{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7C6HSNX5SCXJRPJARX7VSCH2XP","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":"6dd3d2fde98afa7eee110293e2db1958d3cf0d93aa18ebf1c6eeaefa6a71829a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-18T05:34:36Z","title_canon_sha256":"c6dc563c4a56db543b1ee23f295ab8ee5c28dd1263695bafe7d6632ff0e46488"},"schema_version":"1.0","source":{"id":"2507.13666","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.13666","created_at":"2026-07-05T11:39:20Z"},{"alias_kind":"arxiv_version","alias_value":"2507.13666v1","created_at":"2026-07-05T11:39:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.13666","created_at":"2026-07-05T11:39:20Z"},{"alias_kind":"pith_short_12","alias_value":"7C6HSNX5SCXJ","created_at":"2026-07-05T11:39:20Z"},{"alias_kind":"pith_short_16","alias_value":"7C6HSNX5SCXJRPJA","created_at":"2026-07-05T11:39:20Z"},{"alias_kind":"pith_short_8","alias_value":"7C6HSNX5","created_at":"2026-07-05T11:39:20Z"}],"graph_snapshots":[{"event_id":"sha256:adc6e2e4a74b4bcbfa35215255965fbc41289ea1f666eb1e4d3f80a8fbd7a094","target":"graph","created_at":"2026-07-05T11:39:20Z","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/2507.13666/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have demonstrated state-of-the-art performance across a wide range of natural language processing tasks. However, high-performing models are typically accessible only via APIs, incurring substantial inference costs. Cascade methods address this by initially employing a cheaper model and escalating to a stronger one only when necessary. Nevertheless, existing cascade approaches struggle to select a reliable representative response and assess the overall reliability of free-form outputs, as they rely on exact text matching. To overcome these limitations, we propose K","authors_text":"Ji-Hoon Park, Seong-Whan Lee, Woo-Chan Kim","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-18T05:34:36Z","title":"KiC: Keyword-inspired Cascade for Cost-Efficient Text Generation with LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.13666","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:cc465eb29d5236930b2064e049322f5dcb0878266858e268412a6141ac1ba5e9","target":"record","created_at":"2026-07-05T11:39:20Z","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":"6dd3d2fde98afa7eee110293e2db1958d3cf0d93aa18ebf1c6eeaefa6a71829a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-18T05:34:36Z","title_canon_sha256":"c6dc563c4a56db543b1ee23f295ab8ee5c28dd1263695bafe7d6632ff0e46488"},"schema_version":"1.0","source":{"id":"2507.13666","kind":"arxiv","version":1}},"canonical_sha256":"f8bc7936fd90ae98bd208dff5908fabbc0f06ca6ad4a380dee023f3448bd8f11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f8bc7936fd90ae98bd208dff5908fabbc0f06ca6ad4a380dee023f3448bd8f11","first_computed_at":"2026-07-05T11:39:20.956928Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:20.956928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JYYcJzmoliOHVfujQ51V3DqglMBWxuMEqeVMxLbqvUB8SgSnQkl8LCBnyMKEne9zEtxm9nGc02HBH4JlLXJ1DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:20.957347Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.13666","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc465eb29d5236930b2064e049322f5dcb0878266858e268412a6141ac1ba5e9","sha256:adc6e2e4a74b4bcbfa35215255965fbc41289ea1f666eb1e4d3f80a8fbd7a094"],"state_sha256":"be97577c64ebf2c7d0a339736b477c01ca881e6b6c2e3c2d95c7d2704ded4ad8"}