{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:UDUOZM6QIURXXQVERNBNAMF7XY","short_pith_number":"pith:UDUOZM6Q","schema_version":"1.0","canonical_sha256":"a0e8ecb3d045237bc2a48b42d030bfbe362c12871c52b9e42b83b4d656116288","source":{"kind":"arxiv","id":"2607.25633","version":1},"attestation_state":"computed","paper":{"title":"Construction-Driven Injection: Linguistically-Grounded Edit-Based Code-Mixing Fingerprints for Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Tianbao Jiang, Xin Yi, Yongyi Cui, Yue Li","submitted_at":"2026-07-28T12:16:14Z","abstract_excerpt":"Large language models (LLMs) are costly intellectual assets that remain exposed to unauthorized redistribution and commercial misuse. Injected fingerprints, i.e., trigger--target pairs embedded in model behavior, offer a practical, black-box-verifiable ownership signal, but existing methods decouple the two stages of the fingerprint life cycle: how a fingerprint is constructed and how it is injected. Existing fingerprinting frameworks suffer from two limitations. Natural-language fingerprints are prone to accidental activation, and garbled fingerprints are easily filtered by perplexity-based d"},"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":"2607.25633","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-28T12:16:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"21f44b23214318daa447cbadad4edecb9c0ffb0ba33ed0ba408bca05b2620b12","abstract_canon_sha256":"f24355fa29bc31e7689d32fd4c82036b42e572a25dc094052ebefe75f78b9a94"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:25:54.009096Z","signature_b64":"T54h0GoP4iz6NH02mdMhFLGwLJp7tEq26fDa9RjtZ2zdjUdJwiL9CoMARHW674uu6LG86aWX27s9ujZyRsj6BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a0e8ecb3d045237bc2a48b42d030bfbe362c12871c52b9e42b83b4d656116288","last_reissued_at":"2026-07-29T01:25:54.007825Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:25:54.007825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Construction-Driven Injection: Linguistically-Grounded Edit-Based Code-Mixing Fingerprints for Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Tianbao Jiang, Xin Yi, Yongyi Cui, Yue Li","submitted_at":"2026-07-28T12:16:14Z","abstract_excerpt":"Large language models (LLMs) are costly intellectual assets that remain exposed to unauthorized redistribution and commercial misuse. Injected fingerprints, i.e., trigger--target pairs embedded in model behavior, offer a practical, black-box-verifiable ownership signal, but existing methods decouple the two stages of the fingerprint life cycle: how a fingerprint is constructed and how it is injected. Existing fingerprinting frameworks suffer from two limitations. Natural-language fingerprints are prone to accidental activation, and garbled fingerprints are easily filtered by perplexity-based d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25633","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/2607.25633/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":"2607.25633","created_at":"2026-07-29T01:25:54.008658+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.25633v1","created_at":"2026-07-29T01:25:54.008658+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25633","created_at":"2026-07-29T01:25:54.008658+00:00"},{"alias_kind":"pith_short_12","alias_value":"UDUOZM6QIURX","created_at":"2026-07-29T01:25:54.008658+00:00"},{"alias_kind":"pith_short_16","alias_value":"UDUOZM6QIURXXQVE","created_at":"2026-07-29T01:25:54.008658+00:00"},{"alias_kind":"pith_short_8","alias_value":"UDUOZM6Q","created_at":"2026-07-29T01:25:54.008658+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/UDUOZM6QIURXXQVERNBNAMF7XY","json":"https://pith.science/pith/UDUOZM6QIURXXQVERNBNAMF7XY.json","graph_json":"https://pith.science/api/pith-number/UDUOZM6QIURXXQVERNBNAMF7XY/graph.json","events_json":"https://pith.science/api/pith-number/UDUOZM6QIURXXQVERNBNAMF7XY/events.json","paper":"https://pith.science/paper/UDUOZM6Q"},"agent_actions":{"view_html":"https://pith.science/pith/UDUOZM6QIURXXQVERNBNAMF7XY","download_json":"https://pith.science/pith/UDUOZM6QIURXXQVERNBNAMF7XY.json","view_paper":"https://pith.science/paper/UDUOZM6Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.25633&json=true","fetch_graph":"https://pith.science/api/pith-number/UDUOZM6QIURXXQVERNBNAMF7XY/graph.json","fetch_events":"https://pith.science/api/pith-number/UDUOZM6QIURXXQVERNBNAMF7XY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UDUOZM6QIURXXQVERNBNAMF7XY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UDUOZM6QIURXXQVERNBNAMF7XY/action/storage_attestation","attest_author":"https://pith.science/pith/UDUOZM6QIURXXQVERNBNAMF7XY/action/author_attestation","sign_citation":"https://pith.science/pith/UDUOZM6QIURXXQVERNBNAMF7XY/action/citation_signature","submit_replication":"https://pith.science/pith/UDUOZM6QIURXXQVERNBNAMF7XY/action/replication_record"}},"created_at":"2026-07-29T01:25:54.008658+00:00","updated_at":"2026-07-29T01:25:54.008658+00:00"}