{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:XJDZW4CDWPTFDGV53GZJTI2BH3","short_pith_number":"pith:XJDZW4CD","canonical_record":{"source":{"id":"2305.08391","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-15T07:14:41Z","cross_cats_sorted":[],"title_canon_sha256":"ff2d8b5cf47e7ac0b897649e10fb79c8682a1e571be460d6f2a39fa96f78817a","abstract_canon_sha256":"9346a0fe54f1d6cd4ef17fd2bc75ff5a78ec52a09557fcbdcdfcfbc4ebe0e567"},"schema_version":"1.0"},"canonical_sha256":"ba479b7043b3e6519abdd9b299a3413ef14d8a0788666c93b32858504e864cf6","source":{"kind":"arxiv","id":"2305.08391","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.08391","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"arxiv_version","alias_value":"2305.08391v2","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.08391","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"pith_short_12","alias_value":"XJDZW4CDWPTF","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"pith_short_16","alias_value":"XJDZW4CDWPTFDGV5","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"pith_short_8","alias_value":"XJDZW4CD","created_at":"2026-07-05T07:52:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:XJDZW4CDWPTFDGV53GZJTI2BH3","target":"record","payload":{"canonical_record":{"source":{"id":"2305.08391","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-15T07:14:41Z","cross_cats_sorted":[],"title_canon_sha256":"ff2d8b5cf47e7ac0b897649e10fb79c8682a1e571be460d6f2a39fa96f78817a","abstract_canon_sha256":"9346a0fe54f1d6cd4ef17fd2bc75ff5a78ec52a09557fcbdcdfcfbc4ebe0e567"},"schema_version":"1.0"},"canonical_sha256":"ba479b7043b3e6519abdd9b299a3413ef14d8a0788666c93b32858504e864cf6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:52:09.760755Z","signature_b64":"kCEqpAXmOdSCVcszptuBKNV48khuI3gIwS+0rrHNvMhPMObhYJ32JtgI2bW9B44m6cGWHuzAcTcZXDcCiQU0BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba479b7043b3e6519abdd9b299a3413ef14d8a0788666c93b32858504e864cf6","last_reissued_at":"2026-07-05T07:52:09.760237Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:52:09.760237Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.08391","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":"2026-07-05T07:52:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q2zWaVZCupP85Vvldowh1J96nXefoSQs5XwaH6rjXEGdpKO8qdKc312GjoFlKfEEWQIxEIOfyL59r/sMdGTEAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:57:56.171549Z"},"content_sha256":"6d92efd1dda0ddf1b7b1b43c091d64636d83a30407a75d18d76069133bae0ab5","schema_version":"1.0","event_id":"sha256:6d92efd1dda0ddf1b7b1b43c091d64636d83a30407a75d18d76069133bae0ab5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:XJDZW4CDWPTFDGV53GZJTI2BH3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Feng Jiang, Haizhou Li, Peifeng Li, Yaxin Fan","submitted_at":"2023-05-15T07:14:41Z","abstract_excerpt":"Large language models, like ChatGPT, have shown remarkable capability in many downstream tasks, yet their ability to understand discourse structures of dialogues remains less explored, where it requires higher level capabilities of understanding and reasoning. In this paper, we aim to systematically inspect ChatGPT's performance in two discourse analysis tasks: topic segmentation and discourse parsing, focusing on its deep semantic understanding of linear and hierarchical discourse structures underlying dialogue. To instruct ChatGPT to complete these tasks, we initially craft a prompt template"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.08391","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/2305.08391/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":"2026-07-05T07:52:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cj1NXBMi8wwB979WiHOMJQKPA5WS7Kk3ooGzSTD4eRAe74xxVP4quMFlfa9ybNJpmHknDCNVcQ9m7k6VedqhBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:57:56.171917Z"},"content_sha256":"d1765a2349cc467cbd2cad8799a883ce8868d2f5a1e87948cf8f735fbe225b80","schema_version":"1.0","event_id":"sha256:d1765a2349cc467cbd2cad8799a883ce8868d2f5a1e87948cf8f735fbe225b80"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XJDZW4CDWPTFDGV53GZJTI2BH3/bundle.json","state_url":"https://pith.science/pith/XJDZW4CDWPTFDGV53GZJTI2BH3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XJDZW4CDWPTFDGV53GZJTI2BH3/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":"2026-07-07T11:57:56Z","links":{"resolver":"https://pith.science/pith/XJDZW4CDWPTFDGV53GZJTI2BH3","bundle":"https://pith.science/pith/XJDZW4CDWPTFDGV53GZJTI2BH3/bundle.json","state":"https://pith.science/pith/XJDZW4CDWPTFDGV53GZJTI2BH3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XJDZW4CDWPTFDGV53GZJTI2BH3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XJDZW4CDWPTFDGV53GZJTI2BH3","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":"9346a0fe54f1d6cd4ef17fd2bc75ff5a78ec52a09557fcbdcdfcfbc4ebe0e567","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-15T07:14:41Z","title_canon_sha256":"ff2d8b5cf47e7ac0b897649e10fb79c8682a1e571be460d6f2a39fa96f78817a"},"schema_version":"1.0","source":{"id":"2305.08391","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.08391","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"arxiv_version","alias_value":"2305.08391v2","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.08391","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"pith_short_12","alias_value":"XJDZW4CDWPTF","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"pith_short_16","alias_value":"XJDZW4CDWPTFDGV5","created_at":"2026-07-05T07:52:09Z"},{"alias_kind":"pith_short_8","alias_value":"XJDZW4CD","created_at":"2026-07-05T07:52:09Z"}],"graph_snapshots":[{"event_id":"sha256:d1765a2349cc467cbd2cad8799a883ce8868d2f5a1e87948cf8f735fbe225b80","target":"graph","created_at":"2026-07-05T07:52:09Z","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/2305.08391/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models, like ChatGPT, have shown remarkable capability in many downstream tasks, yet their ability to understand discourse structures of dialogues remains less explored, where it requires higher level capabilities of understanding and reasoning. In this paper, we aim to systematically inspect ChatGPT's performance in two discourse analysis tasks: topic segmentation and discourse parsing, focusing on its deep semantic understanding of linear and hierarchical discourse structures underlying dialogue. To instruct ChatGPT to complete these tasks, we initially craft a prompt template","authors_text":"Feng Jiang, Haizhou Li, Peifeng Li, Yaxin Fan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-15T07:14:41Z","title":"Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.08391","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":"sha256:6d92efd1dda0ddf1b7b1b43c091d64636d83a30407a75d18d76069133bae0ab5","target":"record","created_at":"2026-07-05T07:52:09Z","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":"9346a0fe54f1d6cd4ef17fd2bc75ff5a78ec52a09557fcbdcdfcfbc4ebe0e567","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-15T07:14:41Z","title_canon_sha256":"ff2d8b5cf47e7ac0b897649e10fb79c8682a1e571be460d6f2a39fa96f78817a"},"schema_version":"1.0","source":{"id":"2305.08391","kind":"arxiv","version":2}},"canonical_sha256":"ba479b7043b3e6519abdd9b299a3413ef14d8a0788666c93b32858504e864cf6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba479b7043b3e6519abdd9b299a3413ef14d8a0788666c93b32858504e864cf6","first_computed_at":"2026-07-05T07:52:09.760237Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:52:09.760237Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kCEqpAXmOdSCVcszptuBKNV48khuI3gIwS+0rrHNvMhPMObhYJ32JtgI2bW9B44m6cGWHuzAcTcZXDcCiQU0BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:52:09.760755Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.08391","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d92efd1dda0ddf1b7b1b43c091d64636d83a30407a75d18d76069133bae0ab5","sha256:d1765a2349cc467cbd2cad8799a883ce8868d2f5a1e87948cf8f735fbe225b80"],"state_sha256":"0815555e29bd39bfa676cfb77950c4d5ebbc75aa0b527fd7e489521116fc6f1a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S5FFS41KvrWcBaYPlVLHmKo9kv5WVHlYIrzHL+Wn/YG8gHHAUE3kwifB3owEbdJ+1j/diy9rKw5ebQwJjAB/AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:57:56.173823Z","bundle_sha256":"3db317443f6b419e2c1ebb345c3e3877a09c3931b0009e71f72e48ed7675a0f6"}}