_number":"pith:6Y2W6VYT","canonical_record":{"source":{"id":"2605.17564","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T17:49:01Z","cross_cats_sorted":[],"title_canon_sha256":"99e7731b613d6629e3ea7aa700652dc68bfcfe88acdb00dd9e3c1e5e10fa5178","abstract_canon_sha256":"7a627998f49c8852bf5e0fe0b457cbc7b4dccad40bd6098cb82620df0dae2057"},"schema_version":"1.0"},"canonical_sha256":"f6356f5713940bb1a27fb4c2671aa5e95282b2452cb4884c2661e0d9c576f38f","source":{"kind":"arxiv","id":"2605.17564","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17564","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17564v1","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17564","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"pith_short_12","alias_value":"6Y2W6VYTSQF3","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"pith_short_16","alias_value":"6Y2W6VYTSQF3DIT7","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"pith_short_8","alias_value":"6Y2W6VYT","created_at":"2026-05-20T00:04:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6Y2W6VYTSQF3DIT7WTBGOGVF5F","target":"record","payload":{"canonical_record":{"source":{"id":"2605.17564","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T17:49:01Z","cross_cats_sorted":[],"title_canon_sha256":"99e7731b613d6629e3ea7aa700652dc68bfcfe88acdb00dd9e3c1e5e10fa5178","abstract_canon_sha256":"7a627998f49c8852bf5e0fe0b457cbc7b4dccad40bd6098cb82620df0dae2057"},"schema_version":"1.0"},"canonical_sha256":"f6356f5713940bb1a27fb4c2671aa5e95282b2452cb4884c2661e0d9c576f38f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:04:46.202278Z","signature_b64":"1zwsZMwyAkRoTN+YtdjJWpl4o34Gx6m7dqaGOp/de0wG+L/yblccWTt9FWKSDX4Q0HZ0c9J1thdNso5ILNApBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6356f5713940bb1a27fb4c2671aa5e95282b2452cb4884c2661e0d9c576f38f","last_reissued_at":"2026-05-20T00:04:46.201449Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:04:46.201449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.17564","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":"2026-05-20T00:04:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zk9GdR2+4oLqcgscrCb/84SaAMdXDJtMsY7UeZT4BPHAkzgfuiFrEOBYqrVsIo1LZv+bubJJ+Rnfeb5k1yFCDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T19:04:36.390466Z"},"content_sha256":"c902329cd38e26ea719e09d12b1210ae2982955ebb3516da8f40258c4df3fe83","schema_version":"1.0","event_id":"sha256:c902329cd38e26ea719e09d12b1210ae2982955ebb3516da8f40258c4df3fe83"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6Y2W6VYTSQF3DIT7WTBGOGVF5F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Conditional U-Net Pipeline with Pre- and Post-Processing for Aerial RGB-to-Thermal Image Translation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Geoffrey H. Siwo, Haoyun Feng, Keenan Gibbons, Matthew Dennis, Shubham Parab, Sikandar Ali, Tseten Sherpa, Verrah Otiende","submitted_at":"2026-05-17T17:49:01Z","abstract_excerpt":"Paired RGB-thermal data has shown significant utility across a range of applications, including image fusion, object tracking, and anomaly detection; however, its broader adoption is constrained by the limited availability of aligned RGB-thermal image pairs. RGB-to-thermal (and vice versa) image translation has emerged as a practical solution to this challenge. Prior approaches including conditional generative adversarial networks (cGANs) such as ThermalGAN and Scalable Interpolant Transformer (SiT)-based architectures such as ThermalGen have demonstrated strong potential for aerial-to-thermal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17564","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/2605.17564/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.599253Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T21:21:57.531431Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"cc7946be93f776c6495b630612bf92ed25f729c0b197ab4fe8817d4852d98f3b"},"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":"2026-05-20T00:04:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hle2I/PG3XMdgQNej3GVTBn0A7KqoQwDE9J8f7xsPA+8URI4UX2amPySp6xzyRp7NIqmjFoaPuB5CpnxA6yODA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T19:04:36.391089Z"},"content_sha256":"f5034e00a42c53ce3a7a9be976b015c513a0d2e00127c7ab57ad528d62fb5659","schema_version":"1.0","event_id":"sha256:f5034e00a42c53ce3a7a9be976b015c513a0d2e00127c7ab57ad528d62fb5659"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6Y2W6VYTSQF3DIT7WTBGOGVF5F/bundle.json","state_url":"https://pith.science/pith/6Y2W6VYTSQF3DIT7WTBGOGVF5F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6Y2W6VYTSQF3DIT7WTBGOGVF5F/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":"2026-05-21T19:04:36Z","links":{"resolver":"https://pith.science/pith/6Y2W6VYTSQF3DIT7WTBGOGVF5F","bundle":"https://pith.science/pith/6Y2W6VYTSQF3DIT7WTBGOGVF5F/bundle.json","state":"https://pith.science/pith/6Y2W6VYTSQF3DIT7WTBGOGVF5F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6Y2W6VYTSQF3DIT7WTBGOGVF5F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6Y2W6VYTSQF3DIT7WTBGOGVF5F","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":"7a627998f49c8852bf5e0fe0b457cbc7b4dccad40bd6098cb82620df0dae2057","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T17:49:01Z","title_canon_sha256":"99e7731b613d6629e3ea7aa700652dc68bfcfe88acdb00dd9e3c1e5e10fa5178"},"schema_version":"1.0","source":{"id":"2605.17564","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17564","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17564v1","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17564","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"pith_short_12","alias_value":"6Y2W6VYTSQF3","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"pith_short_16","alias_value":"6Y2W6VYTSQF3DIT7","created_at":"2026-05-20T00:04:46Z"},{"alias_kind":"pith_short_8","alias_value":"6Y2W6VYT","created_at":"2026-05-20T00:04:46Z"}],"graph_snapshots":[{"event_id":"sha256:f5034e00a42c53ce3a7a9be976b015c513a0d2e00127c7ab57ad528d62fb5659","target":"graph","created_at":"2026-05-20T00:04:46Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.599253Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T21:21:57.531431Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.17564/integrity.json","findings":[],"snapshot_sha256":"cc7946be93f776c6495b630612bf92ed25f729c0b197ab4fe8817d4852d98f3b","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Paired RGB-thermal data has shown significant utility across a range of applications, including image fusion, object tracking, and anomaly detection; however, its broader adoption is constrained by the limited availability of aligned RGB-thermal image pairs. RGB-to-thermal (and vice versa) image translation has emerged as a practical solution to this challenge. Prior approaches including conditional generative adversarial networks (cGANs) such as ThermalGAN and Scalable Interpolant Transformer (SiT)-based architectures such as ThermalGen have demonstrated strong potential for aerial-to-thermal","authors_text":"Geoffrey H. Siwo, Haoyun Feng, Keenan Gibbons, Matthew Dennis, Shubham Parab, Sikandar Ali, Tseten Sherpa, Verrah Otiende","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T17:49:01Z","title":"A Conditional U-Net Pipeline with Pre- and Post-Processing for Aerial RGB-to-Thermal Image Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17564","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:c902329cd38e26ea719e09d12b1210ae2982955ebb3516da8f40258c4df3fe83","target":"record","created_at":"2026-05-20T00:04:46Z","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":"7a627998f49c8852bf5e0fe0b457cbc7b4dccad40bd6098cb82620df0dae2057","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-17T17:49:01Z","title_canon_sha256":"99e7731b613d6629e3ea7aa700652dc68bfcfe88acdb00dd9e3c1e5e10fa5178"},"schema_version":"1.0","source":{"id":"2605.17564","kind":"arxiv","version":1}},"canonical_sha256":"f6356f5713940bb1a27fb4c2671aa5e95282b2452cb4884c2661e0d9c576f38f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6356f5713940bb1a27fb4c2671aa5e95282b2452cb4884c2661e0d9c576f38f","first_computed_at":"2026-05-20T00:04:46.201449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:04:46.201449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1zwsZMwyAkRoTN+YtdjJWpl4o34Gx6m7dqaGOp/de0wG+L/yblccWTt9FWKSDX4Q0HZ0c9J1thdNso5ILNApBQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:04:46.202278Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17564","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c902329cd38e26ea719e09d12b1210ae2982955ebb3516da8f40258c4df3fe83","sha256:f5034e00a42c53ce3a7a9be976b015c513a0d2e00127c7ab57ad528d62fb5659"],"state_sha256":"5c61db1fddcd0e09e80ecfdeca3ee415f1ca0f25e4c2ea1bf9b9c2b82386bc8e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wwzMfxXpZfx0s+hx/altvMdAYGPCcvbmnnGJ9k7K5M1T2HblK/aKPXcroCTsP+eRgg0cafulUcaC2tF2SVxDAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T19:04:36.394439Z","bundle_sha256":"2f5c3085a10df283f590cc458262f63491136292a022fb4a695d943fbb9aab66"}}