{"as_of":"2026-08-08T16:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4c85550b02af590c9177f4fe5eba3a3826c808629c77f86d5c7b1a545cc8e6d8","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:22:46.965704Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.14158/citation-record","integrity":"/paper/2506.14158/integrity","json":"/paper/2506.14158/citation-record.json","paper":"/paper/2506.14158"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T00:22:43.998011Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:43.998011Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:97aa3a8f5f4fb5cf47362fc7e774dc3427cbbe76ca2bbdb1272a554e245528fc","observation_id":"7245d731-5eb1-48b2-88d1-d2c65734cc8a","resolution":{"observed_at":"2026-08-07T00:22:43.998011Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05109","last_updated":"2024-10-07T16:21:29Z","snapshot_observed_at":"2026-08-03T23:07:15.667650Z","submitted_at":"2024-02-07T18:58:50Z","title":"Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05109","snapshot_observed_at":"2026-08-07T00:22:44.062349Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.062349Z"},"links":{"cited_paper":"/paper/2402.05109","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:c9a54c010752a7508c9bed6e7495e739ee4852ed7684d4e189a30c03d3f7595f","observation_id":"ccc51f7f-7bd2-4213-8c13-e50e1c798c96","resolution":{"observed_at":"2026-08-07T00:22:44.062349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10774","last_updated":"2024-06-14T23:32:32Z","snapshot_observed_at":"2026-07-06T17:17:56.276857Z","submitted_at":"2024-01-19T15:48:40Z","title":"Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10774","snapshot_observed_at":"2026-08-07T00:22:44.130288Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.130288Z"},"links":{"cited_paper":"/paper/2401.10774","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:b6cef2c29dc6e0aa45f9fe73a3e393f05739f1ce33f48af07c70b57124cc41d3","observation_id":"00541903-e902-4fa5-bacf-e861431f856f","resolution":{"observed_at":"2026-08-07T00:22:44.130288Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01318","last_updated":"2023-02-02T18:44:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-02T18:44:11Z","title":"Accelerating Large Language Model Decoding with Speculative Sampling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01318","snapshot_observed_at":"2026-08-07T00:22:44.223292Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.223292Z"},"links":{"cited_paper":"/paper/2302.01318","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:43a9a09e43cc2ffd808022756a1e7d10e8cf436e0f32a194e76c32b0af41bede","observation_id":"e767e7b3-00ac-4a2c-9822-91c359141ad8","resolution":{"observed_at":"2026-08-07T00:22:44.223292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:44.333907Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.333907Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:cb386edfbe1b4e1a1cb179fc056871cf7aac39655cf809b0d9b7617223f2a5be","observation_id":"5c309f75-770e-4554-9ea9-65780385bb7a","resolution":{"observed_at":"2026-08-07T00:22:44.333907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-07T00:22:44.475207Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.475207Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:0d582906a3c6745aa405e96d4e10714184a6b1171f3a59afa506b46ff6769bec","observation_id":"1a1daf74-78e1-4efd-b841-b698e3a3e286","resolution":{"observed_at":"2026-08-07T00:22:44.475207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02057","last_updated":"2024-02-03T06:37:50Z","snapshot_observed_at":"2026-08-07T21:53:50.848655Z","submitted_at":"2024-02-03T06:37:50Z","title":"Break the Sequential Dependency of LLM Inference Using Lookahead Decoding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02057","snapshot_observed_at":"2026-08-07T00:22:44.539645Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.539645Z"},"links":{"cited_paper":"/paper/2402.02057","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:477c2830cf8bd3228914063ffaa9cc4f338705cbc098974fc25b5f7c46843f73","observation_id":"b544baf3-a714-4c4d-b7e8-c31ffbd3353b","resolution":{"observed_at":"2026-08-07T00:22:44.539645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08252","last_updated":"2024-04-04T11:37:01Z","snapshot_observed_at":"2026-07-06T16:47:24.765597Z","submitted_at":"2023-11-14T15:43:47Z","title":"REST: Retrieval-Based Speculative Decoding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08252","snapshot_observed_at":"2026-08-07T00:22:44.600490Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.600490Z"},"links":{"cited_paper":"/paper/2311.08252","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:a88a62c764d26f4ce22487f944ae95c62021bb37e253714fe97ef00ea3013ea4","observation_id":"d5b6532d-6532-4610-bd1f-2b4119195c19","resolution":{"observed_at":"2026-08-07T00:22:44.600490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12072","last_updated":"2024-01-03T00:32:43Z","snapshot_observed_at":"2026-07-06T16:35:07.121479Z","submitted_at":"2023-10-18T16:07:01Z","title":"SPEED: Speculative Pipelined Execution for Efficient Decoding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12072","snapshot_observed_at":"2026-08-07T00:22:44.720990Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.720990Z"},"links":{"cited_paper":"/paper/2310.12072","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:f43ada9d7dea898055e4a9e88118dc2ffe3f115f53fb59028f7d891d500cd6ba","observation_id":"b8da5858-9e66-4f1f-b009-45da1b65a076","resolution":{"observed_at":"2026-08-07T00:22:44.720990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-07T00:22:44.826697Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.826697Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:267647e7b2603d7d160cceb1be12fc597cd1e9b3ab802f8686b9d39e4e04f988","observation_id":"97843b58-26ab-4881-b93b-c5d44409d96e","resolution":{"observed_at":"2026-08-07T00:22:44.826697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.04906","last_updated":"2020-09-30T21:27:13Z","snapshot_observed_at":"2026-07-06T09:11:26.109763Z","submitted_at":"2020-04-10T04:53:17Z","title":"Dense Passage Retrieval for Open-Domain Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.04906","snapshot_observed_at":"2026-08-07T00:22:44.904611Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:44.904611Z"},"links":{"cited_paper":"/paper/2004.04906","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:b05535fa89b97e127819aaabfad2e43d6fb5ca1ae4da05799e44bc68e3a54205","observation_id":"4ff27cb6-9f46-418f-83cb-556893653688","resolution":{"observed_at":"2026-08-07T00:22:44.904611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:45.005725Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.005725Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:4d5845278005801736bea3fd1680653213360fd37b6f312f868758a16c1c3a44","observation_id":"2b00ef46-e821-46b8-838b-816a089b61b8","resolution":{"observed_at":"2026-08-07T00:22:45.005725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:45.085160Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.085160Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:bcd6838b8f29105ea433128b30f55674a955cc0fa094f7fb7559fa177e8e9f25","observation_id":"cea8218e-5416-4db8-940e-0d4e66f0e957","resolution":{"observed_at":"2026-08-07T00:22:45.085160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16858","last_updated":"2024-06-30T15:03:25Z","snapshot_observed_at":"2026-07-06T18:36:12.298104Z","submitted_at":"2024-06-24T17:59:11Z","title":"EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16858","snapshot_observed_at":"2026-08-07T00:22:45.195971Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.195971Z"},"links":{"cited_paper":"/paper/2406.16858","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:12a5f1591898c54936e3f797db43554cca100bccc6d005a77cc1d1640df66608","observation_id":"4d2a22e7-9de4-4174-87e8-80c93b740aed","resolution":{"observed_at":"2026-08-07T00:22:45.195971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15077","last_updated":"2025-03-04T13:58:39Z","snapshot_observed_at":"2026-08-03T09:40:31.365295Z","submitted_at":"2024-01-26T18:59:01Z","title":"EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.15077","snapshot_observed_at":"2026-08-07T00:22:45.314304Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.314304Z"},"links":{"cited_paper":"/paper/2401.15077","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:bcfcd5e0c3335d606464187fb663a774be0887fa3e71d8030dfe4a84bbb8743c","observation_id":"73836c97-a266-49f8-8b9c-30a32a6f8920","resolution":{"observed_at":"2026-08-07T00:22:45.314304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:48.371207Z","title":null,"venue":null,"work_id":"b2905eec-315c-4d9f-9d98-ae23e5b9f9b4","year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.457587Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:5aaeaa7f6a3839cbea5843398c3eccedaaab06a5e645999fe2a53fd768d7447e","observation_id":"63f906ea-736e-4915-af1d-cb791ffb70e1","resolution":{"observed_at":"2026-08-07T00:22:48.497676Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.13581","last_updated":"2023-11-22T18:37:27Z","snapshot_observed_at":"2026-07-06T16:51:15.252642Z","submitted_at":"2023-11-22T18:37:27Z","title":"PaSS: Parallel Speculative Sampling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.13581","snapshot_observed_at":"2026-08-07T00:22:45.511201Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.511201Z"},"links":{"cited_paper":"/paper/2311.13581","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:daab03d21d0cb763f187ffb5c0291e1e1ac46d325dc50b18e1aa91aeb7874adb","observation_id":"e64d2eff-7504-41fb-8c7d-243c520d0350","resolution":{"observed_at":"2026-08-07T00:22:45.511201Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1602.06023","last_updated":"2016-08-26T16:13:13Z","snapshot_observed_at":"2026-07-30T19:30:50.474373Z","submitted_at":"2016-02-19T02:04:18Z","title":"Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.06023","snapshot_observed_at":"2026-08-07T00:22:45.603082Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.603082Z"},"links":{"cited_paper":"/paper/1602.06023","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:278a266c28ade54fccf65949dcc98673265794d8ac465ff9ea1b665085d0f682","observation_id":"d7f0c4e9-b26d-4156-b18b-148b0e74b36d","resolution":{"observed_at":"2026-08-07T00:22:45.603082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:45.665389Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.665389Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:90d63af1b18022d34f811ab0d3d4dfcfd153304cefecab11b3b5c4e5d2c2d802","observation_id":"10c73851-c493-4327-bb0e-1d1132f931b0","resolution":{"observed_at":"2026-08-07T00:22:45.665389Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:48.141076Z","title":null,"venue":null,"work_id":"7989d8a7-cb00-493e-8d4b-96b5cdedc230","year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.756434Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:4638f0f6c0e14084bf66bffeeb8a542ec680cb6fb073789103bbf30f19334764","observation_id":"c85f31c3-40ef-4617-a385-ebb761808898","resolution":{"observed_at":"2026-08-07T00:22:48.277353Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04623","last_updated":"2023-08-08T23:29:55Z","snapshot_observed_at":"2026-08-06T06:50:01.972045Z","submitted_at":"2023-08-08T23:29:55Z","title":"Accelerating LLM Inference with Staged Speculative Decoding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.04623","snapshot_observed_at":"2026-08-07T00:22:45.833905Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.833905Z"},"links":{"cited_paper":"/paper/2308.04623","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:8f83941238366f0c2abd5b58f96c49c6722f72b16ad780960bd728bbe4e5438b","observation_id":"ba4d1923-21af-4796-986d-ee87f5b93b1c","resolution":{"observed_at":"2026-08-07T00:22:45.833905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:47.929637Z","title":null,"venue":null,"work_id":"c6a75a81-d5f9-4a52-8fa0-a40abcdd577c","year":2018},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:45.934858Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:016a4dfa7230ab7f7d436842fb4d61189f4f502a2e21babedda64fc49211c87b","observation_id":"c10443bd-c593-48b2-857b-409e5e29f071","resolution":{"observed_at":"2026-08-07T00:22:48.025984Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:47.763378Z","title":null,"venue":null,"work_id":"fb7700f5-39a7-4b71-bf51-61a7652d7e71","year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.058446Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:1ad4a4fec97aa492b12aa8323fc23bdddbd650a16f160aa73d7b618951831309","observation_id":"efd5d4f9-01ac-4d58-bf3e-b2774ccc08de","resolution":{"observed_at":"2026-08-07T00:22:47.802881Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-07T00:22:46.158687Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.158687Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:09def17df5c811cb1de64414501f66f6d62f8560af19d2ae1c8bffe4d0937a4e","observation_id":"7b524217-c1cb-405e-82c8-c4874c75dd62","resolution":{"observed_at":"2026-08-07T00:22:46.158687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-07T00:22:46.242097Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.242097Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:e7083e3bf4118327d6f119f8bd8f6ec9a4237fad8837077abcbc5c8278ccbec2","observation_id":"5720416c-f55d-4a0f-b1c9-6904ea0656d0","resolution":{"observed_at":"2026-08-07T00:22:46.242097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:47.490218Z","title":null,"venue":null,"work_id":"ab8e1cd4-80c0-4854-868f-40a101c810fc","year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.326971Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:cabbbd98076b90988e6a3f209292a854d02fd403a6635e274dd27a2e37c80aa1","observation_id":"80f9c845-a820-4c72-badf-0bf578ca5563","resolution":{"observed_at":"2026-08-07T00:22:47.632647Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.07851","last_updated":"2024-06-04T17:08:37Z","snapshot_observed_at":"2026-07-06T17:15:46.395218Z","submitted_at":"2024-01-15T17:26:50Z","title":"Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.07851","snapshot_observed_at":"2026-08-07T00:22:46.418338Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.418338Z"},"links":{"cited_paper":"/paper/2401.07851","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:391f98a97320601688e0c600617485ba582d255835bff72b0807d1e84ef1ed7f","observation_id":"03a5e258-919c-4c63-9356-739963217701","resolution":{"observed_at":"2026-08-07T00:22:46.418338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:47.265219Z","title":null,"venue":null,"work_id":"35300ecd-6fd9-4320-9878-38bb0d668512","year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.507038Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:989ad0792b88c0ce279f562b0e6adf19639001d2aa16896b5288c725cefc3eb6","observation_id":"66b98a8e-677c-46e7-8253-975df5c70e04","resolution":{"observed_at":"2026-08-07T00:22:47.355613Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:46.607769Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.607769Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:57c3651104fd8b6afbb86a30abfd28df92d7c5255a82760308f0e11d8686d5f5","observation_id":"a88cd367-faec-4479-a669-8b2da3eacccc","resolution":{"observed_at":"2026-08-07T00:22:46.607769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02385","last_updated":"2024-06-04T02:05:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-04T17:54:59Z","title":"TinyLlama: An Open-Source Small Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02385","snapshot_observed_at":"2026-08-07T00:22:46.675177Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.675177Z"},"links":{"cited_paper":"/paper/2401.02385","citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:4e55d9cd18274ac3f20f7f0e6fb9330e0bd1745e2f1172403de784425a365c6a","observation_id":"1b48e9a0-7b90-46d5-9a99-ff012a3ab3b5","resolution":{"observed_at":"2026-08-07T00:22:46.675177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:46.735597Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.735597Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:2c718e0a070b8d6e0b0a404c0be0e4ed5ba0e5c22a58c7ad44e5d7400f6e58db","observation_id":"355bd9d1-4b1c-4412-a491-d6e4e095febf","resolution":{"observed_at":"2026-08-07T00:22:46.735597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:46.860882Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.860882Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:ac0c50161c6687601a0a61bcd3aff4434af6c316ea8ea11f593afe8416f2653e","observation_id":"12db3a0c-44d2-4fff-9dcc-9a55e6fa5be7","resolution":{"observed_at":"2026-08-07T00:22:46.860882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:46.965704Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T00:22:46.965704Z"},"links":{"citing_paper":"/paper/2506.14158"},"observation_digest":"sha256:ae1dc115f371a0123d268dbf87f9a6191fc911a3972ca56264f6b23a5a13cc70","observation_id":"b979ec74-59fe-4aa8-8373-b0745b8ede14","resolution":{"observed_at":"2026-08-07T00:22:46.965704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.14158","last_updated":"2025-06-17T03:38:19Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T15:24:56.653089Z","submitted_at":"2025-06-17T03:38:19Z","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":33,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":33},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.14158."}