{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GBDHJFIHV4FXW5DVIOS4WIDE7I","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":"3e6363dcaf9cc89187fc5a0ab13a6e65e6a13201567c7042a77083583578e516","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-30T02:39:40Z","title_canon_sha256":"83111eeb480026c9a25e2392e78d4f4b3827b01da49eefa3f2a0b1ce19115520"},"schema_version":"1.0","source":{"id":"2606.00487","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00487","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00487v1","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00487","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"GBDHJFIHV4FX","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"pith_short_16","alias_value":"GBDHJFIHV4FXW5DV","created_at":"2026-06-02T01:03:55Z"},{"alias_kind":"pith_short_8","alias_value":"GBDHJFIH","created_at":"2026-06-02T01:03:55Z"}],"graph_snapshots":[{"event_id":"sha256:2f48544d2b39dc0d831d6d97bf2561aaae70c40b96e43a91a9a43e69a0ed78a0","target":"graph","created_at":"2026-06-02T01:03:55Z","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/2606.00487/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Using a diffusion model for parallel drafting is a promising approach for speculative decoding. By predicting tokens at multiple future positions in a single forward pass, diffusion drafters substantially reduce drafting latency. However, this shifts the bottleneck to verification: verifying a single sequence limits acceptance length, while verifying large draft trees incurs excessive target-model latency. We identify a key mismatch in existing draft-tree methods: existing diffusion-tree methods rank nodes by the marginal probability, ignoring that verification is prefix-conditioned. As a resu","authors_text":"Junnan Huang, Xinyu Chen, Zhuoyu Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-30T02:39:40Z","title":"TAPS: Target-Aware Prefix Tree Selection for Diffusion-Drafted Speculative Decoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00487","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":"sha256:61ffa73d33f36cf28199bcb72db74bcd30c77dbc8747bca9575bc2944eeea3f4","target":"record","created_at":"2026-06-02T01:03:55Z","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":"3e6363dcaf9cc89187fc5a0ab13a6e65e6a13201567c7042a77083583578e516","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-30T02:39:40Z","title_canon_sha256":"83111eeb480026c9a25e2392e78d4f4b3827b01da49eefa3f2a0b1ce19115520"},"schema_version":"1.0","source":{"id":"2606.00487","kind":"arxiv","version":1}},"canonical_sha256":"3046749507af0b7b747543a5cb2064fa006c3b6fdfe833c8158f2d13dc5a477d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3046749507af0b7b747543a5cb2064fa006c3b6fdfe833c8158f2d13dc5a477d","first_computed_at":"2026-06-02T01:03:55.991591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:55.991591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gePUXKVyH3DcJiuH71PnnIq1iI08UyEX4Wpg9XFKNZTmFQIKRUppUmnZe8emmkL1iSJoZTIT+z47gYcdBgWKBg==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:55.992016Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00487","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:61ffa73d33f36cf28199bcb72db74bcd30c77dbc8747bca9575bc2944eeea3f4","sha256:2f48544d2b39dc0d831d6d97bf2561aaae70c40b96e43a91a9a43e69a0ed78a0"],"state_sha256":"83dd4c0a3d2f9892b93a8db481b7501f5be69146537854ba389d4926a951e266"}