{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:AODS4WDFFNMSFSMYV2B75HODNM","short_pith_number":"pith:AODS4WDF","canonical_record":{"source":{"id":"2107.07119","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-07-15T04:57:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"69b4b3b533eda8e45ad747abde1c83c1b6633c7729e7826a1bc3c6723cd78027","abstract_canon_sha256":"db296af457867604d69272fc416e530e9edd8b9e0c69433507c86600215927d1"},"schema_version":"1.0"},"canonical_sha256":"03872e58652b5922c998ae83fe9dc36b3990d6980e2e3b6cb0897cf9b6c5f993","source":{"kind":"arxiv","id":"2107.07119","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.07119","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"arxiv_version","alias_value":"2107.07119v1","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.07119","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"pith_short_12","alias_value":"AODS4WDFFNMS","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"pith_short_16","alias_value":"AODS4WDFFNMSFSMY","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"pith_short_8","alias_value":"AODS4WDF","created_at":"2026-07-05T02:58:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:AODS4WDFFNMSFSMYV2B75HODNM","target":"record","payload":{"canonical_record":{"source":{"id":"2107.07119","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-07-15T04:57:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"69b4b3b533eda8e45ad747abde1c83c1b6633c7729e7826a1bc3c6723cd78027","abstract_canon_sha256":"db296af457867604d69272fc416e530e9edd8b9e0c69433507c86600215927d1"},"schema_version":"1.0"},"canonical_sha256":"03872e58652b5922c998ae83fe9dc36b3990d6980e2e3b6cb0897cf9b6c5f993","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:58:10.964668Z","signature_b64":"ohBIQ1S/517jgyJSS85KGSFESQ7RC6QP6PAIwEt+I4L4jTEPOdhedXTJxCbCTqIwWCFr/7C2SprAOsDh0wQSDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"03872e58652b5922c998ae83fe9dc36b3990d6980e2e3b6cb0897cf9b6c5f993","last_reissued_at":"2026-07-05T02:58:10.964300Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:58:10.964300Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.07119","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":"2026-07-05T02:58:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kTK2oVdjyIPEeR/3/lRZjDgkoiiMebG1hD49ERFTJz2zFPlScfVhFU3Y18DCjCkNn3TVJZNxTLaJ9ixYnP71BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T00:25:35.984777Z"},"content_sha256":"8a2a93a05d247aaf68ee881e40706e8f11bf284e7dbb38f76e2718eb2ffbf7c6","schema_version":"1.0","event_id":"sha256:8a2a93a05d247aaf68ee881e40706e8f11bf284e7dbb38f76e2718eb2ffbf7c6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:AODS4WDFFNMSFSMYV2B75HODNM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Hang Li, Jiliang Tang, Rose Luckin, Wenbiao Ding, Yang Hao, Zhongqin Wu, Zitao Liu","submitted_at":"2021-07-15T04:57:57Z","abstract_excerpt":"In this work, we study computational approaches to detect online dialogic instructions, which are widely used to help students understand learning materials, and build effective study habits. This task is rather challenging due to the widely-varying quality and pedagogical styles of dialogic instructions. To address these challenges, we utilize pre-trained language models, and propose a multi-task paradigm which enhances the ability to distinguish instances of different classes by enlarging the margin between categories via contrastive loss. Furthermore, we design a strategy to fully exploit t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.07119","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/2107.07119/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":"2026-07-05T02:58:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QgLOyy96WpRPsDOgSqOmZ9OK0iUkJS9Lfb5cmhelgnODKByF9hTcVJG/r1X/aKoR0mG3CQZzm/C8Y6r1gLjTCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T00:25:35.985153Z"},"content_sha256":"ee73e709ec06be8bc076d77f3d3ea1e77d93c41a62ff51ddea2259993c53ed1f","schema_version":"1.0","event_id":"sha256:ee73e709ec06be8bc076d77f3d3ea1e77d93c41a62ff51ddea2259993c53ed1f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AODS4WDFFNMSFSMYV2B75HODNM/bundle.json","state_url":"https://pith.science/pith/AODS4WDFFNMSFSMYV2B75HODNM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AODS4WDFFNMSFSMYV2B75HODNM/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":"2026-07-09T00:25:35Z","links":{"resolver":"https://pith.science/pith/AODS4WDFFNMSFSMYV2B75HODNM","bundle":"https://pith.science/pith/AODS4WDFFNMSFSMYV2B75HODNM/bundle.json","state":"https://pith.science/pith/AODS4WDFFNMSFSMYV2B75HODNM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AODS4WDFFNMSFSMYV2B75HODNM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:AODS4WDFFNMSFSMYV2B75HODNM","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":"db296af457867604d69272fc416e530e9edd8b9e0c69433507c86600215927d1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-07-15T04:57:57Z","title_canon_sha256":"69b4b3b533eda8e45ad747abde1c83c1b6633c7729e7826a1bc3c6723cd78027"},"schema_version":"1.0","source":{"id":"2107.07119","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.07119","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"arxiv_version","alias_value":"2107.07119v1","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.07119","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"pith_short_12","alias_value":"AODS4WDFFNMS","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"pith_short_16","alias_value":"AODS4WDFFNMSFSMY","created_at":"2026-07-05T02:58:10Z"},{"alias_kind":"pith_short_8","alias_value":"AODS4WDF","created_at":"2026-07-05T02:58:10Z"}],"graph_snapshots":[{"event_id":"sha256:ee73e709ec06be8bc076d77f3d3ea1e77d93c41a62ff51ddea2259993c53ed1f","target":"graph","created_at":"2026-07-05T02:58:10Z","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/2107.07119/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we study computational approaches to detect online dialogic instructions, which are widely used to help students understand learning materials, and build effective study habits. This task is rather challenging due to the widely-varying quality and pedagogical styles of dialogic instructions. To address these challenges, we utilize pre-trained language models, and propose a multi-task paradigm which enhances the ability to distinguish instances of different classes by enlarging the margin between categories via contrastive loss. Furthermore, we design a strategy to fully exploit t","authors_text":"Hang Li, Jiliang Tang, Rose Luckin, Wenbiao Ding, Yang Hao, Zhongqin Wu, Zitao Liu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-07-15T04:57:57Z","title":"Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.07119","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":"sha256:8a2a93a05d247aaf68ee881e40706e8f11bf284e7dbb38f76e2718eb2ffbf7c6","target":"record","created_at":"2026-07-05T02:58:10Z","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":"db296af457867604d69272fc416e530e9edd8b9e0c69433507c86600215927d1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-07-15T04:57:57Z","title_canon_sha256":"69b4b3b533eda8e45ad747abde1c83c1b6633c7729e7826a1bc3c6723cd78027"},"schema_version":"1.0","source":{"id":"2107.07119","kind":"arxiv","version":1}},"canonical_sha256":"03872e58652b5922c998ae83fe9dc36b3990d6980e2e3b6cb0897cf9b6c5f993","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03872e58652b5922c998ae83fe9dc36b3990d6980e2e3b6cb0897cf9b6c5f993","first_computed_at":"2026-07-05T02:58:10.964300Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:58:10.964300Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ohBIQ1S/517jgyJSS85KGSFESQ7RC6QP6PAIwEt+I4L4jTEPOdhedXTJxCbCTqIwWCFr/7C2SprAOsDh0wQSDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:58:10.964668Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.07119","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a2a93a05d247aaf68ee881e40706e8f11bf284e7dbb38f76e2718eb2ffbf7c6","sha256:ee73e709ec06be8bc076d77f3d3ea1e77d93c41a62ff51ddea2259993c53ed1f"],"state_sha256":"d17035c2f67291ea2a00968bb9e64021dcf86150b0f429e2eca730010a6dbb71"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wgSJFR9RllWGOyHi0k7EpCrMrQ6cuvV6SpP9gZn+0egspC/O6tVYPntzMBNB5cFRpWT2RlE5f42MK3hyJRqRBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T00:25:35.987253Z","bundle_sha256":"d1d7d0c951f74227bc99f0c2ece0e014bf73a8f78e2b96ea34705464fd252e8a"}}