{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LUXMQJAZDDBLLKBMMN3NRSKRCJ","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":"1b51e7d87d7fb729371c808d621053ab2a361f3a574e182e51db42f190ecf19c","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.OS","submitted_at":"2026-02-14T09:26:41Z","title_canon_sha256":"111180f07874d12b47d590b6a1c05c2eeb698715203910d2807df3f2bc613077"},"schema_version":"1.0","source":{"id":"2602.13692","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.13692","created_at":"2026-07-01T01:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2602.13692v3","created_at":"2026-07-01T01:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.13692","created_at":"2026-07-01T01:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"LUXMQJAZDDBL","created_at":"2026-07-01T01:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"LUXMQJAZDDBLLKBM","created_at":"2026-07-01T01:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"LUXMQJAZ","created_at":"2026-07-01T01:18:24Z"}],"graph_snapshots":[{"event_id":"sha256:af2e6d387fee6b56dbff349553301752dbb21eb3dd7d15646827f8da51436c56","target":"graph","created_at":"2026-07-01T01:18:24Z","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/2602.13692/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models(LLMs) are now used to power complex multi-turn agentic workflows. Existing systems run agentic inference by loosely assembling isolated components: an LLM inference engine (e.g., vLLM) and a tool orchestrator (e.g., Kubernetes). Although agentic workflows involve multiple LLM and tool requests, these systems schedule and allocate resources separately on a per-request basis, without end-to-end knowledge of the workflow. This leads to sub-optimal management of KV cache and tool execution environments. To address the challenges, we propose ThunderAgent, a fast, simple, and p","authors_text":"Beidi Chen, Chenfeng Xu, Hao Kang, Junxiong Wang, Simran Arora, Tushar Krishna, Weili Xu, Xinyu Yang, Yinfang Chen, Ziyang Li","cross_cats":["cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.OS","submitted_at":"2026-02-14T09:26:41Z","title":"ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.13692","kind":"arxiv","version":3},"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:c354b5db79f52a9635ebe690244b38e09c0465b78140ad78ccd3443dc94132c0","target":"record","created_at":"2026-07-01T01:18:24Z","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":"1b51e7d87d7fb729371c808d621053ab2a361f3a574e182e51db42f190ecf19c","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.OS","submitted_at":"2026-02-14T09:26:41Z","title_canon_sha256":"111180f07874d12b47d590b6a1c05c2eeb698715203910d2807df3f2bc613077"},"schema_version":"1.0","source":{"id":"2602.13692","kind":"arxiv","version":3}},"canonical_sha256":"5d2ec8241918c2b5a82c6376d8c95112403e265bdc6f84b7d665610f4671b1bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d2ec8241918c2b5a82c6376d8c95112403e265bdc6f84b7d665610f4671b1bc","first_computed_at":"2026-07-01T01:18:24.316528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T01:18:24.316528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+TzmI27dfo4zmhp4fuD2EBaraoKkmUeFOUUYwM7zDleuTn71xq6GQuA7D54YyCGBeYFnZjDUL15H2nE6qXlhBw==","signature_status":"signed_v1","signed_at":"2026-07-01T01:18:24.317038Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.13692","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c354b5db79f52a9635ebe690244b38e09c0465b78140ad78ccd3443dc94132c0","sha256:af2e6d387fee6b56dbff349553301752dbb21eb3dd7d15646827f8da51436c56"],"state_sha256":"fa6e1b2a8b672bb6a45aee7a5767c573d0d1aec7b581f83bfbe2626d3880c9a9"}