{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OWGOQSH77R6F6P3T7HN4QDSFMI","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":"7d4f285a312952ddbc7eb1177b9b39f6d9a66b2cff3756786cc34f3b4b542b58","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T08:37:19Z","title_canon_sha256":"cc2375adbb28dac6b99b71d4cdd041a0f8a630ba0b938f29caebfddfccdb3434"},"schema_version":"1.0","source":{"id":"2506.08060","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08060","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08060v1","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08060","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"pith_short_12","alias_value":"OWGOQSH77R6F","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"pith_short_16","alias_value":"OWGOQSH77R6F6P3T","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"pith_short_8","alias_value":"OWGOQSH7","created_at":"2026-07-05T11:18:44Z"}],"graph_snapshots":[{"event_id":"sha256:5f1783d2ff34fbed838a42ad1ee7dc3030d071708ebd29e84b29ca8483948d91","target":"graph","created_at":"2026-07-05T11:18:44Z","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/2506.08060/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models have transformed natural language processing, yet supervised fine-tuning (SFT) remains computationally intensive. This paper formally proves that capabilities acquired through SFT can be approximated by a base transformer model using inference-time techniques, specifically in-context learning (ICL), without altering model parameters, under idealized assumptions including unbounded computational resources and access to the fine-tuning dataset. We extend these results to practical scenarios with finite context lengths and partial dataset access. For text generation tasks wi","authors_text":"Asankhaya Sharma","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T08:37:19Z","title":"Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08060","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":"sha256:9e03977df44770d74d374c0c78d74c4582a07564998e3d4a88200360e58fe6f9","target":"record","created_at":"2026-07-05T11:18:44Z","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":"7d4f285a312952ddbc7eb1177b9b39f6d9a66b2cff3756786cc34f3b4b542b58","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T08:37:19Z","title_canon_sha256":"cc2375adbb28dac6b99b71d4cdd041a0f8a630ba0b938f29caebfddfccdb3434"},"schema_version":"1.0","source":{"id":"2506.08060","kind":"arxiv","version":1}},"canonical_sha256":"758ce848fffc7c5f3f73f9dbc80e45623252cac0cadb2fb5d7c404bf3dd43464","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"758ce848fffc7c5f3f73f9dbc80e45623252cac0cadb2fb5d7c404bf3dd43464","first_computed_at":"2026-07-05T11:18:44.262854Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:44.262854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3PVcWk57hDOFMmyK5gL/L9uHnU5oaX5PSUkpnSkEl1QNMCVcgZpl21GmHI6/7nkswL+0jfVjXBAZwZAklPHEBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:44.263242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.08060","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e03977df44770d74d374c0c78d74c4582a07564998e3d4a88200360e58fe6f9","sha256:5f1783d2ff34fbed838a42ad1ee7dc3030d071708ebd29e84b29ca8483948d91"],"state_sha256":"ff414d84146a39035457dbe75b2ff46b43fe17a1ec8826f3ee36750523f1871a"}