{"as_of":"2026-08-08T03:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8aacdda7e4fad71bd2b9646f5aaa4f87f74bb332366869441b00656b33a5f1d1","coverage":[{"denominator":80,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":80,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:52:18.771286Z","state":"measured"},{"denominator":80,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":80,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2506.06998/citation-record","integrity":"/paper/2506.06998/integrity","json":"/paper/2506.06998/citation-record.json","paper":"/paper/2506.06998"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:52:18.081109Z","title":"L1: Controlling how long a reasoning model thinks with reinforcement learning, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.081109Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:aa80bf80f063fe1591f4ce009523694c4a6b5883e56f499818ef0b6d360265e1","observation_id":"a55a1a08-e18a-4b24-9247-cb13c684c169","resolution":{"observed_at":"2026-08-07T05:52:18.081109Z","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":"2026-08-07T05:52:21.007930Z","title":"Large language models for mathematical reasoning: Progresses and challenges","venue":null,"work_id":"036aad88-a190-43b0-9a1d-09827b3fc5ea","year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.088863Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:3d6130c7299c991d8f3c35978b24a7647a6a550718c4dc2aa5f1f099dd91b71b","observation_id":"a6c7a231-05a7-4f43-bf71-43e249e2802a","resolution":{"observed_at":"2026-08-07T05:52:21.016890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.987944Z","title":"AIME 2022–2024 Validation Set, 2024","venue":null,"work_id":"c7042ca6-5cd1-44b3-af60-a1b54297a170","year":2022},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.098395Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:98116f13f4251f8306ddd290eb8e2e394ac3558a4e68e9e4c80efc077d55bb2b","observation_id":"e337d52b-edce-41c4-81dd-4fab18c56fb6","resolution":{"observed_at":"2026-08-07T05:52:20.993151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.970754Z","title":"AMC 12 2023 Integer-Answer Validation Set, 2024","venue":null,"work_id":"57bcfb4c-06af-40ff-accb-a58bfd77f5e7","year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.106590Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:f29835bae49ee4ba8548f812e24105b6b0cc1a84146d96026714ae13e56faf5d","observation_id":"fed927cd-a079-4401-8e35-028ca8c2a49c","resolution":{"observed_at":"2026-08-07T05:52:20.976092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.951001Z","title":"Reasoning language models: A blueprint, 2025","venue":null,"work_id":"f384ac7f-bc03-41fb-8b62-5711e8287bea","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.115590Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:f31371f898514eae7b8ed348dc5fec68bfe39074e07275e2d27371016bfde886","observation_id":"c956cfc0-c7d9-4d08-83b8-56b76314b2a1","resolution":{"observed_at":"2026-08-07T05:52:20.957371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.934056Z","title":"Data diversity matters for robust instruction tuning, 2023","venue":null,"work_id":"fb37a1d3-94a3-42e3-9ced-9db915c5c614","year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.131821Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:a1ee302bfe11066479d9abb57161fd58450e30d1db10795bd772ec3a30007232","observation_id":"c1ec5b4c-28e5-41e7-9af5-c6fe5047ed0f","resolution":{"observed_at":"2026-08-07T05:52:20.939047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-07T05:52:18.146136Z","title":"Medusa: Simple llm inference acceleration framework with multiple decoding heads","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.146136Z"},"links":{"cited_paper":"/paper/2401.10774","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:c42df5e9bb283395a5f8936f544283cfafe7c4e7fe1e1a7395909b23d2be3373","observation_id":"c32e16d2-6937-460e-8007-4548de2a0152","resolution":{"observed_at":"2026-08-07T05:52:18.146136Z","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":"2026-08-07T05:52:18.155739Z","title":"Accelerating large language model decoding with speculative sampling.arXiv preprint arXiv:2302.01318, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.155739Z"},"links":{"cited_paper":"/paper/2302.01318","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:b712668bc90aff399bc6472b284e8691919b1a130c975e36271632a85ff963c2","observation_id":"3bdda8d5-fc92-4ad0-af8e-34b07140ee82","resolution":{"observed_at":"2026-08-07T05:52:18.155739Z","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":"2026-08-07T05:52:20.916782Z","title":"Alpagasus: Training a better alpaca with fewer data, 2023","venue":null,"work_id":"0df14d79-475e-4794-85b8-b18ec1c317b5","year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.165514Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:6299b1d3c33854ee38e238a43fa75dc022d95ac7710b397c60ffb102d05dfe59","observation_id":"b3812779-49a9-4b22-8de3-a20b8b04dd0c","resolution":{"observed_at":"2026-08-07T05:52:20.922158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:18.172782Z","title":"Towards reasoning era: A survey of long chain-of-thought for reasoning large language models, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.172782Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:60e66ef9c298125354978702c9a72fc9e7559dd6a2e602d393c327f7e1bb671f","observation_id":"ae07a26e-c572-4912-98a7-60a14423c346","resolution":{"observed_at":"2026-08-07T05:52:18.172782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04602","last_updated":"2025-02-07T01:32:19Z","snapshot_observed_at":"2026-07-06T20:32:39.321377Z","submitted_at":"2025-02-07T01:32:19Z","title":"Extracting and Understanding the Superficial Knowledge in Alignment","version":1},"cited_work":{"arxiv_id":"2502.04602","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.04602","snapshot_observed_at":"2026-08-07T05:52:20.114728Z","title":"Extracting and Understanding the Superficial Knowledge in Alignment","venue":"cs.CL","work_id":"7d05489c-b276-483e-8717-72911641dda3","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.183674Z"},"links":{"cited_paper":"/paper/2502.04602","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:6b8588bc8ba7e9ffcded54b14186d34b39383816b7e5959c92cf845a0157487d","observation_id":"6165a161-d4dd-4bd9-8a99-aead95d924fd","resolution":{"observed_at":"2026-08-07T05:52:20.121950Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.887395Z","title":"Do not think that much for 2+3=? on the overthinking of o1-like llms, 2025","venue":null,"work_id":"e036aac5-18bb-488b-9f95-19e0a45f2b34","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.194522Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:87815ecc1f9d6198704d9b76966dcc4fbe097962e7bbdeb569a5861fc9a596e0","observation_id":"46932ad1-71a6-478d-86f2-ddf90e4a96a4","resolution":{"observed_at":"2026-08-07T05:52:20.892877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11502","last_updated":"2024-04-17T15:57:50Z","snapshot_observed_at":"2026-08-05T02:51:59.153971Z","submitted_at":"2024-04-17T15:57:50Z","title":"Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11502","snapshot_observed_at":"2026-08-07T05:52:18.205625Z","title":"Towards coarse-to-fine evaluation of inference efficiency for large language models.arXiv preprint arXiv:2404.11502, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.205625Z"},"links":{"cited_paper":"/paper/2404.11502","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:5c7bea8ddb98a8c3eb516b93adc81ac5dda24bdc030c9271d831242525ad0922","observation_id":"f9c5f84e-cabe-41d9-b203-f4d46e5b9038","resolution":{"observed_at":"2026-08-07T05:52:18.205625Z","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":"2026-08-07T05:52:20.869509Z","title":"Gonzalez","venue":null,"work_id":"64dd1624-5278-4a62-bee0-d65ed71eebfb","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.211524Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:599dcb2913e377afdd9084a06185165d43cbebd2fc6f3a03110c6e4993ceb71f","observation_id":"4c1f8511-47dd-497f-a5e6-c03a0e799d3c","resolution":{"observed_at":"2026-08-07T05:52:20.874276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.853323Z","title":"Process reinforcement through implicit rewards, 2025","venue":null,"work_id":"70c8410a-79d8-4e55-ac82-6cbc0bfc9657","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.216814Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:9b022c8a3e2bef3d0bee9758bce7bcda9c0fb88bf5e29489d594c1844e518bff","observation_id":"01ff8063-1311-4c39-984e-9f6bb25d505e","resolution":{"observed_at":"2026-08-07T05:52:20.858576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.837495Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025","venue":null,"work_id":"0d856cc7-447e-42d8-b677-90e95c77266e","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.224375Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:0e02262b330d7ffc48d1b644b2fc09b5440be78f628e23fd8b6092d5e0e6fc6e","observation_id":"57da4753-147b-4ee5-8eaf-741ec4d11cbd","resolution":{"observed_at":"2026-08-07T05:52:20.842891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.819926Z","title":"Mods: Model-oriented data selection for instruction tuning, 2023","venue":null,"work_id":"88352558-3e31-435f-b88e-f910de423387","year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.234140Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:022dbce263e00c5c206ece13bc59dc1e211926f07a5804ea2268c3ad551ec9e3","observation_id":"124088ec-e383-4823-b8bb-047437c96ba0","resolution":{"observed_at":"2026-08-07T05:52:20.824884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06514","last_updated":"2025-04-11T02:36:28Z","snapshot_observed_at":"2026-08-07T16:07:21.231398Z","submitted_at":"2025-04-09T01:25:27Z","title":"Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06514","snapshot_observed_at":"2026-08-07T05:52:18.240527Z","title":"Missing premise exacerbates overthinking: Are reasoning models losing critical thinking skill?arXiv preprint arXiv:2504.06514, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.240527Z"},"links":{"cited_paper":"/paper/2504.06514","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:63a19c1cf1f69f73540a7215375f1c1ee4a4b90186293959e595bbbfadab7423","observation_id":"7491c215-0c03-4e79-aecf-657cae47dd5f","resolution":{"observed_at":"2026-08-07T05:52:18.240527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18547","last_updated":"2025-06-02T00:44:09Z","snapshot_observed_at":"2026-08-07T19:18:10.858896Z","submitted_at":"2024-12-24T16:55:45Z","title":"Token-Budget-Aware LLM Reasoning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18547","snapshot_observed_at":"2026-08-07T05:52:18.246347Z","title":"Token-budget-aware llm reasoning.arXiv preprint arXiv:2412.18547, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.246347Z"},"links":{"cited_paper":"/paper/2412.18547","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:986d67ac5f540ff01fd4737a672e98312b8a09bb3b32682087df18225ce833c2","observation_id":"89af4f56-187f-42a1-bd16-61758b633dd9","resolution":{"observed_at":"2026-08-07T05:52:18.246347Z","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":"2026-08-07T05:52:20.804280Z","title":"Reproduce the inference-time scaling experiment, 2024","venue":null,"work_id":"a2e66d20-52cd-409e-a97e-a236c771e069","year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.254145Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:f1d9ffd4e91f91ae1a6979a0a72e2748b35e10d78e90c4f5340c232d994589c4","observation_id":"f9301f3c-e331-433b-a8ec-c071bb31695d","resolution":{"observed_at":"2026-08-07T05:52:20.809286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06769","last_updated":"2025-11-03T00:53:34Z","snapshot_observed_at":"2026-08-07T06:05:27.895209Z","submitted_at":"2024-12-09T18:55:56Z","title":"Training Large Language Models to Reason in a Continuous Latent Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06769","snapshot_observed_at":"2026-08-07T05:52:18.262129Z","title":"Training large language models to reason in a continuous latent space.arXiv preprint arXiv:2412.06769, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.262129Z"},"links":{"cited_paper":"/paper/2412.06769","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:a5128967cad0f3ee8f413065eabf89e25c26d2d8ce001ec412e0dfe9bb93bf7a","observation_id":"91cc1aa1-61a6-4203-91d2-186e0962c3e0","resolution":{"observed_at":"2026-08-07T05:52:18.262129Z","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":"2026-08-07T05:52:18.272762Z","title":"Towards reasoning in large language models: A survey, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.272762Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:ef73d1c694cb3c23a4b06646735fe4229d358bbdeef8232031978eba6f21cefe","observation_id":"d407c180-26bf-4782-8967-4a133b8645cc","resolution":{"observed_at":"2026-08-07T05:52:18.272762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17982","last_updated":"2024-02-28T01:53:37Z","snapshot_observed_at":"2026-08-04T21:39:00.194402Z","submitted_at":"2024-02-28T01:53:37Z","title":"Collaborative decoding of critical tokens for boosting factuality of large language models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17982","snapshot_observed_at":"2026-08-07T05:52:18.278157Z","title":"Collaborative decoding of critical tokens for boosting factuality of large language models.arXiv preprint arXiv:2402.17982, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.278157Z"},"links":{"cited_paper":"/paper/2402.17982","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:7844b39e3a54a995e5ae5a83099f458dcec27c00cf0ed0c51fba3cabf05143fc","observation_id":"9354e951-1a5e-4436-bfe2-692c3e599e82","resolution":{"observed_at":"2026-08-07T05:52:18.278157Z","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":"2026-08-07T05:52:18.286432Z","title":"macmillan, 2011","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.286432Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:7db1a1c8fb16628d023e3374ab4a45698a6b131ddcad6f443c696c951e0a9719","observation_id":"e42f6d95-473a-4bf2-9b43-c94e3a218019","resolution":{"observed_at":"2026-08-07T05:52:18.286432Z","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":"2026-08-07T05:52:20.761540Z","title":"Overthink: Slowdown attacks on reasoning llms, 2025","venue":null,"work_id":"cca0665c-13fc-4d56-8031-d3b3a2efc164","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.301545Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:8a7df49c381b52ced91725a5d588471c2ef9d55d9036bad3c696347c10254d18","observation_id":"81459243-8805-41a0-9c20-6e9c9da20edc","resolution":{"observed_at":"2026-08-07T05:52:20.766821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:18.308495Z","title":"Fast inference from transformers via speculative decoding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.308495Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:846ac7740f16725078256544e6da27ab57c4789700e79b9dd428174eb2f96e69","observation_id":"710462df-e4d4-40bc-ba93-d7b1f6a7556c","resolution":{"observed_at":"2026-08-07T05:52:18.308495Z","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":"2026-08-07T05:52:18.316709Z","title":"Superficial safety alignment hypothesis.arXiv preprint arXiv:2410.10862, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.316709Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:17a9644a4ff201168356906a795c6f3030c1b0e1b9f5df1da4b109952e285ff5","observation_id":"f9d1807a-335f-4c64-b3c6-89c2ed254872","resolution":{"observed_at":"2026-08-07T05:52:18.316709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15938","last_updated":"2025-02-15T20:33:41Z","snapshot_observed_at":"2026-07-06T18:35:31.141952Z","submitted_at":"2024-06-22T20:57:12Z","title":"RuleR: Improving LLM Controllability by Rule-based Data Recycling","version":4},"cited_work":{"arxiv_id":"2406.15938","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.15938","snapshot_observed_at":"2026-08-07T05:52:19.824076Z","title":"RuleR: Improving LLM Controllability by Rule-based Data Recycling","venue":"cs.CL","work_id":"0614eea0-bb48-4f5c-a692-be0091853d27","year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.339511Z"},"links":{"cited_paper":"/paper/2406.15938","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:abef001251321b4f91cfbb90ad5f4eeb18378d3e762a2edd9836ba51a333390e","observation_id":"0e35b196-19af-4cd3-b874-31c6dd410f49","resolution":{"observed_at":"2026-08-07T05:52:19.832605Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.725716Z","title":"Selective reflection-tuning: Student-selected data recycling for LLM instruction-tuning","venue":null,"work_id":"99723793-d5d6-470c-a494-bd276b58b654","year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.348453Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:991e7836420073bba8025151599fdb0d47172e000436395357c759c2af9e2268","observation_id":"c90ef284-1f4c-4187-915c-c5911981ca86","resolution":{"observed_at":"2026-08-07T05:52:20.732249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.691952Z","title":"Reflection-tuning: Recycling data for better instruction-tuning","venue":null,"work_id":"80e8f1c7-5c2b-4ad7-b782-bfd4209c5d17","year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.368861Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:5531ef072a15cf7994453365d6fb031044ae5ddf90e7c1588f8260303a61d078","observation_id":"14858250-3ddc-419b-9d6c-04c16573b6ac","resolution":{"observed_at":"2026-08-07T05:52:20.699661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13326","last_updated":"2025-06-05T01:47:25Z","snapshot_observed_at":"2026-08-06T07:56:11.183658Z","submitted_at":"2024-05-22T04:08:20Z","title":"Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13326","snapshot_observed_at":"2026-08-07T05:52:18.377193Z","title":"Mosaic-it: Free compositional data augmentation improves instruction tuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.377193Z"},"links":{"cited_paper":"/paper/2405.13326","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:9d63574720fc490ce03141c1e793ca7d8e831e2748a90d48f9fc13e33d75d19a","observation_id":"6af645dc-ff40-49b0-a71a-43f22fe11a03","resolution":{"observed_at":"2026-08-07T05:52:18.377193Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10766","last_updated":"2026-05-11T12:14:23Z","snapshot_observed_at":"2026-07-06T21:09:26.716260Z","submitted_at":"2025-04-14T23:53:47Z","title":"How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10766","snapshot_observed_at":"2026-08-07T05:52:18.384607Z","title":"How instruction and reasoning data shape post- training: Data quality through the lens of layer-wise gradients.arXiv preprint arXiv:2504.10766, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.384607Z"},"links":{"cited_paper":"/paper/2504.10766","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:fc467c6fc3d53b370e2fbee6cd182705417ed4a023253eb81fc25e3d418c6f14","observation_id":"850ffb49-167d-49ec-a6ea-77e74aabfc8b","resolution":{"observed_at":"2026-08-07T05:52:18.384607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23743","last_updated":"2025-06-05T02:01:49Z","snapshot_observed_at":"2026-08-06T11:01:33.009733Z","submitted_at":"2024-10-31T08:58:06Z","title":"What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23743","snapshot_observed_at":"2026-08-07T05:52:18.391931Z","title":"What happened in llms layers when trained for fast vs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.391931Z"},"links":{"cited_paper":"/paper/2410.23743","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:ea83ceb046fcede6dc4beb1a9dcef8b8a1af1210981712c6d4daec0d8c800160","observation_id":"2b26c2b7-7cf4-4c1d-9933-cff2d5aae3f3","resolution":{"observed_at":"2026-08-07T05:52:18.391931Z","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":"2026-08-07T05:52:20.666293Z","title":"Superfiltering: Weak-to-strong data filtering for fast instruction-tuning","venue":null,"work_id":"07398f83-ba74-44fe-8b41-30088d7276cf","year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.402623Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:fd5bdfe0c97ecc18439f1fdcf8d54efef48cb999bec7e15841f6f027a28fb323","observation_id":"26e46771-ee38-46e1-ac83-4bc233e5432e","resolution":{"observed_at":"2026-08-07T05:52:20.674612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.629658Z","title":"From quantity to quality: Boosting LLM performance with self- guided data selection for instruction tuning","venue":null,"work_id":"29794ce7-c60f-4d97-9958-c802f2b92f29","year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.412422Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:2f593c446b47dd169689bf94a98db4aba24310089063b134b6325ff2e6114a3b","observation_id":"a62af263-e29c-48b6-8e69-ef6bef0b3c06","resolution":{"observed_at":"2026-08-07T05:52:20.640628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.15097","last_updated":"2023-07-10T06:08:55Z","snapshot_observed_at":"2026-07-06T14:10:59.567758Z","submitted_at":"2022-10-27T00:58:21Z","title":"Contrastive Decoding: Open-ended Text Generation as Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.15097","snapshot_observed_at":"2026-08-07T05:52:18.421751Z","title":"Contrastive decoding: Open-ended text generation as optimization.arXiv preprint arXiv:2210.15097, 2022","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.421751Z"},"links":{"cited_paper":"/paper/2210.15097","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:2b6d14a255fa44068d2d11f127b288b5dd1611e68a7c4f3ceff50aa589fb7ec9","observation_id":"85195145-3a7b-4202-bf09-84b3adef7e64","resolution":{"observed_at":"2026-08-07T05:52:18.421751Z","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":"2026-08-07T05:52:18.434399Z","title":"From system 1 to system 2: A survey of reasoning large language models, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.434399Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:3bfcf9a619fdc7dc12df79f8ac8540fd017da6b4375c02918db9c18a2f92fff9","observation_id":"d2319720-7c1e-4432-b8a5-215e6a41aac0","resolution":{"observed_at":"2026-08-07T05:52:18.434399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19324","last_updated":"2025-06-26T03:14:46Z","snapshot_observed_at":"2026-07-06T20:29:07.258163Z","submitted_at":"2025-01-31T17:19:57Z","title":"Reward-Guided Speculative Decoding for Efficient LLM Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19324","snapshot_observed_at":"2026-08-07T05:52:18.444052Z","title":"Reward-guided speculative decoding for efficient llm reasoning.arXiv preprint arXiv:2501.19324, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.444052Z"},"links":{"cited_paper":"/paper/2501.19324","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:d124d63c83f552b604c236f05e46a9416c49458e0dc151565ff9d29d49f96007","observation_id":"c0ce5cfc-5745-4f52-bb92-fee9490dc8af","resolution":{"observed_at":"2026-08-07T05:52:18.444052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.20050","last_updated":"2023-05-31T17:24:00Z","snapshot_observed_at":"2026-08-05T13:11:04.104454Z","submitted_at":"2023-05-31T17:24:00Z","title":"Let's Verify Step by Step","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.20050","snapshot_observed_at":"2026-08-07T05:52:18.458905Z","title":"Let’s verify step by step.arXiv preprint arXiv:2305.20050, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.458905Z"},"links":{"cited_paper":"/paper/2305.20050","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:0b8595231edd3756978549acb158bc7cf75035c0d69da8661ed1cb5fe8a94ea0","observation_id":"6e2e17e9-d2b9-4806-b559-7c3a1c1a7414","resolution":{"observed_at":"2026-08-07T05:52:18.458905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01552","last_updated":"2023-12-04T00:46:11Z","snapshot_observed_at":"2026-08-07T00:42:49.627314Z","submitted_at":"2023-12-04T00:46:11Z","title":"The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01552","snapshot_observed_at":"2026-08-07T05:52:18.466703Z","title":"The unlocking spell on base llms: Rethinking alignment via in-context learning.arXiv preprint arXiv:2312.01552, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.466703Z"},"links":{"cited_paper":"/paper/2312.01552","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:6d8500b1a4a1f289b0fc6e4429753e7cd8125398889b4e9a573a2eabf0225972","observation_id":"9d13333a-89f9-4752-a905-4f0fee3be0f9","resolution":{"observed_at":"2026-08-07T05:52:18.466703Z","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":"2026-08-07T05:52:20.580339Z","title":"Code- mind: A framework to challenge large language models for code reasoning, 2024","venue":null,"work_id":"5d976ae9-18d0-46b5-8e6c-9ce89619d1d9","year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.479514Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:d88411371cc7c6ea99779e18582cfac83722a381736c44edb599e40e4c95d192","observation_id":"c7539f4f-0abe-4227-a320-cfa788dad150","resolution":{"observed_at":"2026-08-07T05:52:20.589018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15685","last_updated":"2024-04-16T02:46:58Z","snapshot_observed_at":"2026-07-06T17:07:52.197869Z","submitted_at":"2023-12-25T10:29:28Z","title":"What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.15685","snapshot_observed_at":"2026-08-07T05:52:18.489295Z","title":"What makes good data for alignment? a comprehensive study of automatic data selection in instruction tuning.arXiv preprint arXiv:2312.15685, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.489295Z"},"links":{"cited_paper":"/paper/2312.15685","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:a7a400da0d89b0d8b964bc56f44b2ebd13769f751aa7408b91b440d51199d8c5","observation_id":"cb34d5ef-469a-4247-82e9-09d0c5df819d","resolution":{"observed_at":"2026-08-07T05:52:18.489295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14066","last_updated":"2025-07-27T03:20:41Z","snapshot_observed_at":"2026-07-06T18:34:03.037351Z","submitted_at":"2024-06-20T07:43:33Z","title":"TurboSpec: Closed-loop Speculation Control System for Optimizing LLM Serving Goodput","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14066","snapshot_observed_at":"2026-08-07T05:52:18.498481Z","title":"Optimizing speculative decoding for serving large language models using goodput.arXiv preprint arXiv:2406.14066, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.498481Z"},"links":{"cited_paper":"/paper/2406.14066","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:21daf0fe8e4d8fb97cb542c9d252e6b716ae11bf6e6312bb333631baa6785ade","observation_id":"f2f57cc8-7f29-46c4-8c5f-bbf5790be1e1","resolution":{"observed_at":"2026-08-07T05:52:18.498481Z","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":"2026-08-07T05:52:20.543430Z","title":"Efficient inference for large reasoning models: A survey, 2025","venue":null,"work_id":"b89403b5-61a4-41d3-b0ea-b83002df98f0","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.506717Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:b60a7ee4a4a7835fb6a91ae5c6861e376fe64d6297404ddb0eaf8f67d9199ac3","observation_id":"062f1f51-9ce9-428e-ad44-bd6a9808cc34","resolution":{"observed_at":"2026-08-07T05:52:20.553672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:18.513815Z","title":"O1-pruner: Length-harmonizing fine-tuning for o1-like reasoning pruning, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.513815Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:2473e28c2da9426ad7b03d4c81245930918dcc6bfac1013e3095a38349bce307","observation_id":"89abee34-17a8-4734-b669-a33f132e4dc2","resolution":{"observed_at":"2026-08-07T05:52:18.513815Z","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":"2026-08-07T05:52:18.522951Z","title":"s1: Simple test-time scaling, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.522951Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:af21c06311d8c61e4cab892a864b4919ef6bf0a5219b11c8ce91b61e0dd8e09c","observation_id":"d70d71ce-c721-4a2b-98ec-34d1bdb20518","resolution":{"observed_at":"2026-08-07T05:52:18.522951Z","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":"2026-08-07T05:52:18.533667Z","title":"OpenAI o1 System Card, December 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.533667Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:8a1f02f9275265aa0f0eff45acc1c6cf454a6c1811dc98ff0248e13fba95f48a","observation_id":"b4612888-e565-4e51-9945-dc896d1b4fd1","resolution":{"observed_at":"2026-08-07T05:52:18.533667Z","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":"2026-08-07T05:52:18.544037Z","title":"A survey of efficient reasoning for large reasoning models: Language, multimodality, and beyond, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.544037Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:a878a45012c266786a1d5db131fd74ff18ed2627490b7901e010e63da21c033c","observation_id":"21a4e952-2129-4d87-8e9c-18d55b1acaa5","resolution":{"observed_at":"2026-08-07T05:52:18.544037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03717","last_updated":"2024-09-27T22:14:10Z","snapshot_observed_at":"2026-07-06T19:28:01.764884Z","submitted_at":"2024-09-27T22:14:10Z","title":"Revisiting the Superficial Alignment Hypothesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03717","snapshot_observed_at":"2026-08-07T05:52:18.555302Z","title":"Revisiting the superficial alignment hypothesis.arXiv preprint arXiv:2410.03717, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.555302Z"},"links":{"cited_paper":"/paper/2410.03717","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:7605e11e0ed4cb66078e19ac605a50fc1f9ea9e39a1d8284967b9e38f35835dc","observation_id":"5136668f-fe2a-4634-ad02-69ff93888179","resolution":{"observed_at":"2026-08-07T05:52:18.555302Z","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":"2026-08-07T05:52:18.562339Z","title":"Gpqa: A graduate-level google-proof q&a benchmark","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.562339Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:911bcae6614cf9e557bd302abc90bf39f8e70bbc127aa25449e78f9f6760ef9e","observation_id":"fcd97adf-d770-42b7-85ad-c35500eb67c0","resolution":{"observed_at":"2026-08-07T05:52:18.562339Z","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":"2026-08-07T05:52:18.569488Z","title":"The benefits of a concise chain of thought on problem- solving in large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.569488Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:0ea27a498fcf701680c3c01e398dc0814b1b23228a09f99ea4544305608eccf5","observation_id":"3bad6c74-8c84-4b61-87f0-c75c4632ddf9","resolution":{"observed_at":"2026-08-07T05:52:18.569488Z","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":"2026-08-07T05:52:18.582565Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.582565Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:8de92cfb1ef7167ce3139640191c2999341f48b54ac333f43f561acf97e035c3","observation_id":"f7d5e9bf-dc59-4ffd-b536-f30c1d2c52ee","resolution":{"observed_at":"2026-08-07T05:52:18.582565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03870","last_updated":"2024-08-27T08:31:04Z","snapshot_observed_at":"2026-07-06T17:40:33.769700Z","submitted_at":"2024-03-06T17:23:28Z","title":"Learning to Decode Collaboratively with Multiple Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03870","snapshot_observed_at":"2026-08-07T05:52:18.590507Z","title":"Learning to decode collaboratively with multiple language models.arXiv preprint arXiv:2403.03870, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.590507Z"},"links":{"cited_paper":"/paper/2403.03870","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:6d37706d2b07224bb521eed84747ec864f3e63dfdb43fd94932cdfb8b37bc6c1","observation_id":"92e8a7bb-c1f2-4b85-977f-36d960b88dfc","resolution":{"observed_at":"2026-08-07T05:52:18.590507Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19201","last_updated":"2026-05-04T05:23:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-31T15:10:29Z","title":"Efficient Reasoning with Hidden Thinking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19201","snapshot_observed_at":"2026-08-07T05:52:18.599257Z","title":"Efficient reasoning with hidden thinking.arXiv preprint arXiv:2501.19201, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.599257Z"},"links":{"cited_paper":"/paper/2501.19201","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:6d26e0ef5e212554dd7f7fa355507c3a3b13954e87fa537f8ad6abc0f38a90f8","observation_id":"e44fa246-e8e8-41cc-9e6f-3515bba747be","resolution":{"observed_at":"2026-08-07T05:52:18.599257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.21074","last_updated":"2025-09-23T08:16:08Z","snapshot_observed_at":"2026-08-07T17:46:47.440455Z","submitted_at":"2025-02-28T14:07:48Z","title":"CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.21074","snapshot_observed_at":"2026-08-07T05:52:18.606294Z","title":"Codi: Compressing chain-of-thought into continuous space via self-distillation.arXiv preprint arXiv:2502.21074, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.606294Z"},"links":{"cited_paper":"/paper/2502.21074","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:e2cc74bc1bff00cd5c442d0dd479a8849091171768cc6d5d8525cdfdc508f0fe","observation_id":"8fcce375-b43e-4b37-8c90-f8ab639f9b45","resolution":{"observed_at":"2026-08-07T05:52:18.606294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20290","last_updated":"2024-10-31T18:27:13Z","snapshot_observed_at":"2026-08-03T23:26:49.562857Z","submitted_at":"2024-10-26T23:20:48Z","title":"Fast Best-of-N Decoding via Speculative Rejection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20290","snapshot_observed_at":"2026-08-07T05:52:18.612719Z","title":"Fast best-of-n decoding via speculative rejection.arXiv preprint arXiv:2410.20290, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.612719Z"},"links":{"cited_paper":"/paper/2410.20290","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:255828e4622fc7f61d7d93977acac848deb0d17ff1939df35e5aaac02cafd90d","observation_id":"e64643e9-308e-44e5-84dd-f1302b09ac92","resolution":{"observed_at":"2026-08-07T05:52:18.612719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12599","last_updated":"2025-06-03T02:14:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T02:48:14Z","title":"Kimi k1.5: Scaling Reinforcement Learning with LLMs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12599","snapshot_observed_at":"2026-08-07T05:52:18.619379Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.619379Z"},"links":{"cited_paper":"/paper/2501.12599","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:5f9f05769f362258a6ef461ea6b0b2fb8a8251aa359ce66777812408c4310a61","observation_id":"319c74bc-a4fe-48bc-b193-e4de6ee4598d","resolution":{"observed_at":"2026-08-07T05:52:18.619379Z","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":"2026-08-07T05:52:18.628264Z","title":"Qwen2.5: A party of foundation models, September 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.628264Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:d9ff7fb48e3db3e1ce7e9917fbcb1b581004c2b9e6562bfe27513f2ed600010f","observation_id":"d72d49ec-9c03-4415-a114-ca6870f90b57","resolution":{"observed_at":"2026-08-07T05:52:18.628264Z","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":"2026-08-07T05:52:18.634818Z","title":"Qwen3, April 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.634818Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:8324c1d3793b9681895a9531209a58f5582e36dccfb3acec593114c9d026fc91","observation_id":"fed01112-6437-48f5-9824-68420ad2ab69","resolution":{"observed_at":"2026-08-07T05:52:18.634818Z","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":"2026-08-07T05:52:20.401549Z","title":"Llama 2: Open foundation and fine-tuned chat models, 2023","venue":null,"work_id":"65e5fd5c-8267-4e80-add3-0c102d881465","year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.642270Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:7fce8614b27cca02eca262c7f306b14b0c7b535438cc684ee0ac8bd8f272e42d","observation_id":"4e304cca-d0db-4a49-b061-66cbeff00e22","resolution":{"observed_at":"2026-08-07T05:52:20.408309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.17017","last_updated":"2025-02-04T03:59:49Z","snapshot_observed_at":"2026-08-05T15:40:45.171501Z","submitted_at":"2024-08-30T05:14:59Z","title":"Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.17017","snapshot_observed_at":"2026-08-07T05:52:18.648073Z","title":"Dynamic self-consistency: Leveraging reasoning paths for efficient llm sampling.arXiv preprint arXiv:2408.17017, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.648073Z"},"links":{"cited_paper":"/paper/2408.17017","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:844d8cd058364d92bb87eebc38d13245ecebd4a2440f45dac61ff24e90588d60","observation_id":"4019b593-75cf-47c0-9581-9e6f7f67f444","resolution":{"observed_at":"2026-08-07T05:52:18.648073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-07T16:06:46.096701Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T05:52:18.654116Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement.arXiv preprint arXiv:2504.07934, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.654116Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:40ec89bf0bbadc58802cabc4ba8f4fdd2ea584eceba8f513a6adc96b0a80039c","observation_id":"73127110-abe6-4cc4-9e98-5bb17a5fec37","resolution":{"observed_at":"2026-08-07T05:52:18.654116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03704","last_updated":"2025-06-30T20:29:34Z","snapshot_observed_at":"2026-08-07T11:33:34.159217Z","submitted_at":"2024-12-04T20:35:07Z","title":"Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03704","snapshot_observed_at":"2026-08-07T05:52:18.661384Z","title":"Scaling inference-time search with vision value model for improved visual comprehension.arXiv preprint arXiv:2412.03704, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.661384Z"},"links":{"cited_paper":"/paper/2412.03704","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:eef2156a120a6253c1b9fc010ebb2412701705d89a729f965694f69ab52cc4ef","observation_id":"b54b5691-eafa-49dc-87b5-550f54f6c437","resolution":{"observed_at":"2026-08-07T05:52:18.661384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10529","last_updated":"2024-01-25T04:11:57Z","snapshot_observed_at":"2026-08-08T00:08:56.107140Z","submitted_at":"2024-01-19T07:10:13Z","title":"Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10529","snapshot_observed_at":"2026-08-07T05:52:18.668518Z","title":"Mementos: A comprehensive bench- mark for multimodal large language model reasoning over image sequences.arXiv preprint arXiv:2401.10529, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.668518Z"},"links":{"cited_paper":"/paper/2401.10529","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:69219b2c282cfe6d832ac24bf8e1285a3693f851bd4e69a230303985efc0a8dc","observation_id":"0798781e-ecbc-47a2-85d0-3f8cf615c646","resolution":{"observed_at":"2026-08-07T05:52:18.668518Z","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":"2026-08-07T05:52:20.381654Z","title":"Multimodal chain-of-thought reasoning: A comprehensive survey, 2025","venue":null,"work_id":"bee39c96-1aa1-4f90-aba7-4b49a971fa1f","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.676588Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:9a33e7a9d255e85f7666cfa517398fc1519115ed65452a1b4dc926a619adb061","observation_id":"42350a00-1c17-4e42-ae75-b6d9230afdad","resolution":{"observed_at":"2026-08-07T05:52:20.388342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:18.682613Z","title":"Chain-of-thought prompting elicits reasoning in large language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.682613Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:2c4783fd7dffa5a92802f58af91d4c21f06cb4cac0db4e88b2ea35f78186bf7d","observation_id":"2d1f5401-e14c-4f07-a736-55580940e561","resolution":{"observed_at":"2026-08-07T05:52:18.682613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.07266","last_updated":"2025-05-27T02:56:52Z","snapshot_observed_at":"2026-08-07T06:50:02.841285Z","submitted_at":"2025-02-11T05:28:59Z","title":"When More is Less: Understanding Chain-of-Thought Length in LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.07266","snapshot_observed_at":"2026-08-07T05:52:18.687764Z","title":"When more is less: Understanding chain-of-thought length in llms.arXiv preprint arXiv:2502.07266, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.687764Z"},"links":{"cited_paper":"/paper/2502.07266","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:fd85679e80eccc4bad3742ba02eae98f8946cea52aaab396bc2a4af5f7dffedb","observation_id":"eebc5919-4411-4ec2-891c-a5f90ceaf5b5","resolution":{"observed_at":"2026-08-07T05:52:18.687764Z","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":"2026-08-07T05:52:18.694097Z","title":"Tokenskip: Controllable chain-of-thought compression in llms.arXiv preprint arXiv:2502.12067, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.694097Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:ed3948269946d4ac2722e810a77d6ff112072ffe0ca5dfb05adc251d69b55acb","observation_id":"5ef8202b-3ab2-47c0-a35c-37103c156ebb","resolution":{"observed_at":"2026-08-07T05:52:18.694097Z","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":"2026-08-07T05:52:20.348291Z","title":"Evaluating mathematical reasoning beyond accuracy, 2025","venue":null,"work_id":"3d738df6-1c17-4533-9b79-d60029b6f49f","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.699570Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:398490b85ef55540a0f87c9359fa18974dfeeb3f52122e7d36e726b8630313d0","observation_id":"ca804117-5b32-4cce-8081-768476b9c7d8","resolution":{"observed_at":"2026-08-07T05:52:20.355286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.325543Z","title":"Self- rewarding correction for mathematical reasoning, 2025","venue":null,"work_id":"3f0e76cf-4c11-4f0a-9f96-e2e0e6734e3a","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.704782Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:fb673ced86a2a85be2ce84635c8a9c1fe74503287474ee2effc7ff8719b4f223","observation_id":"808d93ca-bfa5-4bb6-ab6e-b4f49334e010","resolution":{"observed_at":"2026-08-07T05:52:20.332254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18600","last_updated":"2025-03-03T17:08:21Z","snapshot_observed_at":"2026-08-07T17:49:06.764625Z","submitted_at":"2025-02-25T19:36:06Z","title":"Chain of Draft: Thinking Faster by Writing Less","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18600","snapshot_observed_at":"2026-08-07T05:52:18.709683Z","title":"Chain of draft: Thinking faster by writing less.arXiv preprint arXiv:2502.18600, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.709683Z"},"links":{"cited_paper":"/paper/2502.18600","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:77b46425b279be1b065c9edb13447261778c9cab796fd343bf5df6978921dc6c","observation_id":"0975db52-ade9-4c12-9478-9b67ba297715","resolution":{"observed_at":"2026-08-07T05:52:18.709683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13116","last_updated":"2024-10-21T16:22:33Z","snapshot_observed_at":"2026-08-02T17:17:56.296462Z","submitted_at":"2024-02-20T16:17:37Z","title":"A Survey on Knowledge Distillation of Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13116","snapshot_observed_at":"2026-08-07T05:52:18.716069Z","title":"A survey on knowledge distillation of large language models.ArXiv, abs/2402.13116, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.716069Z"},"links":{"cited_paper":"/paper/2402.13116","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:93584b9918b6b2f5dfcf1a89215a2ea4da0c9b39cf4f4134692236f84868294a","observation_id":"921387af-cf4c-49ca-aa3b-d654b9bccbc5","resolution":{"observed_at":"2026-08-07T05:52:18.716069Z","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":"2026-08-07T05:52:20.296401Z","title":"Speculative thinking: Enhancing small-model reasoning with large model guidance at inference time, 2025","venue":null,"work_id":"d45974ec-f76c-486a-8137-533d09f2ffa6","year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.722971Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:23766adc0bafb19273b00103e04c7913d69c7acdf41d735c3a5ea8765d6973fc","observation_id":"2dc87fb3-dd29-43fd-a776-8a0a96d30319","resolution":{"observed_at":"2026-08-07T05:52:20.302726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:18.729575Z","title":"Limo: Less is more for reasoning, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.729575Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:d58dda48fe74044dbc990bcee22192e0f7d88650145f67634b5223d2c1c17aab","observation_id":"f64cde8d-47ba-4670-8bfb-fddf3e899c7d","resolution":{"observed_at":"2026-08-07T05:52:18.729575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06023","last_updated":"2024-07-24T18:40:36Z","snapshot_observed_at":"2026-07-31T10:52:02.949801Z","submitted_at":"2024-07-08T15:17:46Z","title":"Distilling System 2 into System 1","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06023","snapshot_observed_at":"2026-08-07T05:52:18.741862Z","title":"Distilling system 2 into system 1.arXiv preprint arXiv:2407.06023, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.741862Z"},"links":{"cited_paper":"/paper/2407.06023","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:282e33168efdee15e2f9b89db7f1a3034a1c7182f5712448e5669273a1bf1f96","observation_id":"fd60d37c-3213-4e06-b499-7b1b6659cc6e","resolution":{"observed_at":"2026-08-07T05:52:18.741862Z","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":"2026-08-07T05:52:18.747356Z","title":"Lightthinker: Thinking step-by-step compression.arXiv preprint arXiv:2502.15589, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.747356Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:9f9245718ec0d51606f96970657715fe5202e8c0c95683c9684943baac832c73","observation_id":"2949428b-8459-4018-aba0-892a7f70b29b","resolution":{"observed_at":"2026-08-07T05:52:18.747356Z","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":"2026-08-07T05:52:20.240502Z","title":"overthinking","venue":null,"work_id":"076d342b-0d3f-4325-a28b-f7478d99189b","year":2023},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.758135Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:f3ebe2bafbef8e755e99c98c1826b48ce63cb5e7156bec0d5dcf69265e9ba85d","observation_id":"7fc39cd8-7b90-4396-ba62-d5c6921bb653","resolution":{"observed_at":"2026-08-07T05:52:20.250168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:20.209123Z","title":"superficial","venue":null,"work_id":"be7ae47e-6fa0-4c55-844b-ec5ce1b350b1","year":null},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.765184Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:9c7a15f9ccf40f87760bef77440c0d84de7b523ece30109329f525a6f8b3417a","observation_id":"6f862345-c001-49c0-80e1-01e3dfb86e8b","resolution":{"observed_at":"2026-08-07T05:52:20.216457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"8760.2725","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:52:18.943228Z","title":"amateur” model alongside a strong “expert","venue":null,"work_id":"73523d03-ce96-4971-8479-2845042dae30","year":null},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.771286Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:aebb0d32e1aadb313aa250ff6880835c765ab67d7692ab9fe7482c5f8c20f9b2","observation_id":"bbb2b939-ec51-431d-a773-8587325672fe","resolution":{"observed_at":"2026-08-07T05:52:18.959209Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:52:18.357209Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.357209Z"},"links":{"citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:e714f02ea5e9a94a7a768c63856544094f078503adbadad5068be71c60922823","observation_id":"ebc7f781-c373-4d5c-aa1f-477da3b00fa9","resolution":{"observed_at":"2026-08-07T05:52:18.357209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T14:49:41.287025Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding"},"reference_resolution":{"displayed":80,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":51,"verified_exact":2,"verified_fuzzy":26},"total_outbound_references":80},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2506.06998."}