{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:C2QIWUKHQZBSMTIUKJEKY6PH63","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":"660f71852dfd0eae83331b4da5cbd34189b41aa76e9449caf812e39e5af3c970","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-18T14:33:09Z","title_canon_sha256":"f6d718be64a594f17b3f5ada9919839cadbe5ea1bf6730298f0b6348425959d6"},"schema_version":"1.0","source":{"id":"2606.20295","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20295","created_at":"2026-06-19T16:13:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20295v1","created_at":"2026-06-19T16:13:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20295","created_at":"2026-06-19T16:13:08Z"},{"alias_kind":"pith_short_12","alias_value":"C2QIWUKHQZBS","created_at":"2026-06-19T16:13:08Z"},{"alias_kind":"pith_short_16","alias_value":"C2QIWUKHQZBSMTIU","created_at":"2026-06-19T16:13:08Z"},{"alias_kind":"pith_short_8","alias_value":"C2QIWUKH","created_at":"2026-06-19T16:13:08Z"}],"graph_snapshots":[{"event_id":"sha256:d114d726e15a73ff14db273eacab5d5101c867c08a3366d54b1c5888720c037f","target":"graph","created_at":"2026-06-19T16:13:08Z","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/2606.20295/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large model inference optimization serves as a key foundation for supporting the scalable, low-cost, and highly stable operation of large model services. Centered on token-oriented inference optimization technology, this paper proposes for the first time a four-layer technical architecture consisting of Multi-model Fusion, Model Optimization, Compute-Model Fusion, and Compute-Network-Model Fusion. It systematically reviews the key technologies and current industry status across these four levels and analyzes the application value of related technologies in real-world business scenarios. This p","authors_text":"Cong Wang, Dongyan Zhao, Fang Zhao, Huanlin Gao, Huishuai Zhang, Jiangze Yan, Jieyun Huang, Junping Du, Kaikai Zhao, Kai Wang, Minjie Hua, Ping Chen, Qinghuai Ma, Shiguo Lian, Tao Chen, Wen Liu, Xiang Gao, Xinggang Wang, Xin Wang, Xinyu Yang, Yao Zhao, Yilin Zhang, Yi Shen, Yutong Liu, Zhaoxiang Liu","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-18T14:33:09Z","title":"Token-Operations-Oriented Inference Optimization Techniques for Large Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20295","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:abefc1ae84ddffe24eb611566c780da3659a5f5a38ea9c62048560ca431f96b1","target":"record","created_at":"2026-06-19T16:13:08Z","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":"660f71852dfd0eae83331b4da5cbd34189b41aa76e9449caf812e39e5af3c970","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-18T14:33:09Z","title_canon_sha256":"f6d718be64a594f17b3f5ada9919839cadbe5ea1bf6730298f0b6348425959d6"},"schema_version":"1.0","source":{"id":"2606.20295","kind":"arxiv","version":1}},"canonical_sha256":"16a08b51478643264d145248ac79e7f6ef4984e72d9f33694327be70e92196bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16a08b51478643264d145248ac79e7f6ef4984e72d9f33694327be70e92196bf","first_computed_at":"2026-06-19T16:13:08.114544Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:13:08.114544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Qiw5r3w+SDduZ5iKv0BbCM+lZuWTwrwND8zDYlCLB3NpYXhyx+bJ1HRc4SizBAAedmy0K1IeY/zyOpk1W6mlAw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:13:08.114961Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20295","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:abefc1ae84ddffe24eb611566c780da3659a5f5a38ea9c62048560ca431f96b1","sha256:d114d726e15a73ff14db273eacab5d5101c867c08a3366d54b1c5888720c037f"],"state_sha256":"f7b0477e08dc9f7c3d89748c5bdc38a43ec0dc0378e2a8a3b52504e595bc32bb"}