{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:266W4XM4RNIA2AJQ6NDQ52GUGJ","short_pith_number":"pith:266W4XM4","canonical_record":{"source":{"id":"2307.11788","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-20T18:30:35Z","cross_cats_sorted":["cs.AI","quant-ph"],"title_canon_sha256":"460ffd89a36973828fe503942861228777d1d89dc44327f6112d7402e9cce3e1","abstract_canon_sha256":"264153fc96889cf96fe63bbc74af3e0ed2eddb11f7f914f595c6715f0027c75b"},"schema_version":"1.0"},"canonical_sha256":"d7bd6e5d9c8b500d0130f3470ee8d4327bdaf77eb8ace7e4b0468a82aade0eb4","source":{"kind":"arxiv","id":"2307.11788","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.11788","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"arxiv_version","alias_value":"2307.11788v3","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.11788","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"pith_short_12","alias_value":"266W4XM4RNIA","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"pith_short_16","alias_value":"266W4XM4RNIA2AJQ","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"pith_short_8","alias_value":"266W4XM4","created_at":"2026-07-05T06:51:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:266W4XM4RNIA2AJQ6NDQ52GUGJ","target":"record","payload":{"canonical_record":{"source":{"id":"2307.11788","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-20T18:30:35Z","cross_cats_sorted":["cs.AI","quant-ph"],"title_canon_sha256":"460ffd89a36973828fe503942861228777d1d89dc44327f6112d7402e9cce3e1","abstract_canon_sha256":"264153fc96889cf96fe63bbc74af3e0ed2eddb11f7f914f595c6715f0027c75b"},"schema_version":"1.0"},"canonical_sha256":"d7bd6e5d9c8b500d0130f3470ee8d4327bdaf77eb8ace7e4b0468a82aade0eb4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:51:27.655991Z","signature_b64":"TQSyi6aHwRp7R9Yo3QfDb0nBqGaOOpOrcCheI/K2ogrxIVx/+utTNAu3lTMiQbGAObD6X0G+tPq6M5rqqRDfAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7bd6e5d9c8b500d0130f3470ee8d4327bdaf77eb8ace7e4b0468a82aade0eb4","last_reissued_at":"2026-07-05T06:51:27.655544Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:51:27.655544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.11788","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:51:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6MqKzs43yEA79pI4DyISjFy+8NjzstCm0yUiDbmw7jNecDZTk2OsBnSfHy3llqO7C2ql5PLHWDD3yRBP1wrRAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:45:18.022159Z"},"content_sha256":"3ff93f2156762f86f4e57e59437b8643cb31fc9dbccdad7955e2012293e845f6","schema_version":"1.0","event_id":"sha256:3ff93f2156762f86f4e57e59437b8643cb31fc9dbccdad7955e2012293e845f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:266W4XM4RNIA2AJQ6NDQ52GUGJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Applying QNLP to sentiment analysis in finance","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","quant-ph"],"primary_cat":"cs.CL","authors_text":"Claudia Linnhoff-Popien, Ivo Christ, Jonas Stein, Maximilian Balthasar Mansky, Nicolas Kraus, Robert M\\\"uller","submitted_at":"2023-07-20T18:30:35Z","abstract_excerpt":"As an application domain where the slightest qualitative improvements can yield immense value, finance is a promising candidate for early quantum advantage. Focusing on the rapidly advancing field of Quantum Natural Language Processing (QNLP), we explore the practical applicability of the two central approaches DisCoCat and Quantum-Enhanced Long Short-Term Memory (QLSTM) to the problem of sentiment analysis in finance. Utilizing a novel ChatGPT-based data generation approach, we conduct a case study with more than 1000 realistic sentences and find that QLSTMs can be trained substantially faste"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.11788","kind":"arxiv","version":3},"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/2307.11788/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":"2026-07-05T06:51:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jyZ8dhPM/AZqArtCP9Lr8uzPdgK0iIY3zAajLmTt3XE1FH/vbHedEWOqcj0dPj5v7057HLNGNz1QrGUfW3wTCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:45:18.022749Z"},"content_sha256":"6ac2f9293face6a826eb1963256ea2cd05b76984d3bd4bd3271d49304c037e9f","schema_version":"1.0","event_id":"sha256:6ac2f9293face6a826eb1963256ea2cd05b76984d3bd4bd3271d49304c037e9f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/266W4XM4RNIA2AJQ6NDQ52GUGJ/bundle.json","state_url":"https://pith.science/pith/266W4XM4RNIA2AJQ6NDQ52GUGJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/266W4XM4RNIA2AJQ6NDQ52GUGJ/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":"2026-08-22T22:45:18Z","links":{"resolver":"https://pith.science/pith/266W4XM4RNIA2AJQ6NDQ52GUGJ","bundle":"https://pith.science/pith/266W4XM4RNIA2AJQ6NDQ52GUGJ/bundle.json","state":"https://pith.science/pith/266W4XM4RNIA2AJQ6NDQ52GUGJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/266W4XM4RNIA2AJQ6NDQ52GUGJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:266W4XM4RNIA2AJQ6NDQ52GUGJ","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":"264153fc96889cf96fe63bbc74af3e0ed2eddb11f7f914f595c6715f0027c75b","cross_cats_sorted":["cs.AI","quant-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-20T18:30:35Z","title_canon_sha256":"460ffd89a36973828fe503942861228777d1d89dc44327f6112d7402e9cce3e1"},"schema_version":"1.0","source":{"id":"2307.11788","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.11788","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"arxiv_version","alias_value":"2307.11788v3","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.11788","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"pith_short_12","alias_value":"266W4XM4RNIA","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"pith_short_16","alias_value":"266W4XM4RNIA2AJQ","created_at":"2026-07-05T06:51:27Z"},{"alias_kind":"pith_short_8","alias_value":"266W4XM4","created_at":"2026-07-05T06:51:27Z"}],"graph_snapshots":[{"event_id":"sha256:6ac2f9293face6a826eb1963256ea2cd05b76984d3bd4bd3271d49304c037e9f","target":"graph","created_at":"2026-07-05T06:51:27Z","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/2307.11788/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As an application domain where the slightest qualitative improvements can yield immense value, finance is a promising candidate for early quantum advantage. Focusing on the rapidly advancing field of Quantum Natural Language Processing (QNLP), we explore the practical applicability of the two central approaches DisCoCat and Quantum-Enhanced Long Short-Term Memory (QLSTM) to the problem of sentiment analysis in finance. Utilizing a novel ChatGPT-based data generation approach, we conduct a case study with more than 1000 realistic sentences and find that QLSTMs can be trained substantially faste","authors_text":"Claudia Linnhoff-Popien, Ivo Christ, Jonas Stein, Maximilian Balthasar Mansky, Nicolas Kraus, Robert M\\\"uller","cross_cats":["cs.AI","quant-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-20T18:30:35Z","title":"Applying QNLP to sentiment analysis in finance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.11788","kind":"arxiv","version":3},"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":"sha256:3ff93f2156762f86f4e57e59437b8643cb31fc9dbccdad7955e2012293e845f6","target":"record","created_at":"2026-07-05T06:51:27Z","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":"264153fc96889cf96fe63bbc74af3e0ed2eddb11f7f914f595c6715f0027c75b","cross_cats_sorted":["cs.AI","quant-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-20T18:30:35Z","title_canon_sha256":"460ffd89a36973828fe503942861228777d1d89dc44327f6112d7402e9cce3e1"},"schema_version":"1.0","source":{"id":"2307.11788","kind":"arxiv","version":3}},"canonical_sha256":"d7bd6e5d9c8b500d0130f3470ee8d4327bdaf77eb8ace7e4b0468a82aade0eb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7bd6e5d9c8b500d0130f3470ee8d4327bdaf77eb8ace7e4b0468a82aade0eb4","first_computed_at":"2026-07-05T06:51:27.655544Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:51:27.655544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TQSyi6aHwRp7R9Yo3QfDb0nBqGaOOpOrcCheI/K2ogrxIVx/+utTNAu3lTMiQbGAObD6X0G+tPq6M5rqqRDfAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:51:27.655991Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.11788","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ff93f2156762f86f4e57e59437b8643cb31fc9dbccdad7955e2012293e845f6","sha256:6ac2f9293face6a826eb1963256ea2cd05b76984d3bd4bd3271d49304c037e9f"],"state_sha256":"006e25d9938dc871cc37baec5230a226cc5960df923ae8b4bc5056d5b207b873"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W+UIkiv8Scogs8SdSvM5d6d2F88DLdzkCLP1EmnNtwtIMFVtQEdVHa06A89iYQsjDP77j00PjYx8L8T1EucFCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T22:45:18.027855Z","bundle_sha256":"f39135a2964b14da94d27f09bba563767d785ec5c4fdc6a03ca36a4b55de3962"}}