{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IYRKK2F7ED3MJ3PVFG7MEUCXFC","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":"eb0957c30a050d78c088b4d9991e350c8647a8486c76cf2978025be922874e58","cross_cats_sorted":["cs.DB","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-24T07:33:46Z","title_canon_sha256":"c48d57ade6305cef36ed05419405a4ab78f9781b7ed5cff15e5ecd70519cbbcc"},"schema_version":"1.0","source":{"id":"2605.24914","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24914","created_at":"2026-05-26T01:04:05Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24914v1","created_at":"2026-05-26T01:04:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24914","created_at":"2026-05-26T01:04:05Z"},{"alias_kind":"pith_short_12","alias_value":"IYRKK2F7ED3M","created_at":"2026-05-26T01:04:05Z"},{"alias_kind":"pith_short_16","alias_value":"IYRKK2F7ED3MJ3PV","created_at":"2026-05-26T01:04:05Z"},{"alias_kind":"pith_short_8","alias_value":"IYRKK2F7","created_at":"2026-05-26T01:04:05Z"}],"graph_snapshots":[{"event_id":"sha256:6c525a687003a5088a563d9121e06a584bb0fdd8b553ed27f89c619acd4a5309","target":"graph","created_at":"2026-05-26T01:04:05Z","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/2605.24914/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To reduce LLM costs and latency, semantic caching systems must accurately identify when a new prompt matches a cached one. Current methods often rely on simplistic similarity measures, which limit their effectiveness. We introduce MVR-cache, a novel semantic caching approach that significantly improves retrieval accuracy by integrating Multi-Vector Retrieval (MVR). MVR-cache is built upon a learnable segmentation model that intelligently splits prompts, enabling fine-grained similarity comparisons via MaxSim. We derive the model's training objective from a rigorous theoretical analysis. This c","authors_text":"Ali Noshad, Yinjun Wu, Zishan Zheng","cross_cats":["cs.DB","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-24T07:33:46Z","title":"MVR-cache: Optimizing Semantic Caching via Multi-Vector Retrieval and Learned Prompt Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24914","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:e59c40d9fb1c342a108ee813ebba27a2fd4c6c714e98fdde78c90ab25e43cb0f","target":"record","created_at":"2026-05-26T01:04:05Z","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":"eb0957c30a050d78c088b4d9991e350c8647a8486c76cf2978025be922874e58","cross_cats_sorted":["cs.DB","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-24T07:33:46Z","title_canon_sha256":"c48d57ade6305cef36ed05419405a4ab78f9781b7ed5cff15e5ecd70519cbbcc"},"schema_version":"1.0","source":{"id":"2605.24914","kind":"arxiv","version":1}},"canonical_sha256":"4622a568bf20f6c4edf529bec25057288ee9f51e75e5171a2e23f153a507b307","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4622a568bf20f6c4edf529bec25057288ee9f51e75e5171a2e23f153a507b307","first_computed_at":"2026-05-26T01:04:05.549234Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:04:05.549234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wIfy98Vq80Gg5VtXuqp9yqRlq3mdHqiOBXl9MtX2FE88LeU8coXWxETAa3G4FflBuMBVqCEopJp3DrWBIustAQ==","signature_status":"signed_v1","signed_at":"2026-05-26T01:04:05.549929Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24914","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e59c40d9fb1c342a108ee813ebba27a2fd4c6c714e98fdde78c90ab25e43cb0f","sha256:6c525a687003a5088a563d9121e06a584bb0fdd8b553ed27f89c619acd4a5309"],"state_sha256":"93616b5854d7676063fc95bde015afb123f1f1f9cff9c8ae360608a4ea4e1158"}