{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZIQWEAALIYNYGIPKNZC54R6U6S","short_pith_number":"pith:ZIQWEAAL","canonical_record":{"source":{"id":"2311.07626","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-11-13T08:38:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"89220fa66b999cdd683d1d0cbe2692e1742f7b20f188d617f78b03f3a978cb83","abstract_canon_sha256":"d312bb44ee6caac232b7bdae8a584a53461d0016a4f7c009d9b3dcb8e6922cc4"},"schema_version":"1.0"},"canonical_sha256":"ca2162000b461b8321ea6e45de47d4f4bb94e7967d67442ae8dd9d7449a71653","source":{"kind":"arxiv","id":"2311.07626","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.07626","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"arxiv_version","alias_value":"2311.07626v1","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.07626","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"pith_short_12","alias_value":"ZIQWEAALIYNY","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"pith_short_16","alias_value":"ZIQWEAALIYNYGIPK","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"pith_short_8","alias_value":"ZIQWEAAL","created_at":"2026-07-05T07:12:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZIQWEAALIYNYGIPKNZC54R6U6S","target":"record","payload":{"canonical_record":{"source":{"id":"2311.07626","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-11-13T08:38:44Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"89220fa66b999cdd683d1d0cbe2692e1742f7b20f188d617f78b03f3a978cb83","abstract_canon_sha256":"d312bb44ee6caac232b7bdae8a584a53461d0016a4f7c009d9b3dcb8e6922cc4"},"schema_version":"1.0"},"canonical_sha256":"ca2162000b461b8321ea6e45de47d4f4bb94e7967d67442ae8dd9d7449a71653","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:12:21.268455Z","signature_b64":"vRqcfckwId+G4Z8fZFsh1mC1dBFZ5+Msv/3n6E+7ROU6HK70ct/60+/Lor3/OE5etO5s1TpjVvG2it5kcOTlCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ca2162000b461b8321ea6e45de47d4f4bb94e7967d67442ae8dd9d7449a71653","last_reissued_at":"2026-07-05T07:12:21.268037Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:12:21.268037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.07626","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":"2026-07-05T07:12:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SszPVx9hL4BwWDoFEdLPHT9dSFqU/mGehKa9iP2CSnLkjeOri16CvKZfII/ZX1gqrQgXyYILKPA/Ota+IuXQCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:30:36.126757Z"},"content_sha256":"9ebd612241c1b1495b4ba2189b5d34a6c72a4999de34ebfdeb57bede293cc816","schema_version":"1.0","event_id":"sha256:9ebd612241c1b1495b4ba2189b5d34a6c72a4999de34ebfdeb57bede293cc816"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZIQWEAALIYNYGIPKNZC54R6U6S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum Machine Learning for Remote Sensing: Exploring potential and challenges","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"quant-ph","authors_text":"Artur Miroszewski, Bertrand Le Saux, Jakub Mielczarek, Jakub Nalepa","submitted_at":"2023-11-13T08:38:44Z","abstract_excerpt":"The industry of quantum technologies is rapidly expanding, offering promising opportunities for various scientific domains. Among these emerging technologies, Quantum Machine Learning (QML) has attracted considerable attention due to its potential to revolutionize data processing and analysis. In this paper, we investigate the application of QML in the field of remote sensing. It is believed that QML can provide valuable insights for analysis of data from space. We delve into the common beliefs surrounding the quantum advantage in QML for remote sensing and highlight the open challenges that n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.07626","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/2311.07626/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":"2026-07-05T07:12:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"689BIRQTwFDFeBFG64Okcq5OPu/z8cLtXDFZTOEJOscNC42yFaTTNNrzKlaam0ffijc6jIqYoTUVTsSIvo9hAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:30:36.127870Z"},"content_sha256":"8309e1e54c7b844c5c5e1dc9e56f0b458cf4796009c34e2ecc2dbac12ba29da6","schema_version":"1.0","event_id":"sha256:8309e1e54c7b844c5c5e1dc9e56f0b458cf4796009c34e2ecc2dbac12ba29da6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZIQWEAALIYNYGIPKNZC54R6U6S/bundle.json","state_url":"https://pith.science/pith/ZIQWEAALIYNYGIPKNZC54R6U6S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZIQWEAALIYNYGIPKNZC54R6U6S/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":"2026-08-07T09:30:36Z","links":{"resolver":"https://pith.science/pith/ZIQWEAALIYNYGIPKNZC54R6U6S","bundle":"https://pith.science/pith/ZIQWEAALIYNYGIPKNZC54R6U6S/bundle.json","state":"https://pith.science/pith/ZIQWEAALIYNYGIPKNZC54R6U6S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZIQWEAALIYNYGIPKNZC54R6U6S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZIQWEAALIYNYGIPKNZC54R6U6S","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":"d312bb44ee6caac232b7bdae8a584a53461d0016a4f7c009d9b3dcb8e6922cc4","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-11-13T08:38:44Z","title_canon_sha256":"89220fa66b999cdd683d1d0cbe2692e1742f7b20f188d617f78b03f3a978cb83"},"schema_version":"1.0","source":{"id":"2311.07626","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.07626","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"arxiv_version","alias_value":"2311.07626v1","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.07626","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"pith_short_12","alias_value":"ZIQWEAALIYNY","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"pith_short_16","alias_value":"ZIQWEAALIYNYGIPK","created_at":"2026-07-05T07:12:21Z"},{"alias_kind":"pith_short_8","alias_value":"ZIQWEAAL","created_at":"2026-07-05T07:12:21Z"}],"graph_snapshots":[{"event_id":"sha256:8309e1e54c7b844c5c5e1dc9e56f0b458cf4796009c34e2ecc2dbac12ba29da6","target":"graph","created_at":"2026-07-05T07:12:21Z","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/2311.07626/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The industry of quantum technologies is rapidly expanding, offering promising opportunities for various scientific domains. Among these emerging technologies, Quantum Machine Learning (QML) has attracted considerable attention due to its potential to revolutionize data processing and analysis. In this paper, we investigate the application of QML in the field of remote sensing. It is believed that QML can provide valuable insights for analysis of data from space. We delve into the common beliefs surrounding the quantum advantage in QML for remote sensing and highlight the open challenges that n","authors_text":"Artur Miroszewski, Bertrand Le Saux, Jakub Mielczarek, Jakub Nalepa","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-11-13T08:38:44Z","title":"Quantum Machine Learning for Remote Sensing: Exploring potential and challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.07626","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":"sha256:9ebd612241c1b1495b4ba2189b5d34a6c72a4999de34ebfdeb57bede293cc816","target":"record","created_at":"2026-07-05T07:12:21Z","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":"d312bb44ee6caac232b7bdae8a584a53461d0016a4f7c009d9b3dcb8e6922cc4","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-11-13T08:38:44Z","title_canon_sha256":"89220fa66b999cdd683d1d0cbe2692e1742f7b20f188d617f78b03f3a978cb83"},"schema_version":"1.0","source":{"id":"2311.07626","kind":"arxiv","version":1}},"canonical_sha256":"ca2162000b461b8321ea6e45de47d4f4bb94e7967d67442ae8dd9d7449a71653","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca2162000b461b8321ea6e45de47d4f4bb94e7967d67442ae8dd9d7449a71653","first_computed_at":"2026-07-05T07:12:21.268037Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:12:21.268037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vRqcfckwId+G4Z8fZFsh1mC1dBFZ5+Msv/3n6E+7ROU6HK70ct/60+/Lor3/OE5etO5s1TpjVvG2it5kcOTlCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:12:21.268455Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.07626","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ebd612241c1b1495b4ba2189b5d34a6c72a4999de34ebfdeb57bede293cc816","sha256:8309e1e54c7b844c5c5e1dc9e56f0b458cf4796009c34e2ecc2dbac12ba29da6"],"state_sha256":"dab01843fd5d02d47d01746c358b9c9a68fe5e608bac969b2ec2e9367437e787"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+1kxnwXe+Y3yyytA3lYxRp081JejhkQagdhIO9oiXMf1U3XG0vKOkrZtO+cPbl1wy1Xhk0mzqFOo8Q7CHU34Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T09:30:36.135120Z","bundle_sha256":"53a87c6fec0da3996d7c015bd1db5efb954cf3ff8859a52484c58139ac629f24"}}