{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:M57DAR65QS7WWMIH3HQMIKP5BO","short_pith_number":"pith:M57DAR65","canonical_record":{"source":{"id":"2306.01386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T09:15:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7bc43e6c9cd4d81d871b3a48e287f1026980cc02fecb764b8300d00a7db33b41","abstract_canon_sha256":"6a3601ae44021c9fe867f76b5316d69f4b0b2dee4f1b66d14396fd26ae9ccdfa"},"schema_version":"1.0"},"canonical_sha256":"677e3047dd84bf6b3107d9e0c429fd0bbe81cff5eb1df06ac7e0713139890a06","source":{"kind":"arxiv","id":"2306.01386","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01386","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01386v1","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01386","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"pith_short_12","alias_value":"M57DAR65QS7W","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"pith_short_16","alias_value":"M57DAR65QS7WWMIH","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"pith_short_8","alias_value":"M57DAR65","created_at":"2026-07-05T06:16:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:M57DAR65QS7WWMIH3HQMIKP5BO","target":"record","payload":{"canonical_record":{"source":{"id":"2306.01386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T09:15:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7bc43e6c9cd4d81d871b3a48e287f1026980cc02fecb764b8300d00a7db33b41","abstract_canon_sha256":"6a3601ae44021c9fe867f76b5316d69f4b0b2dee4f1b66d14396fd26ae9ccdfa"},"schema_version":"1.0"},"canonical_sha256":"677e3047dd84bf6b3107d9e0c429fd0bbe81cff5eb1df06ac7e0713139890a06","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:16:53.443691Z","signature_b64":"Ea1CCRavC7vOXFE8OvgjM3XVpToO5kcSgRulLtK6pHFCaoAXrwxkR3+j8UU6cESogHZDspFzSB70/1dqVddgCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"677e3047dd84bf6b3107d9e0c429fd0bbe81cff5eb1df06ac7e0713139890a06","last_reissued_at":"2026-07-05T06:16:53.443233Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:16:53.443233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.01386","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":"2026-07-05T06:16:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oOVa1pzApAIORQaxmr9awzsB+OGmnX1UiEPRAbODyxMAhWfM7dgmKEJ5lIGmROp5qN4mwM5anKOkqI0fqZapAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:54:03.638458Z"},"content_sha256":"abc19b1588870ae3152fc8d6698567005000e01fd9acc523172011e9d1bb684f","schema_version":"1.0","event_id":"sha256:abc19b1588870ae3152fc8d6698567005000e01fd9acc523172011e9d1bb684f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:M57DAR65QS7WWMIH3HQMIKP5BO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Benjamin Ruppik, Carel van Niekerk, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Milica Ga\\v{s}i\\'c, Nurul Lubis, Renato Vukovic, Shutong Feng","submitted_at":"2023-06-02T09:15:01Z","abstract_excerpt":"Recent research on dialogue state tracking (DST) focuses on methods that allow few- and zero-shot transfer to new domains or schemas. However, performance gains heavily depend on aggressive data augmentation and fine-tuning of ever larger language model based architectures. In contrast, general purpose language models, trained on large amounts of diverse data, hold the promise of solving any kind of task without task-specific training. We present preliminary experimental results on the ChatGPT research preview, showing that ChatGPT achieves state-of-the-art performance in zero-shot DST. Despit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01386","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/2306.01386/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":"2026-07-05T06:16:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ph0oNBd9ZKpU/3v1TTC8SPViLoF6kT5JXroo7rAdUAY6X2GvaZBT4RcQek6SWCRuP3v6cWISFBAOCXPtpZ/JDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:54:03.639533Z"},"content_sha256":"3112a801850e6d47ec92502736db5247a347ecdecaf984dc338302c57f82ea82","schema_version":"1.0","event_id":"sha256:3112a801850e6d47ec92502736db5247a347ecdecaf984dc338302c57f82ea82"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M57DAR65QS7WWMIH3HQMIKP5BO/bundle.json","state_url":"https://pith.science/pith/M57DAR65QS7WWMIH3HQMIKP5BO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M57DAR65QS7WWMIH3HQMIKP5BO/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":"2026-08-09T04:54:03Z","links":{"resolver":"https://pith.science/pith/M57DAR65QS7WWMIH3HQMIKP5BO","bundle":"https://pith.science/pith/M57DAR65QS7WWMIH3HQMIKP5BO/bundle.json","state":"https://pith.science/pith/M57DAR65QS7WWMIH3HQMIKP5BO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M57DAR65QS7WWMIH3HQMIKP5BO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:M57DAR65QS7WWMIH3HQMIKP5BO","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":"6a3601ae44021c9fe867f76b5316d69f4b0b2dee4f1b66d14396fd26ae9ccdfa","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T09:15:01Z","title_canon_sha256":"7bc43e6c9cd4d81d871b3a48e287f1026980cc02fecb764b8300d00a7db33b41"},"schema_version":"1.0","source":{"id":"2306.01386","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01386","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01386v1","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01386","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"pith_short_12","alias_value":"M57DAR65QS7W","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"pith_short_16","alias_value":"M57DAR65QS7WWMIH","created_at":"2026-07-05T06:16:53Z"},{"alias_kind":"pith_short_8","alias_value":"M57DAR65","created_at":"2026-07-05T06:16:53Z"}],"graph_snapshots":[{"event_id":"sha256:3112a801850e6d47ec92502736db5247a347ecdecaf984dc338302c57f82ea82","target":"graph","created_at":"2026-07-05T06:16:53Z","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/2306.01386/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent research on dialogue state tracking (DST) focuses on methods that allow few- and zero-shot transfer to new domains or schemas. However, performance gains heavily depend on aggressive data augmentation and fine-tuning of ever larger language model based architectures. In contrast, general purpose language models, trained on large amounts of diverse data, hold the promise of solving any kind of task without task-specific training. We present preliminary experimental results on the ChatGPT research preview, showing that ChatGPT achieves state-of-the-art performance in zero-shot DST. Despit","authors_text":"Benjamin Ruppik, Carel van Niekerk, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Milica Ga\\v{s}i\\'c, Nurul Lubis, Renato Vukovic, Shutong Feng","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T09:15:01Z","title":"ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01386","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:abc19b1588870ae3152fc8d6698567005000e01fd9acc523172011e9d1bb684f","target":"record","created_at":"2026-07-05T06:16:53Z","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":"6a3601ae44021c9fe867f76b5316d69f4b0b2dee4f1b66d14396fd26ae9ccdfa","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T09:15:01Z","title_canon_sha256":"7bc43e6c9cd4d81d871b3a48e287f1026980cc02fecb764b8300d00a7db33b41"},"schema_version":"1.0","source":{"id":"2306.01386","kind":"arxiv","version":1}},"canonical_sha256":"677e3047dd84bf6b3107d9e0c429fd0bbe81cff5eb1df06ac7e0713139890a06","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"677e3047dd84bf6b3107d9e0c429fd0bbe81cff5eb1df06ac7e0713139890a06","first_computed_at":"2026-07-05T06:16:53.443233Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:16:53.443233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ea1CCRavC7vOXFE8OvgjM3XVpToO5kcSgRulLtK6pHFCaoAXrwxkR3+j8UU6cESogHZDspFzSB70/1dqVddgCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:16:53.443691Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.01386","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:abc19b1588870ae3152fc8d6698567005000e01fd9acc523172011e9d1bb684f","sha256:3112a801850e6d47ec92502736db5247a347ecdecaf984dc338302c57f82ea82"],"state_sha256":"209af639f861765515bfbbb1d552f1b4016e5cca9ea23cae830ef6df57da19e7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LvLpdD2WS0zSnfMguUma+q6JjKkq5myFWXdFmx4+Jg0145fdsqUHjYv3bkfYRV7/aq0xKABZVLlljrHEP1mRBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:54:03.647889Z","bundle_sha256":"da5655380f20fe4a7257964becf08aa4bf324df8f60e5adc706d182c9d2c2960"}}