{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZQLPUQXL7C7UI6DK6ERXM7JIBX","short_pith_number":"pith:ZQLPUQXL","canonical_record":{"source":{"id":"2508.08895","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T12:35:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a26d8a99850e987d26434e7993a2394c6d88acfcfe85b4bbdd61be74e74f4572","abstract_canon_sha256":"26235565eb98dfdb5fce7caef5993e60833be0d3e63c5d06f8f2b9eb92ec6d5c"},"schema_version":"1.0"},"canonical_sha256":"cc16fa42ebf8bf44786af123767d280deeb05f946dee794877a6fd09ac337b33","source":{"kind":"arxiv","id":"2508.08895","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.08895","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"arxiv_version","alias_value":"2508.08895v2","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08895","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_12","alias_value":"ZQLPUQXL7C7U","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_16","alias_value":"ZQLPUQXL7C7UI6DK","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_8","alias_value":"ZQLPUQXL","created_at":"2026-07-05T11:53:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZQLPUQXL7C7UI6DK6ERXM7JIBX","target":"record","payload":{"canonical_record":{"source":{"id":"2508.08895","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T12:35:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a26d8a99850e987d26434e7993a2394c6d88acfcfe85b4bbdd61be74e74f4572","abstract_canon_sha256":"26235565eb98dfdb5fce7caef5993e60833be0d3e63c5d06f8f2b9eb92ec6d5c"},"schema_version":"1.0"},"canonical_sha256":"cc16fa42ebf8bf44786af123767d280deeb05f946dee794877a6fd09ac337b33","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:53:50.659279Z","signature_b64":"4bH7fuho3eTH73USGZ2pseYFAp6L7l/xNkRB7Tc93UPONpbSKazI6soCjM+R32IeaPHjWdGIGsWTXXjk9f/LCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc16fa42ebf8bf44786af123767d280deeb05f946dee794877a6fd09ac337b33","last_reissued_at":"2026-07-05T11:53:50.658739Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:53:50.658739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.08895","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":"2026-07-05T11:53:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bChi9w/KuoTqKf86Gc7zaXMsPTflzQpNe4NL5aABrtexDygqx1QciNKuRthdzZuU13sS+7Dp0wTEvyfBS0u4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T00:36:27.186574Z"},"content_sha256":"fce7862bb0bee7b05422aaceafaf21c75127c8a9fcd7b04833f6838607f2fd48","schema_version":"1.0","event_id":"sha256:fce7862bb0bee7b05422aaceafaf21c75127c8a9fcd7b04833f6838607f2fd48"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZQLPUQXL7C7UI6DK6ERXM7JIBX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ASPD: Unlocking Adaptive Serial-Parallel Decoding by Exploring Intrinsic Parallelism in LLMs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Daohai Yu, Haoqian Wu, Jianfeng He, Keyu Chen, Ruizhi Qiao, Wei Wen, Xing Sun, Zhifeng Shen","submitted_at":"2025-08-12T12:35:55Z","abstract_excerpt":"The increasing scale and complexity of large language models (LLMs) pose significant inference latency challenges, primarily due to their autoregressive decoding paradigm characterized by the sequential nature of next-token prediction. By re-examining the outputs of autoregressive models, we observed that some segments exhibit parallelizable structures, which we term intrinsic parallelism. Decoding each parallelizable branch simultaneously (i.e. parallel decoding) can significantly improve the overall inference speed of LLMs. In this paper, we propose an Adaptive Serial-Parallel Decoding (ASPD"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08895","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/2508.08895/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":"2026-07-05T11:53:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hGLHwCl6rpucMMToSX75pXBiHjqAtarOQwMwcDEE+JluinrF/wIlVVBmKeLyRGNMXEECg/3uPerb7J6JxW6ABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T00:36:27.186973Z"},"content_sha256":"584ca54c2c912dc551db4ca4b5f6a0cdee629eb2dd12f441feaa861443bd5eeb","schema_version":"1.0","event_id":"sha256:584ca54c2c912dc551db4ca4b5f6a0cdee629eb2dd12f441feaa861443bd5eeb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZQLPUQXL7C7UI6DK6ERXM7JIBX/bundle.json","state_url":"https://pith.science/pith/ZQLPUQXL7C7UI6DK6ERXM7JIBX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZQLPUQXL7C7UI6DK6ERXM7JIBX/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":"2026-07-13T00:36:27Z","links":{"resolver":"https://pith.science/pith/ZQLPUQXL7C7UI6DK6ERXM7JIBX","bundle":"https://pith.science/pith/ZQLPUQXL7C7UI6DK6ERXM7JIBX/bundle.json","state":"https://pith.science/pith/ZQLPUQXL7C7UI6DK6ERXM7JIBX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZQLPUQXL7C7UI6DK6ERXM7JIBX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZQLPUQXL7C7UI6DK6ERXM7JIBX","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":"26235565eb98dfdb5fce7caef5993e60833be0d3e63c5d06f8f2b9eb92ec6d5c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T12:35:55Z","title_canon_sha256":"a26d8a99850e987d26434e7993a2394c6d88acfcfe85b4bbdd61be74e74f4572"},"schema_version":"1.0","source":{"id":"2508.08895","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.08895","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"arxiv_version","alias_value":"2508.08895v2","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08895","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_12","alias_value":"ZQLPUQXL7C7U","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_16","alias_value":"ZQLPUQXL7C7UI6DK","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_8","alias_value":"ZQLPUQXL","created_at":"2026-07-05T11:53:50Z"}],"graph_snapshots":[{"event_id":"sha256:584ca54c2c912dc551db4ca4b5f6a0cdee629eb2dd12f441feaa861443bd5eeb","target":"graph","created_at":"2026-07-05T11:53:50Z","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/2508.08895/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing scale and complexity of large language models (LLMs) pose significant inference latency challenges, primarily due to their autoregressive decoding paradigm characterized by the sequential nature of next-token prediction. By re-examining the outputs of autoregressive models, we observed that some segments exhibit parallelizable structures, which we term intrinsic parallelism. Decoding each parallelizable branch simultaneously (i.e. parallel decoding) can significantly improve the overall inference speed of LLMs. In this paper, we propose an Adaptive Serial-Parallel Decoding (ASPD","authors_text":"Daohai Yu, Haoqian Wu, Jianfeng He, Keyu Chen, Ruizhi Qiao, Wei Wen, Xing Sun, Zhifeng Shen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T12:35:55Z","title":"ASPD: Unlocking Adaptive Serial-Parallel Decoding by Exploring Intrinsic Parallelism in LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08895","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:fce7862bb0bee7b05422aaceafaf21c75127c8a9fcd7b04833f6838607f2fd48","target":"record","created_at":"2026-07-05T11:53:50Z","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":"26235565eb98dfdb5fce7caef5993e60833be0d3e63c5d06f8f2b9eb92ec6d5c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-08-12T12:35:55Z","title_canon_sha256":"a26d8a99850e987d26434e7993a2394c6d88acfcfe85b4bbdd61be74e74f4572"},"schema_version":"1.0","source":{"id":"2508.08895","kind":"arxiv","version":2}},"canonical_sha256":"cc16fa42ebf8bf44786af123767d280deeb05f946dee794877a6fd09ac337b33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc16fa42ebf8bf44786af123767d280deeb05f946dee794877a6fd09ac337b33","first_computed_at":"2026-07-05T11:53:50.658739Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:53:50.658739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4bH7fuho3eTH73USGZ2pseYFAp6L7l/xNkRB7Tc93UPONpbSKazI6soCjM+R32IeaPHjWdGIGsWTXXjk9f/LCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:53:50.659279Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.08895","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fce7862bb0bee7b05422aaceafaf21c75127c8a9fcd7b04833f6838607f2fd48","sha256:584ca54c2c912dc551db4ca4b5f6a0cdee629eb2dd12f441feaa861443bd5eeb"],"state_sha256":"a1a8b52e231c1ef13dc9679f4ce87ae75ccce681641c654d4f16a2457f783260"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4U2nSrAyuR/SoNirHd4+wWpfzJnq+Pek8eOk4bioc1Y3xA7No2FPxHRhtF5MHjmatDUObUUc4BHTb6PqcGLQAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T00:36:27.189506Z","bundle_sha256":"4ea5e3a61dae7d6df69ec58f90af9427aaab4277147dd7d9c58d39ae020518bd"}}