{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:EI2IAMZ6PUNH52HZMS326DEPXE","short_pith_number":"pith:EI2IAMZ6","schema_version":"1.0","canonical_sha256":"223480333e7d1a7ee8f964b7af0c8fb9309d097d52ed9f9cf564dc716e95e43f","source":{"kind":"arxiv","id":"2605.22106","version":1},"attestation_state":"computed","paper":{"title":"ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Hong Wang, Lei Liu, Runquan Gui, Yeqiu Chen, Zhenxin Huang, Ziyan Liu","submitted_at":"2026-05-21T07:40:57Z","abstract_excerpt":"Recent progress in LLM reasoning has increasingly shifted from single-pass generation to explicit search over intermediate reasoning states. Tree-of-Thoughts (ToT) organizes inference to tree-structured search with branching and backtracking, but it substantially amplifies the Key--Value (KV) cache: retaining KV states for a frontier of partial trajectories quickly becomes a memory bottleneck that limits throughput and constrains search depth and width under fixed hardware budgets. We address this challenge by observing that KV reuse in ToT-style inference is governed by search dynamics: near-"},"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":"2605.22106","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-21T07:40:57Z","cross_cats_sorted":[],"title_canon_sha256":"a260a75806b11e8c48e1e33316dad5f89b3ed234ff3dbbb99764c0bc1f5a4c23","abstract_canon_sha256":"97dc8372205ef19c3a626aff2815319ac886c45b2d26db79b0b3879d1c1a1983"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:26.081945Z","signature_b64":"28f4KautTx2iVIc9f6D8+w3sx0PULwxvDe2gjp5+O7G/e4IWhiJmfzkc9Br3Mp+X/V/OZWYXuVKJ818VgdaqAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"223480333e7d1a7ee8f964b7af0c8fb9309d097d52ed9f9cf564dc716e95e43f","last_reissued_at":"2026-05-22T01:04:26.081082Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:26.081082Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Hong Wang, Lei Liu, Runquan Gui, Yeqiu Chen, Zhenxin Huang, Ziyan Liu","submitted_at":"2026-05-21T07:40:57Z","abstract_excerpt":"Recent progress in LLM reasoning has increasingly shifted from single-pass generation to explicit search over intermediate reasoning states. Tree-of-Thoughts (ToT) organizes inference to tree-structured search with branching and backtracking, but it substantially amplifies the Key--Value (KV) cache: retaining KV states for a frontier of partial trajectories quickly becomes a memory bottleneck that limits throughput and constrains search depth and width under fixed hardware budgets. We address this challenge by observing that KV reuse in ToT-style inference is governed by search dynamics: near-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22106","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/2605.22106/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":"2605.22106","created_at":"2026-05-22T01:04:26.081240+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.22106v1","created_at":"2026-05-22T01:04:26.081240+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22106","created_at":"2026-05-22T01:04:26.081240+00:00"},{"alias_kind":"pith_short_12","alias_value":"EI2IAMZ6PUNH","created_at":"2026-05-22T01:04:26.081240+00:00"},{"alias_kind":"pith_short_16","alias_value":"EI2IAMZ6PUNH52HZ","created_at":"2026-05-22T01:04:26.081240+00:00"},{"alias_kind":"pith_short_8","alias_value":"EI2IAMZ6","created_at":"2026-05-22T01:04:26.081240+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/EI2IAMZ6PUNH52HZMS326DEPXE","json":"https://pith.science/pith/EI2IAMZ6PUNH52HZMS326DEPXE.json","graph_json":"https://pith.science/api/pith-number/EI2IAMZ6PUNH52HZMS326DEPXE/graph.json","events_json":"https://pith.science/api/pith-number/EI2IAMZ6PUNH52HZMS326DEPXE/events.json","paper":"https://pith.science/paper/EI2IAMZ6"},"agent_actions":{"view_html":"https://pith.science/pith/EI2IAMZ6PUNH52HZMS326DEPXE","download_json":"https://pith.science/pith/EI2IAMZ6PUNH52HZMS326DEPXE.json","view_paper":"https://pith.science/paper/EI2IAMZ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.22106&json=true","fetch_graph":"https://pith.science/api/pith-number/EI2IAMZ6PUNH52HZMS326DEPXE/graph.json","fetch_events":"https://pith.science/api/pith-number/EI2IAMZ6PUNH52HZMS326DEPXE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EI2IAMZ6PUNH52HZMS326DEPXE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EI2IAMZ6PUNH52HZMS326DEPXE/action/storage_attestation","attest_author":"https://pith.science/pith/EI2IAMZ6PUNH52HZMS326DEPXE/action/author_attestation","sign_citation":"https://pith.science/pith/EI2IAMZ6PUNH52HZMS326DEPXE/action/citation_signature","submit_replication":"https://pith.science/pith/EI2IAMZ6PUNH52HZMS326DEPXE/action/replication_record"}},"created_at":"2026-05-22T01:04:26.081240+00:00","updated_at":"2026-05-22T01:04:26.081240+00:00"}