{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ABVP7BBP6AUMVAWUTLQNRKV24V","short_pith_number":"pith:ABVP7BBP","canonical_record":{"source":{"id":"2009.13570","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-09-28T18:36:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f725d4b6988eeff66d4c4339f186017468b8d505802320b9c1820574765fe793","abstract_canon_sha256":"eef89ab239b0f2dd2bbb6db9f21bf81d96dbe32bba2add636f523e72034ce04a"},"schema_version":"1.0"},"canonical_sha256":"006aff842ff028ca82d49ae0d8aabae540a16f462352249eea562f74001cc0f3","source":{"kind":"arxiv","id":"2009.13570","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.13570","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"2009.13570v2","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.13570","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"ABVP7BBP6AUM","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"pith_short_16","alias_value":"ABVP7BBP6AUMVAWU","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"pith_short_8","alias_value":"ABVP7BBP","created_at":"2026-07-05T01:39:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ABVP7BBP6AUMVAWUTLQNRKV24V","target":"record","payload":{"canonical_record":{"source":{"id":"2009.13570","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-09-28T18:36:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f725d4b6988eeff66d4c4339f186017468b8d505802320b9c1820574765fe793","abstract_canon_sha256":"eef89ab239b0f2dd2bbb6db9f21bf81d96dbe32bba2add636f523e72034ce04a"},"schema_version":"1.0"},"canonical_sha256":"006aff842ff028ca82d49ae0d8aabae540a16f462352249eea562f74001cc0f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:39:29.238080Z","signature_b64":"HH5nEZCjE0PxTGJjnZ3Gqt8LtjhVJYhPqQm8FRG1LVQdNPx1QFkyiAboKaiFbSurdKbnXIrZYC1FuUWJ0fTHDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"006aff842ff028ca82d49ae0d8aabae540a16f462352249eea562f74001cc0f3","last_reissued_at":"2026-07-05T01:39:29.237690Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:39:29.237690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.13570","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":"2026-07-05T01:39:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cValmwCMyv65hCh6AIlioIL32kdraQl3l4vfWgAsWn8yZxC0M36RKyavZCMI0Oh8kXK7WOuUS7AECo9o1qmsBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:55:27.283389Z"},"content_sha256":"45fdddc23da44511bcc05b6a3c0b6739296b2914ed82460d57e45d2783c48aa1","schema_version":"1.0","event_id":"sha256:45fdddc23da44511bcc05b6a3c0b6739296b2914ed82460d57e45d2783c48aa1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ABVP7BBP6AUMVAWUTLQNRKV24V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Dilek Hakkani-Tur, Mihail Eric, Shikib Mehri","submitted_at":"2020-09-28T18:36:23Z","abstract_excerpt":"A long-standing goal of task-oriented dialogue research is the ability to flexibly adapt dialogue models to new domains. To progress research in this direction, we introduce DialoGLUE (Dialogue Language Understanding Evaluation), a public benchmark consisting of 7 task-oriented dialogue datasets covering 4 distinct natural language understanding tasks, designed to encourage dialogue research in representation-based transfer, domain adaptation, and sample-efficient task learning. We release several strong baseline models, demonstrating performance improvements over a vanilla BERT architecture a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.13570","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/2009.13570/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":"2026-07-05T01:39:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/fckIubb9DkZyP7bC0gQjsgKcSI2+n6mmSYUnLQG7iRqksOw17XvNICsZ6W1kvIRe6mqWCNs86XEiE9lWmqWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:55:27.283928Z"},"content_sha256":"74216af9798064252822f1a18b0307b3c4b82e2f64ffaf167fd0e96777423a15","schema_version":"1.0","event_id":"sha256:74216af9798064252822f1a18b0307b3c4b82e2f64ffaf167fd0e96777423a15"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ABVP7BBP6AUMVAWUTLQNRKV24V/bundle.json","state_url":"https://pith.science/pith/ABVP7BBP6AUMVAWUTLQNRKV24V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ABVP7BBP6AUMVAWUTLQNRKV24V/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":"2026-08-10T00:55:27Z","links":{"resolver":"https://pith.science/pith/ABVP7BBP6AUMVAWUTLQNRKV24V","bundle":"https://pith.science/pith/ABVP7BBP6AUMVAWUTLQNRKV24V/bundle.json","state":"https://pith.science/pith/ABVP7BBP6AUMVAWUTLQNRKV24V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ABVP7BBP6AUMVAWUTLQNRKV24V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ABVP7BBP6AUMVAWUTLQNRKV24V","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":"eef89ab239b0f2dd2bbb6db9f21bf81d96dbe32bba2add636f523e72034ce04a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-09-28T18:36:23Z","title_canon_sha256":"f725d4b6988eeff66d4c4339f186017468b8d505802320b9c1820574765fe793"},"schema_version":"1.0","source":{"id":"2009.13570","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.13570","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"2009.13570v2","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.13570","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"ABVP7BBP6AUM","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"pith_short_16","alias_value":"ABVP7BBP6AUMVAWU","created_at":"2026-07-05T01:39:29Z"},{"alias_kind":"pith_short_8","alias_value":"ABVP7BBP","created_at":"2026-07-05T01:39:29Z"}],"graph_snapshots":[{"event_id":"sha256:74216af9798064252822f1a18b0307b3c4b82e2f64ffaf167fd0e96777423a15","target":"graph","created_at":"2026-07-05T01:39:29Z","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/2009.13570/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A long-standing goal of task-oriented dialogue research is the ability to flexibly adapt dialogue models to new domains. To progress research in this direction, we introduce DialoGLUE (Dialogue Language Understanding Evaluation), a public benchmark consisting of 7 task-oriented dialogue datasets covering 4 distinct natural language understanding tasks, designed to encourage dialogue research in representation-based transfer, domain adaptation, and sample-efficient task learning. We release several strong baseline models, demonstrating performance improvements over a vanilla BERT architecture a","authors_text":"Dilek Hakkani-Tur, Mihail Eric, Shikib Mehri","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-09-28T18:36:23Z","title":"DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.13570","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":"sha256:45fdddc23da44511bcc05b6a3c0b6739296b2914ed82460d57e45d2783c48aa1","target":"record","created_at":"2026-07-05T01:39:29Z","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":"eef89ab239b0f2dd2bbb6db9f21bf81d96dbe32bba2add636f523e72034ce04a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2020-09-28T18:36:23Z","title_canon_sha256":"f725d4b6988eeff66d4c4339f186017468b8d505802320b9c1820574765fe793"},"schema_version":"1.0","source":{"id":"2009.13570","kind":"arxiv","version":2}},"canonical_sha256":"006aff842ff028ca82d49ae0d8aabae540a16f462352249eea562f74001cc0f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"006aff842ff028ca82d49ae0d8aabae540a16f462352249eea562f74001cc0f3","first_computed_at":"2026-07-05T01:39:29.237690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:39:29.237690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HH5nEZCjE0PxTGJjnZ3Gqt8LtjhVJYhPqQm8FRG1LVQdNPx1QFkyiAboKaiFbSurdKbnXIrZYC1FuUWJ0fTHDw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:39:29.238080Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.13570","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:45fdddc23da44511bcc05b6a3c0b6739296b2914ed82460d57e45d2783c48aa1","sha256:74216af9798064252822f1a18b0307b3c4b82e2f64ffaf167fd0e96777423a15"],"state_sha256":"326a16a16ea254a97d52761f02dc561dbc1f5bc71b5ed762532336f7bb2b8dd1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OkBOZr/W+YmKxI24ZQp2VwGDHncbmxZTdaPAL6pCr3xl7HrPiUivjyaem6ozbfocQ6aVvnPqcYoIeg7fwMJeDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T00:55:27.288083Z","bundle_sha256":"69bb767ca011d33abeb33211d949fab86b256c59fc6365597d1ca0262c210507"}}