{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:B4GTO36L6BDP6ITVMP5CPBWGA5","short_pith_number":"pith:B4GTO36L","canonical_record":{"source":{"id":"2410.20290","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-26T23:20:48Z","cross_cats_sorted":[],"title_canon_sha256":"1b00b7e65452391913fdad6947a85b98a84c865bc5f454e04e2ae27ab092f0ca","abstract_canon_sha256":"75c88daabd93e0bbce87a92676ace4d556916272074937159d38bf0d3d19dd39"},"schema_version":"1.0"},"canonical_sha256":"0f0d376fcbf046ff227563fa2786c607710ea47097f7c6453ed761d5d7b282ee","source":{"kind":"arxiv","id":"2410.20290","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.20290","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"arxiv_version","alias_value":"2410.20290v2","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.20290","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"pith_short_12","alias_value":"B4GTO36L6BDP","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"pith_short_16","alias_value":"B4GTO36L6BDP6ITV","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"pith_short_8","alias_value":"B4GTO36L","created_at":"2026-07-05T09:29:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:B4GTO36L6BDP6ITVMP5CPBWGA5","target":"record","payload":{"canonical_record":{"source":{"id":"2410.20290","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-26T23:20:48Z","cross_cats_sorted":[],"title_canon_sha256":"1b00b7e65452391913fdad6947a85b98a84c865bc5f454e04e2ae27ab092f0ca","abstract_canon_sha256":"75c88daabd93e0bbce87a92676ace4d556916272074937159d38bf0d3d19dd39"},"schema_version":"1.0"},"canonical_sha256":"0f0d376fcbf046ff227563fa2786c607710ea47097f7c6453ed761d5d7b282ee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:29:34.799516Z","signature_b64":"Bt1chLI8n99x8JyjBPEnULXlBn9/a/bTuDtKfW3Cm+aS0imYHCwe2rox2/2nCbZLQvT/W4EtzUOioRVyd/6EDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f0d376fcbf046ff227563fa2786c607710ea47097f7c6453ed761d5d7b282ee","last_reissued_at":"2026-07-05T09:29:34.799027Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:29:34.799027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.20290","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:29:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Pj1u7XUXlcCx0uCTh1R40NJL1Z3+GBOkrQhIP2CL1vh09+qH7bqSGWh7nmB7XxV2/nG9izWsNlnrZ6TIioZDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:14:41.771086Z"},"content_sha256":"635f6256aeeb1956d8c2ccb7e59ca45bc508ec8b3034b540b71c1caa87d7cae9","schema_version":"1.0","event_id":"sha256:635f6256aeeb1956d8c2ccb7e59ca45bc508ec8b3034b540b71c1caa87d7cae9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:B4GTO36L6BDP6ITVMP5CPBWGA5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast Best-of-N Decoding via Speculative Rejection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andrea Zanette, Hanshi Sun, Huitao Yang, Jiahao Qiu, Mengdi Wang, Ming Yin, Momin Haider, Peter Bartlett, Ruiqi Zhang","submitted_at":"2024-10-26T23:20:48Z","abstract_excerpt":"The safe and effective deployment of Large Language Models (LLMs) involves a critical step called alignment, which ensures that the model's responses are in accordance with human preferences. Prevalent alignment techniques, such as DPO, PPO and their variants, align LLMs by changing the pre-trained model weights during a phase called post-training. While predominant, these post-training methods add substantial complexity before LLMs can be deployed. Inference-time alignment methods avoid the complex post-training step and instead bias the generation towards responses that are aligned with huma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.20290","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/2410.20290/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":"2026-07-05T09:29:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tXT6Kkt62y9C2Hp9aDDrISUvYQfTrX0nYji64mNmtR0ii7PR6pMy7CTR4JzxoqkynF2R/yzxyLDwr1YtF+NlDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:14:41.772439Z"},"content_sha256":"973ac2e9d9689e258ead673e90593afbb0458b5fbbc7bb4461981979f6ef2d44","schema_version":"1.0","event_id":"sha256:973ac2e9d9689e258ead673e90593afbb0458b5fbbc7bb4461981979f6ef2d44"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B4GTO36L6BDP6ITVMP5CPBWGA5/bundle.json","state_url":"https://pith.science/pith/B4GTO36L6BDP6ITVMP5CPBWGA5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B4GTO36L6BDP6ITVMP5CPBWGA5/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":"2026-08-07T19:14:41Z","links":{"resolver":"https://pith.science/pith/B4GTO36L6BDP6ITVMP5CPBWGA5","bundle":"https://pith.science/pith/B4GTO36L6BDP6ITVMP5CPBWGA5/bundle.json","state":"https://pith.science/pith/B4GTO36L6BDP6ITVMP5CPBWGA5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B4GTO36L6BDP6ITVMP5CPBWGA5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:B4GTO36L6BDP6ITVMP5CPBWGA5","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":"75c88daabd93e0bbce87a92676ace4d556916272074937159d38bf0d3d19dd39","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-26T23:20:48Z","title_canon_sha256":"1b00b7e65452391913fdad6947a85b98a84c865bc5f454e04e2ae27ab092f0ca"},"schema_version":"1.0","source":{"id":"2410.20290","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.20290","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"arxiv_version","alias_value":"2410.20290v2","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.20290","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"pith_short_12","alias_value":"B4GTO36L6BDP","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"pith_short_16","alias_value":"B4GTO36L6BDP6ITV","created_at":"2026-07-05T09:29:34Z"},{"alias_kind":"pith_short_8","alias_value":"B4GTO36L","created_at":"2026-07-05T09:29:34Z"}],"graph_snapshots":[{"event_id":"sha256:973ac2e9d9689e258ead673e90593afbb0458b5fbbc7bb4461981979f6ef2d44","target":"graph","created_at":"2026-07-05T09:29:34Z","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/2410.20290/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The safe and effective deployment of Large Language Models (LLMs) involves a critical step called alignment, which ensures that the model's responses are in accordance with human preferences. Prevalent alignment techniques, such as DPO, PPO and their variants, align LLMs by changing the pre-trained model weights during a phase called post-training. While predominant, these post-training methods add substantial complexity before LLMs can be deployed. Inference-time alignment methods avoid the complex post-training step and instead bias the generation towards responses that are aligned with huma","authors_text":"Andrea Zanette, Hanshi Sun, Huitao Yang, Jiahao Qiu, Mengdi Wang, Ming Yin, Momin Haider, Peter Bartlett, Ruiqi Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-26T23:20:48Z","title":"Fast Best-of-N Decoding via Speculative Rejection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.20290","kind":"arxiv","version":2},"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":"sha256:635f6256aeeb1956d8c2ccb7e59ca45bc508ec8b3034b540b71c1caa87d7cae9","target":"record","created_at":"2026-07-05T09:29:34Z","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":"75c88daabd93e0bbce87a92676ace4d556916272074937159d38bf0d3d19dd39","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-26T23:20:48Z","title_canon_sha256":"1b00b7e65452391913fdad6947a85b98a84c865bc5f454e04e2ae27ab092f0ca"},"schema_version":"1.0","source":{"id":"2410.20290","kind":"arxiv","version":2}},"canonical_sha256":"0f0d376fcbf046ff227563fa2786c607710ea47097f7c6453ed761d5d7b282ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f0d376fcbf046ff227563fa2786c607710ea47097f7c6453ed761d5d7b282ee","first_computed_at":"2026-07-05T09:29:34.799027Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:29:34.799027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bt1chLI8n99x8JyjBPEnULXlBn9/a/bTuDtKfW3Cm+aS0imYHCwe2rox2/2nCbZLQvT/W4EtzUOioRVyd/6EDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:29:34.799516Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.20290","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:635f6256aeeb1956d8c2ccb7e59ca45bc508ec8b3034b540b71c1caa87d7cae9","sha256:973ac2e9d9689e258ead673e90593afbb0458b5fbbc7bb4461981979f6ef2d44"],"state_sha256":"d04751975d2c3757c20d63485fc6c31b049f2ab195af64b541ab991b9741fd8a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ex8at2Y6UY+1szLVWkde6IQrb2K+yvmoUUDwrJ2xYK/DVV4afl5ULLMmRIekVC7DRnEuSMjxux9A3DcpQ3jFDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T19:14:41.791779Z","bundle_sha256":"ba99a4c23e22b773c2cb3727bc08acd23f0291008dacfdfba3af1bd659bf1244"}}