{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UHGVMXNEVYLQ3FAWZMJVJSLNPI","short_pith_number":"pith:UHGVMXNE","canonical_record":{"source":{"id":"2308.10529","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-21T07:31:19Z","cross_cats_sorted":[],"title_canon_sha256":"ba08083442be085a30338e73b058f8b49ae094ea68873f410b8db06a167a7b34","abstract_canon_sha256":"1948ac12bcfba698f4872ebf430ebf033a86925068419709a5c5b7c39700a31e"},"schema_version":"1.0"},"canonical_sha256":"a1cd565da4ae170d9416cb1354c96d7a2169d30d5a45298f3242b99083e39781","source":{"kind":"arxiv","id":"2308.10529","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10529","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10529v1","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10529","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"pith_short_12","alias_value":"UHGVMXNEVYLQ","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"pith_short_16","alias_value":"UHGVMXNEVYLQ3FAW","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"pith_short_8","alias_value":"UHGVMXNE","created_at":"2026-07-05T06:43:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UHGVMXNEVYLQ3FAWZMJVJSLNPI","target":"record","payload":{"canonical_record":{"source":{"id":"2308.10529","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-21T07:31:19Z","cross_cats_sorted":[],"title_canon_sha256":"ba08083442be085a30338e73b058f8b49ae094ea68873f410b8db06a167a7b34","abstract_canon_sha256":"1948ac12bcfba698f4872ebf430ebf033a86925068419709a5c5b7c39700a31e"},"schema_version":"1.0"},"canonical_sha256":"a1cd565da4ae170d9416cb1354c96d7a2169d30d5a45298f3242b99083e39781","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:43:10.722424Z","signature_b64":"XkBCd4L67hALDXXFDzR948O6Uq2UnOaTv0yykOtlM1QdMQhxQIdeDOUed5lV/3BP1A03blPoxktCXFDEx/Q0CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1cd565da4ae170d9416cb1354c96d7a2169d30d5a45298f3242b99083e39781","last_reissued_at":"2026-07-05T06:43:10.722009Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:43:10.722009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.10529","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":"2026-07-05T06:43:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OuvPwU6TN2NNPFa7VL461ZYgF0TsREqIgUK/So1OTchh2bgz87GwKYgg06gi9lfmJ5zYxkwx9lgRVh3l2P7mAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T07:17:02.731071Z"},"content_sha256":"f6f30ee300011c2e7f001df873c02ad0bb918c802c4d13780d33c4e7c0143ed8","schema_version":"1.0","event_id":"sha256:f6f30ee300011c2e7f001df873c02ad0bb918c802c4d13780d33c4e7c0143ed8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UHGVMXNEVYLQ3FAWZMJVJSLNPI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chao Lou, Chengyue Jiang, Fei Huang, Hai-Tao Zheng, Jiong Cai, Kewei Tu, Ningyu Zhang, Pengjun Xie, Shen Huang, Tianyu Yu, Wei Liu, Xiaobin Wang, Yangning Li, Yinghui Li, Yong Jiang","submitted_at":"2023-08-21T07:31:19Z","abstract_excerpt":"Large language models (LLMs) have shown impressive ability for open-domain NLP tasks. However, LLMs are sometimes too footloose for natural language understanding (NLU) tasks which always have restricted output and input format. Their performances on NLU tasks are highly related to prompts or demonstrations and are shown to be poor at performing several representative NLU tasks, such as event extraction and entity typing. To this end, we present SeqGPT, a bilingual (i.e., English and Chinese) open-source autoregressive model specially enhanced for open-domain natural language understanding. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10529","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/2308.10529/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":"2026-07-05T06:43:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xyV1FwjS4kY7tUbyQnPs2naRfWvpV7W+kv5cp48ApGWkaBmweNMG/420TGKrWwIxrUvXtgHMo5iHPVtydD2HAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T07:17:02.731720Z"},"content_sha256":"73b32910f000914b3f2a27b0e0354b354727f950c17881609e43d0d8e41a0d0a","schema_version":"1.0","event_id":"sha256:73b32910f000914b3f2a27b0e0354b354727f950c17881609e43d0d8e41a0d0a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UHGVMXNEVYLQ3FAWZMJVJSLNPI/bundle.json","state_url":"https://pith.science/pith/UHGVMXNEVYLQ3FAWZMJVJSLNPI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UHGVMXNEVYLQ3FAWZMJVJSLNPI/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":"2026-08-07T07:17:02Z","links":{"resolver":"https://pith.science/pith/UHGVMXNEVYLQ3FAWZMJVJSLNPI","bundle":"https://pith.science/pith/UHGVMXNEVYLQ3FAWZMJVJSLNPI/bundle.json","state":"https://pith.science/pith/UHGVMXNEVYLQ3FAWZMJVJSLNPI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UHGVMXNEVYLQ3FAWZMJVJSLNPI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UHGVMXNEVYLQ3FAWZMJVJSLNPI","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":"1948ac12bcfba698f4872ebf430ebf033a86925068419709a5c5b7c39700a31e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-21T07:31:19Z","title_canon_sha256":"ba08083442be085a30338e73b058f8b49ae094ea68873f410b8db06a167a7b34"},"schema_version":"1.0","source":{"id":"2308.10529","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10529","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10529v1","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10529","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"pith_short_12","alias_value":"UHGVMXNEVYLQ","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"pith_short_16","alias_value":"UHGVMXNEVYLQ3FAW","created_at":"2026-07-05T06:43:10Z"},{"alias_kind":"pith_short_8","alias_value":"UHGVMXNE","created_at":"2026-07-05T06:43:10Z"}],"graph_snapshots":[{"event_id":"sha256:73b32910f000914b3f2a27b0e0354b354727f950c17881609e43d0d8e41a0d0a","target":"graph","created_at":"2026-07-05T06:43:10Z","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/2308.10529/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have shown impressive ability for open-domain NLP tasks. However, LLMs are sometimes too footloose for natural language understanding (NLU) tasks which always have restricted output and input format. Their performances on NLU tasks are highly related to prompts or demonstrations and are shown to be poor at performing several representative NLU tasks, such as event extraction and entity typing. To this end, we present SeqGPT, a bilingual (i.e., English and Chinese) open-source autoregressive model specially enhanced for open-domain natural language understanding. We","authors_text":"Chao Lou, Chengyue Jiang, Fei Huang, Hai-Tao Zheng, Jiong Cai, Kewei Tu, Ningyu Zhang, Pengjun Xie, Shen Huang, Tianyu Yu, Wei Liu, Xiaobin Wang, Yangning Li, Yinghui Li, Yong Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-21T07:31:19Z","title":"SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10529","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:f6f30ee300011c2e7f001df873c02ad0bb918c802c4d13780d33c4e7c0143ed8","target":"record","created_at":"2026-07-05T06:43:10Z","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":"1948ac12bcfba698f4872ebf430ebf033a86925068419709a5c5b7c39700a31e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-08-21T07:31:19Z","title_canon_sha256":"ba08083442be085a30338e73b058f8b49ae094ea68873f410b8db06a167a7b34"},"schema_version":"1.0","source":{"id":"2308.10529","kind":"arxiv","version":1}},"canonical_sha256":"a1cd565da4ae170d9416cb1354c96d7a2169d30d5a45298f3242b99083e39781","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1cd565da4ae170d9416cb1354c96d7a2169d30d5a45298f3242b99083e39781","first_computed_at":"2026-07-05T06:43:10.722009Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:43:10.722009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XkBCd4L67hALDXXFDzR948O6Uq2UnOaTv0yykOtlM1QdMQhxQIdeDOUed5lV/3BP1A03blPoxktCXFDEx/Q0CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:43:10.722424Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.10529","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6f30ee300011c2e7f001df873c02ad0bb918c802c4d13780d33c4e7c0143ed8","sha256:73b32910f000914b3f2a27b0e0354b354727f950c17881609e43d0d8e41a0d0a"],"state_sha256":"2fceacbb59cf7a5d4f47aa33e622404eeb25810717657d3b00a62db51626485c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kB39YqQL/tOKa6xULaOqV5s8LACJbwFggWutoCZ+uKWXtWEsaMzx5YDNz18e9kW04fD1XH/0vtLuD9L9Blw7Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T07:17:02.737339Z","bundle_sha256":"188a67693cd57f003e0bfcc90a859b605a0e10c8dabb76a2da81c9b451a5fb33"}}