{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SV6EKE7RRV7NCGPZKTIO5XA6CP","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":"8c688cd7500ef2439ab2e03223cb204cc96f6056bd362bc4dce4179c1030ee1f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-26T06:03:33Z","title_canon_sha256":"b0dac3764f538fe60a8956e581cdaf831dd16944a950e413c5cf40bc6737389a"},"schema_version":"1.0","source":{"id":"2606.27747","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27747","created_at":"2026-06-29T01:14:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27747v1","created_at":"2026-06-29T01:14:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27747","created_at":"2026-06-29T01:14:47Z"},{"alias_kind":"pith_short_12","alias_value":"SV6EKE7RRV7N","created_at":"2026-06-29T01:14:47Z"},{"alias_kind":"pith_short_16","alias_value":"SV6EKE7RRV7NCGPZ","created_at":"2026-06-29T01:14:47Z"},{"alias_kind":"pith_short_8","alias_value":"SV6EKE7R","created_at":"2026-06-29T01:14:47Z"}],"graph_snapshots":[{"event_id":"sha256:15ca7ccf8d4e8e3e6202df649f9d7501af418d6e5511c02cd94cf1f091e3a133","target":"graph","created_at":"2026-06-29T01:14:47Z","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/2606.27747/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While pre-trained models have achieved remarkable success in code search, their multilingual capabilities remain a major hurdle, plagued by data imbalance, cross-lingual semantic interference, and the loss of critical information from existing unified representations like Abstract Syntax Trees (ASTs) or Intermediate Representations (IRs). Furthermore, conventional contrastive learning strategies often rely on simplistic hard negative sampling while overlooking the potential of mining hard positives to learn code's intrinsic semantic invariance. To address these challenges, we introduce UNICS, ","authors_text":"Bin Luo, Chuanyi Li, Jidong Ge, Liguo Huang, Ye Fan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-26T06:03:33Z","title":"UNICS: Multilingual Code Search via Unified Pseudocode and Contrastive Transfer Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27747","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:e8fe51b895e1f9ae9d948fe378950ccd8019133579f92b8b48732c425a83ea56","target":"record","created_at":"2026-06-29T01:14:47Z","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":"8c688cd7500ef2439ab2e03223cb204cc96f6056bd362bc4dce4179c1030ee1f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-26T06:03:33Z","title_canon_sha256":"b0dac3764f538fe60a8956e581cdaf831dd16944a950e413c5cf40bc6737389a"},"schema_version":"1.0","source":{"id":"2606.27747","kind":"arxiv","version":1}},"canonical_sha256":"957c4513f18d7ed119f954d0eedc1e13e11057620dd8c611dc76f97649c5e1b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"957c4513f18d7ed119f954d0eedc1e13e11057620dd8c611dc76f97649c5e1b2","first_computed_at":"2026-06-29T01:14:47.343857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T01:14:47.343857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YHf16qF2ZGn9Vr7KcMOdiCmWUnJ42TC9VFEiZZFGPYhS+Zf+hQJ3skJZzRGHgxIfJIYbbB3pktDAvuHTwa7/Dg==","signature_status":"signed_v1","signed_at":"2026-06-29T01:14:47.344238Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.27747","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8fe51b895e1f9ae9d948fe378950ccd8019133579f92b8b48732c425a83ea56","sha256:15ca7ccf8d4e8e3e6202df649f9d7501af418d6e5511c02cd94cf1f091e3a133"],"state_sha256":"7dd275742e019ee253d75b0e6be6cd4d74d59e01806d6bb71711a7b999e5be10"}