{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QWOSZJWJYIULYI2GFZH22N3DHQ","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":"4e6773e1535eb7168e7c0bd555abaa87ae998add3833801beb5c1f7d8f991eea","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-09T01:19:21Z","title_canon_sha256":"fe1ce6fd2dd86f77d04242cea204d6f53b902f1db6c48d8c79f5f9b512468982"},"schema_version":"1.0","source":{"id":"2501.06252","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.06252","created_at":"2026-07-05T10:04:41Z"},{"alias_kind":"arxiv_version","alias_value":"2501.06252v3","created_at":"2026-07-05T10:04:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.06252","created_at":"2026-07-05T10:04:41Z"},{"alias_kind":"pith_short_12","alias_value":"QWOSZJWJYIUL","created_at":"2026-07-05T10:04:41Z"},{"alias_kind":"pith_short_16","alias_value":"QWOSZJWJYIULYI2G","created_at":"2026-07-05T10:04:41Z"},{"alias_kind":"pith_short_8","alias_value":"QWOSZJWJ","created_at":"2026-07-05T10:04:41Z"}],"graph_snapshots":[{"event_id":"sha256:09a877c8f27640da5ff3db935f68c134c8fba8ceec167520fe6ae0edde1b7646","target":"graph","created_at":"2026-07-05T10:04:41Z","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/2501.06252/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-adaptive large language models (LLMs) aim to solve the challenges posed by traditional fine-tuning methods, which are often computationally intensive and static in their ability to handle diverse tasks. We introduce Transformer-Squared, a novel self-adaptation framework that adapts LLMs for unseen tasks in real-time by selectively adjusting only the singular components of their weight matrices. During inference, Transformer-Squared employs a two-pass mechanism: first, a dispatch system identifies the task properties, and then task-specific 'expert' vectors, trained using reinforcement lea","authors_text":"Edoardo Cetin, Qi Sun, Yujin Tang","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-09T01:19:21Z","title":"Transformer-Squared: Self-adaptive LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.06252","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:d3f79845a7a5b4ffef6793ee32693f7af9d3c105c6b5e697fef663f140e42ccf","target":"record","created_at":"2026-07-05T10:04:41Z","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":"4e6773e1535eb7168e7c0bd555abaa87ae998add3833801beb5c1f7d8f991eea","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-09T01:19:21Z","title_canon_sha256":"fe1ce6fd2dd86f77d04242cea204d6f53b902f1db6c48d8c79f5f9b512468982"},"schema_version":"1.0","source":{"id":"2501.06252","kind":"arxiv","version":3}},"canonical_sha256":"859d2ca6c9c228bc23462e4fad37633c3f99263b7f5fe5a3bfe8780fa4f2da61","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"859d2ca6c9c228bc23462e4fad37633c3f99263b7f5fe5a3bfe8780fa4f2da61","first_computed_at":"2026-07-05T10:04:41.537714Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:04:41.537714Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ByoY3w7s7ZXCL0L/wbCbIqfS/Sz5j0ksZ/jSDw+6V8rQmaxehRFhfvnOJZQfp9xZMjHIaTDs39Pz2NOqe0l6DA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:04:41.538165Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.06252","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d3f79845a7a5b4ffef6793ee32693f7af9d3c105c6b5e697fef663f140e42ccf","sha256:09a877c8f27640da5ff3db935f68c134c8fba8ceec167520fe6ae0edde1b7646"],"state_sha256":"28c8e5056818e147bf160f7825339d7a242eac210c36485deea07c9e595d6aa2"}