{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:J5QTF5HLNLTQW6G2LCCANKG7BG","short_pith_number":"pith:J5QTF5HL","schema_version":"1.0","canonical_sha256":"4f6132f4eb6ae70b78da588406a8df09b002ad7cd8f8f1228cf13a453b07a027","source":{"kind":"arxiv","id":"2601.22710","version":2},"attestation_state":"computed","paper":{"title":"AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CR","authors_text":"Jaehee Kim, Pilsung Kang","submitted_at":"2026-01-30T08:32:32Z","abstract_excerpt":"Modern LLMs are increasingly accessed via black-box APIs, requiring users to transmit sensitive prompts, outputs, and fine-tuning data to external providers, creating a critical privacy risk at the API boundary. We introduce AlienLM, a deployable API-only \\cradd{exposure-reduction layer that reduces plaintext exposure} by translating text into an Alien Language via a vocabulary-scale bijection, enabling lossless recovery on the client side. Using only standard fine-tuning APIs, Alien Adaptation Training (AAT) adapts target models to operate directly on alienized inputs. Across four LLM backbon"},"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":"2601.22710","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2026-01-30T08:32:32Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"b91903bf22be01fca623040e9d364920a8c042bc8105efe4dfd2b6c2055dde7c","abstract_canon_sha256":"01cdecc667c6d21d24f31cbfce25faa677fd7fdf3e6cf6da2866e62fa257ff11"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T01:17:16.947863Z","signature_b64":"KVkvYC6crXk32l8PHcNgAYi9IcjqyVJBZHM7DfC6z2VCex/jJN+Tb2EWw6Rg6IL1A50BdYytvCeJ0BhHV9NuAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f6132f4eb6ae70b78da588406a8df09b002ad7cd8f8f1228cf13a453b07a027","last_reissued_at":"2026-07-03T01:17:16.947389Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T01:17:16.947389Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CR","authors_text":"Jaehee Kim, Pilsung Kang","submitted_at":"2026-01-30T08:32:32Z","abstract_excerpt":"Modern LLMs are increasingly accessed via black-box APIs, requiring users to transmit sensitive prompts, outputs, and fine-tuning data to external providers, creating a critical privacy risk at the API boundary. We introduce AlienLM, a deployable API-only \\cradd{exposure-reduction layer that reduces plaintext exposure} by translating text into an Alien Language via a vocabulary-scale bijection, enabling lossless recovery on the client side. Using only standard fine-tuning APIs, Alien Adaptation Training (AAT) adapts target models to operate directly on alienized inputs. Across four LLM backbon"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.22710","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/2601.22710/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":"2601.22710","created_at":"2026-07-03T01:17:16.947447+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.22710v2","created_at":"2026-07-03T01:17:16.947447+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.22710","created_at":"2026-07-03T01:17:16.947447+00:00"},{"alias_kind":"pith_short_12","alias_value":"J5QTF5HLNLTQ","created_at":"2026-07-03T01:17:16.947447+00:00"},{"alias_kind":"pith_short_16","alias_value":"J5QTF5HLNLTQW6G2","created_at":"2026-07-03T01:17:16.947447+00:00"},{"alias_kind":"pith_short_8","alias_value":"J5QTF5HL","created_at":"2026-07-03T01:17:16.947447+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/J5QTF5HLNLTQW6G2LCCANKG7BG","json":"https://pith.science/pith/J5QTF5HLNLTQW6G2LCCANKG7BG.json","graph_json":"https://pith.science/api/pith-number/J5QTF5HLNLTQW6G2LCCANKG7BG/graph.json","events_json":"https://pith.science/api/pith-number/J5QTF5HLNLTQW6G2LCCANKG7BG/events.json","paper":"https://pith.science/paper/J5QTF5HL"},"agent_actions":{"view_html":"https://pith.science/pith/J5QTF5HLNLTQW6G2LCCANKG7BG","download_json":"https://pith.science/pith/J5QTF5HLNLTQW6G2LCCANKG7BG.json","view_paper":"https://pith.science/paper/J5QTF5HL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.22710&json=true","fetch_graph":"https://pith.science/api/pith-number/J5QTF5HLNLTQW6G2LCCANKG7BG/graph.json","fetch_events":"https://pith.science/api/pith-number/J5QTF5HLNLTQW6G2LCCANKG7BG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/J5QTF5HLNLTQW6G2LCCANKG7BG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/J5QTF5HLNLTQW6G2LCCANKG7BG/action/storage_attestation","attest_author":"https://pith.science/pith/J5QTF5HLNLTQW6G2LCCANKG7BG/action/author_attestation","sign_citation":"https://pith.science/pith/J5QTF5HLNLTQW6G2LCCANKG7BG/action/citation_signature","submit_replication":"https://pith.science/pith/J5QTF5HLNLTQW6G2LCCANKG7BG/action/replication_record"}},"created_at":"2026-07-03T01:17:16.947447+00:00","updated_at":"2026-07-03T01:17:16.947447+00:00"}