{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OMHZ7C3IJW4NWBOCXYUJHKUZFU","short_pith_number":"pith:OMHZ7C3I","canonical_record":{"source":{"id":"2306.06941","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-12T08:21:34Z","cross_cats_sorted":[],"title_canon_sha256":"0956edd1e4dd10a6fa721b93c69f727a5f9ef2d54030e73368ffb2e31ae29cbe","abstract_canon_sha256":"340611e087439f42434ccd2e1e941a6efd8da7e2b5a9f1f3557d90c19b592b56"},"schema_version":"1.0"},"canonical_sha256":"730f9f8b684db8db05c2be2893aa992d3ecb9d8896e2197b50554a1fa694abd5","source":{"kind":"arxiv","id":"2306.06941","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06941","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06941v1","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06941","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"OMHZ7C3IJW4N","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"OMHZ7C3IJW4NWBOC","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"OMHZ7C3I","created_at":"2026-07-05T06:19:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OMHZ7C3IJW4NWBOCXYUJHKUZFU","target":"record","payload":{"canonical_record":{"source":{"id":"2306.06941","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-12T08:21:34Z","cross_cats_sorted":[],"title_canon_sha256":"0956edd1e4dd10a6fa721b93c69f727a5f9ef2d54030e73368ffb2e31ae29cbe","abstract_canon_sha256":"340611e087439f42434ccd2e1e941a6efd8da7e2b5a9f1f3557d90c19b592b56"},"schema_version":"1.0"},"canonical_sha256":"730f9f8b684db8db05c2be2893aa992d3ecb9d8896e2197b50554a1fa694abd5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:19:45.930107Z","signature_b64":"8Xzuo0umzdrLRwK6uY3ZN1npxlEhTmEVA/EYyI9pZczm1TEbPuyGwll4W5H4Z2/SDU2fJfMOvXMWQbmn5Cf3BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"730f9f8b684db8db05c2be2893aa992d3ecb9d8896e2197b50554a1fa694abd5","last_reissued_at":"2026-07-05T06:19:45.929735Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:19:45.929735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.06941","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":"2026-07-05T06:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uJ3AmtmtgJ1U6PEq+Jbli8aw3/1Kds+DZcatep6JQUbo7AfV41isBVb2NA/rbx7CNEa3U6LXeJmt2K8e7gq3BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T12:30:23.796277Z"},"content_sha256":"adcf321194463d032d37183a32123f697053b12786a835c28326b0f55a78b07c","schema_version":"1.0","event_id":"sha256:adcf321194463d032d37183a32123f697053b12786a835c28326b0f55a78b07c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OMHZ7C3IJW4NWBOCXYUJHKUZFU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ana\\\"is Tack, Chris Piech, Ekaterina Kochmar, Serge Bibauw, Zheng Yuan","submitted_at":"2023-06-12T08:21:34Z","abstract_excerpt":"This paper describes the results of the first shared task on the generation of teacher responses in educational dialogues. The goal of the task was to benchmark the ability of generative language models to act as AI teachers, replying to a student in a teacher-student dialogue. Eight teams participated in the competition hosted on CodaLab. They experimented with a wide variety of state-of-the-art models, including Alpaca, Bloom, DialoGPT, DistilGPT-2, Flan-T5, GPT-2, GPT-3, GPT- 4, LLaMA, OPT-2.7B, and T5-base. Their submissions were automatically scored using BERTScore and DialogRPT metrics, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06941","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/2306.06941/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":"2026-07-05T06:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kDEylGuRfRhptBumrdVuRe824E0+wuayaXbyIV1n4xy6ShYEpPzELACeWdD3Km75zViAZUTQD7RUjxvoOeDHBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T12:30:23.797262Z"},"content_sha256":"2dde9d0be759db6a173f894fd3ed6ecbd60bbd93adfa16ae12a2632ee6f7ced3","schema_version":"1.0","event_id":"sha256:2dde9d0be759db6a173f894fd3ed6ecbd60bbd93adfa16ae12a2632ee6f7ced3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OMHZ7C3IJW4NWBOCXYUJHKUZFU/bundle.json","state_url":"https://pith.science/pith/OMHZ7C3IJW4NWBOCXYUJHKUZFU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OMHZ7C3IJW4NWBOCXYUJHKUZFU/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":"2026-08-21T12:30:23Z","links":{"resolver":"https://pith.science/pith/OMHZ7C3IJW4NWBOCXYUJHKUZFU","bundle":"https://pith.science/pith/OMHZ7C3IJW4NWBOCXYUJHKUZFU/bundle.json","state":"https://pith.science/pith/OMHZ7C3IJW4NWBOCXYUJHKUZFU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OMHZ7C3IJW4NWBOCXYUJHKUZFU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OMHZ7C3IJW4NWBOCXYUJHKUZFU","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":"340611e087439f42434ccd2e1e941a6efd8da7e2b5a9f1f3557d90c19b592b56","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-12T08:21:34Z","title_canon_sha256":"0956edd1e4dd10a6fa721b93c69f727a5f9ef2d54030e73368ffb2e31ae29cbe"},"schema_version":"1.0","source":{"id":"2306.06941","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06941","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06941v1","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06941","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"OMHZ7C3IJW4N","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"OMHZ7C3IJW4NWBOC","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"OMHZ7C3I","created_at":"2026-07-05T06:19:45Z"}],"graph_snapshots":[{"event_id":"sha256:2dde9d0be759db6a173f894fd3ed6ecbd60bbd93adfa16ae12a2632ee6f7ced3","target":"graph","created_at":"2026-07-05T06:19:45Z","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/2306.06941/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper describes the results of the first shared task on the generation of teacher responses in educational dialogues. The goal of the task was to benchmark the ability of generative language models to act as AI teachers, replying to a student in a teacher-student dialogue. Eight teams participated in the competition hosted on CodaLab. They experimented with a wide variety of state-of-the-art models, including Alpaca, Bloom, DialoGPT, DistilGPT-2, Flan-T5, GPT-2, GPT-3, GPT- 4, LLaMA, OPT-2.7B, and T5-base. Their submissions were automatically scored using BERTScore and DialogRPT metrics, ","authors_text":"Ana\\\"is Tack, Chris Piech, Ekaterina Kochmar, Serge Bibauw, Zheng Yuan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-12T08:21:34Z","title":"The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06941","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:adcf321194463d032d37183a32123f697053b12786a835c28326b0f55a78b07c","target":"record","created_at":"2026-07-05T06:19:45Z","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":"340611e087439f42434ccd2e1e941a6efd8da7e2b5a9f1f3557d90c19b592b56","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-12T08:21:34Z","title_canon_sha256":"0956edd1e4dd10a6fa721b93c69f727a5f9ef2d54030e73368ffb2e31ae29cbe"},"schema_version":"1.0","source":{"id":"2306.06941","kind":"arxiv","version":1}},"canonical_sha256":"730f9f8b684db8db05c2be2893aa992d3ecb9d8896e2197b50554a1fa694abd5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"730f9f8b684db8db05c2be2893aa992d3ecb9d8896e2197b50554a1fa694abd5","first_computed_at":"2026-07-05T06:19:45.929735Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:19:45.929735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8Xzuo0umzdrLRwK6uY3ZN1npxlEhTmEVA/EYyI9pZczm1TEbPuyGwll4W5H4Z2/SDU2fJfMOvXMWQbmn5Cf3BA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:19:45.930107Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.06941","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:adcf321194463d032d37183a32123f697053b12786a835c28326b0f55a78b07c","sha256:2dde9d0be759db6a173f894fd3ed6ecbd60bbd93adfa16ae12a2632ee6f7ced3"],"state_sha256":"2fef9f3bf6a91c93f4cea9110f7aaaa05fb39056ac41a414f6c6c64128fcb3b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cjhhaMrVz7jsxaGgr3UjnlZUOHqcZ49o+xOLDJ6K1nve8L0qTDRmjj40pocROLa8MFrd/T2qhdmSqoAJ3otMAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T12:30:23.807209Z","bundle_sha256":"6e8145851ab5d77798825acc724a7702e32ab10b425a5d887cfbea9bc1177953"}}