{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WMRDAUZOVNLEAVFRQTKWZV26Q5","short_pith_number":"pith:WMRDAUZO","canonical_record":{"source":{"id":"2307.07099","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-14T00:10:03Z","cross_cats_sorted":[],"title_canon_sha256":"5ac3fa7edaeb1e864b55a4c2142b291c2dd1408ad2e9a1c49bbc03c00a44d906","abstract_canon_sha256":"630426126cb0e5f586c44886729cbc75e4eb5ff4f9d544467867f16829f03363"},"schema_version":"1.0"},"canonical_sha256":"b32230532eab564054b184d56cd75e876d7a3219b29e27f4f7a82bd02de32aff","source":{"kind":"arxiv","id":"2307.07099","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.07099","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"arxiv_version","alias_value":"2307.07099v3","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.07099","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"pith_short_12","alias_value":"WMRDAUZOVNLE","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"pith_short_16","alias_value":"WMRDAUZOVNLEAVFR","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"pith_short_8","alias_value":"WMRDAUZO","created_at":"2026-07-05T08:21:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WMRDAUZOVNLEAVFRQTKWZV26Q5","target":"record","payload":{"canonical_record":{"source":{"id":"2307.07099","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-14T00:10:03Z","cross_cats_sorted":[],"title_canon_sha256":"5ac3fa7edaeb1e864b55a4c2142b291c2dd1408ad2e9a1c49bbc03c00a44d906","abstract_canon_sha256":"630426126cb0e5f586c44886729cbc75e4eb5ff4f9d544467867f16829f03363"},"schema_version":"1.0"},"canonical_sha256":"b32230532eab564054b184d56cd75e876d7a3219b29e27f4f7a82bd02de32aff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:21:40.031131Z","signature_b64":"R1fGLvyHZKDo7hdUyfkYhjx2dz0nlcpF0To2g9HCY1XKC7VtA48zBEgjgZMU7UpkGl9NZC1RPDCbnc3+15i6Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b32230532eab564054b184d56cd75e876d7a3219b29e27f4f7a82bd02de32aff","last_reissued_at":"2026-07-05T08:21:40.030556Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:21:40.030556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.07099","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:21:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+5reA0a+lBZqyh4t8BlQu3Qf54yrpeClRsjPEkR49f+VqRx84F9Thj/meB2qEoHAtZSMVvTc8/sUCzmfX3x2DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:54:19.779006Z"},"content_sha256":"044c7a6ca45cc6fe75bbee73d2512f341b4869cb34cf5fead1046052fc272dbe","schema_version":"1.0","event_id":"sha256:044c7a6ca45cc6fe75bbee73d2512f341b4869cb34cf5fead1046052fc272dbe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WMRDAUZOVNLEAVFRQTKWZV26Q5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jingbo Shang, Letian Peng, Yuwei Zhang","submitted_at":"2023-07-14T00:10:03Z","abstract_excerpt":"Prompting large language models (LLMs) for data augmentation has recently become a common practice in few-shot NLP tasks. In this paper, we propose Chain-of-Thought Attribute Manipulation (CoTAM), a novel approach that generates new data from existing examples by only tweaking in the user-provided, task-specific attribute, e.g., sentiment polarity or topic in movie reviews. Instead of conventional latent representation controlling, we leverage the chain-of-thought prompting to directly edit the text in three steps, (1) attribute decomposition, (2) manipulation proposal, and (3) sentence recons"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.07099","kind":"arxiv","version":3},"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/2307.07099/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":"2026-07-05T08:21:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aS/uxffN+wgN7EQK5hRNHX9+GPONsd6HulDLVsHY/6ChvUS1vwUXdbsVJlB2paFOUbUmHtamaTiX+0yiUFL1Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:54:19.780056Z"},"content_sha256":"ae900d1ff905a5c12ae5828c4e32aa4ba4e14d465d1226df5b9bb122fb71f618","schema_version":"1.0","event_id":"sha256:ae900d1ff905a5c12ae5828c4e32aa4ba4e14d465d1226df5b9bb122fb71f618"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WMRDAUZOVNLEAVFRQTKWZV26Q5/bundle.json","state_url":"https://pith.science/pith/WMRDAUZOVNLEAVFRQTKWZV26Q5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WMRDAUZOVNLEAVFRQTKWZV26Q5/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":"2026-08-09T05:54:19Z","links":{"resolver":"https://pith.science/pith/WMRDAUZOVNLEAVFRQTKWZV26Q5","bundle":"https://pith.science/pith/WMRDAUZOVNLEAVFRQTKWZV26Q5/bundle.json","state":"https://pith.science/pith/WMRDAUZOVNLEAVFRQTKWZV26Q5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WMRDAUZOVNLEAVFRQTKWZV26Q5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WMRDAUZOVNLEAVFRQTKWZV26Q5","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":"630426126cb0e5f586c44886729cbc75e4eb5ff4f9d544467867f16829f03363","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-14T00:10:03Z","title_canon_sha256":"5ac3fa7edaeb1e864b55a4c2142b291c2dd1408ad2e9a1c49bbc03c00a44d906"},"schema_version":"1.0","source":{"id":"2307.07099","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.07099","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"arxiv_version","alias_value":"2307.07099v3","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.07099","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"pith_short_12","alias_value":"WMRDAUZOVNLE","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"pith_short_16","alias_value":"WMRDAUZOVNLEAVFR","created_at":"2026-07-05T08:21:40Z"},{"alias_kind":"pith_short_8","alias_value":"WMRDAUZO","created_at":"2026-07-05T08:21:40Z"}],"graph_snapshots":[{"event_id":"sha256:ae900d1ff905a5c12ae5828c4e32aa4ba4e14d465d1226df5b9bb122fb71f618","target":"graph","created_at":"2026-07-05T08:21:40Z","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/2307.07099/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompting large language models (LLMs) for data augmentation has recently become a common practice in few-shot NLP tasks. In this paper, we propose Chain-of-Thought Attribute Manipulation (CoTAM), a novel approach that generates new data from existing examples by only tweaking in the user-provided, task-specific attribute, e.g., sentiment polarity or topic in movie reviews. Instead of conventional latent representation controlling, we leverage the chain-of-thought prompting to directly edit the text in three steps, (1) attribute decomposition, (2) manipulation proposal, and (3) sentence recons","authors_text":"Jingbo Shang, Letian Peng, Yuwei Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-14T00:10:03Z","title":"Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.07099","kind":"arxiv","version":3},"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":"sha256:044c7a6ca45cc6fe75bbee73d2512f341b4869cb34cf5fead1046052fc272dbe","target":"record","created_at":"2026-07-05T08:21:40Z","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":"630426126cb0e5f586c44886729cbc75e4eb5ff4f9d544467867f16829f03363","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-14T00:10:03Z","title_canon_sha256":"5ac3fa7edaeb1e864b55a4c2142b291c2dd1408ad2e9a1c49bbc03c00a44d906"},"schema_version":"1.0","source":{"id":"2307.07099","kind":"arxiv","version":3}},"canonical_sha256":"b32230532eab564054b184d56cd75e876d7a3219b29e27f4f7a82bd02de32aff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b32230532eab564054b184d56cd75e876d7a3219b29e27f4f7a82bd02de32aff","first_computed_at":"2026-07-05T08:21:40.030556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:21:40.030556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R1fGLvyHZKDo7hdUyfkYhjx2dz0nlcpF0To2g9HCY1XKC7VtA48zBEgjgZMU7UpkGl9NZC1RPDCbnc3+15i6Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:21:40.031131Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.07099","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:044c7a6ca45cc6fe75bbee73d2512f341b4869cb34cf5fead1046052fc272dbe","sha256:ae900d1ff905a5c12ae5828c4e32aa4ba4e14d465d1226df5b9bb122fb71f618"],"state_sha256":"7e143ab5cf4787432866bb5996fa6cdfff90d85131cca4662330946c64808260"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TZCKdnbnDbbAJN5/h0BMFUh+duslPwbMbkiV+jLdW3xcYjvmBhYTlXnofWDH8iEujoeVEQAFl5bLrR8seL/HBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:54:19.787194Z","bundle_sha256":"b45475271b47e320bbd43396c83e928988e8df647838c36e8e3d4e83862a62e9"}}