{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5WJSJXES7KZFTCKMZRAKHR7PDV","short_pith_number":"pith:5WJSJXES","canonical_record":{"source":{"id":"2406.13170","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-19T02:53:39Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"010ee33201a18853aa0ceb726d5a8f615a528a481616f06dc2cbbd765085e1ca","abstract_canon_sha256":"57e66f1ed660926a1a1e5d771f973c8762aee4ee971df23119c408746b479931"},"schema_version":"1.0"},"canonical_sha256":"ed9324dc92fab259894ccc40a3c7ef1d5512d67b7b1a5634f0565f485599fb80","source":{"kind":"arxiv","id":"2406.13170","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.13170","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"arxiv_version","alias_value":"2406.13170v2","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.13170","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"pith_short_12","alias_value":"5WJSJXES7KZF","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"pith_short_16","alias_value":"5WJSJXES7KZFTCKM","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"pith_short_8","alias_value":"5WJSJXES","created_at":"2026-07-05T09:22:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5WJSJXES7KZFTCKMZRAKHR7PDV","target":"record","payload":{"canonical_record":{"source":{"id":"2406.13170","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-19T02:53:39Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"010ee33201a18853aa0ceb726d5a8f615a528a481616f06dc2cbbd765085e1ca","abstract_canon_sha256":"57e66f1ed660926a1a1e5d771f973c8762aee4ee971df23119c408746b479931"},"schema_version":"1.0"},"canonical_sha256":"ed9324dc92fab259894ccc40a3c7ef1d5512d67b7b1a5634f0565f485599fb80","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:19.777328Z","signature_b64":"2hfRYU5ZgpjR/g5COJJjjMhH0WbOFzmCnZ37Xk8g7CTHcrWLPkkW40rE9gDgVfyTfnaw38GFBqVtAclPRKbDCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed9324dc92fab259894ccc40a3c7ef1d5512d67b7b1a5634f0565f485599fb80","last_reissued_at":"2026-07-05T09:22:19.776820Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:19.776820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.13170","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":"2026-07-05T09:22:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KGLuHdaYr2W+6wNDF7ORTc8zZOt+dyAIIIxZBtoMX+xPsLKm8uvACDXhMhHhQTrabgJzyYfd8iDK2sFrILk6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:24:49.757938Z"},"content_sha256":"efddc009aaafd03f5ea251cc5233573956467cba0c93bd7d1690a7d3ea3f857d","schema_version":"1.0","event_id":"sha256:efddc009aaafd03f5ea251cc5233573956467cba0c93bd7d1690a7d3ea3f857d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5WJSJXES7KZFTCKMZRAKHR7PDV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Dong Li, Emad Barsoum, Guanchen Li, Ji Liu, Jinzhang Peng, Lu Tian, Xinlong Yang, Zeping Li, Zhuang Liu, Ziheng Gao","submitted_at":"2024-06-19T02:53:39Z","abstract_excerpt":"Large Language Models (LLMs) inherently use autoregressive decoding, which lacks parallelism in inference and results in significantly slow inference speed. While methods such as Medusa constructs parallelized heads, they lack adequate information interaction across different prediction positions. To overcome this limitation, we introduce Amphista, an enhanced speculative decoding framework that builds upon Medusa. Specifically, Amphista models an Auto-embedding Block capable of parallel inference, incorporating bi-directional attention to enable interaction between different drafting heads. A"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.13170","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/2406.13170/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":"2026-07-05T09:22:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZQud0OAZUWk6b06+lSMLgYJIk9DLj7TCM+0pSnucjKju9C/YpnuH1qjKW1EHFLrhgyYvKGEKN/9NX7lq72VoAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:24:49.758308Z"},"content_sha256":"ca4259095ff05fdfbfc4306ec2dda6478d17b8c41a57d018ffc952e6e7613ce3","schema_version":"1.0","event_id":"sha256:ca4259095ff05fdfbfc4306ec2dda6478d17b8c41a57d018ffc952e6e7613ce3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5WJSJXES7KZFTCKMZRAKHR7PDV/bundle.json","state_url":"https://pith.science/pith/5WJSJXES7KZFTCKMZRAKHR7PDV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5WJSJXES7KZFTCKMZRAKHR7PDV/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":"2026-07-08T16:24:49Z","links":{"resolver":"https://pith.science/pith/5WJSJXES7KZFTCKMZRAKHR7PDV","bundle":"https://pith.science/pith/5WJSJXES7KZFTCKMZRAKHR7PDV/bundle.json","state":"https://pith.science/pith/5WJSJXES7KZFTCKMZRAKHR7PDV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5WJSJXES7KZFTCKMZRAKHR7PDV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5WJSJXES7KZFTCKMZRAKHR7PDV","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":"57e66f1ed660926a1a1e5d771f973c8762aee4ee971df23119c408746b479931","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-19T02:53:39Z","title_canon_sha256":"010ee33201a18853aa0ceb726d5a8f615a528a481616f06dc2cbbd765085e1ca"},"schema_version":"1.0","source":{"id":"2406.13170","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.13170","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"arxiv_version","alias_value":"2406.13170v2","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.13170","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"pith_short_12","alias_value":"5WJSJXES7KZF","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"pith_short_16","alias_value":"5WJSJXES7KZFTCKM","created_at":"2026-07-05T09:22:19Z"},{"alias_kind":"pith_short_8","alias_value":"5WJSJXES","created_at":"2026-07-05T09:22:19Z"}],"graph_snapshots":[{"event_id":"sha256:ca4259095ff05fdfbfc4306ec2dda6478d17b8c41a57d018ffc952e6e7613ce3","target":"graph","created_at":"2026-07-05T09:22:19Z","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/2406.13170/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) inherently use autoregressive decoding, which lacks parallelism in inference and results in significantly slow inference speed. While methods such as Medusa constructs parallelized heads, they lack adequate information interaction across different prediction positions. To overcome this limitation, we introduce Amphista, an enhanced speculative decoding framework that builds upon Medusa. Specifically, Amphista models an Auto-embedding Block capable of parallel inference, incorporating bi-directional attention to enable interaction between different drafting heads. A","authors_text":"Dong Li, Emad Barsoum, Guanchen Li, Ji Liu, Jinzhang Peng, Lu Tian, Xinlong Yang, Zeping Li, Zhuang Liu, Ziheng Gao","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-19T02:53:39Z","title":"Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.13170","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:efddc009aaafd03f5ea251cc5233573956467cba0c93bd7d1690a7d3ea3f857d","target":"record","created_at":"2026-07-05T09:22:19Z","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":"57e66f1ed660926a1a1e5d771f973c8762aee4ee971df23119c408746b479931","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-19T02:53:39Z","title_canon_sha256":"010ee33201a18853aa0ceb726d5a8f615a528a481616f06dc2cbbd765085e1ca"},"schema_version":"1.0","source":{"id":"2406.13170","kind":"arxiv","version":2}},"canonical_sha256":"ed9324dc92fab259894ccc40a3c7ef1d5512d67b7b1a5634f0565f485599fb80","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed9324dc92fab259894ccc40a3c7ef1d5512d67b7b1a5634f0565f485599fb80","first_computed_at":"2026-07-05T09:22:19.776820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:19.776820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2hfRYU5ZgpjR/g5COJJjjMhH0WbOFzmCnZ37Xk8g7CTHcrWLPkkW40rE9gDgVfyTfnaw38GFBqVtAclPRKbDCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:19.777328Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.13170","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:efddc009aaafd03f5ea251cc5233573956467cba0c93bd7d1690a7d3ea3f857d","sha256:ca4259095ff05fdfbfc4306ec2dda6478d17b8c41a57d018ffc952e6e7613ce3"],"state_sha256":"c67651ca1de5fca1017b0fca5dfbd01ead58f304013d1c9e5388234958f45cfb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K9ssVD5Qzgl9CZldMwjAjkgc/ZCOrHm50TwZ37MbSMmdSUlW7WSsyMECrBDdB8duJXIYHFbm02fdIVAdPTFXCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T16:24:49.760286Z","bundle_sha256":"2b94d41520c42cba92572c5296530c790b7eb634022aa69abf046fdf06328be9"}}