{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DMAYHV3J4FJUK5TNHU4JAEJZWU","short_pith_number":"pith:DMAYHV3J","canonical_record":{"source":{"id":"2505.18629","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-24T10:26:27Z","cross_cats_sorted":[],"title_canon_sha256":"3f9946df89d319bffea460a0c1539de089666b86cccbd1c5c87e16e3bbfcb5ce","abstract_canon_sha256":"8da90ff08929da8e14265b9ab0d2e1ca22535c37885294cfadfec81e95c91bbf"},"schema_version":"1.0"},"canonical_sha256":"1b0183d769e15345766d3d38901139b52c21d01dd779a2c0c029ad1ab9d69498","source":{"kind":"arxiv","id":"2505.18629","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.18629","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"arxiv_version","alias_value":"2505.18629v1","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18629","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"pith_short_12","alias_value":"DMAYHV3J4FJU","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"pith_short_16","alias_value":"DMAYHV3J4FJUK5TN","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"pith_short_8","alias_value":"DMAYHV3J","created_at":"2026-07-05T11:09:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DMAYHV3J4FJUK5TNHU4JAEJZWU","target":"record","payload":{"canonical_record":{"source":{"id":"2505.18629","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-24T10:26:27Z","cross_cats_sorted":[],"title_canon_sha256":"3f9946df89d319bffea460a0c1539de089666b86cccbd1c5c87e16e3bbfcb5ce","abstract_canon_sha256":"8da90ff08929da8e14265b9ab0d2e1ca22535c37885294cfadfec81e95c91bbf"},"schema_version":"1.0"},"canonical_sha256":"1b0183d769e15345766d3d38901139b52c21d01dd779a2c0c029ad1ab9d69498","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:16.651291Z","signature_b64":"3u25jLyX04ZcL2L23o8H4LYSvuDCJLU9dVoeqtY5PxPPwIEW35YkV9K+TCaaXlSHU0oX8iuUOTtrkICIqdWmAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b0183d769e15345766d3d38901139b52c21d01dd779a2c0c029ad1ab9d69498","last_reissued_at":"2026-07-05T11:09:16.650778Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:16.650778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.18629","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:09:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"56ZPXDSBUJZHffaJ1RX1BnDAzAtFjdUSe+xBFP7maadxn3mPXKxOb9ImUjKnD03eaJwqyJ3YG1jlasqgly7KAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:30:44.779956Z"},"content_sha256":"58e1f65ed8df0667a7589ee588279d68426ecf72e16f867dfbfbc015174ad66c","schema_version":"1.0","event_id":"sha256:58e1f65ed8df0667a7589ee588279d68426ecf72e16f867dfbfbc015174ad66c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DMAYHV3J4FJUK5TNHU4JAEJZWU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Qingfu Zhu, Shiyu Ji, Wanxiang Che, Yang Xu, Yijun Liu, Yixuan Wang, Yuzhuang Xu","submitted_at":"2025-05-24T10:26:27Z","abstract_excerpt":"Large language models (LLMs) suffer from high inference latency due to the auto-regressive decoding process. Speculative decoding accelerates inference by generating multiple draft tokens using a lightweight model and verifying them in parallel. However, existing verification methods rely heavily on distributional consistency while overlooking semantic correctness, thereby limiting the potential speedup of speculative decoding. While some methods employ additional models for relaxed verification of draft tokens, they often fail to generalize effectively to more diverse or open-domain settings."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18629","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/2505.18629/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:09:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bzZYFp/S0En8A/v05bQc1WlqHqb+xKWF5KK2ZxXuXzROqnHFF7uDYMaBB07MMIEP8vvdbISGAOh33tboHBeQBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:30:44.780560Z"},"content_sha256":"99d2854aedbf98ba333cfea4cc951fdfd2adb225885c141780dda0c44d7a263f","schema_version":"1.0","event_id":"sha256:99d2854aedbf98ba333cfea4cc951fdfd2adb225885c141780dda0c44d7a263f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DMAYHV3J4FJUK5TNHU4JAEJZWU/bundle.json","state_url":"https://pith.science/pith/DMAYHV3J4FJUK5TNHU4JAEJZWU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DMAYHV3J4FJUK5TNHU4JAEJZWU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T07:30:44Z","links":{"resolver":"https://pith.science/pith/DMAYHV3J4FJUK5TNHU4JAEJZWU","bundle":"https://pith.science/pith/DMAYHV3J4FJUK5TNHU4JAEJZWU/bundle.json","state":"https://pith.science/pith/DMAYHV3J4FJUK5TNHU4JAEJZWU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DMAYHV3J4FJUK5TNHU4JAEJZWU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DMAYHV3J4FJUK5TNHU4JAEJZWU","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":"8da90ff08929da8e14265b9ab0d2e1ca22535c37885294cfadfec81e95c91bbf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-24T10:26:27Z","title_canon_sha256":"3f9946df89d319bffea460a0c1539de089666b86cccbd1c5c87e16e3bbfcb5ce"},"schema_version":"1.0","source":{"id":"2505.18629","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.18629","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"arxiv_version","alias_value":"2505.18629v1","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18629","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"pith_short_12","alias_value":"DMAYHV3J4FJU","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"pith_short_16","alias_value":"DMAYHV3J4FJUK5TN","created_at":"2026-07-05T11:09:16Z"},{"alias_kind":"pith_short_8","alias_value":"DMAYHV3J","created_at":"2026-07-05T11:09:16Z"}],"graph_snapshots":[{"event_id":"sha256:99d2854aedbf98ba333cfea4cc951fdfd2adb225885c141780dda0c44d7a263f","target":"graph","created_at":"2026-07-05T11:09:16Z","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/2505.18629/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) suffer from high inference latency due to the auto-regressive decoding process. Speculative decoding accelerates inference by generating multiple draft tokens using a lightweight model and verifying them in parallel. However, existing verification methods rely heavily on distributional consistency while overlooking semantic correctness, thereby limiting the potential speedup of speculative decoding. While some methods employ additional models for relaxed verification of draft tokens, they often fail to generalize effectively to more diverse or open-domain settings.","authors_text":"Qingfu Zhu, Shiyu Ji, Wanxiang Che, Yang Xu, Yijun Liu, Yixuan Wang, Yuzhuang Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-24T10:26:27Z","title":"Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18629","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":"sha256:58e1f65ed8df0667a7589ee588279d68426ecf72e16f867dfbfbc015174ad66c","target":"record","created_at":"2026-07-05T11:09:16Z","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":"8da90ff08929da8e14265b9ab0d2e1ca22535c37885294cfadfec81e95c91bbf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-24T10:26:27Z","title_canon_sha256":"3f9946df89d319bffea460a0c1539de089666b86cccbd1c5c87e16e3bbfcb5ce"},"schema_version":"1.0","source":{"id":"2505.18629","kind":"arxiv","version":1}},"canonical_sha256":"1b0183d769e15345766d3d38901139b52c21d01dd779a2c0c029ad1ab9d69498","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b0183d769e15345766d3d38901139b52c21d01dd779a2c0c029ad1ab9d69498","first_computed_at":"2026-07-05T11:09:16.650778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:16.650778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3u25jLyX04ZcL2L23o8H4LYSvuDCJLU9dVoeqtY5PxPPwIEW35YkV9K+TCaaXlSHU0oX8iuUOTtrkICIqdWmAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:16.651291Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.18629","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:58e1f65ed8df0667a7589ee588279d68426ecf72e16f867dfbfbc015174ad66c","sha256:99d2854aedbf98ba333cfea4cc951fdfd2adb225885c141780dda0c44d7a263f"],"state_sha256":"f09da976806de398b554b70e2388d1a9245632592076f5434d6697ca525ce630"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7+cFmJ9BF03+UNbas7T9cX5fn6fu4EA3LJyiBv8k3r8olN1FBZBjy5qLl9AhrbmfWPQVhCxp7FyqKnKjkjbwBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T07:30:44.785767Z","bundle_sha256":"89e5cb1a556176e00591acafcb8ad15df673ac568581be38382528a0c11faa06"}}