{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:6ZY5GNEII3OY5JIYGT6H7BQZS6","short_pith_number":"pith:6ZY5GNEI","schema_version":"1.0","canonical_sha256":"f671d3348846dd8ea51834fc7f86199797d2949d73c819b7354ce26d3b680d84","source":{"kind":"arxiv","id":"2607.07409","version":1},"attestation_state":"computed","paper":{"title":"DeLS-Spec: Decoupled Long-Short Contexts for Parallel Speculative Drafting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hong-Kai Zheng, Piji Li","submitted_at":"2026-07-08T13:41:52Z","abstract_excerpt":"Speculative decoding accelerates LLM inference by drafting multiple tokens and verifying them in parallel. Block-parallel drafters such as DFlash further improve drafting efficiency by predicting an entire block in one pass, but their position-wise predictions lack explicit intra-block causal conditioning. Recent methods such as Domino and DSpark attempt to introduce such causality into block-parallel drafting, but they require training the draft model from scratch, which limits their flexibility and increases training cost. We propose DeLS-Spec, a decoupled long-short context speculative deco"},"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":"2607.07409","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-08T13:41:52Z","cross_cats_sorted":[],"title_canon_sha256":"a85529dad841f3703ba7ac7931ecbd5661405c6bf60dc8ee9141ff24b9510a14","abstract_canon_sha256":"f00495c264e66f8c85793e2cdf2c5dc306f4ace167723b7180e726c64dfa3e5f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-09T01:20:24.207887Z","signature_b64":"IR7bwDo2v7er5yTJvCAWVcdX/KRqTzepOGS/Jsz/m4+9kd/4Vcpiq0Mif30X/haaFBVXpC/Q78A50+fF2VnmAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f671d3348846dd8ea51834fc7f86199797d2949d73c819b7354ce26d3b680d84","last_reissued_at":"2026-07-09T01:20:24.207409Z","signature_status":"signed_v1","first_computed_at":"2026-07-09T01:20:24.207409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DeLS-Spec: Decoupled Long-Short Contexts for Parallel Speculative Drafting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hong-Kai Zheng, Piji Li","submitted_at":"2026-07-08T13:41:52Z","abstract_excerpt":"Speculative decoding accelerates LLM inference by drafting multiple tokens and verifying them in parallel. Block-parallel drafters such as DFlash further improve drafting efficiency by predicting an entire block in one pass, but their position-wise predictions lack explicit intra-block causal conditioning. Recent methods such as Domino and DSpark attempt to introduce such causality into block-parallel drafting, but they require training the draft model from scratch, which limits their flexibility and increases training cost. We propose DeLS-Spec, a decoupled long-short context speculative deco"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07409","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/2607.07409/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":"2607.07409","created_at":"2026-07-09T01:20:24.207514+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.07409v1","created_at":"2026-07-09T01:20:24.207514+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.07409","created_at":"2026-07-09T01:20:24.207514+00:00"},{"alias_kind":"pith_short_12","alias_value":"6ZY5GNEII3OY","created_at":"2026-07-09T01:20:24.207514+00:00"},{"alias_kind":"pith_short_16","alias_value":"6ZY5GNEII3OY5JIY","created_at":"2026-07-09T01:20:24.207514+00:00"},{"alias_kind":"pith_short_8","alias_value":"6ZY5GNEI","created_at":"2026-07-09T01:20:24.207514+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/6ZY5GNEII3OY5JIYGT6H7BQZS6","json":"https://pith.science/pith/6ZY5GNEII3OY5JIYGT6H7BQZS6.json","graph_json":"https://pith.science/api/pith-number/6ZY5GNEII3OY5JIYGT6H7BQZS6/graph.json","events_json":"https://pith.science/api/pith-number/6ZY5GNEII3OY5JIYGT6H7BQZS6/events.json","paper":"https://pith.science/paper/6ZY5GNEI"},"agent_actions":{"view_html":"https://pith.science/pith/6ZY5GNEII3OY5JIYGT6H7BQZS6","download_json":"https://pith.science/pith/6ZY5GNEII3OY5JIYGT6H7BQZS6.json","view_paper":"https://pith.science/paper/6ZY5GNEI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.07409&json=true","fetch_graph":"https://pith.science/api/pith-number/6ZY5GNEII3OY5JIYGT6H7BQZS6/graph.json","fetch_events":"https://pith.science/api/pith-number/6ZY5GNEII3OY5JIYGT6H7BQZS6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6ZY5GNEII3OY5JIYGT6H7BQZS6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6ZY5GNEII3OY5JIYGT6H7BQZS6/action/storage_attestation","attest_author":"https://pith.science/pith/6ZY5GNEII3OY5JIYGT6H7BQZS6/action/author_attestation","sign_citation":"https://pith.science/pith/6ZY5GNEII3OY5JIYGT6H7BQZS6/action/citation_signature","submit_replication":"https://pith.science/pith/6ZY5GNEII3OY5JIYGT6H7BQZS6/action/replication_record"}},"created_at":"2026-07-09T01:20:24.207514+00:00","updated_at":"2026-07-09T01:20:24.207514+00:00"}