{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RXJJIFHNJHIE4CKH3HGEJNP2VJ","short_pith_number":"pith:RXJJIFHN","canonical_record":{"source":{"id":"2404.17802","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T06:55:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"23e368d8173e9e19071c22331f4f4c5e991d2dba9f0b52b436fd27b7518742d5","abstract_canon_sha256":"846da9894af00626f1695b77f589d26a25f4926ae214b330356328c55ab5eb2e"},"schema_version":"1.0"},"canonical_sha256":"8dd29414ed49d04e0947d9cc44b5faaa4cb10bd449c95772882f989f3e7dde83","source":{"kind":"arxiv","id":"2404.17802","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17802","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17802v1","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17802","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"pith_short_12","alias_value":"RXJJIFHNJHIE","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"pith_short_16","alias_value":"RXJJIFHNJHIE4CKH","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"pith_short_8","alias_value":"RXJJIFHN","created_at":"2026-07-05T08:12:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RXJJIFHNJHIE4CKH3HGEJNP2VJ","target":"record","payload":{"canonical_record":{"source":{"id":"2404.17802","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T06:55:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"23e368d8173e9e19071c22331f4f4c5e991d2dba9f0b52b436fd27b7518742d5","abstract_canon_sha256":"846da9894af00626f1695b77f589d26a25f4926ae214b330356328c55ab5eb2e"},"schema_version":"1.0"},"canonical_sha256":"8dd29414ed49d04e0947d9cc44b5faaa4cb10bd449c95772882f989f3e7dde83","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:12:54.325818Z","signature_b64":"16DivV4qG1N/blff2iLC4JnWrqvIiIkF36rTqpNvsBULQAFdqdtMFqG2di4IPmZRKUZ6sFx6TJzw6VjS0jpBCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8dd29414ed49d04e0947d9cc44b5faaa4cb10bd449c95772882f989f3e7dde83","last_reissued_at":"2026-07-05T08:12:54.325338Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:12:54.325338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.17802","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":"2026-07-05T08:12:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vNTmWHa0UVHyK5BBYqjdBeC/ncPwcnupqeftvoR+4XTQtdD8MNFqIsSPDcDvWHkuahS/+CKWrJClbIQJfUp1Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:15:11.909028Z"},"content_sha256":"7f7b57985e7d4d2ec54e8318d3521cc5cb2498220efe8cb4eec0bc7f420a9f1c","schema_version":"1.0","event_id":"sha256:7f7b57985e7d4d2ec54e8318d3521cc5cb2498220efe8cb4eec0bc7f420a9f1c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RXJJIFHNJHIE4CKH3HGEJNP2VJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Empirical Analysis of Dialogue Relation Extraction with Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Guozheng Li, Jiajun Liu, Ke Ji, Yikai Guo, Zijie Xu, Ziyu Shang","submitted_at":"2024-04-27T06:55:41Z","abstract_excerpt":"Dialogue relation extraction (DRE) aims to extract relations between two arguments within a dialogue, which is more challenging than standard RE due to the higher person pronoun frequency and lower information density in dialogues. However, existing DRE methods still suffer from two serious issues: (1) hard to capture long and sparse multi-turn information, and (2) struggle to extract golden relations based on partial dialogues, which motivates us to discover more effective methods that can alleviate the above issues. We notice that the rise of large language models (LLMs) has sparked consider"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17802","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/2404.17802/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":"2026-07-05T08:12:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mVSDLSH6ZT8s3DhpVRcyML2YgVQuzn5GelMMdsINBkLWn3zOkh/hl1rQL6BvK9OIgmWl7P91jRcA1OZu5j/UDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:15:11.909963Z"},"content_sha256":"0921edd3ff71bba9eb9d2939b44a20ab018f728f30b9741ea042095bbaca37a1","schema_version":"1.0","event_id":"sha256:0921edd3ff71bba9eb9d2939b44a20ab018f728f30b9741ea042095bbaca37a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RXJJIFHNJHIE4CKH3HGEJNP2VJ/bundle.json","state_url":"https://pith.science/pith/RXJJIFHNJHIE4CKH3HGEJNP2VJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RXJJIFHNJHIE4CKH3HGEJNP2VJ/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":"2026-08-10T17:15:11Z","links":{"resolver":"https://pith.science/pith/RXJJIFHNJHIE4CKH3HGEJNP2VJ","bundle":"https://pith.science/pith/RXJJIFHNJHIE4CKH3HGEJNP2VJ/bundle.json","state":"https://pith.science/pith/RXJJIFHNJHIE4CKH3HGEJNP2VJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RXJJIFHNJHIE4CKH3HGEJNP2VJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RXJJIFHNJHIE4CKH3HGEJNP2VJ","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":"846da9894af00626f1695b77f589d26a25f4926ae214b330356328c55ab5eb2e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T06:55:41Z","title_canon_sha256":"23e368d8173e9e19071c22331f4f4c5e991d2dba9f0b52b436fd27b7518742d5"},"schema_version":"1.0","source":{"id":"2404.17802","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17802","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17802v1","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17802","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"pith_short_12","alias_value":"RXJJIFHNJHIE","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"pith_short_16","alias_value":"RXJJIFHNJHIE4CKH","created_at":"2026-07-05T08:12:54Z"},{"alias_kind":"pith_short_8","alias_value":"RXJJIFHN","created_at":"2026-07-05T08:12:54Z"}],"graph_snapshots":[{"event_id":"sha256:0921edd3ff71bba9eb9d2939b44a20ab018f728f30b9741ea042095bbaca37a1","target":"graph","created_at":"2026-07-05T08:12:54Z","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/2404.17802/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dialogue relation extraction (DRE) aims to extract relations between two arguments within a dialogue, which is more challenging than standard RE due to the higher person pronoun frequency and lower information density in dialogues. However, existing DRE methods still suffer from two serious issues: (1) hard to capture long and sparse multi-turn information, and (2) struggle to extract golden relations based on partial dialogues, which motivates us to discover more effective methods that can alleviate the above issues. We notice that the rise of large language models (LLMs) has sparked consider","authors_text":"Guozheng Li, Jiajun Liu, Ke Ji, Yikai Guo, Zijie Xu, Ziyu Shang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T06:55:41Z","title":"Empirical Analysis of Dialogue Relation Extraction with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17802","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":"sha256:7f7b57985e7d4d2ec54e8318d3521cc5cb2498220efe8cb4eec0bc7f420a9f1c","target":"record","created_at":"2026-07-05T08:12:54Z","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":"846da9894af00626f1695b77f589d26a25f4926ae214b330356328c55ab5eb2e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T06:55:41Z","title_canon_sha256":"23e368d8173e9e19071c22331f4f4c5e991d2dba9f0b52b436fd27b7518742d5"},"schema_version":"1.0","source":{"id":"2404.17802","kind":"arxiv","version":1}},"canonical_sha256":"8dd29414ed49d04e0947d9cc44b5faaa4cb10bd449c95772882f989f3e7dde83","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8dd29414ed49d04e0947d9cc44b5faaa4cb10bd449c95772882f989f3e7dde83","first_computed_at":"2026-07-05T08:12:54.325338Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:12:54.325338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"16DivV4qG1N/blff2iLC4JnWrqvIiIkF36rTqpNvsBULQAFdqdtMFqG2di4IPmZRKUZ6sFx6TJzw6VjS0jpBCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:12:54.325818Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.17802","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f7b57985e7d4d2ec54e8318d3521cc5cb2498220efe8cb4eec0bc7f420a9f1c","sha256:0921edd3ff71bba9eb9d2939b44a20ab018f728f30b9741ea042095bbaca37a1"],"state_sha256":"90cb3ab2c66631669bdc946b6305f379d147b032000a322e488369e6a22f63dc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QuWrQRkV2HVyRHi4tyjlDHHk+gcoQWwaqpqdbs2bK+2OxerTPbr2GACTy3f2oWsz0xM2q7kArBiQb0SdMdxUAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T17:15:11.915890Z","bundle_sha256":"b5305777005459469b947002b85504b68c7ac3367c324180bf4e702a955b6d54"}}