{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:R3AHRTY4AFBIKL3BWTIBNYCDJD","short_pith_number":"pith:R3AHRTY4","canonical_record":{"source":{"id":"2406.12754","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T16:22:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9eb36170a25d38addd2b16e653673cbbb1eab87545ad55af7978c6358e2cf9cd","abstract_canon_sha256":"ac123c633efceb91ba1f2dc1f51a7ff876d605f4049fd0224b7861373cbff520"},"schema_version":"1.0"},"canonical_sha256":"8ec078cf1c0142852f61b4d016e04348c344d48cba6d6b83f842694245e6ede6","source":{"kind":"arxiv","id":"2406.12754","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12754","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12754v1","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12754","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"pith_short_12","alias_value":"R3AHRTY4AFBI","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"pith_short_16","alias_value":"R3AHRTY4AFBIKL3B","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"pith_short_8","alias_value":"R3AHRTY4","created_at":"2026-07-05T08:33:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:R3AHRTY4AFBIKL3BWTIBNYCDJD","target":"record","payload":{"canonical_record":{"source":{"id":"2406.12754","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T16:22:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9eb36170a25d38addd2b16e653673cbbb1eab87545ad55af7978c6358e2cf9cd","abstract_canon_sha256":"ac123c633efceb91ba1f2dc1f51a7ff876d605f4049fd0224b7861373cbff520"},"schema_version":"1.0"},"canonical_sha256":"8ec078cf1c0142852f61b4d016e04348c344d48cba6d6b83f842694245e6ede6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:33:50.942636Z","signature_b64":"noa7EMT3BJHPTMbTdOn+pI23m08zxuQffS5KKfYkMjgd44n7CgfHF2i7pkAJ/dz4O3KEGroAovaDwRJr+CtYAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ec078cf1c0142852f61b4d016e04348c344d48cba6d6b83f842694245e6ede6","last_reissued_at":"2026-07-05T08:33:50.942256Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:33:50.942256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.12754","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":"2026-07-05T08:33:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6v9/PkKKwnDMWdsYiJEMKHQYEFWc/JorBWHSidn8j0jDc1UK0xyNrTUQ06lXSW0d9e3/XokbsjZUlP9M7EzECw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T14:03:05.317637Z"},"content_sha256":"bc1fcd95b61e5f45b0f4678741a668edbb9dc6943f765ec9116276db6c2612ad","schema_version":"1.0","event_id":"sha256:bc1fcd95b61e5f45b0f4678741a668edbb9dc6943f765ec9116276db6c2612ad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:R3AHRTY4AFBIKL3BWTIBNYCDJD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Chumor 1.0: A Truly Funny and Challenging Chinese Humor Understanding Dataset from Ruo Zhi Ba","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Hanchen Xia, He Wang, Jiarui Liu, Longju Bai, Naihao Deng, Ruiqi He, Yushu He, Zenghao Tang, Zhenjie Sun","submitted_at":"2024-06-18T16:22:05Z","abstract_excerpt":"Existing humor datasets and evaluations predominantly focus on English, lacking resources for culturally nuanced humor in non-English languages like Chinese. To address this gap, we construct Chumor, a dataset sourced from Ruo Zhi Ba (RZB), a Chinese Reddit-like platform dedicated to sharing intellectually challenging and culturally specific jokes. We annotate explanations for each joke and evaluate human explanations against two state-of-the-art LLMs, GPT-4o and ERNIE Bot, through A/B testing by native Chinese speakers. Our evaluation shows that Chumor is challenging even for SOTA LLMs, and t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12754","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/2406.12754/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":"2026-07-05T08:33:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BmnHcs5xFE/Z45rJ2kr6+rvHQ8+0xIy1UNkpkWaIr26HjlHckIouzHBscDlf5ONbnU6BRz0hn6zRlLA79UMkDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T14:03:05.317984Z"},"content_sha256":"6b704687bd1380b0523d3c020d57969d548fd015643effb22139acc054fae4a9","schema_version":"1.0","event_id":"sha256:6b704687bd1380b0523d3c020d57969d548fd015643effb22139acc054fae4a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R3AHRTY4AFBIKL3BWTIBNYCDJD/bundle.json","state_url":"https://pith.science/pith/R3AHRTY4AFBIKL3BWTIBNYCDJD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R3AHRTY4AFBIKL3BWTIBNYCDJD/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":"2026-08-02T14:03:05Z","links":{"resolver":"https://pith.science/pith/R3AHRTY4AFBIKL3BWTIBNYCDJD","bundle":"https://pith.science/pith/R3AHRTY4AFBIKL3BWTIBNYCDJD/bundle.json","state":"https://pith.science/pith/R3AHRTY4AFBIKL3BWTIBNYCDJD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R3AHRTY4AFBIKL3BWTIBNYCDJD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:R3AHRTY4AFBIKL3BWTIBNYCDJD","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":"ac123c633efceb91ba1f2dc1f51a7ff876d605f4049fd0224b7861373cbff520","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T16:22:05Z","title_canon_sha256":"9eb36170a25d38addd2b16e653673cbbb1eab87545ad55af7978c6358e2cf9cd"},"schema_version":"1.0","source":{"id":"2406.12754","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12754","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12754v1","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12754","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"pith_short_12","alias_value":"R3AHRTY4AFBI","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"pith_short_16","alias_value":"R3AHRTY4AFBIKL3B","created_at":"2026-07-05T08:33:50Z"},{"alias_kind":"pith_short_8","alias_value":"R3AHRTY4","created_at":"2026-07-05T08:33:50Z"}],"graph_snapshots":[{"event_id":"sha256:6b704687bd1380b0523d3c020d57969d548fd015643effb22139acc054fae4a9","target":"graph","created_at":"2026-07-05T08:33:50Z","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/2406.12754/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing humor datasets and evaluations predominantly focus on English, lacking resources for culturally nuanced humor in non-English languages like Chinese. To address this gap, we construct Chumor, a dataset sourced from Ruo Zhi Ba (RZB), a Chinese Reddit-like platform dedicated to sharing intellectually challenging and culturally specific jokes. We annotate explanations for each joke and evaluate human explanations against two state-of-the-art LLMs, GPT-4o and ERNIE Bot, through A/B testing by native Chinese speakers. Our evaluation shows that Chumor is challenging even for SOTA LLMs, and t","authors_text":"Hanchen Xia, He Wang, Jiarui Liu, Longju Bai, Naihao Deng, Ruiqi He, Yushu He, Zenghao Tang, Zhenjie Sun","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T16:22:05Z","title":"Chumor 1.0: A Truly Funny and Challenging Chinese Humor Understanding Dataset from Ruo Zhi Ba"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12754","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:bc1fcd95b61e5f45b0f4678741a668edbb9dc6943f765ec9116276db6c2612ad","target":"record","created_at":"2026-07-05T08:33:50Z","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":"ac123c633efceb91ba1f2dc1f51a7ff876d605f4049fd0224b7861373cbff520","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-18T16:22:05Z","title_canon_sha256":"9eb36170a25d38addd2b16e653673cbbb1eab87545ad55af7978c6358e2cf9cd"},"schema_version":"1.0","source":{"id":"2406.12754","kind":"arxiv","version":1}},"canonical_sha256":"8ec078cf1c0142852f61b4d016e04348c344d48cba6d6b83f842694245e6ede6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ec078cf1c0142852f61b4d016e04348c344d48cba6d6b83f842694245e6ede6","first_computed_at":"2026-07-05T08:33:50.942256Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:33:50.942256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"noa7EMT3BJHPTMbTdOn+pI23m08zxuQffS5KKfYkMjgd44n7CgfHF2i7pkAJ/dz4O3KEGroAovaDwRJr+CtYAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:33:50.942636Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.12754","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc1fcd95b61e5f45b0f4678741a668edbb9dc6943f765ec9116276db6c2612ad","sha256:6b704687bd1380b0523d3c020d57969d548fd015643effb22139acc054fae4a9"],"state_sha256":"22573dbf038c042ec694f62775da483601eb52468caab817eb6b8afcf2854daf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dlGqMr0jXlC8jG6aoUMIt3QbTRtBL8H7CHvQD/wdB1KPMXNrmkQ0udEh0zPapHPsNdyVGLxqplb17tbK2iqEBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T14:03:05.320445Z","bundle_sha256":"386ea0ba1ba39c16d53f359083b460b5cbd23aeb7bb409368c50ea9a4d8a2f2e"}}