{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HORC3SHC3BZHTEUKXD7B4X7IWX","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":"68f1f5d66c70f659bd4bd23273f24776e5ae455bfbc52c8e53b1a1df9b01cf69","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-30T02:56:35Z","title_canon_sha256":"7c55695fad70b033da05f35647a17fb05cdbcfb717e85debd9391259ce3e125c"},"schema_version":"1.0","source":{"id":"2409.19898","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.19898","created_at":"2026-07-05T09:13:57Z"},{"alias_kind":"arxiv_version","alias_value":"2409.19898v2","created_at":"2026-07-05T09:13:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.19898","created_at":"2026-07-05T09:13:57Z"},{"alias_kind":"pith_short_12","alias_value":"HORC3SHC3BZH","created_at":"2026-07-05T09:13:57Z"},{"alias_kind":"pith_short_16","alias_value":"HORC3SHC3BZHTEUK","created_at":"2026-07-05T09:13:57Z"},{"alias_kind":"pith_short_8","alias_value":"HORC3SHC","created_at":"2026-07-05T09:13:57Z"}],"graph_snapshots":[{"event_id":"sha256:ad52af014343bc0f33ad19b8b75b053a6c1ad8bc68e63bcb54643d757bb7d85c","target":"graph","created_at":"2026-07-05T09:13:57Z","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/2409.19898/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing benchmarks for summarization quality evaluation often lack diverse input scenarios, focus on narrowly defined dimensions (e.g., faithfulness), and struggle with subjective and coarse-grained annotation schemes. To address these shortcomings, we create UniSumEval benchmark, which extends the range of input context (e.g., domain, length) and provides fine-grained, multi-dimensional annotations. We use AI assistance in data creation, identifying potentially hallucinogenic input texts, and also helping human annotators reduce the difficulty of fine-grained annotation tasks. With UniSumEva","authors_text":"Hang Su, Hwanjun Song, Jason Cai, Taewon Yun, Yuho Lee","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-30T02:56:35Z","title":"UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.19898","kind":"arxiv","version":2},"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:d31ba3aba775173475b599c5b5f8940e88579e8ef521ab06d48bc867663895db","target":"record","created_at":"2026-07-05T09:13:57Z","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":"68f1f5d66c70f659bd4bd23273f24776e5ae455bfbc52c8e53b1a1df9b01cf69","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-30T02:56:35Z","title_canon_sha256":"7c55695fad70b033da05f35647a17fb05cdbcfb717e85debd9391259ce3e125c"},"schema_version":"1.0","source":{"id":"2409.19898","kind":"arxiv","version":2}},"canonical_sha256":"3ba22dc8e2d87279928ab8fe1e5fe8b5cb1f710ad8c36b25560eb9e6d3543580","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ba22dc8e2d87279928ab8fe1e5fe8b5cb1f710ad8c36b25560eb9e6d3543580","first_computed_at":"2026-07-05T09:13:57.862105Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:13:57.862105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9ZOHBvKC1usC5MNLX+HNDHsrKsH9gh7/uVKazR0sE/mpXt5Gcd5t+WfLN1IOYUC8IooeyVyz5BN4g6OzNWGHDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:13:57.864663Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.19898","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d31ba3aba775173475b599c5b5f8940e88579e8ef521ab06d48bc867663895db","sha256:ad52af014343bc0f33ad19b8b75b053a6c1ad8bc68e63bcb54643d757bb7d85c"],"state_sha256":"86b54edaaa42af9c7fa087d6561e9383b1eca390808448898621c945bf0bb9a2"}