{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HOT3FGBNOXERT3FMHUCAVBECEY","short_pith_number":"pith:HOT3FGBN","canonical_record":{"source":{"id":"2502.11244","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-16T19:44:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b78b8308835d0921483ea3c0ceaee7d2e6b1aa70667361e8b3840d5ddae3fcba","abstract_canon_sha256":"d92a0b2cd85ec3cb0f0c7380f93dfe4b3414395fad47116743cec116bf542f24"},"schema_version":"1.0"},"canonical_sha256":"3ba7b2982d75c919ecac3d040a8482260e82705446f0ee94efb2c16eb63d597b","source":{"kind":"arxiv","id":"2502.11244","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11244","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11244v2","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11244","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"pith_short_12","alias_value":"HOT3FGBNOXER","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"pith_short_16","alias_value":"HOT3FGBNOXERT3FM","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"pith_short_8","alias_value":"HOT3FGBN","created_at":"2026-07-05T11:57:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HOT3FGBNOXERT3FMHUCAVBECEY","target":"record","payload":{"canonical_record":{"source":{"id":"2502.11244","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-16T19:44:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b78b8308835d0921483ea3c0ceaee7d2e6b1aa70667361e8b3840d5ddae3fcba","abstract_canon_sha256":"d92a0b2cd85ec3cb0f0c7380f93dfe4b3414395fad47116743cec116bf542f24"},"schema_version":"1.0"},"canonical_sha256":"3ba7b2982d75c919ecac3d040a8482260e82705446f0ee94efb2c16eb63d597b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:34.619920Z","signature_b64":"x2Jt9H+Kut+GpjLcqF4K116P2CEWHLqwN9mFyHO0FkStuF4YWAfUI/bECJ42ce3epu2TlbtBQNZ+J2KKQ8iKDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ba7b2982d75c919ecac3d040a8482260e82705446f0ee94efb2c16eb63d597b","last_reissued_at":"2026-07-05T11:57:34.619452Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:34.619452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.11244","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:57:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n1VVjrYDU453FGOBRTIsQBr3AFhBP8uW11BQkA81ZVLPAzEDojGX5itYAccY4+me9nCdlAf3n8DwrbxiPqRkDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:27:55.804782Z"},"content_sha256":"28ec5b0a208924aa080a71ddf747ddba94ac67e1e054afbf3e249304f419df91","schema_version":"1.0","event_id":"sha256:28ec5b0a208924aa080a71ddf747ddba94ac67e1e054afbf3e249304f419df91"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HOT3FGBNOXERT3FMHUCAVBECEY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Animesh Mukherjee, Pratyush Chatterjee, Rima Hazra, Sayan Layek, Somnath Banerjee","submitted_at":"2025-02-16T19:44:01Z","abstract_excerpt":"Ensuring consistent safety across multiple languages remains a significant challenge for large language models (LLMs). We introduce Soteria, a lightweight yet powerful strategy that locates and minimally adjusts the \"functional heads\" most responsible for harmful content generation in each language. By altering only a fraction of parameters, Soteria drastically reduces policy violations without sacrificing overall model performance, even in low-resource settings. To rigorously evaluate our approach, we also present XThreatBench, a specialized multilingual dataset capturing fine-grained harmful"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11244","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/2502.11244/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":"2026-07-05T11:57:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MYxJzBa/jrI7qX8WmrZLijw6mRJAQBlwueJbwQk5DxpAFiD1aQNVlDtKl5e258sgXB5jiz1sSKuJrHg6bucTCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:27:55.805162Z"},"content_sha256":"03dc8ccd271da9bcbdea81c1a8dac6def085e361933af952c59e1c1a8bfffc23","schema_version":"1.0","event_id":"sha256:03dc8ccd271da9bcbdea81c1a8dac6def085e361933af952c59e1c1a8bfffc23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HOT3FGBNOXERT3FMHUCAVBECEY/bundle.json","state_url":"https://pith.science/pith/HOT3FGBNOXERT3FMHUCAVBECEY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HOT3FGBNOXERT3FMHUCAVBECEY/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":"2026-07-06T23:27:55Z","links":{"resolver":"https://pith.science/pith/HOT3FGBNOXERT3FMHUCAVBECEY","bundle":"https://pith.science/pith/HOT3FGBNOXERT3FMHUCAVBECEY/bundle.json","state":"https://pith.science/pith/HOT3FGBNOXERT3FMHUCAVBECEY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HOT3FGBNOXERT3FMHUCAVBECEY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HOT3FGBNOXERT3FMHUCAVBECEY","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":"d92a0b2cd85ec3cb0f0c7380f93dfe4b3414395fad47116743cec116bf542f24","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-16T19:44:01Z","title_canon_sha256":"b78b8308835d0921483ea3c0ceaee7d2e6b1aa70667361e8b3840d5ddae3fcba"},"schema_version":"1.0","source":{"id":"2502.11244","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11244","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11244v2","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11244","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"pith_short_12","alias_value":"HOT3FGBNOXER","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"pith_short_16","alias_value":"HOT3FGBNOXERT3FM","created_at":"2026-07-05T11:57:34Z"},{"alias_kind":"pith_short_8","alias_value":"HOT3FGBN","created_at":"2026-07-05T11:57:34Z"}],"graph_snapshots":[{"event_id":"sha256:03dc8ccd271da9bcbdea81c1a8dac6def085e361933af952c59e1c1a8bfffc23","target":"graph","created_at":"2026-07-05T11:57:34Z","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/2502.11244/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ensuring consistent safety across multiple languages remains a significant challenge for large language models (LLMs). We introduce Soteria, a lightweight yet powerful strategy that locates and minimally adjusts the \"functional heads\" most responsible for harmful content generation in each language. By altering only a fraction of parameters, Soteria drastically reduces policy violations without sacrificing overall model performance, even in low-resource settings. To rigorously evaluate our approach, we also present XThreatBench, a specialized multilingual dataset capturing fine-grained harmful","authors_text":"Animesh Mukherjee, Pratyush Chatterjee, Rima Hazra, Sayan Layek, Somnath Banerjee","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-16T19:44:01Z","title":"Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11244","kind":"arxiv","version":2},"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":"sha256:28ec5b0a208924aa080a71ddf747ddba94ac67e1e054afbf3e249304f419df91","target":"record","created_at":"2026-07-05T11:57:34Z","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":"d92a0b2cd85ec3cb0f0c7380f93dfe4b3414395fad47116743cec116bf542f24","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-16T19:44:01Z","title_canon_sha256":"b78b8308835d0921483ea3c0ceaee7d2e6b1aa70667361e8b3840d5ddae3fcba"},"schema_version":"1.0","source":{"id":"2502.11244","kind":"arxiv","version":2}},"canonical_sha256":"3ba7b2982d75c919ecac3d040a8482260e82705446f0ee94efb2c16eb63d597b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ba7b2982d75c919ecac3d040a8482260e82705446f0ee94efb2c16eb63d597b","first_computed_at":"2026-07-05T11:57:34.619452Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:34.619452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x2Jt9H+Kut+GpjLcqF4K116P2CEWHLqwN9mFyHO0FkStuF4YWAfUI/bECJ42ce3epu2TlbtBQNZ+J2KKQ8iKDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:34.619920Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.11244","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:28ec5b0a208924aa080a71ddf747ddba94ac67e1e054afbf3e249304f419df91","sha256:03dc8ccd271da9bcbdea81c1a8dac6def085e361933af952c59e1c1a8bfffc23"],"state_sha256":"6eac0e8d30d2f196e373795628e68606b5adb31afb2876e65a639863f927b068"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r3iFTdSLCAyLv6NjZHyUKiG8YPt/07liO/1UtnYDLrdEWdtwd76KQGA0E3aUDg3s05Q3HPlkfaNGRCCfBhZ5BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:27:55.807157Z","bundle_sha256":"d1990aa463e789c066604f3a3f8235548f3bd879b1cb6b83072de901db83a5b7"}}