{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:2PIEPG6RBFKKNKJF7DUKRYWILJ","short_pith_number":"pith:2PIEPG6R","canonical_record":{"source":{"id":"2208.01312","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T08:38:47Z","cross_cats_sorted":[],"title_canon_sha256":"aa2e4b9bbcdc3ad6726ec2e7eb7c9c6c78d81212a2d9edc4e3680130790a1ff5","abstract_canon_sha256":"ece567701a7ba5f2ae18e4e8b49d4005631e00becc15b9015987826ead4fd6c5"},"schema_version":"1.0"},"canonical_sha256":"d3d0479bd10954a6a925f8e8a8e2c85a4a87bb68e8caa98cf17a10e39b3a8676","source":{"kind":"arxiv","id":"2208.01312","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.01312","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"arxiv_version","alias_value":"2208.01312v1","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.01312","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"pith_short_12","alias_value":"2PIEPG6RBFKK","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"pith_short_16","alias_value":"2PIEPG6RBFKKNKJF","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"pith_short_8","alias_value":"2PIEPG6R","created_at":"2026-07-05T04:45:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:2PIEPG6RBFKKNKJF7DUKRYWILJ","target":"record","payload":{"canonical_record":{"source":{"id":"2208.01312","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T08:38:47Z","cross_cats_sorted":[],"title_canon_sha256":"aa2e4b9bbcdc3ad6726ec2e7eb7c9c6c78d81212a2d9edc4e3680130790a1ff5","abstract_canon_sha256":"ece567701a7ba5f2ae18e4e8b49d4005631e00becc15b9015987826ead4fd6c5"},"schema_version":"1.0"},"canonical_sha256":"d3d0479bd10954a6a925f8e8a8e2c85a4a87bb68e8caa98cf17a10e39b3a8676","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:45:32.139019Z","signature_b64":"k0HRrFc2lw+cZb3BvB+F1cJtHapfj0PI8gsxwICcn58TUmBHhjkcXFBXKasJkpy+JoMZAlzDtt/i9fxbae1PBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3d0479bd10954a6a925f8e8a8e2c85a4a87bb68e8caa98cf17a10e39b3a8676","last_reissued_at":"2026-07-05T04:45:32.138447Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:45:32.138447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.01312","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":"2026-07-05T04:45:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uCea2h7iTR++vc73enH7l8aan+T7H/ktsi0EMl4YtH5dL7/DDpOAWqfzfT62ugwkPP/y3oesbUHRMZ8RWJXGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T13:48:19.101297Z"},"content_sha256":"bf1052b913b459fa54f18f4cc94f5ad21ddf20a5e80fa068e3ad68d66273b61e","schema_version":"1.0","event_id":"sha256:bf1052b913b459fa54f18f4cc94f5ad21ddf20a5e80fa068e3ad68d66273b61e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:2PIEPG6RBFKKNKJF7DUKRYWILJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Baochang Ma, Chenxiao Dou, Deqiang Miao, Liangyu Chen, Xiangang Li, Xianghui Sun, Yong Deng","submitted_at":"2022-08-02T08:38:47Z","abstract_excerpt":"PCL detection task is aimed at identifying and categorizing language that is patronizing or condescending towards vulnerable communities in the general media.Compared to other NLP tasks of paragraph classification, the negative language presented in the PCL detection task is usually more implicit and subtle to be recognized, making the performance of common text-classification approaches disappointed. Targeting the PCL detection problem in SemEval-2022 Task 4, in this paper, we give an introduction to our team's solution, which exploits the power of prompt-based learning on paragraph classific"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.01312","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/2208.01312/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":"2026-07-05T04:45:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"27O9p9+xTroX1B4ruHjsVJDq9g8OamOg8JNeXEhmfi8INioaJ2I0ktZ8kFww4RXxuLF/BQVOFR6XWSgLfJ+sBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T13:48:19.101688Z"},"content_sha256":"158237d1c53d5022548fadd4511f63f603e8ad99c5a2e4aeaa5dda6b8c401802","schema_version":"1.0","event_id":"sha256:158237d1c53d5022548fadd4511f63f603e8ad99c5a2e4aeaa5dda6b8c401802"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2PIEPG6RBFKKNKJF7DUKRYWILJ/bundle.json","state_url":"https://pith.science/pith/2PIEPG6RBFKKNKJF7DUKRYWILJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2PIEPG6RBFKKNKJF7DUKRYWILJ/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":"2026-07-06T13:48:19Z","links":{"resolver":"https://pith.science/pith/2PIEPG6RBFKKNKJF7DUKRYWILJ","bundle":"https://pith.science/pith/2PIEPG6RBFKKNKJF7DUKRYWILJ/bundle.json","state":"https://pith.science/pith/2PIEPG6RBFKKNKJF7DUKRYWILJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2PIEPG6RBFKKNKJF7DUKRYWILJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2PIEPG6RBFKKNKJF7DUKRYWILJ","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":"ece567701a7ba5f2ae18e4e8b49d4005631e00becc15b9015987826ead4fd6c5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T08:38:47Z","title_canon_sha256":"aa2e4b9bbcdc3ad6726ec2e7eb7c9c6c78d81212a2d9edc4e3680130790a1ff5"},"schema_version":"1.0","source":{"id":"2208.01312","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.01312","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"arxiv_version","alias_value":"2208.01312v1","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.01312","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"pith_short_12","alias_value":"2PIEPG6RBFKK","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"pith_short_16","alias_value":"2PIEPG6RBFKKNKJF","created_at":"2026-07-05T04:45:32Z"},{"alias_kind":"pith_short_8","alias_value":"2PIEPG6R","created_at":"2026-07-05T04:45:32Z"}],"graph_snapshots":[{"event_id":"sha256:158237d1c53d5022548fadd4511f63f603e8ad99c5a2e4aeaa5dda6b8c401802","target":"graph","created_at":"2026-07-05T04:45:32Z","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/2208.01312/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"PCL detection task is aimed at identifying and categorizing language that is patronizing or condescending towards vulnerable communities in the general media.Compared to other NLP tasks of paragraph classification, the negative language presented in the PCL detection task is usually more implicit and subtle to be recognized, making the performance of common text-classification approaches disappointed. Targeting the PCL detection problem in SemEval-2022 Task 4, in this paper, we give an introduction to our team's solution, which exploits the power of prompt-based learning on paragraph classific","authors_text":"Baochang Ma, Chenxiao Dou, Deqiang Miao, Liangyu Chen, Xiangang Li, Xianghui Sun, Yong Deng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T08:38:47Z","title":"BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.01312","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:bf1052b913b459fa54f18f4cc94f5ad21ddf20a5e80fa068e3ad68d66273b61e","target":"record","created_at":"2026-07-05T04:45:32Z","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":"ece567701a7ba5f2ae18e4e8b49d4005631e00becc15b9015987826ead4fd6c5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-08-02T08:38:47Z","title_canon_sha256":"aa2e4b9bbcdc3ad6726ec2e7eb7c9c6c78d81212a2d9edc4e3680130790a1ff5"},"schema_version":"1.0","source":{"id":"2208.01312","kind":"arxiv","version":1}},"canonical_sha256":"d3d0479bd10954a6a925f8e8a8e2c85a4a87bb68e8caa98cf17a10e39b3a8676","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3d0479bd10954a6a925f8e8a8e2c85a4a87bb68e8caa98cf17a10e39b3a8676","first_computed_at":"2026-07-05T04:45:32.138447Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:45:32.138447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k0HRrFc2lw+cZb3BvB+F1cJtHapfj0PI8gsxwICcn58TUmBHhjkcXFBXKasJkpy+JoMZAlzDtt/i9fxbae1PBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:45:32.139019Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.01312","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf1052b913b459fa54f18f4cc94f5ad21ddf20a5e80fa068e3ad68d66273b61e","sha256:158237d1c53d5022548fadd4511f63f603e8ad99c5a2e4aeaa5dda6b8c401802"],"state_sha256":"bb6bb0a3431788add097ab1682004ccd988cc2d32fe04dbb8f6d09e646ca5d2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P3Dn9cjvr7zVwxDwfjGWLnegcT81sba1xGjoxx7QXeYu2/XfT73RFO/RrYyeQftvIctoMnnXnh+rnRPS7GxZAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T13:48:19.103628Z","bundle_sha256":"11f7f10273bd43b5854e087f4efd17b1009569db3d7ec3efa71eca4cdca68103"}}