{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:G3XZ5YRPB4FVO33JR3MJ46W37R","short_pith_number":"pith:G3XZ5YRP","schema_version":"1.0","canonical_sha256":"36ef9ee22f0f0b576f698ed89e7adbfc72030bb6ef2e3768b500a39d3ffb1bc6","source":{"kind":"arxiv","id":"2602.02544","version":2},"attestation_state":"computed","paper":{"title":"SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Dacheng Tao, Jingyi Liao, Rong-Cheng Tu, Wenhao Sun, Yifu Ding, Yongcheng Jing, Zhao Jin","submitted_at":"2026-01-30T05:22:44Z","abstract_excerpt":"While Diffusion Language Models (DLMs) offer a flexible, arbitrary-order alternative to the autoregressive paradigm, their non-causal nature precludes standard KV caching, forcing costly hidden state recomputation at every decoding step. Existing DLM caching approaches reduce this cost by selective hidden state updates; however, they are still limited by (i) costly token-wise update identification heuristics and (ii) rigid, uniform budget allocation that fails to account for heterogeneous hidden state dynamics. To address these challenges, we present SPA-Cache that jointly optimizes update ide"},"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":"2602.02544","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-30T05:22:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d1abe2f9fe49be3851be598d9ab386ab28fd9487e3906c9baaf43531a301963c","abstract_canon_sha256":"45e1bd849062dffd1d400c705b437607c532289147e958e2d4c73ffdbfb02b24"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:24.319570Z","signature_b64":"v0G04wkrFeYR53A9GTlaKZ5GlVYJoQd2ljoUF76ARGd+ojYlyoKXrGD5U2RkbIkZ9hoURPBop3mmzIVkbG8JDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"36ef9ee22f0f0b576f698ed89e7adbfc72030bb6ef2e3768b500a39d3ffb1bc6","last_reissued_at":"2026-05-26T01:03:24.318698Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:24.318698Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Dacheng Tao, Jingyi Liao, Rong-Cheng Tu, Wenhao Sun, Yifu Ding, Yongcheng Jing, Zhao Jin","submitted_at":"2026-01-30T05:22:44Z","abstract_excerpt":"While Diffusion Language Models (DLMs) offer a flexible, arbitrary-order alternative to the autoregressive paradigm, their non-causal nature precludes standard KV caching, forcing costly hidden state recomputation at every decoding step. Existing DLM caching approaches reduce this cost by selective hidden state updates; however, they are still limited by (i) costly token-wise update identification heuristics and (ii) rigid, uniform budget allocation that fails to account for heterogeneous hidden state dynamics. To address these challenges, we present SPA-Cache that jointly optimizes update ide"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.02544","kind":"arxiv","version":2},"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/2602.02544/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":"2602.02544","created_at":"2026-05-26T01:03:24.318809+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.02544v2","created_at":"2026-05-26T01:03:24.318809+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.02544","created_at":"2026-05-26T01:03:24.318809+00:00"},{"alias_kind":"pith_short_12","alias_value":"G3XZ5YRPB4FV","created_at":"2026-05-26T01:03:24.318809+00:00"},{"alias_kind":"pith_short_16","alias_value":"G3XZ5YRPB4FVO33J","created_at":"2026-05-26T01:03:24.318809+00:00"},{"alias_kind":"pith_short_8","alias_value":"G3XZ5YRP","created_at":"2026-05-26T01:03:24.318809+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/G3XZ5YRPB4FVO33JR3MJ46W37R","json":"https://pith.science/pith/G3XZ5YRPB4FVO33JR3MJ46W37R.json","graph_json":"https://pith.science/api/pith-number/G3XZ5YRPB4FVO33JR3MJ46W37R/graph.json","events_json":"https://pith.science/api/pith-number/G3XZ5YRPB4FVO33JR3MJ46W37R/events.json","paper":"https://pith.science/paper/G3XZ5YRP"},"agent_actions":{"view_html":"https://pith.science/pith/G3XZ5YRPB4FVO33JR3MJ46W37R","download_json":"https://pith.science/pith/G3XZ5YRPB4FVO33JR3MJ46W37R.json","view_paper":"https://pith.science/paper/G3XZ5YRP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.02544&json=true","fetch_graph":"https://pith.science/api/pith-number/G3XZ5YRPB4FVO33JR3MJ46W37R/graph.json","fetch_events":"https://pith.science/api/pith-number/G3XZ5YRPB4FVO33JR3MJ46W37R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G3XZ5YRPB4FVO33JR3MJ46W37R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G3XZ5YRPB4FVO33JR3MJ46W37R/action/storage_attestation","attest_author":"https://pith.science/pith/G3XZ5YRPB4FVO33JR3MJ46W37R/action/author_attestation","sign_citation":"https://pith.science/pith/G3XZ5YRPB4FVO33JR3MJ46W37R/action/citation_signature","submit_replication":"https://pith.science/pith/G3XZ5YRPB4FVO33JR3MJ46W37R/action/replication_record"}},"created_at":"2026-05-26T01:03:24.318809+00:00","updated_at":"2026-05-26T01:03:24.318809+00:00"}