{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QX33ZTSYEYNAFHFRYOLF3BCFEL","short_pith_number":"pith:QX33ZTSY","schema_version":"1.0","canonical_sha256":"85f7bcce58261a029cb1c3965d844522ca17df395069d439607e5287e455f461","source":{"kind":"arxiv","id":"2603.02237","version":2},"attestation_state":"computed","paper":{"title":"Concept Heterogeneity-aware Representation Steering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Khoi N. M. Nguyen, Laziz U. Abdullaev, Noelle Y. L. Wong, Ryan T. Z. Lee, Shiqi Jiang, Tan M. Nguyen","submitted_at":"2026-02-13T11:07:23Z","abstract_excerpt":"Representation steering offers a lightweight mechanism for controlling the behavior of large language models (LLMs) by intervening on internal activations at inference time. Most existing methods rely on a single global steering direction, typically obtained via difference-in-means over contrastive datasets. This approach implicitly assumes that the target concept is homogeneously represented across the embedding space. In practice, however, LLM representations can be highly non-homogeneous, exhibiting clustered, context-dependent structure, which renders global steering directions brittle. In"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2603.02237","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-13T11:07:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"95336e5b1f021fcae4e54e5535c0ce884df346e4a8e61e60a2dc8c01c15e8243","abstract_canon_sha256":"f6ccd593df13ff93022f109285253fd986089a58fdb1c892a44f07b00621d243"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:03:44.459748Z","signature_b64":"CHJub22Qy7bSCpIJqHdkicSCWw+vKGJZQM3RmO17tN5XN+mHPhI9limvKw7zvJYMNfdSwxin3jh44nt+EZawAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85f7bcce58261a029cb1c3965d844522ca17df395069d439607e5287e455f461","last_reissued_at":"2026-06-02T01:03:44.459224Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:03:44.459224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Concept Heterogeneity-aware Representation Steering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Khoi N. M. Nguyen, Laziz U. Abdullaev, Noelle Y. L. Wong, Ryan T. Z. Lee, Shiqi Jiang, Tan M. Nguyen","submitted_at":"2026-02-13T11:07:23Z","abstract_excerpt":"Representation steering offers a lightweight mechanism for controlling the behavior of large language models (LLMs) by intervening on internal activations at inference time. Most existing methods rely on a single global steering direction, typically obtained via difference-in-means over contrastive datasets. This approach implicitly assumes that the target concept is homogeneously represented across the embedding space. In practice, however, LLM representations can be highly non-homogeneous, exhibiting clustered, context-dependent structure, which renders global steering directions brittle. In"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.02237","kind":"arxiv","version":2},"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/2603.02237/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2603.02237","created_at":"2026-06-02T01:03:44.459281+00:00"},{"alias_kind":"arxiv_version","alias_value":"2603.02237v2","created_at":"2026-06-02T01:03:44.459281+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.02237","created_at":"2026-06-02T01:03:44.459281+00:00"},{"alias_kind":"pith_short_12","alias_value":"QX33ZTSYEYNA","created_at":"2026-06-02T01:03:44.459281+00:00"},{"alias_kind":"pith_short_16","alias_value":"QX33ZTSYEYNAFHFR","created_at":"2026-06-02T01:03:44.459281+00:00"},{"alias_kind":"pith_short_8","alias_value":"QX33ZTSY","created_at":"2026-06-02T01:03:44.459281+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QX33ZTSYEYNAFHFRYOLF3BCFEL","json":"https://pith.science/pith/QX33ZTSYEYNAFHFRYOLF3BCFEL.json","graph_json":"https://pith.science/api/pith-number/QX33ZTSYEYNAFHFRYOLF3BCFEL/graph.json","events_json":"https://pith.science/api/pith-number/QX33ZTSYEYNAFHFRYOLF3BCFEL/events.json","paper":"https://pith.science/paper/QX33ZTSY"},"agent_actions":{"view_html":"https://pith.science/pith/QX33ZTSYEYNAFHFRYOLF3BCFEL","download_json":"https://pith.science/pith/QX33ZTSYEYNAFHFRYOLF3BCFEL.json","view_paper":"https://pith.science/paper/QX33ZTSY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2603.02237&json=true","fetch_graph":"https://pith.science/api/pith-number/QX33ZTSYEYNAFHFRYOLF3BCFEL/graph.json","fetch_events":"https://pith.science/api/pith-number/QX33ZTSYEYNAFHFRYOLF3BCFEL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QX33ZTSYEYNAFHFRYOLF3BCFEL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QX33ZTSYEYNAFHFRYOLF3BCFEL/action/storage_attestation","attest_author":"https://pith.science/pith/QX33ZTSYEYNAFHFRYOLF3BCFEL/action/author_attestation","sign_citation":"https://pith.science/pith/QX33ZTSYEYNAFHFRYOLF3BCFEL/action/citation_signature","submit_replication":"https://pith.science/pith/QX33ZTSYEYNAFHFRYOLF3BCFEL/action/replication_record"}},"created_at":"2026-06-02T01:03:44.459281+00:00","updated_at":"2026-06-02T01:03:44.459281+00:00"}