{"as_of":"2026-08-08T17:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b377685bfe67b677a4b5dba0ab827743df267f50a76d5f40b0959f0e653d3fc5","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T01:29:10.495601Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.25816/citation-record","integrity":"/paper/2607.25816/integrity","json":"/paper/2607.25816/citation-record.json","paper":"/paper/2607.25816"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T01:29:10.198228Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.198228Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:a316647dba7128fa81bd4d4b863ddf8d1ffb13685d04af131443087bd722b804","observation_id":"4aeec104-5b04-4f98-91de-a9dc57699ae0","resolution":{"observed_at":"2026-08-01T01:29:10.198228Z","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":"2026-08-01T01:29:10.204599Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.204599Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:41a9427dc9396b01e209bdba71f9a7f9a7cb63146e828c8d1a9be878a69b1dc8","observation_id":"f562e01d-a78c-4a0f-93d5-cfba18554be5","resolution":{"observed_at":"2026-08-01T01:29:10.204599Z","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":"2026-08-01T01:29:10.209322Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.209322Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:6e3047de176a41425d326ed196776a392faead311512eac996b2490ef4d044a4","observation_id":"9bddf530-aea5-408e-8d20-32c10f794d13","resolution":{"observed_at":"2026-08-01T01:29:10.209322Z","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":"2026-08-01T01:29:10.214056Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.214056Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:229bd42aea4b3890d476887cb17bab0e8b4aa55e3b292af6105961154cfd1d1f","observation_id":"f3cb68a1-f8ad-40da-8e98-4b10cfc750df","resolution":{"observed_at":"2026-08-01T01:29:10.214056Z","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":"2026-08-01T01:29:10.218688Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.218688Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:fbf8190fa8f23e88da3ac203c99941b63093faab415d93732db5d2d118ff1d9a","observation_id":"ef0773ba-f0ca-4c7c-bcc8-99e801416e14","resolution":{"observed_at":"2026-08-01T01:29:10.218688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04761","last_updated":"2023-02-09T16:49:57Z","snapshot_observed_at":"2026-07-06T14:50:07.491434Z","submitted_at":"2023-02-09T16:49:57Z","title":"Toolformer: Language Models Can Teach Themselves to Use Tools","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.04761","snapshot_observed_at":"2026-08-01T01:29:10.223194Z","title":"arXiv preprint arXiv:2302.04761 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.223194Z"},"links":{"cited_paper":"/paper/2302.04761","citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:acfab8a33c05dc09fc03cda1fb1d4179eae456581f3a529573ff7efe93bfad5c","observation_id":"9b299899-9cfb-4ea1-bbd6-c8b22c47e737","resolution":{"observed_at":"2026-08-01T01:29:10.223194Z","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":"2026-08-01T01:29:10.228005Z","title":"and Zhang, Tianjun and Wang, Xin and Gonzalez, Joseph E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.228005Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:a4680dd25441b062c21a019f7fbfe9f3f7db052a0936604f263fada58c49bbbf","observation_id":"b7e636ae-21d8-4686-a9e7-fe13b070b002","resolution":{"observed_at":"2026-08-01T01:29:10.228005Z","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":"2026-08-01T01:29:10.232804Z","title":"2023 , url =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.232804Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:27a7baa6bb40144cd00b4899f68c4e716d7a4fd5112925c34e61006faf136df5","observation_id":"7b2fd853-61b0-45b5-b04c-cd3001475380","resolution":{"observed_at":"2026-08-01T01:29:10.232804Z","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":"2026-08-01T01:29:10.236914Z","title":"2024 , url =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.236914Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:e18c8633a6af0653bdf54c51c5e5a31600b55dad711ede637b652c183958e6b3","observation_id":"beb21424-da5f-42c9-ac60-0b45ce07e06e","resolution":{"observed_at":"2026-08-01T01:29:10.236914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13958","last_updated":"2025-04-16T21:45:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-16T21:45:32Z","title":"ToolRL: Reward is All Tool Learning Needs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.13958","snapshot_observed_at":"2026-08-01T01:29:10.241324Z","title":"arXiv preprint arXiv:2504.13958 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.241324Z"},"links":{"cited_paper":"/paper/2504.13958","citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:52b6891f6f0c9124fe97eea3d9e2b7e993a9dac7c0d0f93c1664e439a5e59ab5","observation_id":"08e5cbf4-f3a8-451b-a628-b10a3ba63a35","resolution":{"observed_at":"2026-08-01T01:29:10.241324Z","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":"2026-08-01T01:29:10.246273Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.246273Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:13725f2648788143459ba5d8409e146063edb8826e99a0db8eab06edacfa569a","observation_id":"00822a05-993d-4234-881f-6dc3d9665621","resolution":{"observed_at":"2026-08-01T01:29:10.246273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01600","last_updated":"2025-03-08T05:23:57Z","snapshot_observed_at":"2026-08-08T15:31:54.736488Z","submitted_at":"2025-02-03T18:35:42Z","title":"Reinforcement Learning for Long-Horizon Interactive LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01600","snapshot_observed_at":"2026-08-01T01:29:10.250529Z","title":"Reinforcement Learning for Long-Horizon Interactive","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.250529Z"},"links":{"cited_paper":"/paper/2502.01600","citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:cfe370f9e1345fa9759531eea14a9c7c942796324940b0bb81afa34af2d83c49","observation_id":"5fa8e51b-6044-4349-84d4-f8d597be9f87","resolution":{"observed_at":"2026-08-01T01:29:10.250529Z","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":"2026-08-01T01:29:10.255262Z","title":"Reinforcing Multi-Turn Reasoning in","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.255262Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:8cd9953c29616ebd4b55d5ceeb9144fbe7671c31d1b125cdc5838536f99c90d7","observation_id":"f5b9924c-b166-4610-9782-41b0c237494a","resolution":{"observed_at":"2026-08-01T01:29:10.255262Z","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":"2026-08-01T01:29:10.259461Z","title":"and Yang, Yuqing , journal =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.259461Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:f15f8fa280c2e64c2c8bc70c3523064583137a41dd5e4ef238a070fc9320d79e","observation_id":"bf28eeb4-bcdc-4571-9b0c-7b50d90da55e","resolution":{"observed_at":"2026-08-01T01:29:10.259461Z","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":"2026-08-01T01:29:10.264018Z","title":"Proceedings of the 40th International Conference on Machine Learning , pages =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.264018Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:0b18ac78983f5abbde215e46f891ba0482e3c9bf9916739fbc59d5e56dc4a45b","observation_id":"6fbe8863-2a87-49cf-ad59-31d9208a4d85","resolution":{"observed_at":"2026-08-01T01:29:10.264018Z","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":"2026-08-01T01:29:10.268193Z","title":"Proceedings of the 33rd International Conference on Machine Learning , pages =","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.268193Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:f6c0975478b0124395d72e2f8e74061a9b603dd563416ea470f6117c84eeff35","observation_id":"ad80f869-6fd8-4a59-a13d-b52aca5c347c","resolution":{"observed_at":"2026-08-01T01:29:10.268193Z","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":"2026-08-01T01:29:10.272608Z","title":"and Quan, John and Kirkpatrick, James and Hadsell, Raia and Heess, Nicolas and Pascanu, Razvan , booktitle =","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.272608Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:2a86cdebe8034b00acb9793767a8da8bdbf813c603cf268be7806daeae4e4af3","observation_id":"754160c5-e483-4144-9bac-dd42e18fab2f","resolution":{"observed_at":"2026-08-01T01:29:10.272608Z","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":"2026-08-01T01:29:10.276642Z","title":"Proceedings of the 35th International Conference on Machine Learning , pages =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.276642Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:0ec35b661f1a3f30f947062fe9f06cb5ff241eeaeec2a85fa52c4b00f6e83c70","observation_id":"33be3215-0ceb-4d14-89e8-bb59edfa231d","resolution":{"observed_at":"2026-08-01T01:29:10.276642Z","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":"2026-08-01T01:29:10.280877Z","title":"Proceedings of the 30th International Conference on Machine Learning , pages =","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.280877Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:153945dd5dd302fa9d603ad2f74bbed9c658401d7447a4bcb89cb34b39795422","observation_id":"045c6aef-1207-4062-a478-de5c675e6ca6","resolution":{"observed_at":"2026-08-01T01:29:10.280877Z","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":"2026-08-01T01:29:10.284950Z","title":"International Conference on Learning Representations , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.284950Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:8ded9c4c4b52a099249847ad7645b1cd0a536305e7b28018e6258f9dcbdd37f0","observation_id":"be9de883-ab1d-4eb8-8a59-d4c9c4e4d7ec","resolution":{"observed_at":"2026-08-01T01:29:10.284950Z","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":"2026-08-01T01:29:10.289209Z","title":"International Conference on Learning Representations , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.289209Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:dd94d5dce83037c5c1d84bb635731ddf2b008ae4f9f31a724604b83f740710c6","observation_id":"5642a769-ce36-4f51-9cb1-a986669b2f11","resolution":{"observed_at":"2026-08-01T01:29:10.289209Z","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":"2026-08-01T01:29:10.293610Z","title":"arXiv preprint arXiv:2512.15834 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.293610Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:f41f6d7a8b3ff19144f89d921a4e238d6075004608a4a4a083209c2324277c5d","observation_id":"1c6680f5-211d-44f1-8756-b59bfa31f866","resolution":{"observed_at":"2026-08-01T01:29:10.293610Z","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":"2026-08-01T01:29:10.298784Z","title":"2026 , url =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.298784Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:f164059a48d171f5b97b10c93b8344ecf896564a2d61f0ca038a2ee16c743d01","observation_id":"955836c7-d9e0-4906-8731-3667aeacb856","resolution":{"observed_at":"2026-08-01T01:29:10.298784Z","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":"2026-08-01T01:29:10.303058Z","title":"Act While Thinking: Accelerating","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.303058Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:c4994f7e141bbec9d366958ea51d6663325f2b9a4438b1296f4796c9870cb1cd","observation_id":"75be8722-c25b-4cfc-94cd-459a4070c93d","resolution":{"observed_at":"2026-08-01T01:29:10.303058Z","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":"2026-08-01T01:29:10.307193Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.307193Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:4e515849191e54c9bdd561a60b6c5ac227e92eab2e73d9996db584a2e4523ef7","observation_id":"ff8fa9f3-5012-40bc-b786-a62e170ad5e6","resolution":{"observed_at":"2026-08-01T01:29:10.307193Z","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":"2026-08-01T01:29:10.311814Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.311814Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:1cbe3be6d22e9b55d02b9760f0908c46de674ba3d0de8cb68dc122508a224555","observation_id":"8e0d938d-8ac6-419a-bf81-0027b51f5004","resolution":{"observed_at":"2026-08-01T01:29:10.311814Z","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":"2026-08-01T01:29:10.315947Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.315947Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:adf5e4298328d31e4ef3efc4bc4a7dc65049f066e421f8e5b13b9a33943d0edd","observation_id":"45c749a3-2ac8-485e-8109-8d1bd0b4fd68","resolution":{"observed_at":"2026-08-01T01:29:10.315947Z","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":"2026-08-01T01:29:10.320085Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.320085Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:aad4401b296128b0f748dd80b7f518a2f32727388f91fd3235efa4c85c2a7fcf","observation_id":"27c7605e-f555-4340-8e1b-c47c41374737","resolution":{"observed_at":"2026-08-01T01:29:10.320085Z","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":"2026-08-01T01:29:10.324498Z","title":"Agentic Reasoning and Tool Integration for","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.324498Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:261a84ce647f570706544b339c67d47db241576309ac6ec4b9663246ae01fbb4","observation_id":"d15af115-704d-44ef-acf6-edb74cce65a4","resolution":{"observed_at":"2026-08-01T01:29:10.324498Z","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":"2026-08-01T01:29:10.328803Z","title":"Reducing Latency of","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.328803Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:937f6326e3e1d5d794bb99b6cc6039da6ceaacaeeac6a85fe4c4dcbdafc1d56f","observation_id":"cd156459-ad72-4bdf-9f4b-b0a4c9be3b2d","resolution":{"observed_at":"2026-08-01T01:29:10.328803Z","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":"2026-08-01T01:29:10.333227Z","title":"and Shao, Yakun Sophia and Gholami, Amir and Keutzer, Kurt , journal =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.333227Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:34d30440a79d437a9151a851013617860a881317df4e849bcc7ccb5f543851ba","observation_id":"1b4ce866-7325-4912-971a-7a83c83d4542","resolution":{"observed_at":"2026-08-01T01:29:10.333227Z","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":"2026-08-01T01:29:10.337328Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.337328Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:74fc41bf97d84de950d9bf430fdf93f7111382f3761b0c96df7d80e62d5016bf","observation_id":"a8bb7055-2ecd-4a49-8f47-17266187c361","resolution":{"observed_at":"2026-08-01T01:29:10.337328Z","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":"2026-08-01T01:29:10.341429Z","title":"Constitutional","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.341429Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:6e71ab014a052e1b53168d4d985c7b5aa04287dd5f4f3c44ec2b004201bb5b8d","observation_id":"a9dbe6c7-eab1-49c4-9467-bf895c06fee2","resolution":{"observed_at":"2026-08-01T01:29:10.341429Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-01T01:29:10.346037Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.346037Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:a4162ca5b107b35a4a88635afbf9e16d3c937eaf0c263731ae0c181a52087375","observation_id":"6255dc79-ce77-4c31-9776-58da77d38d48","resolution":{"observed_at":"2026-08-01T01:29:10.346037Z","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":"2026-08-01T01:29:10.350571Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.350571Z"},"links":{"cited_paper":"/paper/2501.12599","citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:faebdba0c24138d1e926573782e6cfb7040f8244dcf8aeca24877a739a63b747","observation_id":"35b65273-c233-4d19-873d-1ef73f4f1f39","resolution":{"observed_at":"2026-08-01T01:29:10.350571Z","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":"2026-08-01T01:29:10.355036Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.355036Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:cabe0a6d2f8c6f6f43ba6b7acc3c96b4fb375edbfe0a9d2c60e8407762d5ff90","observation_id":"a4210310-f8cc-4db8-a833-5706c129ae75","resolution":{"observed_at":"2026-08-01T01:29:10.355036Z","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":"2026-08-01T01:29:10.360011Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.360011Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:07ebfea0dc46e9e7e80fc2d5e6df4168b4baf7238a14ab18b0018ceaa1c410ce","observation_id":"d99af645-a315-4c9c-8d06-0c37000302ed","resolution":{"observed_at":"2026-08-01T01:29:10.360011Z","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":"2026-08-01T01:29:10.367926Z","title":"2026 , url =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.367926Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:040b07eacbbc592851ebf8c41de97efbc0d76ee3fb20d80ec2553d2c28f8afb3","observation_id":"636b8dc9-cc1a-422f-8bd6-5c02f3d44fd5","resolution":{"observed_at":"2026-08-01T01:29:10.367926Z","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":"2026-08-01T01:29:10.377940Z","title":"How Well Do Agentic Skills Work in the Wild: Benchmarking","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.377940Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:b902810165a983fd0c7606ea9ebc851685d3a99985d39a6c185210aac4109857","observation_id":"a6937dfa-1406-4f1c-9123-ed9bf63b79b3","resolution":{"observed_at":"2026-08-01T01:29:10.377940Z","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":"2026-08-01T01:29:10.388334Z","title":"Collision- and Reachability-Aware Multi-Robot Control with Grounded","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.388334Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:a727e078866501801c8c2defb38d03984c53b938a242ba4b8d8457688daf9f56","observation_id":"e5aec16c-162d-48d9-96b2-5efcbe5e0f32","resolution":{"observed_at":"2026-08-01T01:29:10.388334Z","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":"2026-08-01T01:29:10.400655Z","title":"2024 , url =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.400655Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:305ab6636e081dfda351c72aff4abef7df1b8c900ab5f20b2e78d94d6cbabef8","observation_id":"bc8fe96b-87b2-4167-8f48-e65555fdb621","resolution":{"observed_at":"2026-08-01T01:29:10.400655Z","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":"2026-08-01T01:29:10.413554Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.413554Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:b0a5e4678eddc44d617beddf2dffe9e19cfecb9e4725971e97dc8fe0cb1ef3de","observation_id":"b9d7c124-b8ea-4c5d-91bc-187e93dee996","resolution":{"observed_at":"2026-08-01T01:29:10.413554Z","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":"2026-08-01T01:29:10.426395Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.426395Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:d726fe98f3f91b2b6c54a0386f24bb97b28f81a1f1b48398ed1e0d0204108d63","observation_id":"390ddca3-4902-49e7-996e-70d38ee5aba4","resolution":{"observed_at":"2026-08-01T01:29:10.426395Z","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":"2026-08-01T01:29:10.436373Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.436373Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:4a619e0742d3dd087bf0ac9b754641e265bac17c3621fd4aa662f1504bfee514","observation_id":"8d322e66-218b-4f2e-9f27-81273e41d728","resolution":{"observed_at":"2026-08-01T01:29:10.436373Z","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":"2026-08-01T01:29:10.449904Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.449904Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:b3dfc83a6bd751f6c65b3d90b24bbab59735f5e4d30bffc2733691c2b9e19aa0","observation_id":"17f67c68-aa28-49dd-ab8a-f62263635181","resolution":{"observed_at":"2026-08-01T01:29:10.449904Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-01T01:29:10.464434Z","title":"2025 , url =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.464434Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:93208ccc0c14eb1aa8ed9ed835bd36c3acc25c18660775128e714b943893aacf","observation_id":"1fa30410-29fe-4e9b-a50a-8eafaf3b55af","resolution":{"observed_at":"2026-08-01T01:29:10.464434Z","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":"2026-08-01T01:29:10.478713Z","title":"Scaling Long-Horizon","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.478713Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:7f771267e41ce73f7ba21eb9074eddf3de38a657ca1e7852b7c4d51607477328","observation_id":"2b6f1484-098a-4afb-ac5b-31b300be8c7d","resolution":{"observed_at":"2026-08-01T01:29:10.478713Z","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":"2026-08-01T01:29:10.495601Z","title":"2021 , journal =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-01T01:29:10.495601Z"},"links":{"citing_paper":"/paper/2607.25816"},"observation_digest":"sha256:42dd17400af07541d9e2ed760f8f51fad965dff8661a23fd8d3436d1c2c1f20d","observation_id":"44a2ff8f-de8e-4414-af65-eaaaf5d94454","resolution":{"observed_at":"2026-08-01T01:29:10.495601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.25816","last_updated":"2026-07-28T15:00:10Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T11:10:24.236252Z","submitted_at":"2026-07-28T15:00:10Z","title":"Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":47,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":48},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.25816."}