{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NZ264K2FUISVOCYVN7WMFNQLN5","short_pith_number":"pith:NZ264K2F","schema_version":"1.0","canonical_sha256":"6e75ee2b45a225570b156fecc2b60b6f5bb8b5d9f793c2e61a5decdb22d154e3","source":{"kind":"arxiv","id":"2605.28053","version":1},"attestation_state":"computed","paper":{"title":"RW-TTT: Batched Serving for Request-Owned Test-Time Training State","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Han Chen, Hao Zhang, Jian Yang, Sirui Han, Yao Tian, Yike Guo, Zhizhuo Kou","submitted_at":"2026-05-27T06:57:54Z","abstract_excerpt":"Test-time training (TTT) adapts an LLM during generation by reading and updating request-owned state, such as fast weights, low-rank deltas, or streaming learner state. This breaks batched LLM serving, which assumes shared static weights: serial execution is correct but slow, while naive batching can corrupt request state. We formulate this problem as read-write TTT serving and present RW-TTT , which tags each decode step with its owner, version, and READ/WRITE effect, batches only compatible phases, and commits updates only to the owner. On one GPU with eight fast-weight InPlace-TTT streams, "},"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":"2605.28053","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-27T06:57:54Z","cross_cats_sorted":[],"title_canon_sha256":"5fc1596d27a4194605ac2e2702f691ba48a67fc6fc08691be81f581e5bc8ec78","abstract_canon_sha256":"72ea78e3af0f72c4306c2143bb5c24ee72270e7ba3816b043eee9f8939e09255"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:04:57.190815Z","signature_b64":"9d4Qs8x8JHKwUAwTLHzw4dQ+f7/8rLCiOZRDk/dZJSi1mvKApus1MSlO3DsKL8IimFSjonKJP/98CiZ3SkhBAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e75ee2b45a225570b156fecc2b60b6f5bb8b5d9f793c2e61a5decdb22d154e3","last_reissued_at":"2026-05-28T01:04:57.190379Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:04:57.190379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RW-TTT: Batched Serving for Request-Owned Test-Time Training State","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Han Chen, Hao Zhang, Jian Yang, Sirui Han, Yao Tian, Yike Guo, Zhizhuo Kou","submitted_at":"2026-05-27T06:57:54Z","abstract_excerpt":"Test-time training (TTT) adapts an LLM during generation by reading and updating request-owned state, such as fast weights, low-rank deltas, or streaming learner state. This breaks batched LLM serving, which assumes shared static weights: serial execution is correct but slow, while naive batching can corrupt request state. We formulate this problem as read-write TTT serving and present RW-TTT , which tags each decode step with its owner, version, and READ/WRITE effect, batches only compatible phases, and commits updates only to the owner. On one GPU with eight fast-weight InPlace-TTT streams, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28053","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/2605.28053/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":"2605.28053","created_at":"2026-05-28T01:04:57.190442+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.28053v1","created_at":"2026-05-28T01:04:57.190442+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28053","created_at":"2026-05-28T01:04:57.190442+00:00"},{"alias_kind":"pith_short_12","alias_value":"NZ264K2FUISV","created_at":"2026-05-28T01:04:57.190442+00:00"},{"alias_kind":"pith_short_16","alias_value":"NZ264K2FUISVOCYV","created_at":"2026-05-28T01:04:57.190442+00:00"},{"alias_kind":"pith_short_8","alias_value":"NZ264K2F","created_at":"2026-05-28T01:04:57.190442+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/NZ264K2FUISVOCYVN7WMFNQLN5","json":"https://pith.science/pith/NZ264K2FUISVOCYVN7WMFNQLN5.json","graph_json":"https://pith.science/api/pith-number/NZ264K2FUISVOCYVN7WMFNQLN5/graph.json","events_json":"https://pith.science/api/pith-number/NZ264K2FUISVOCYVN7WMFNQLN5/events.json","paper":"https://pith.science/paper/NZ264K2F"},"agent_actions":{"view_html":"https://pith.science/pith/NZ264K2FUISVOCYVN7WMFNQLN5","download_json":"https://pith.science/pith/NZ264K2FUISVOCYVN7WMFNQLN5.json","view_paper":"https://pith.science/paper/NZ264K2F","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.28053&json=true","fetch_graph":"https://pith.science/api/pith-number/NZ264K2FUISVOCYVN7WMFNQLN5/graph.json","fetch_events":"https://pith.science/api/pith-number/NZ264K2FUISVOCYVN7WMFNQLN5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NZ264K2FUISVOCYVN7WMFNQLN5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NZ264K2FUISVOCYVN7WMFNQLN5/action/storage_attestation","attest_author":"https://pith.science/pith/NZ264K2FUISVOCYVN7WMFNQLN5/action/author_attestation","sign_citation":"https://pith.science/pith/NZ264K2FUISVOCYVN7WMFNQLN5/action/citation_signature","submit_replication":"https://pith.science/pith/NZ264K2FUISVOCYVN7WMFNQLN5/action/replication_record"}},"created_at":"2026-05-28T01:04:57.190442+00:00","updated_at":"2026-05-28T01:04:57.190442+00:00"}