{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SW4UW57NAM7IL6WG32LOEIJM25","short_pith_number":"pith:SW4UW57N","canonical_record":{"source":{"id":"2410.18697","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-24T12:48:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"92ca75dcc2a3c12fb528e233b249b07970eb14edf01fd36affc1ee907e17d56b","abstract_canon_sha256":"a6fbe0352c454a261e03b7c9f8d18e4c995bb5952e6f89d9682a6a58f04797b8"},"schema_version":"1.0"},"canonical_sha256":"95b94b77ed033e85fac6de96e2212cd754c19912d951ece814c785b3f4825071","source":{"kind":"arxiv","id":"2410.18697","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.18697","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"arxiv_version","alias_value":"2410.18697v2","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.18697","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"pith_short_12","alias_value":"SW4UW57NAM7I","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"pith_short_16","alias_value":"SW4UW57NAM7IL6WG","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"pith_short_8","alias_value":"SW4UW57N","created_at":"2026-07-05T10:19:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SW4UW57NAM7IL6WG32LOEIJM25","target":"record","payload":{"canonical_record":{"source":{"id":"2410.18697","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-24T12:48:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"92ca75dcc2a3c12fb528e233b249b07970eb14edf01fd36affc1ee907e17d56b","abstract_canon_sha256":"a6fbe0352c454a261e03b7c9f8d18e4c995bb5952e6f89d9682a6a58f04797b8"},"schema_version":"1.0"},"canonical_sha256":"95b94b77ed033e85fac6de96e2212cd754c19912d951ece814c785b3f4825071","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:19:30.164202Z","signature_b64":"SsREPUVKv21ertpzFlmHh1z4jY+LZ5799Nv0bSNhRn6TxeXfw5PMzN4Wr0WPE4W1SIDnYMvJmYyRxd7IlWvmCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95b94b77ed033e85fac6de96e2212cd754c19912d951ece814c785b3f4825071","last_reissued_at":"2026-07-05T10:19:30.163668Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:19:30.163668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.18697","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ITQyrYPwiY0hrLL8m1/gKveKLDJPDA8CD3mMcHEhiC/WK7K5D7ZJEPWsDyitvX6+lP0/121VnRgzLjpjByjCDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:24:35.896406Z"},"content_sha256":"53fe10c3329e66abad8d726efc68be70200d803b77a7cf089eac9bbdc98358cd","schema_version":"1.0","event_id":"sha256:53fe10c3329e66abad8d726efc68be70200d803b77a7cf089eac9bbdc98358cd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SW4UW57NAM7IL6WG32LOEIJM25","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ran Zhang, Steffen Eger, Wei Zhao","submitted_at":"2024-10-24T12:48:03Z","abstract_excerpt":"Recent research has focused on literary machine translation (MT) as a new challenge in MT. However, the evaluation of literary MT remains an open problem. We contribute to this ongoing discussion by introducing LITEVAL-CORPUS, a paragraph-level parallel corpus containing verified human translations and outputs from 9 MT systems, which totals over 2k translations and 13k evaluated sentences across four language pairs, costing 4.5k C. This corpus enables us to (i) examine the consistency and adequacy of human evaluation schemes with various degrees of complexity, (ii) compare evaluations by stud"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.18697","kind":"arxiv","version":2},"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/2410.18697/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":"2026-07-05T10:19:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dR5lrfljzuz/06enfhKMsvQ4kaA1QT3pUurNZs1sQcbhDQV7OM6tyry7YKN6WQ+6vBbjwxP8Au/WKevlZrj+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:24:35.896969Z"},"content_sha256":"6c32abdcc7886b81b2fa1085fac110c03d9cc6e52f95692421376be03b4d4e89","schema_version":"1.0","event_id":"sha256:6c32abdcc7886b81b2fa1085fac110c03d9cc6e52f95692421376be03b4d4e89"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SW4UW57NAM7IL6WG32LOEIJM25/bundle.json","state_url":"https://pith.science/pith/SW4UW57NAM7IL6WG32LOEIJM25/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SW4UW57NAM7IL6WG32LOEIJM25/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":"2026-08-12T13:24:35Z","links":{"resolver":"https://pith.science/pith/SW4UW57NAM7IL6WG32LOEIJM25","bundle":"https://pith.science/pith/SW4UW57NAM7IL6WG32LOEIJM25/bundle.json","state":"https://pith.science/pith/SW4UW57NAM7IL6WG32LOEIJM25/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SW4UW57NAM7IL6WG32LOEIJM25/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SW4UW57NAM7IL6WG32LOEIJM25","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":"a6fbe0352c454a261e03b7c9f8d18e4c995bb5952e6f89d9682a6a58f04797b8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-24T12:48:03Z","title_canon_sha256":"92ca75dcc2a3c12fb528e233b249b07970eb14edf01fd36affc1ee907e17d56b"},"schema_version":"1.0","source":{"id":"2410.18697","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.18697","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"arxiv_version","alias_value":"2410.18697v2","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.18697","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"pith_short_12","alias_value":"SW4UW57NAM7I","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"pith_short_16","alias_value":"SW4UW57NAM7IL6WG","created_at":"2026-07-05T10:19:30Z"},{"alias_kind":"pith_short_8","alias_value":"SW4UW57N","created_at":"2026-07-05T10:19:30Z"}],"graph_snapshots":[{"event_id":"sha256:6c32abdcc7886b81b2fa1085fac110c03d9cc6e52f95692421376be03b4d4e89","target":"graph","created_at":"2026-07-05T10:19:30Z","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/2410.18697/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent research has focused on literary machine translation (MT) as a new challenge in MT. However, the evaluation of literary MT remains an open problem. We contribute to this ongoing discussion by introducing LITEVAL-CORPUS, a paragraph-level parallel corpus containing verified human translations and outputs from 9 MT systems, which totals over 2k translations and 13k evaluated sentences across four language pairs, costing 4.5k C. This corpus enables us to (i) examine the consistency and adequacy of human evaluation schemes with various degrees of complexity, (ii) compare evaluations by stud","authors_text":"Ran Zhang, Steffen Eger, Wei Zhao","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-24T12:48:03Z","title":"How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.18697","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":"sha256:53fe10c3329e66abad8d726efc68be70200d803b77a7cf089eac9bbdc98358cd","target":"record","created_at":"2026-07-05T10:19:30Z","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":"a6fbe0352c454a261e03b7c9f8d18e4c995bb5952e6f89d9682a6a58f04797b8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-24T12:48:03Z","title_canon_sha256":"92ca75dcc2a3c12fb528e233b249b07970eb14edf01fd36affc1ee907e17d56b"},"schema_version":"1.0","source":{"id":"2410.18697","kind":"arxiv","version":2}},"canonical_sha256":"95b94b77ed033e85fac6de96e2212cd754c19912d951ece814c785b3f4825071","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95b94b77ed033e85fac6de96e2212cd754c19912d951ece814c785b3f4825071","first_computed_at":"2026-07-05T10:19:30.163668Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:30.163668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SsREPUVKv21ertpzFlmHh1z4jY+LZ5799Nv0bSNhRn6TxeXfw5PMzN4Wr0WPE4W1SIDnYMvJmYyRxd7IlWvmCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:30.164202Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.18697","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53fe10c3329e66abad8d726efc68be70200d803b77a7cf089eac9bbdc98358cd","sha256:6c32abdcc7886b81b2fa1085fac110c03d9cc6e52f95692421376be03b4d4e89"],"state_sha256":"a2888eec02eb49bcb334b7384daa31dd055fae713a6dd974cdb632ac5a78ee9f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uzH5RaPn1iFWfmXE0WIDmn7AWIotgNBPFF1IhmEHDMGphghOpPDj+e7FKt82s9Vz2lDql3Ykdh3FCTtEB7rlBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T13:24:35.901911Z","bundle_sha256":"8bb8aaf1e68dbbe28bc00a2531044d3c1be891370b4ab5149847e4c47a502366"}}