{"as_of":"2026-08-18T19:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6133bc29bd1cf47baa45d0d5ecde6b266032297c78b93b1e41dcf640ef42c80e","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:17:36.679840Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T05:55:19.083517Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T13:34:41.161097Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"cited_work":{"arxiv_id":"2505.02865","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.02865","snapshot_observed_at":"2026-06-30T13:34:41.161097Z","title":"arXiv preprint arXiv:2505.02865 (2025)","venue":null,"work_id":"7957ebbd-7c59-4bf0-9ffb-142838bc70b2","year":2025},"citing_paper":{"arxiv_id":"2606.30217","last_updated":"2026-06-29T12:30:24Z","snapshot_observed_at":"2026-08-03T23:12:01.383471Z","submitted_at":"2026-06-29T12:30:24Z","title":"Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-30T05:55:19.083517Z"},"links":{"cited_paper":"/paper/2505.02865","citing_paper":"/paper/2606.30217"},"observation_digest":"sha256:bdc421a18ef7be695425ec9de8a88668b9b7d15149aec52ac83020b948e68131","observation_id":"c7e5b31d-296c-4738-81e0-6c79ae103674","resolution":{"observed_at":"2026-06-30T13:34:41.162583Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.02865/citation-record","integrity":"/paper/2505.02865/integrity","json":"/paper/2505.02865/citation-record.json","paper":"/paper/2505.02865"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:17:36.519904Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.519904Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:993c943940787a20d5f1cd70cd0d79e88803d9d38e7bd151658eac2c414bcbfa","observation_id":"2491cfa3-c5b7-429e-804f-77b659300bad","resolution":{"observed_at":"2026-08-16T04:17:36.519904Z","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":"2026-08-16T04:17:37.533244Z","title":"The truncated normal distribution","venue":null,"work_id":"d2fc774e-57e7-4127-b2bc-543c78fabf6f","year":2014},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.525183Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:bde1fafb7d45ee29d2a3d01c52f7dfc4d17588e5a06b82c050d510550e265e2f","observation_id":"2c9ea060-1574-4996-ba58-2e74ab55d3a6","resolution":{"observed_at":"2026-08-16T04:17:37.536195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:36.529503Z","title":null,"venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.529503Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:918020206b8c74f8b28381c7f618a74e6e33abf00f1ea39f764de1b77fa643b6","observation_id":"ea954253-333c-4bd4-bbd8-028bf43c177a","resolution":{"observed_at":"2026-08-16T04:17:36.529503Z","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":"2026-08-13T23:55:57.074762Z","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":"2026-08-16T04:17:36.534033Z","title":"Accelerating large language model decoding with speculative sampling","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.534033Z"},"links":{"cited_paper":"/paper/2302.01318","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:1036f94394b67d6ff22107fa8eee39183d0c09fc4c6ad4c2395b690cb90556ae","observation_id":"8450e088-5a50-4e6c-87fc-4052b20744dd","resolution":{"observed_at":"2026-08-16T04:17:36.534033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03553","last_updated":"2024-09-27T08:16:28Z","snapshot_observed_at":"2026-08-16T13:55:00.373890Z","submitted_at":"2024-05-06T15:20:30Z","title":"AlphaMath Almost Zero: Process Supervision without Process","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03553","snapshot_observed_at":"2026-08-16T04:17:36.538029Z","title":"Alphamath almost zero: process supervision without process","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.538029Z"},"links":{"cited_paper":"/paper/2405.03553","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:a09c83fe2d187521cbe386e217090a797a9f06dd687816ece9c05bd39b1181d2","observation_id":"f33eacda-798f-42ac-8f44-00d30d9fd8ce","resolution":{"observed_at":"2026-08-16T04:17:36.538029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11462","last_updated":"2025-07-13T19:45:40Z","snapshot_observed_at":"2026-08-16T14:33:39.138288Z","submitted_at":"2023-12-18T18:59:46Z","title":"Cascade Speculative Drafting for Even Faster LLM Inference","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11462","snapshot_observed_at":"2026-08-16T04:17:36.542450Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.542450Z"},"links":{"cited_paper":"/paper/2312.11462","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:ca5493df1bc7ac08549c43875b73ec218056f042e9aa8fb900eb4172621e8c7e","observation_id":"ddcc36ca-767a-435b-9017-6b20126369aa","resolution":{"observed_at":"2026-08-16T04:17:36.542450Z","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":"2026-08-14T02:43:01.480086Z","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":"2026-08-16T04:17:36.546743Z","title":"Training verifiers to solve math word problems","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.546743Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:74b447987d5e04854d2285326cd124c418196f060fd1b93aaeac2e35aa9c367a","observation_id":"8f588b75-5aca-4a54-8aae-2923e08753f9","resolution":{"observed_at":"2026-08-16T04:17:36.546743Z","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":"2026-08-16T04:17:37.496973Z","title":"M., Kraaikamp, C., Lopuha \\\"a , H","venue":null,"work_id":"f45d8ab2-3aaa-4551-8b85-1b79ebe30728","year":2006},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.551567Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:eb1d7a1198253e3fa313ef5c23a9f01ac417071877adf673cd316b3281f70a17","observation_id":"e25702ef-99c0-460c-8810-65effde7b3ed","resolution":{"observed_at":"2026-08-16T04:17:37.526452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-16T04:17:36.555033Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.555033Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:71408d7d484646db653c3a2597917a7389bf7d05c1848117ab2f3088ae0732a9","observation_id":"a0ed5357-2dad-4cbd-8aff-76309c850a91","resolution":{"observed_at":"2026-08-16T04:17:36.555033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01707","last_updated":"2024-12-25T13:32:54Z","snapshot_observed_at":"2026-08-16T13:13:17.454194Z","submitted_at":"2024-10-02T16:15:31Z","title":"Interpretable Contrastive Monte Carlo Tree Search Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01707","snapshot_observed_at":"2026-08-16T04:17:36.558360Z","title":"Interpretable contrastive monte carlo tree search reasoning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.558360Z"},"links":{"cited_paper":"/paper/2410.01707","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:3cedf2746d99145847f189353392828283169b9633e95897092d2ed72c24ca84","observation_id":"bc78020e-7fe8-48ac-8a65-c1c9cc3469d3","resolution":{"observed_at":"2026-08-16T04:17:36.558360Z","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":"2026-08-16T04:17:37.461169Z","title":null,"venue":null,"work_id":"fdd7833c-2757-47ab-bbea-ce53f25bee7c","year":1998},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.562271Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:66cf4ad5cc625510bed631f9e89d1e77fee2cc539c8e58b2817e180f5449fb22","observation_id":"55cc3745-618c-48bf-8233-aed20ba401a4","resolution":{"observed_at":"2026-08-16T04:17:37.475894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:36.566470Z","title":"J., Wang, Z., Wang, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.566470Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:13d93a29bbe2c04ee42fd0e68361c02c71d799a21886318724e10ee872425a07","observation_id":"f1b1a405-18ae-4205-92c3-8920f6db70f8","resolution":{"observed_at":"2026-08-16T04:17:36.566470Z","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":"2026-08-16T04:17:37.303027Z","title":"Measuring mathematical problem solving with the MATH dataset","venue":null,"work_id":"2a7ac227-5de9-411a-bc37-d89c8bdf2d07","year":2021},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.570216Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:3537cc3f0a717aeada70e31a52013a59273e8dbae30f52679d3e862d8dfe9670","observation_id":"c727d476-62c3-4310-bb04-7495cb4a9b29","resolution":{"observed_at":"2026-08-16T04:17:37.365679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:37.221329Z","title":null,"venue":null,"work_id":"3408c349-27ed-4704-8461-0425081ac4f1","year":2012},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.574648Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:ba46502dec172adbd45b8f632fdcc75c1f47b32f4f5ae3b742bfe59e8d749a8b","observation_id":"39054e35-c942-4725-b818-7bab942d1def","resolution":{"observed_at":"2026-08-16T04:17:37.253951Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05449","last_updated":"2024-07-18T04:44:25Z","snapshot_observed_at":"2026-08-16T14:02:46.016944Z","submitted_at":"2024-04-08T12:31:23Z","title":"RoT: Enhancing Large Language Models with Reflection on Search Trees","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05449","snapshot_observed_at":"2026-08-16T04:17:36.577964Z","title":"Rot: Enhancing large language models with reflection on search trees","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.577964Z"},"links":{"cited_paper":"/paper/2404.05449","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:639014114ef14b379be42d19afc333f625c67f366454773dca116817e366047b","observation_id":"786eff8a-1393-4ee2-8ab8-3f9826e0be6d","resolution":{"observed_at":"2026-08-16T04:17:36.577964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.11694","last_updated":"2024-12-31T01:38:12Z","snapshot_observed_at":"2026-08-13T10:27:01.324745Z","submitted_at":"2024-11-18T16:15:17Z","title":"Enhancing LLM Reasoning with Reward-guided Tree Search","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.11694","snapshot_observed_at":"2026-08-16T04:17:36.582479Z","title":"X., Liu, Z., Yan, D., Xie, J., Wang, Z., and Wen, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.582479Z"},"links":{"cited_paper":"/paper/2411.11694","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:26cf158c17fd58b08e1beb87715b347f04e5f231f95f94f690951e4f6f0d1f9f","observation_id":"4ead05e3-d961-4c35-a037-d4341b120842","resolution":{"observed_at":"2026-08-16T04:17:36.582479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16265","last_updated":"2024-06-26T14:01:15Z","snapshot_observed_at":"2026-08-16T13:49:27.658035Z","submitted_at":"2024-05-25T15:07:33Z","title":"MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16265","snapshot_observed_at":"2026-08-16T04:17:36.586665Z","title":"Z., Chen, X., Kazemi, A., and Chen, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.586665Z"},"links":{"cited_paper":"/paper/2405.16265","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:4cd91f050940039e1f0443020af8407c58ad7687e1f0cee3562157b41e3be7d9","observation_id":"19428bfe-96df-4ee2-942c-3e4a14ceaa14","resolution":{"observed_at":"2026-08-16T04:17:36.586665Z","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":"2026-08-16T04:17:37.192018Z","title":"Exponential moving average versus moving exponential average","venue":null,"work_id":"3a325c04-35f8-4f03-8755-0b2a1bfd68da","year":2011},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.590151Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:90eb182d504803699e6f9ee9a1f144b3a38124b8ffcb3a03cb1a77ec2649eadd","observation_id":"db2fcb36-7a07-4029-901c-ba628d825625","resolution":{"observed_at":"2026-08-16T04:17:37.195537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:37.182083Z","title":"Cllms: Consistency large language models","venue":null,"work_id":"ebaed394-48f9-4a80-91e5-1133482af968","year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.593709Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:6fff91575e9515560fe4b63370eb8f27e58c5a7e1008249549d609d2b16dbad6","observation_id":"e6a27255-15f1-435a-9cc9-ec4712c99674","resolution":{"observed_at":"2026-08-16T04:17:37.185866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:36.597760Z","title":"H., Gonzalez, J., Zhang, H., and Stoica, I","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.597760Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:76f567614df9e0b6e58d8cad4ec4d5c6b1329847158ef6adcf81bbeebcb91762","observation_id":"744b855d-f901-4a3f-aea9-7541e1361069","resolution":{"observed_at":"2026-08-16T04:17:36.597760Z","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":"2026-08-16T04:17:36.600864Z","title":"Crafting papers on machine learning","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.600864Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:be3b7457fd0efad4423330617ea47582c663805eda84807fc51e633b0829bbab","observation_id":"23570a6e-1469-43ea-ac6c-80129ab1ed5c","resolution":{"observed_at":"2026-08-16T04:17:36.600864Z","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":"2026-08-16T04:17:37.165950Z","title":"Fast inference from transformers via speculative decoding","venue":null,"work_id":"3487117e-c603-4f6e-8e0b-10149c8282a7","year":2023},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.604977Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:eb6645a6aab7347c8f895a59e701871840d72105b97dfc0654ab066f4b2ba192","observation_id":"5622bad3-b0f4-46e5-85af-c72f80f25e3a","resolution":{"observed_at":"2026-08-16T04:17:37.169582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:37.156061Z","title":"EAGLE: speculative sampling requires rethinking feature uncertainty","venue":null,"work_id":"bd2312d5-ca82-4667-9023-c816acdbef95","year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.608498Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:da6f41200e11163a06eeba5a0700968ab1934c76046b663f9e3dc20653de48bc","observation_id":"d0292686-cc47-4e15-b0e0-9bfd9f0c437e","resolution":{"observed_at":"2026-08-16T04:17:37.159606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04838","last_updated":"2024-11-21T06:52:02Z","snapshot_observed_at":"2026-08-16T14:20:37.186186Z","submitted_at":"2024-02-07T13:39:38Z","title":"PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition","version":5},"cited_work":{"arxiv_id":"2402.04838","doi":"10.48550/arxiv.2402.04838","metadata_source":"pith","pith_arxiv_id":"2402.04838","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition","venue":"cs.CL","work_id":"26891963-aeb8-4747-bf4d-14fc9e9e3e7d","year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.612868Z"},"links":{"cited_paper":"/paper/2402.04838","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:fffafae0caa73fb63555eb86c1d9f603218c237d7dcf4b13895641695fcff666","observation_id":"f945fb3b-76cc-49b6-a392-2444c32f3858","resolution":{"observed_at":"2026-08-16T04:17:36.822812Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16033","last_updated":"2025-09-03T03:41:08Z","snapshot_observed_at":"2026-08-16T13:08:10.343974Z","submitted_at":"2024-10-18T04:38:21Z","title":"TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16033","snapshot_observed_at":"2026-08-16T04:17:36.616515Z","title":"Treebon: Enhancing inference-time alignment with speculative tree-search and best-of-n sampling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.616515Z"},"links":{"cited_paper":"/paper/2410.16033","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:ac5b89cdc8067357c676044358386a034f26dafb86e349f390d58759658a8dea","observation_id":"0e547ebb-ebf5-4131-bcfd-1b97c72f668c","resolution":{"observed_at":"2026-08-16T04:17:36.616515Z","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":"2026-08-16T04:17:36.620822Z","title":"Qwen2.5: A party of foundation models, September 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.620822Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:0d19d6564b8523aecf52d6817e86b67d5f0ffb7941ae1c5dc6cbef393e9fb028","observation_id":"9c23fbc7-9249-4928-943d-3cb49a65efaa","resolution":{"observed_at":"2026-08-16T04:17:36.620822Z","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":"2026-08-16T04:17:37.140321Z","title":"M., Wen, Y., Zhang, W., and Wang, J","venue":null,"work_id":"979d0648-9f8f-4033-b83c-34daea333fa1","year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.623918Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:02b9750011dd560f98d1eaaa0d02f2f6174adcc89d06fb74a630371cdb5fade5","observation_id":"75b6da0d-b189-4393-bff5-d96f8a55e328","resolution":{"observed_at":"2026-08-16T04:17:37.143722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:37.130453Z","title":"Efficient large language models: A survey","venue":null,"work_id":"6fbb5e3a-a4f9-4829-a31a-45e86b5c8021","year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.628126Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:b9d7d9e9c8da4ede3823f5599a137e0728d716cecd27efe5d9cf22b1efe14e08","observation_id":"653f3448-a9e0-4c64-b1f0-bf762a2d70ee","resolution":{"observed_at":"2026-08-16T04:17:37.134219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09671","last_updated":"2024-10-12T23:42:16Z","snapshot_observed_at":"2026-08-16T13:09:59.425817Z","submitted_at":"2024-10-12T23:42:16Z","title":"OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.09671","snapshot_observed_at":"2026-08-16T04:17:36.631751Z","title":"M., Yang, L., Wen, Y., and Zhang, W","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.631751Z"},"links":{"cited_paper":"/paper/2410.09671","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:e0680e5058f14b8dade0d66958c7a014f61c2dbe4559c82d8d9d4498129326ad","observation_id":"7c6d1760-031a-4024-bad4-7a61f1367160","resolution":{"observed_at":"2026-08-16T04:17:36.631751Z","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":"2026-08-16T04:17:36.635958Z","title":"Math-shepherd: Verify and reinforce llms step-by-step without human annotations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.635958Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:92eaf4422e051ff7e73aa0ca61d400f8c5dca6d086e6adf0f8feab4953df675c","observation_id":"6d719c74-a9bb-43f3-a5b3-465822ae6ba5","resolution":{"observed_at":"2026-08-16T04:17:36.635958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18200","last_updated":"2024-12-17T07:18:53Z","snapshot_observed_at":"2026-08-16T13:39:30.100852Z","submitted_at":"2024-06-26T09:33:41Z","title":"SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18200","snapshot_observed_at":"2026-08-16T04:17:36.639560Z","title":"SEED: accelerating reasoning tree construction via scheduled speculative decoding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.639560Z"},"links":{"cited_paper":"/paper/2406.18200","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:e8d3a86164145126e0ec58b80569f0b6b86837d5b921e3746c14a0fb5c0cb6a4","observation_id":"325b427c-f2d8-4379-852f-b6d2d2e55ec2","resolution":{"observed_at":"2026-08-16T04:17:36.639560Z","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":"2026-08-16T04:17:37.119797Z","title":"H., Le, Q","venue":null,"work_id":"5f935d17-e1ef-4c69-a9cc-ce7baeffd76e","year":2022},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.643029Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:d93a7c926523c60a7ade032a614e5289bc69331caab2ad6880905859bf5d3e2e","observation_id":"af04f03e-f00b-408e-b677-0c07400d5389","resolution":{"observed_at":"2026-08-16T04:17:37.123221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:37.108737Z","title":"Cantelli's inequality --- Wikipedia , the free encyclopedia, 2024","venue":null,"work_id":"bd2bcc34-3dec-4875-9548-2082457bca45","year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.646107Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:1b3e120f2c8dc01ee1b02e4a09396fd8d25a6bf59224c99981e6e82a7cb95ea5","observation_id":"478b73a1-f638-465f-a3c6-b5bbfddcc760","resolution":{"observed_at":"2026-08-16T04:17:37.113077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:37.098241Z","title":"Scaling inference computation: Compute-optimal inference for problem-solving with language models","venue":null,"work_id":"5e9823f0-e1ff-4082-bbd9-f1f27d49dc45","year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.649541Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:7ae2f3dc06d808c1396fa870452a014859bfd2b24db69eaf38d2f548f778ff8e","observation_id":"61ad9186-7824-4957-80c9-6341f14cce78","resolution":{"observed_at":"2026-08-16T04:17:37.101863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T04:17:36.652611Z","title":"Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.652611Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:bad40b76c734d9264d3df8c36ee2f05e193f02fd9e3c2883dd5c3212c16ba568","observation_id":"4f2d21e1-5e1e-4615-a881-38e43ce270dd","resolution":{"observed_at":"2026-08-16T04:17:36.652611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00633","last_updated":"2023-10-26T01:43:17Z","snapshot_observed_at":"2026-08-16T15:36:37.060673Z","submitted_at":"2023-05-01T02:37:59Z","title":"Self-Evaluation Guided Beam Search for Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.00633","snapshot_observed_at":"2026-08-16T04:17:36.656592Z","title":"Decomposition enhances reasoning via self-evaluation guided decoding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.656592Z"},"links":{"cited_paper":"/paper/2305.00633","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:500310d6996de9a75b015eafdc62c4a638f4f7f2b20a08fc4d7756f246496f7a","observation_id":"51f89ba8-2724-4e1d-a11e-64c24be3be33","resolution":{"observed_at":"2026-08-16T04:17:36.656592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06706","last_updated":"2024-01-12T17:15:23Z","snapshot_observed_at":"2026-08-16T14:27:53.696297Z","submitted_at":"2024-01-12T17:15:23Z","title":"Multi-Candidate Speculative Decoding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06706","snapshot_observed_at":"2026-08-16T04:17:36.660488Z","title":"Multi-candidate speculative decoding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.660488Z"},"links":{"cited_paper":"/paper/2401.06706","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:281953dc440d534305a8d7ea5f086ff7b1a321f4604e594a83fa8428362d3aca","observation_id":"4baa119c-bec0-4ba2-beed-ad12e128a1a3","resolution":{"observed_at":"2026-08-16T04:17:36.660488Z","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":"2026-08-16T04:17:37.087385Z","title":"Tree of thoughts: Deliberate problem solving with large language models","venue":null,"work_id":"9e22b179-613e-4397-97f7-19756936975d","year":2023},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.664184Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:2ef26f4d444b06a39f6dc98ac46df002703861fe1c11f4f72e6a5e286f6f1091","observation_id":"2a043fcb-571a-47a1-b61f-2ed57c39385e","resolution":{"observed_at":"2026-08-16T04:17:37.090903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14897","last_updated":"2024-04-23T10:25:45Z","snapshot_observed_at":"2026-08-16T13:58:35.337841Z","submitted_at":"2024-04-23T10:25:45Z","title":"Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14897","snapshot_observed_at":"2026-08-16T04:17:36.667219Z","title":"Beyond the speculative game: A survey of speculative execution in large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.667219Z"},"links":{"cited_paper":"/paper/2404.14897","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:4c9f7b553590cf42e5b86a53bd59869e232b25627fe7e249567d2e823a1e2508","observation_id":"2075e83f-1978-4d92-bc82-c3caa0f9a51a","resolution":{"observed_at":"2026-08-16T04:17:36.667219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03816","last_updated":"2024-11-18T05:36:16Z","snapshot_observed_at":"2026-08-16T18:17:36.314960Z","submitted_at":"2024-06-06T07:40:00Z","title":"ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03816","snapshot_observed_at":"2026-08-16T04:17:36.670733Z","title":"Rest-mcts*: LLM self-training via process reward guided tree search","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.670733Z"},"links":{"cited_paper":"/paper/2406.03816","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:245c724d9ca876487538e66bafa6913c65a0985abcd6e0eee9703ce02f584b7c","observation_id":"c3141de9-49b4-40cb-bd22-61bbde2108b8","resolution":{"observed_at":"2026-08-16T04:17:36.670733Z","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":"2026-08-16T04:17:37.075912Z","title":"Gaussian distribution., 2010","venue":null,"work_id":"697f94d0-a9da-41c8-9903-76ff133e2123","year":2010},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.674065Z"},"links":{"citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:55a8a154557f63173fe221f467859a3f09f08f702ffb029ecabf51d949309aba","observation_id":"c958b78a-10f9-4658-901e-1c165b8d583b","resolution":{"observed_at":"2026-08-16T04:17:37.080313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20314","last_updated":"2024-06-01T15:24:10Z","snapshot_observed_at":"2026-08-16T13:47:38.654638Z","submitted_at":"2024-05-30T17:54:35Z","title":"S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for Low-Memory GPUs","version":2},"cited_work":{"arxiv_id":"2405.20314","doi":"10.48550/arxiv.2405.20314","metadata_source":"pith","pith_arxiv_id":"2405.20314","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for Low-Memory GPUs","venue":"cs.CL","work_id":"36e52086-03a2-480a-8bf9-1aa0cc75e32d","year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.676648Z"},"links":{"cited_paper":"/paper/2405.20314","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:eed1a5bd06c3582cc72f9ee1fad5ccb92a38ec030bc3ebbbd2b71471e03accf4","observation_id":"4de9fc42-8b5a-43df-b085-0405dfea0fc4","resolution":{"observed_at":"2026-08-16T04:17:36.731941Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14294","last_updated":"2024-07-19T04:47:36Z","snapshot_observed_at":"2026-07-06T18:03:47.096406Z","submitted_at":"2024-04-22T15:53:08Z","title":"A Survey on Efficient Inference for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14294","snapshot_observed_at":"2026-08-16T04:17:36.679840Z","title":"A survey on efficient inference for large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-16T04:17:36.679840Z"},"links":{"cited_paper":"/paper/2404.14294","citing_paper":"/paper/2505.02865"},"observation_digest":"sha256:f9e931093e878ab7f75fec4d656b2bc859b40a4641ec2c4b6eb4b864604410dd","observation_id":"c6d1e8f3-a719-4737-9828-5db4d1c63cac","resolution":{"observed_at":"2026-08-16T04:17:36.679840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.02865","last_updated":"2025-05-24T01:49:29Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T15:52:05.822334Z","submitted_at":"2025-05-03T12:14:08Z","title":"Accelerating Large Language Model Reasoning via Speculative Search"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":2,"verified_fuzzy":14},"total_outbound_references":43},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2505.02865."}