{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DHASIKYQ4Y6PU7H2QV5JUXFH7R","short_pith_number":"pith:DHASIKYQ","canonical_record":{"source":{"id":"2307.00360","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-01T15:10:01Z","cross_cats_sorted":[],"title_canon_sha256":"a3ddf0a2a9b6ce58119e4c7a47e242b2ff27d4ab7d1a831d8c138b5281c4bd89","abstract_canon_sha256":"028da2236d1b8c31323b68a9e1fa3022a45f1aabb851f91c89903991c2bbc614"},"schema_version":"1.0"},"canonical_sha256":"19c1242b10e63cfa7cfa857a9a5ca7fc57618f60da58d112f0614d23f2b60d45","source":{"kind":"arxiv","id":"2307.00360","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.00360","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"arxiv_version","alias_value":"2307.00360v2","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.00360","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"pith_short_12","alias_value":"DHASIKYQ4Y6P","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"pith_short_16","alias_value":"DHASIKYQ4Y6PU7H2","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"pith_short_8","alias_value":"DHASIKYQ","created_at":"2026-07-05T06:41:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DHASIKYQ4Y6PU7H2QV5JUXFH7R","target":"record","payload":{"canonical_record":{"source":{"id":"2307.00360","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-01T15:10:01Z","cross_cats_sorted":[],"title_canon_sha256":"a3ddf0a2a9b6ce58119e4c7a47e242b2ff27d4ab7d1a831d8c138b5281c4bd89","abstract_canon_sha256":"028da2236d1b8c31323b68a9e1fa3022a45f1aabb851f91c89903991c2bbc614"},"schema_version":"1.0"},"canonical_sha256":"19c1242b10e63cfa7cfa857a9a5ca7fc57618f60da58d112f0614d23f2b60d45","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:41:20.754163Z","signature_b64":"AytL5oKiXZHeALabxoesqEvzc59GBEalwiWMkMF81nW55mmaJt1YpjEj8kUd1sJrGUVC931sGoG77Fd+glVuCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19c1242b10e63cfa7cfa857a9a5ca7fc57618f60da58d112f0614d23f2b60d45","last_reissued_at":"2026-07-05T06:41:20.753624Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:41:20.753624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.00360","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":"2026-07-05T06:41:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+chDZtJwjjzf5Txya43Y1SI+Bm6bR0PXE9HOnM3dkFvmjflJwqouQuLY/9IXQYYPBNZ3jMcr5HwaGcWtIqgXAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:24:20.669964Z"},"content_sha256":"66dce57f0264b60072e20fb140835fe491e5f6d5d508c2fcc39e89f1c19609d5","schema_version":"1.0","event_id":"sha256:66dce57f0264b60072e20fb140835fe491e5f6d5d508c2fcc39e89f1c19609d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DHASIKYQ4Y6PU7H2QV5JUXFH7R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained Transformer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dongjie Yang, Hai Zhao, Shitou Zhang, Yifei Yang, Zuchao Li","submitted_at":"2023-07-01T15:10:01Z","abstract_excerpt":"BatGPT is a large-scale language model designed and trained jointly by Wuhan University and Shanghai Jiao Tong University. It is capable of generating highly natural and fluent text in response to various types of input, including text prompts, images, and audio. In the modeling level, we employ a bidirectional autoregressive architecture that allows the model to efficiently capture the complex dependencies of natural language, making it highly effective in tasks such as language generation, dialog systems, and question answering. Moreover, the bidirectional autoregressive modeling not only op"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.00360","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/2307.00360/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":"2026-07-05T06:41:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0bG/GwIHJWbXG6dDJXCU3K9mCfUc4vA9z05KMKiQXh+kS3CkAnaiBmTHVLyAUhERY7FunMISuOyhUEApFvzLDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:24:20.670484Z"},"content_sha256":"4d16852f437a453665233df3124718441ca6c88b677f6ff9f61f708480aefba5","schema_version":"1.0","event_id":"sha256:4d16852f437a453665233df3124718441ca6c88b677f6ff9f61f708480aefba5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DHASIKYQ4Y6PU7H2QV5JUXFH7R/bundle.json","state_url":"https://pith.science/pith/DHASIKYQ4Y6PU7H2QV5JUXFH7R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DHASIKYQ4Y6PU7H2QV5JUXFH7R/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":"2026-08-04T20:24:20Z","links":{"resolver":"https://pith.science/pith/DHASIKYQ4Y6PU7H2QV5JUXFH7R","bundle":"https://pith.science/pith/DHASIKYQ4Y6PU7H2QV5JUXFH7R/bundle.json","state":"https://pith.science/pith/DHASIKYQ4Y6PU7H2QV5JUXFH7R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DHASIKYQ4Y6PU7H2QV5JUXFH7R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DHASIKYQ4Y6PU7H2QV5JUXFH7R","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":"028da2236d1b8c31323b68a9e1fa3022a45f1aabb851f91c89903991c2bbc614","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-01T15:10:01Z","title_canon_sha256":"a3ddf0a2a9b6ce58119e4c7a47e242b2ff27d4ab7d1a831d8c138b5281c4bd89"},"schema_version":"1.0","source":{"id":"2307.00360","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.00360","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"arxiv_version","alias_value":"2307.00360v2","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.00360","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"pith_short_12","alias_value":"DHASIKYQ4Y6P","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"pith_short_16","alias_value":"DHASIKYQ4Y6PU7H2","created_at":"2026-07-05T06:41:20Z"},{"alias_kind":"pith_short_8","alias_value":"DHASIKYQ","created_at":"2026-07-05T06:41:20Z"}],"graph_snapshots":[{"event_id":"sha256:4d16852f437a453665233df3124718441ca6c88b677f6ff9f61f708480aefba5","target":"graph","created_at":"2026-07-05T06:41:20Z","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/2307.00360/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"BatGPT is a large-scale language model designed and trained jointly by Wuhan University and Shanghai Jiao Tong University. It is capable of generating highly natural and fluent text in response to various types of input, including text prompts, images, and audio. In the modeling level, we employ a bidirectional autoregressive architecture that allows the model to efficiently capture the complex dependencies of natural language, making it highly effective in tasks such as language generation, dialog systems, and question answering. Moreover, the bidirectional autoregressive modeling not only op","authors_text":"Dongjie Yang, Hai Zhao, Shitou Zhang, Yifei Yang, Zuchao Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-01T15:10:01Z","title":"BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.00360","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":"sha256:66dce57f0264b60072e20fb140835fe491e5f6d5d508c2fcc39e89f1c19609d5","target":"record","created_at":"2026-07-05T06:41:20Z","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":"028da2236d1b8c31323b68a9e1fa3022a45f1aabb851f91c89903991c2bbc614","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-07-01T15:10:01Z","title_canon_sha256":"a3ddf0a2a9b6ce58119e4c7a47e242b2ff27d4ab7d1a831d8c138b5281c4bd89"},"schema_version":"1.0","source":{"id":"2307.00360","kind":"arxiv","version":2}},"canonical_sha256":"19c1242b10e63cfa7cfa857a9a5ca7fc57618f60da58d112f0614d23f2b60d45","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19c1242b10e63cfa7cfa857a9a5ca7fc57618f60da58d112f0614d23f2b60d45","first_computed_at":"2026-07-05T06:41:20.753624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:41:20.753624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AytL5oKiXZHeALabxoesqEvzc59GBEalwiWMkMF81nW55mmaJt1YpjEj8kUd1sJrGUVC931sGoG77Fd+glVuCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:41:20.754163Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.00360","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66dce57f0264b60072e20fb140835fe491e5f6d5d508c2fcc39e89f1c19609d5","sha256:4d16852f437a453665233df3124718441ca6c88b677f6ff9f61f708480aefba5"],"state_sha256":"e9ccddfcbaabd441298ec076b21fb574e59118b9afbec4fda94abd1bf7a833eb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qK8i5b86CBM0kKMCpYb3VfkFSoQxSK6Cdw1mnkyOOUeWS3a/bvjOBaemMM2qf9vuRBhbbUEmyTR9jEc/tgsMBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T20:24:20.676192Z","bundle_sha256":"d7857285fca8399665fef5d1409d8d5a2bfc022941246b3ffc5bf039b24bbb51"}}