{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CHE4U3NGLUBOKVAEGBSEGG2OKS","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":"a9a8e1b55082660c94bd6f5cb31d6b7da174f30d463ee92d47d10957db9ba906","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-19T17:58:26Z","title_canon_sha256":"2ecd90768c12e9eb00ab9d7a5fb42626d3fa41d93752d2ccfeb397a9569dc214"},"schema_version":"1.0","source":{"id":"2405.11637","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11637","created_at":"2026-07-05T08:20:42Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11637v1","created_at":"2026-07-05T08:20:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11637","created_at":"2026-07-05T08:20:42Z"},{"alias_kind":"pith_short_12","alias_value":"CHE4U3NGLUBO","created_at":"2026-07-05T08:20:42Z"},{"alias_kind":"pith_short_16","alias_value":"CHE4U3NGLUBOKVAE","created_at":"2026-07-05T08:20:42Z"},{"alias_kind":"pith_short_8","alias_value":"CHE4U3NG","created_at":"2026-07-05T08:20:42Z"}],"graph_snapshots":[{"event_id":"sha256:01038954a6ac66d76d9f8dd97841fb11309c0e8a3cd14b8129323de35300510b","target":"graph","created_at":"2026-07-05T08:20:42Z","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/2405.11637/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stance detection, the classification of attitudes expressed in a text towards a specific topic, is vital for applications like fake news detection and opinion mining. However, the scarcity of labeled data remains a challenge for this task. To address this problem, we propose Dynamic Model Adaptation with Contextual Data Generation (DyMoAdapt) that combines Few-Shot Learning and Large Language Models. In this approach, we aim to fine-tune an existing model at test time. We achieve this by generating new topic-specific data using GPT-3. This method could enhance performance by allowing the adapt","authors_text":"Babak Behkamkia, Ghazaleh Mahmoudi, Sauleh Eetemadi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-19T17:58:26Z","title":"Zero-Shot Stance Detection using Contextual Data Generation with LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11637","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:f4f54a0e242219c6b44c899f9e6229920944db59109aceb7c1e5c855c0284b62","target":"record","created_at":"2026-07-05T08:20:42Z","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":"a9a8e1b55082660c94bd6f5cb31d6b7da174f30d463ee92d47d10957db9ba906","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-19T17:58:26Z","title_canon_sha256":"2ecd90768c12e9eb00ab9d7a5fb42626d3fa41d93752d2ccfeb397a9569dc214"},"schema_version":"1.0","source":{"id":"2405.11637","kind":"arxiv","version":1}},"canonical_sha256":"11c9ca6da65d02e554043064431b4e54805102f9455957e2c4ab206715c9225b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11c9ca6da65d02e554043064431b4e54805102f9455957e2c4ab206715c9225b","first_computed_at":"2026-07-05T08:20:42.455893Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:42.455893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Dj7qi0tm/LNmo8L9nOM8acUZgARlcZiWcjPXGU3lfJRlM/2wenuIw/eJEETBtTFR7Ej3Z0JPaYwD33nPvTCjAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:42.456387Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.11637","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4f54a0e242219c6b44c899f9e6229920944db59109aceb7c1e5c855c0284b62","sha256:01038954a6ac66d76d9f8dd97841fb11309c0e8a3cd14b8129323de35300510b"],"state_sha256":"e67d7337cab7c2e619eaf752ff9166857208eeaaa89ccb1fd692137df0f27618"}