{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UKQDMDDQIPH2QIGEYOXDIN26EN","short_pith_number":"pith:UKQDMDDQ","canonical_record":{"source":{"id":"2506.06686","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-07T06:52:58Z","cross_cats_sorted":[],"title_canon_sha256":"1b9afd2b0993c342353c7ca38e49cecc4ffe2bb05bc72367bbeaf22647e55b53","abstract_canon_sha256":"209b0871c5f8768f65e7e0a394fc9d0ef6ecdb11ef95e7a236115e9d50b18a7a"},"schema_version":"1.0"},"canonical_sha256":"a2a0360c7043cfa820c4c3ae34375e235e85b35dd1508bca99aa977c1f80a024","source":{"kind":"arxiv","id":"2506.06686","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06686","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06686v1","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06686","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"pith_short_12","alias_value":"UKQDMDDQIPH2","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"pith_short_16","alias_value":"UKQDMDDQIPH2QIGE","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"pith_short_8","alias_value":"UKQDMDDQ","created_at":"2026-07-05T11:17:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UKQDMDDQIPH2QIGEYOXDIN26EN","target":"record","payload":{"canonical_record":{"source":{"id":"2506.06686","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-07T06:52:58Z","cross_cats_sorted":[],"title_canon_sha256":"1b9afd2b0993c342353c7ca38e49cecc4ffe2bb05bc72367bbeaf22647e55b53","abstract_canon_sha256":"209b0871c5f8768f65e7e0a394fc9d0ef6ecdb11ef95e7a236115e9d50b18a7a"},"schema_version":"1.0"},"canonical_sha256":"a2a0360c7043cfa820c4c3ae34375e235e85b35dd1508bca99aa977c1f80a024","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:53.983393Z","signature_b64":"QpZPKVZS4p6MCLCpzdulNSvwC9hKDb6MHicPCEAV1irgkQV8CSvjW8dC9fprxRdQd36ERdExxWUp58y0+tG9Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2a0360c7043cfa820c4c3ae34375e235e85b35dd1508bca99aa977c1f80a024","last_reissued_at":"2026-07-05T11:17:53.982910Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:53.982910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.06686","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c58ASEHNc0JCWCDIgVkI+Z3kS/fa8wy10x6HeNpZqW06seHe3idGsmKH8MZXWAu9bwLzK05hL2HAJrhFmfGiCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:25:26.663599Z"},"content_sha256":"591d7af212787b9d61be5cbfc47f6dc995ca5378d666c4241bdc5af717bcd51e","schema_version":"1.0","event_id":"sha256:591d7af212787b9d61be5cbfc47f6dc995ca5378d666c4241bdc5af717bcd51e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UKQDMDDQIPH2QIGEYOXDIN26EN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Distribution-Wise Control in Representation Space for Language Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chunyuan Deng, Hanjie Chen, Ruidi Chang","submitted_at":"2025-06-07T06:52:58Z","abstract_excerpt":"Interventions in language models (LMs) are applied strategically to steer model behavior during the forward pass. Learnable interventions, also known as representation fine-tuning, aim to apply pointwise control within the concept subspace and have proven effective in altering high-level behaviors. In this work, we extend this approach to the distribution level, enabling the model to learn not only pointwise transformations but also the surrounding regions of the concept subspace. We demonstrate that these methods perform effectively in early layers, with larger standard deviations correlating"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06686","kind":"arxiv","version":1},"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/2506.06686/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":"2026-07-05T11:17:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"biDQXzRGmT/BSQH6tTj72w3dn8CqGS+J8q6fCjmh0gDozaNz8xzjsoLN/2pzs89JCbOOtDIVUCzaioGdPq3dDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:25:26.664670Z"},"content_sha256":"bc57396237690b2bfd0ff5e04bda64c1d7ddd354ddc7aebfd5a5673fa6248b43","schema_version":"1.0","event_id":"sha256:bc57396237690b2bfd0ff5e04bda64c1d7ddd354ddc7aebfd5a5673fa6248b43"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UKQDMDDQIPH2QIGEYOXDIN26EN/bundle.json","state_url":"https://pith.science/pith/UKQDMDDQIPH2QIGEYOXDIN26EN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UKQDMDDQIPH2QIGEYOXDIN26EN/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":"2026-08-07T21:25:26Z","links":{"resolver":"https://pith.science/pith/UKQDMDDQIPH2QIGEYOXDIN26EN","bundle":"https://pith.science/pith/UKQDMDDQIPH2QIGEYOXDIN26EN/bundle.json","state":"https://pith.science/pith/UKQDMDDQIPH2QIGEYOXDIN26EN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UKQDMDDQIPH2QIGEYOXDIN26EN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UKQDMDDQIPH2QIGEYOXDIN26EN","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":"209b0871c5f8768f65e7e0a394fc9d0ef6ecdb11ef95e7a236115e9d50b18a7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-07T06:52:58Z","title_canon_sha256":"1b9afd2b0993c342353c7ca38e49cecc4ffe2bb05bc72367bbeaf22647e55b53"},"schema_version":"1.0","source":{"id":"2506.06686","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06686","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06686v1","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06686","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"pith_short_12","alias_value":"UKQDMDDQIPH2","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"pith_short_16","alias_value":"UKQDMDDQIPH2QIGE","created_at":"2026-07-05T11:17:53Z"},{"alias_kind":"pith_short_8","alias_value":"UKQDMDDQ","created_at":"2026-07-05T11:17:53Z"}],"graph_snapshots":[{"event_id":"sha256:bc57396237690b2bfd0ff5e04bda64c1d7ddd354ddc7aebfd5a5673fa6248b43","target":"graph","created_at":"2026-07-05T11:17:53Z","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/2506.06686/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interventions in language models (LMs) are applied strategically to steer model behavior during the forward pass. Learnable interventions, also known as representation fine-tuning, aim to apply pointwise control within the concept subspace and have proven effective in altering high-level behaviors. In this work, we extend this approach to the distribution level, enabling the model to learn not only pointwise transformations but also the surrounding regions of the concept subspace. We demonstrate that these methods perform effectively in early layers, with larger standard deviations correlating","authors_text":"Chunyuan Deng, Hanjie Chen, Ruidi Chang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-07T06:52:58Z","title":"Learning Distribution-Wise Control in Representation Space for Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06686","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":"sha256:591d7af212787b9d61be5cbfc47f6dc995ca5378d666c4241bdc5af717bcd51e","target":"record","created_at":"2026-07-05T11:17:53Z","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":"209b0871c5f8768f65e7e0a394fc9d0ef6ecdb11ef95e7a236115e9d50b18a7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-07T06:52:58Z","title_canon_sha256":"1b9afd2b0993c342353c7ca38e49cecc4ffe2bb05bc72367bbeaf22647e55b53"},"schema_version":"1.0","source":{"id":"2506.06686","kind":"arxiv","version":1}},"canonical_sha256":"a2a0360c7043cfa820c4c3ae34375e235e85b35dd1508bca99aa977c1f80a024","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2a0360c7043cfa820c4c3ae34375e235e85b35dd1508bca99aa977c1f80a024","first_computed_at":"2026-07-05T11:17:53.982910Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:53.982910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QpZPKVZS4p6MCLCpzdulNSvwC9hKDb6MHicPCEAV1irgkQV8CSvjW8dC9fprxRdQd36ERdExxWUp58y0+tG9Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:53.983393Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.06686","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:591d7af212787b9d61be5cbfc47f6dc995ca5378d666c4241bdc5af717bcd51e","sha256:bc57396237690b2bfd0ff5e04bda64c1d7ddd354ddc7aebfd5a5673fa6248b43"],"state_sha256":"18b03023d43c7c465a92ab06efd3c84febe0cf401eda6f982feb68cfe72af69c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hYzvSH1YZqKxF9qkNJodbsFy7x9Uu79JAzZN8IiIFlCnnM2uMOVRLsb9Ywgr9CLOQkP0SsGrdI70SyOEOuEsCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:25:26.670512Z","bundle_sha256":"e3bf2c30b5ce2b2b33c1aebf5911dd6ef3687f3f833cc48009b674a7143b3381"}}