{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:Q43CFHQKFKDZPHI2SAXBVAAHR2","short_pith_number":"pith:Q43CFHQK","canonical_record":{"source":{"id":"2407.10554","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T09:07:07Z","cross_cats_sorted":[],"title_canon_sha256":"f05806cf66c6800806d0d51319c6d0070a89a63697de6cf884910e32d4bf2ae7","abstract_canon_sha256":"31bac1f7aff5a820b7d4999e424be5974e782e11e7118937b3304ea3a6bce121"},"schema_version":"1.0"},"canonical_sha256":"8736229e0a2a87979d1a902e1a80078ebee57a7a8cda2ac10baa015276a2ec31","source":{"kind":"arxiv","id":"2407.10554","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.10554","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"2407.10554v1","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.10554","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"Q43CFHQKFKDZ","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"pith_short_16","alias_value":"Q43CFHQKFKDZPHI2","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"pith_short_8","alias_value":"Q43CFHQK","created_at":"2026-07-05T08:44:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:Q43CFHQKFKDZPHI2SAXBVAAHR2","target":"record","payload":{"canonical_record":{"source":{"id":"2407.10554","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T09:07:07Z","cross_cats_sorted":[],"title_canon_sha256":"f05806cf66c6800806d0d51319c6d0070a89a63697de6cf884910e32d4bf2ae7","abstract_canon_sha256":"31bac1f7aff5a820b7d4999e424be5974e782e11e7118937b3304ea3a6bce121"},"schema_version":"1.0"},"canonical_sha256":"8736229e0a2a87979d1a902e1a80078ebee57a7a8cda2ac10baa015276a2ec31","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:44:01.070654Z","signature_b64":"aG0vIpewazspzaMOzJwDShyB1UnktM4xjP7+FczDQ+VGGRPGQsCFFoDPYqHOtjpYD7eBWBLP1aGCywosn+vxAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8736229e0a2a87979d1a902e1a80078ebee57a7a8cda2ac10baa015276a2ec31","last_reissued_at":"2026-07-05T08:44:01.070204Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:44:01.070204Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.10554","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":"2026-07-05T08:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IMDoNeI7ev4preyPHtfG6uvCY/6aYFFfyOH8ELaENyo8UQoUfH+ISSlkvMGi0pTxoDIN6ysDpjZPWJYR/8xUBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T10:30:16.549517Z"},"content_sha256":"e19c3195cd0654309e8acf7629c8fe587d1a84bbfed45aeeaead2982e8e72e31","schema_version":"1.0","event_id":"sha256:e19c3195cd0654309e8acf7629c8fe587d1a84bbfed45aeeaead2982e8e72e31"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:Q43CFHQKFKDZPHI2SAXBVAAHR2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Generative Artificial Intelligence: Roadmap for Natural Language Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Antonio Ferr\\'andez, Armando Su\\'arez Cueto, Borja Navarro-Colorado, Elena Lloret, Iv\\'an Mart\\'inez-Murillo, Mar\\'ia Mir\\'o Maestre, Tania J. Martin","submitted_at":"2024-07-15T09:07:07Z","abstract_excerpt":"Generative Artificial Intelligence has grown exponentially as a result of Large Language Models (LLMs). This has been possible because of the impressive performance of deep learning methods created within the field of Natural Language Processing (NLP) and its subfield Natural Language Generation (NLG), which is the focus of this paper. Within the growing LLM family are the popular GPT-4, Bard and more specifically, tools such as ChatGPT have become a benchmark for other LLMs when solving most of the tasks involved in NLG research. This scenario poses new questions about the next steps for NLG "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.10554","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/2407.10554/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":"2026-07-05T08:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0iX8pqcnRhJAjNGBT0L9Am9TozonsKd7wLXowHYDU+Zgl0wylXTS7NrkrQItbsJ2i+hiQtZhqf0IzcqsPQ1hCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T10:30:16.551596Z"},"content_sha256":"6d525475edcea946f2d633cd8bafbc2ef275e68b2fc572c9fa524419f3a5afa0","schema_version":"1.0","event_id":"sha256:6d525475edcea946f2d633cd8bafbc2ef275e68b2fc572c9fa524419f3a5afa0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Q43CFHQKFKDZPHI2SAXBVAAHR2/bundle.json","state_url":"https://pith.science/pith/Q43CFHQKFKDZPHI2SAXBVAAHR2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Q43CFHQKFKDZPHI2SAXBVAAHR2/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":"2026-08-03T10:30:16Z","links":{"resolver":"https://pith.science/pith/Q43CFHQKFKDZPHI2SAXBVAAHR2","bundle":"https://pith.science/pith/Q43CFHQKFKDZPHI2SAXBVAAHR2/bundle.json","state":"https://pith.science/pith/Q43CFHQKFKDZPHI2SAXBVAAHR2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Q43CFHQKFKDZPHI2SAXBVAAHR2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Q43CFHQKFKDZPHI2SAXBVAAHR2","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":"31bac1f7aff5a820b7d4999e424be5974e782e11e7118937b3304ea3a6bce121","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T09:07:07Z","title_canon_sha256":"f05806cf66c6800806d0d51319c6d0070a89a63697de6cf884910e32d4bf2ae7"},"schema_version":"1.0","source":{"id":"2407.10554","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.10554","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"2407.10554v1","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.10554","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"Q43CFHQKFKDZ","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"pith_short_16","alias_value":"Q43CFHQKFKDZPHI2","created_at":"2026-07-05T08:44:01Z"},{"alias_kind":"pith_short_8","alias_value":"Q43CFHQK","created_at":"2026-07-05T08:44:01Z"}],"graph_snapshots":[{"event_id":"sha256:6d525475edcea946f2d633cd8bafbc2ef275e68b2fc572c9fa524419f3a5afa0","target":"graph","created_at":"2026-07-05T08:44:01Z","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/2407.10554/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative Artificial Intelligence has grown exponentially as a result of Large Language Models (LLMs). This has been possible because of the impressive performance of deep learning methods created within the field of Natural Language Processing (NLP) and its subfield Natural Language Generation (NLG), which is the focus of this paper. Within the growing LLM family are the popular GPT-4, Bard and more specifically, tools such as ChatGPT have become a benchmark for other LLMs when solving most of the tasks involved in NLG research. This scenario poses new questions about the next steps for NLG ","authors_text":"Antonio Ferr\\'andez, Armando Su\\'arez Cueto, Borja Navarro-Colorado, Elena Lloret, Iv\\'an Mart\\'inez-Murillo, Mar\\'ia Mir\\'o Maestre, Tania J. Martin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T09:07:07Z","title":"Beyond Generative Artificial Intelligence: Roadmap for Natural Language Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.10554","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:e19c3195cd0654309e8acf7629c8fe587d1a84bbfed45aeeaead2982e8e72e31","target":"record","created_at":"2026-07-05T08:44:01Z","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":"31bac1f7aff5a820b7d4999e424be5974e782e11e7118937b3304ea3a6bce121","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-15T09:07:07Z","title_canon_sha256":"f05806cf66c6800806d0d51319c6d0070a89a63697de6cf884910e32d4bf2ae7"},"schema_version":"1.0","source":{"id":"2407.10554","kind":"arxiv","version":1}},"canonical_sha256":"8736229e0a2a87979d1a902e1a80078ebee57a7a8cda2ac10baa015276a2ec31","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8736229e0a2a87979d1a902e1a80078ebee57a7a8cda2ac10baa015276a2ec31","first_computed_at":"2026-07-05T08:44:01.070204Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:44:01.070204Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aG0vIpewazspzaMOzJwDShyB1UnktM4xjP7+FczDQ+VGGRPGQsCFFoDPYqHOtjpYD7eBWBLP1aGCywosn+vxAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:44:01.070654Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.10554","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e19c3195cd0654309e8acf7629c8fe587d1a84bbfed45aeeaead2982e8e72e31","sha256:6d525475edcea946f2d633cd8bafbc2ef275e68b2fc572c9fa524419f3a5afa0"],"state_sha256":"374460e55691151b6de31efd0358a4ffcdfc72978bc76df25205053c8baa8991"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+uuQQ+P6vDECl0BHr4ZvA2TuuPCjp6i4Lada8f4+yvvs6UG9AVQy+gcpwmmJSPl5F3peBYv0r/jPaCykWk2jAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T10:30:16.558078Z","bundle_sha256":"64d4433984a7372cf66599a7bc8e10261cd4b62829080eb5af0f22e4f98f6d06"}}