{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SH3FWCNMDC7CPJ6ZBJXBBCVJND","short_pith_number":"pith:SH3FWCNM","canonical_record":{"source":{"id":"2407.04046","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-04T16:41:08Z","cross_cats_sorted":[],"title_canon_sha256":"2232e35f255b997345e79166a08200d9b3d7e83805842e660082726407e56717","abstract_canon_sha256":"ffce47d7c9dc210a6168f41bd214c59a734ff411a46d67d77e9f6d7a3ed064eb"},"schema_version":"1.0"},"canonical_sha256":"91f65b09ac18be27a7d90a6e108aa968e3d8ef41a2ea60579f9916e0d2574993","source":{"kind":"arxiv","id":"2407.04046","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.04046","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"arxiv_version","alias_value":"2407.04046v1","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.04046","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"pith_short_12","alias_value":"SH3FWCNMDC7C","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"pith_short_16","alias_value":"SH3FWCNMDC7CPJ6Z","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"pith_short_8","alias_value":"SH3FWCNM","created_at":"2026-07-05T08:40:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SH3FWCNMDC7CPJ6ZBJXBBCVJND","target":"record","payload":{"canonical_record":{"source":{"id":"2407.04046","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-04T16:41:08Z","cross_cats_sorted":[],"title_canon_sha256":"2232e35f255b997345e79166a08200d9b3d7e83805842e660082726407e56717","abstract_canon_sha256":"ffce47d7c9dc210a6168f41bd214c59a734ff411a46d67d77e9f6d7a3ed064eb"},"schema_version":"1.0"},"canonical_sha256":"91f65b09ac18be27a7d90a6e108aa968e3d8ef41a2ea60579f9916e0d2574993","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:40:27.891547Z","signature_b64":"pkd7RZAtO/XWO7O1DRTtcIqEq4f9uYHr1WX2659cgYO3s8UvQ6CbXnzqvmnMy2vdoYcW2hqiBTFMelwV7B8hDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91f65b09ac18be27a7d90a6e108aa968e3d8ef41a2ea60579f9916e0d2574993","last_reissued_at":"2026-07-05T08:40:27.891057Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:40:27.891057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.04046","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":"2026-07-05T08:40:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5u8rkORb8Kj2Hloo96xDknnVsLJjTqbNP8LwrGmqWXGif8zkL+or/frCovlnFZQmKmS4GxKgwOPQHrRYRKd/Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:22:31.161030Z"},"content_sha256":"0ec9b81d8037d1950aa8687a7bb2b8af9294233ef2945ed8aaee62cadfd56dbb","schema_version":"1.0","event_id":"sha256:0ec9b81d8037d1950aa8687a7bb2b8af9294233ef2945ed8aaee62cadfd56dbb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SH3FWCNMDC7CPJ6ZBJXBBCVJND","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Systematic Task Exploration with LLMs: A Study in Citation Text Generation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Furkan \\c{S}ahinu\\c{c}, Ilia Kuznetsov, Iryna Gurevych, Yufang Hou","submitted_at":"2024-07-04T16:41:08Z","abstract_excerpt":"Large language models (LLMs) bring unprecedented flexibility in defining and executing complex, creative natural language generation (NLG) tasks. Yet, this flexibility brings new challenges, as it introduces new degrees of freedom in formulating the task inputs and instructions and in evaluating model performance. To facilitate the exploration of creative NLG tasks, we propose a three-component research framework that consists of systematic input manipulation, reference data, and output measurement. We use this framework to explore citation text generation -- a popular scholarly NLP task that "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.04046","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/2407.04046/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":"2026-07-05T08:40:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/UoXnItWGZLkuQq1rL40He5qxIKNPuM5tIr7aMmK5Q0vXSbL3iMGOkvODeOkueeoVvFhvkQaIhOQxRpHrKTVBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:22:31.161546Z"},"content_sha256":"50c54c6cde798bf04340c126fcd7b5623d20ecfd44cd3e9bbcdccaa0542f00d3","schema_version":"1.0","event_id":"sha256:50c54c6cde798bf04340c126fcd7b5623d20ecfd44cd3e9bbcdccaa0542f00d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SH3FWCNMDC7CPJ6ZBJXBBCVJND/bundle.json","state_url":"https://pith.science/pith/SH3FWCNMDC7CPJ6ZBJXBBCVJND/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SH3FWCNMDC7CPJ6ZBJXBBCVJND/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":"2026-08-08T07:22:31Z","links":{"resolver":"https://pith.science/pith/SH3FWCNMDC7CPJ6ZBJXBBCVJND","bundle":"https://pith.science/pith/SH3FWCNMDC7CPJ6ZBJXBBCVJND/bundle.json","state":"https://pith.science/pith/SH3FWCNMDC7CPJ6ZBJXBBCVJND/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SH3FWCNMDC7CPJ6ZBJXBBCVJND/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SH3FWCNMDC7CPJ6ZBJXBBCVJND","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":"ffce47d7c9dc210a6168f41bd214c59a734ff411a46d67d77e9f6d7a3ed064eb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-04T16:41:08Z","title_canon_sha256":"2232e35f255b997345e79166a08200d9b3d7e83805842e660082726407e56717"},"schema_version":"1.0","source":{"id":"2407.04046","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.04046","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"arxiv_version","alias_value":"2407.04046v1","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.04046","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"pith_short_12","alias_value":"SH3FWCNMDC7C","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"pith_short_16","alias_value":"SH3FWCNMDC7CPJ6Z","created_at":"2026-07-05T08:40:27Z"},{"alias_kind":"pith_short_8","alias_value":"SH3FWCNM","created_at":"2026-07-05T08:40:27Z"}],"graph_snapshots":[{"event_id":"sha256:50c54c6cde798bf04340c126fcd7b5623d20ecfd44cd3e9bbcdccaa0542f00d3","target":"graph","created_at":"2026-07-05T08:40:27Z","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/2407.04046/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) bring unprecedented flexibility in defining and executing complex, creative natural language generation (NLG) tasks. Yet, this flexibility brings new challenges, as it introduces new degrees of freedom in formulating the task inputs and instructions and in evaluating model performance. To facilitate the exploration of creative NLG tasks, we propose a three-component research framework that consists of systematic input manipulation, reference data, and output measurement. We use this framework to explore citation text generation -- a popular scholarly NLP task that ","authors_text":"Furkan \\c{S}ahinu\\c{c}, Ilia Kuznetsov, Iryna Gurevych, Yufang Hou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-04T16:41:08Z","title":"Systematic Task Exploration with LLMs: A Study in Citation Text Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.04046","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":"sha256:0ec9b81d8037d1950aa8687a7bb2b8af9294233ef2945ed8aaee62cadfd56dbb","target":"record","created_at":"2026-07-05T08:40:27Z","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":"ffce47d7c9dc210a6168f41bd214c59a734ff411a46d67d77e9f6d7a3ed064eb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-04T16:41:08Z","title_canon_sha256":"2232e35f255b997345e79166a08200d9b3d7e83805842e660082726407e56717"},"schema_version":"1.0","source":{"id":"2407.04046","kind":"arxiv","version":1}},"canonical_sha256":"91f65b09ac18be27a7d90a6e108aa968e3d8ef41a2ea60579f9916e0d2574993","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91f65b09ac18be27a7d90a6e108aa968e3d8ef41a2ea60579f9916e0d2574993","first_computed_at":"2026-07-05T08:40:27.891057Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:40:27.891057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pkd7RZAtO/XWO7O1DRTtcIqEq4f9uYHr1WX2659cgYO3s8UvQ6CbXnzqvmnMy2vdoYcW2hqiBTFMelwV7B8hDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:40:27.891547Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.04046","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ec9b81d8037d1950aa8687a7bb2b8af9294233ef2945ed8aaee62cadfd56dbb","sha256:50c54c6cde798bf04340c126fcd7b5623d20ecfd44cd3e9bbcdccaa0542f00d3"],"state_sha256":"98be2a3b5afa00b78a04afd4cadee771cc000bf6c95fd1e48a6f6d91ff91a579"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Pvi7pM9UdQCGH3afCftPJdhhgpRQ2mkvmYcnYah7ifwabKatw6OmISC2YWVa7CjW7voxkwzL1V8EjMnk42QDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:22:31.166178Z","bundle_sha256":"271512ba15f04419fd1c3b7c8947376c17b32d7754bfd5e19b72d3de767f5ee0"}}