{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:OKDLB7VTROTH6RXPBWZRHHWHMD","short_pith_number":"pith:OKDLB7VT","canonical_record":{"source":{"id":"1812.09276","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-21T17:36:35Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"71d459d27445cb4b56af04d326779664f9dbe29beb63bf1a35c88ca28766d7ae","abstract_canon_sha256":"b80bace7174f0113dd994798e6d9592a2e3f47adf300e747307c7d011cd7d769"},"schema_version":"1.0"},"canonical_sha256":"7286b0feb38ba67f46ef0db3139ec760c2e21c9d0661c7447e35c39d8f9ff7e8","source":{"kind":"arxiv","id":"1812.09276","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.09276","created_at":"2026-05-17T23:57:44Z"},{"alias_kind":"arxiv_version","alias_value":"1812.09276v1","created_at":"2026-05-17T23:57:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.09276","created_at":"2026-05-17T23:57:44Z"},{"alias_kind":"pith_short_12","alias_value":"OKDLB7VTROTH","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OKDLB7VTROTH6RXP","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OKDLB7VT","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:OKDLB7VTROTH6RXPBWZRHHWHMD","target":"record","payload":{"canonical_record":{"source":{"id":"1812.09276","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-21T17:36:35Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"71d459d27445cb4b56af04d326779664f9dbe29beb63bf1a35c88ca28766d7ae","abstract_canon_sha256":"b80bace7174f0113dd994798e6d9592a2e3f47adf300e747307c7d011cd7d769"},"schema_version":"1.0"},"canonical_sha256":"7286b0feb38ba67f46ef0db3139ec760c2e21c9d0661c7447e35c39d8f9ff7e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:57:44.896162Z","signature_b64":"ujUIPuOq+tQ8M3mgfMtgKi2QyxMd0+jkcFuCX1Zhxbinp63ssbXF+kd3VVlfmYg3yLdAa9/vZcHW50X5ate8Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7286b0feb38ba67f46ef0db3139ec760c2e21c9d0661c7447e35c39d8f9ff7e8","last_reissued_at":"2026-05-17T23:57:44.895646Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:57:44.895646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.09276","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":"2026-05-17T23:57:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S7XwhH7I6QozYw8srG5wTjBjVQhsC1Mby/Iw+LQSMwQQnBuTnkcKeyxRzei2uObFO8UAid5mm1vF7YX7gJR5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T17:41:31.318250Z"},"content_sha256":"dc88e7c5f46f33912cbf33b50af9aab3968be69920ac78301ccf3c5758907172","schema_version":"1.0","event_id":"sha256:dc88e7c5f46f33912cbf33b50af9aab3968be69920ac78301ccf3c5758907172"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:OKDLB7VTROTH6RXPBWZRHHWHMD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multimodal Sensor Fusion In Single Thermal image Super-Resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Feras Almasri, Olivier Debeir","submitted_at":"2018-12-21T17:36:35Z","abstract_excerpt":"With the fast growth in the visual surveillance and security sectors, thermal infrared images have become increasingly necessary ina large variety of industrial applications. This is true even though IR sensors are still more expensive than their RGB counterpart having the same resolution. In this paper, we propose a deep learning solution to enhance the thermal image resolution. The following results are given:(I) Introduction of a multimodal, visual-thermal fusion model that ad-dresses thermal image super-resolution, via integrating high-frequency information from the visual image. (II) Inve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.09276","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":""},"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":"2026-05-17T23:57:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ARSRFVDwliZVcLj2bBnsc8arKKIR6yRXlvX12YoGU4MlTsI+CMKLT8y/fZqtBeMzSVIcFGwBgzdOOzD/J/9ZBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T17:41:31.318922Z"},"content_sha256":"3bdae8c3ddd93d3b12649f701b5d0166ea5c8e3ee8ecfdb28a9b6c5b3db51780","schema_version":"1.0","event_id":"sha256:3bdae8c3ddd93d3b12649f701b5d0166ea5c8e3ee8ecfdb28a9b6c5b3db51780"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OKDLB7VTROTH6RXPBWZRHHWHMD/bundle.json","state_url":"https://pith.science/pith/OKDLB7VTROTH6RXPBWZRHHWHMD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OKDLB7VTROTH6RXPBWZRHHWHMD/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":"2026-08-13T17:41:31Z","links":{"resolver":"https://pith.science/pith/OKDLB7VTROTH6RXPBWZRHHWHMD","bundle":"https://pith.science/pith/OKDLB7VTROTH6RXPBWZRHHWHMD/bundle.json","state":"https://pith.science/pith/OKDLB7VTROTH6RXPBWZRHHWHMD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OKDLB7VTROTH6RXPBWZRHHWHMD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OKDLB7VTROTH6RXPBWZRHHWHMD","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":"b80bace7174f0113dd994798e6d9592a2e3f47adf300e747307c7d011cd7d769","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-21T17:36:35Z","title_canon_sha256":"71d459d27445cb4b56af04d326779664f9dbe29beb63bf1a35c88ca28766d7ae"},"schema_version":"1.0","source":{"id":"1812.09276","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.09276","created_at":"2026-05-17T23:57:44Z"},{"alias_kind":"arxiv_version","alias_value":"1812.09276v1","created_at":"2026-05-17T23:57:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.09276","created_at":"2026-05-17T23:57:44Z"},{"alias_kind":"pith_short_12","alias_value":"OKDLB7VTROTH","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OKDLB7VTROTH6RXP","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OKDLB7VT","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:3bdae8c3ddd93d3b12649f701b5d0166ea5c8e3ee8ecfdb28a9b6c5b3db51780","target":"graph","created_at":"2026-05-17T23:57:44Z","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"},"paper":{"abstract_excerpt":"With the fast growth in the visual surveillance and security sectors, thermal infrared images have become increasingly necessary ina large variety of industrial applications. This is true even though IR sensors are still more expensive than their RGB counterpart having the same resolution. In this paper, we propose a deep learning solution to enhance the thermal image resolution. The following results are given:(I) Introduction of a multimodal, visual-thermal fusion model that ad-dresses thermal image super-resolution, via integrating high-frequency information from the visual image. (II) Inve","authors_text":"Feras Almasri, Olivier Debeir","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-21T17:36:35Z","title":"Multimodal Sensor Fusion In Single Thermal image Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.09276","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:dc88e7c5f46f33912cbf33b50af9aab3968be69920ac78301ccf3c5758907172","target":"record","created_at":"2026-05-17T23:57:44Z","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":"b80bace7174f0113dd994798e6d9592a2e3f47adf300e747307c7d011cd7d769","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-21T17:36:35Z","title_canon_sha256":"71d459d27445cb4b56af04d326779664f9dbe29beb63bf1a35c88ca28766d7ae"},"schema_version":"1.0","source":{"id":"1812.09276","kind":"arxiv","version":1}},"canonical_sha256":"7286b0feb38ba67f46ef0db3139ec760c2e21c9d0661c7447e35c39d8f9ff7e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7286b0feb38ba67f46ef0db3139ec760c2e21c9d0661c7447e35c39d8f9ff7e8","first_computed_at":"2026-05-17T23:57:44.895646Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:57:44.895646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ujUIPuOq+tQ8M3mgfMtgKi2QyxMd0+jkcFuCX1Zhxbinp63ssbXF+kd3VVlfmYg3yLdAa9/vZcHW50X5ate8Dw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:57:44.896162Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.09276","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc88e7c5f46f33912cbf33b50af9aab3968be69920ac78301ccf3c5758907172","sha256:3bdae8c3ddd93d3b12649f701b5d0166ea5c8e3ee8ecfdb28a9b6c5b3db51780"],"state_sha256":"f4b99e660626c00334b49e987d4f0704e7d8b5c3deb49a351568417b26103cd4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VItLyHTtVxtHPtbUrNNhhNxvs6kDb0OT2//kWhLghYYEr9yNOCdVJX25Yyz7jWmn0824OPtGsd7kkaxAVdYKCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T17:41:31.347495Z","bundle_sha256":"6a7ec3c30e3bbf17f929b6fa48720ad36bd41a2f477da8e2b3334b3f352d30be"}}