{"as_of":"2026-08-13T19:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:668832afdd2d806e9712ff5193a5a2a7f38324d5ca16a74d6f370daff8ac19c0","coverage":[{"denominator":299,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T14:10:45.330594Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2608.10928/citation-record","integrity":"/paper/2608.10928/integrity","json":"/paper/2608.10928/citation-record.json","paper":"/paper/2608.10928"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T14:10:44.725786Z","title":"Proceedings of the 3rd Workshop on Noisy User-generated Text , pages =","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.725786Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:411543f559780d0c83cf60687e3c87a1862f48c68529e54a872ce873effa0d17","observation_id":"9d1cdd8a-6c8c-4431-8a09-15b2464a0570","resolution":{"observed_at":"2026-08-12T14:10:44.725786Z","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":"2026-08-12T14:10:44.731654Z","title":"Aho and Jeffrey D","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.731654Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:ded8c4f1f9ce845bb3ea4f967076478ba98cf8693f20ef6549b016e7e3bc5895","observation_id":"de1857dc-5b4e-40c9-8648-fa08b0dcf2c2","resolution":{"observed_at":"2026-08-12T14:10:44.731654Z","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":"2026-08-12T14:10:44.736765Z","title":null,"venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.736765Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:892f4eee8cf4068950b2471235283bc5fa46c4b6ad4a384ed1dbb4f71b829ca2","observation_id":"03d90520-612c-4d8f-89ca-50c07af7167e","resolution":{"observed_at":"2026-08-12T14:10:44.736765Z","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":"2026-08-12T14:10:44.742098Z","title":"Chandra and Dexter C","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.742098Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:23b8d54521ef4fb773725f374a86779a19e23a1f46967db7dbd9d9a837d1e536","observation_id":"f2ffbf62-d951-445b-be0f-b6838b180620","resolution":{"observed_at":"2026-08-12T14:10:44.742098Z","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":"2026-08-12T14:10:44.748244Z","title":"Scalable training of","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.748244Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:e0e411799d4befe14caf59dd8edd04ee20927dc853780a69c942345adc38ac4e","observation_id":"3f4d3306-af50-49b2-927b-1d2cef25bcbf","resolution":{"observed_at":"2026-08-12T14:10:44.748244Z","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":"2026-08-12T14:10:44.754573Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.754573Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:239f84bc31244846ea116bd18614a172f7012c8fdab19ff02d56726ecf7e5aa9","observation_id":"b0e33492-413e-4702-a21f-1970621f0fa6","resolution":{"observed_at":"2026-08-12T14:10:44.754573Z","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":"2026-08-12T14:10:44.761101Z","title":"Tetreault , title =","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.761101Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:270b73edb9f74a9b09bf4b419d74b4cc4c6d10a59dcee5ffe9c1d57e467cc3ae","observation_id":"05f30ca0-00aa-410c-b3c5-ba9a9643315c","resolution":{"observed_at":"2026-08-12T14:10:44.761101Z","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":"2026-08-12T14:10:44.768118Z","title":"A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.768118Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:666da9442e46f9a335af11daf8b7e8f3358d64272af8e53463fefd8fddb4619f","observation_id":"80e7c6e9-084f-4e3f-b205-267ccb23c02c","resolution":{"observed_at":"2026-08-12T14:10:44.768118Z","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":"2026-08-12T14:10:44.773623Z","title":"Billion-scale similarity search with","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.773623Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:557131c76d089e36126ff23049c2a46022c667963ddfc66c3ca49ea517273d76","observation_id":"5f199e08-60cd-419b-9a1b-ecdea1194b1d","resolution":{"observed_at":"2026-08-12T14:10:44.773623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.03533","last_updated":"2024-02-22T06:21:51Z","snapshot_observed_at":"2026-07-06T14:27:46.217000Z","submitted_at":"2022-12-07T09:25:54Z","title":"Text Embeddings by Weakly-Supervised Contrastive Pre-training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.03533","snapshot_observed_at":"2026-08-12T14:10:44.780066Z","title":"arXiv preprint arXiv:2212.03533 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.780066Z"},"links":{"cited_paper":"/paper/2212.03533","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:3ce893f12777c1fa21ac20424d2adae57a22a27014b888ea922c49354366cd77","observation_id":"03c4e833-d2d0-4bbe-8abf-b80fec4a0697","resolution":{"observed_at":"2026-08-12T14:10:44.780066Z","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":"2026-08-12T14:10:44.786158Z","title":"Hugging Face repository , howpublished =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.786158Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:5864eb4dda7a627cc5cdcb40a5b00732c8c8a7d4382f0758e03e9af0b9f456de","observation_id":"b46b1bf6-25d9-4e59-957e-164167ca8f0c","resolution":{"observed_at":"2026-08-12T14:10:44.786158Z","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":"2026-08-12T14:10:44.791486Z","title":"2002 , publisher=","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.791486Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:d7e4ee2033bb0296ab5dbf3ec1293b7727881c4703b7548c701e9d2d89245c27","observation_id":"4bdf1e94-1fdf-45f1-95f7-08d270a93c86","resolution":{"observed_at":"2026-08-12T14:10:44.791486Z","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":"2026-08-12T14:10:44.797269Z","title":"1999 , publisher=","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.797269Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:8c60b5dc5daa9e89d5421565725e2c58f7fdc57e74b4dee8a06a2973829cd93d","observation_id":"d35a761f-490a-4fb1-b8b9-a9d0e7c5fcc5","resolution":{"observed_at":"2026-08-12T14:10:44.797269Z","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":"2026-08-12T14:10:44.804110Z","title":"2006 , publisher=","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.804110Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:116b94fee3741c45bb83c1b508b9e0c00e0cf7fb8c2d870a21099c1dea673cb3","observation_id":"737e3377-b0ec-45e2-8d0f-ee67e656315e","resolution":{"observed_at":"2026-08-12T14:10:44.804110Z","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":"2026-08-12T14:10:44.809779Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.809779Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:1a65a94e7a80d715e50cf22ab8916dbce21168ed8e2f52df0399ebd879bc6482","observation_id":"a8f42a19-bb58-4727-a518-50434218372f","resolution":{"observed_at":"2026-08-12T14:10:44.809779Z","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":"2026-08-12T14:10:44.814966Z","title":"Advances in Neural Information Processing Systems 33 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.814966Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:10d10f3402f6265807d1d7ce1a841a1b4254f8c322d25649c16a8d3d4d381dda","observation_id":"b057bc00-dee4-415d-96c6-b045692481d0","resolution":{"observed_at":"2026-08-12T14:10:44.814966Z","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":"2026-08-12T14:10:44.820500Z","title":"Proceedings of the 3rd Workshop on Deep Learning for Low-Resource Natural Language Processing (DeepLo) at ACL , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.820500Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:007bed114bb77a12c727545979e5fd089929888452aae3fca5dc577379213339","observation_id":"6b00bdeb-d6d8-46fe-8e8d-3d04635e2ef5","resolution":{"observed_at":"2026-08-12T14:10:44.820500Z","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":"2026-08-12T14:10:44.826496Z","title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , year =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.826496Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:ad259ca66ea6972adf5529fbdc42e45571bfd058a17f3f21627af3409776215e","observation_id":"6f9164b6-773d-4b30-910e-1b4d4a0aea48","resolution":{"observed_at":"2026-08-12T14:10:44.826496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.05426","last_updated":"2018-02-19T19:19:51Z","snapshot_observed_at":"2026-08-11T00:55:53.228136Z","submitted_at":"2017-04-18T17:10:13Z","title":"A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.05426","snapshot_observed_at":"2026-08-12T14:10:44.832419Z","title":"arXiv preprint arXiv:1704.05426 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.832419Z"},"links":{"cited_paper":"/paper/1704.05426","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:c08e4488aea69ef36744668fa06b0b2ee1dbd299190ed64024205171e983c5ab","observation_id":"6fcebb53-a67f-4457-afe1-bf33278a0ea2","resolution":{"observed_at":"2026-08-12T14:10:44.832419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.16502","last_updated":"2025-06-19T17:56:16Z","snapshot_observed_at":"2026-08-06T23:35:09.019821Z","submitted_at":"2025-06-19T17:56:16Z","title":"Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.16502","snapshot_observed_at":"2026-08-12T14:10:44.838327Z","title":"arXiv preprint arXiv:2506.16502 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.838327Z"},"links":{"cited_paper":"/paper/2506.16502","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:b81be76534390d3377cbec76de3a522799dfbf64620c6eaf00664a2f6950ac00","observation_id":"ca950d40-fd9e-466d-8e8e-98abd231a52f","resolution":{"observed_at":"2026-08-12T14:10:44.838327Z","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":"2026-08-12T14:10:44.844879Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.844879Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:b315e1ff25493745d08bbf55b024a786d98b75092d49106c6e7b654d57816b57","observation_id":"b8c8423b-82de-4058-9edd-99545f4810e7","resolution":{"observed_at":"2026-08-12T14:10:44.844879Z","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":"2026-08-12T14:10:44.850373Z","title":"Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics , year =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.850373Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:9bdcd2465d2e1cd1bd74f46a4a4c65ccb56ce42d7ce8f852a465552bea4b8857","observation_id":"8dc3f3be-de7d-429b-a4fa-f901e47542f1","resolution":{"observed_at":"2026-08-12T14:10:44.850373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23513","last_updated":"2025-05-17T06:48:49Z","snapshot_observed_at":"2026-08-10T12:57:12.180626Z","submitted_at":"2025-03-30T16:49:44Z","title":"RARE: Retrieval-Augmented Reasoning Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23513","snapshot_observed_at":"2026-08-12T14:10:44.860132Z","title":"arXiv preprint arXiv:2503.23513 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.860132Z"},"links":{"cited_paper":"/paper/2503.23513","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:8755996f63905089198bcb842bc28af2fd0ee7f7b988abcbf2509f25fb6b8faf","observation_id":"0cc79510-2922-4657-9d5b-e4865207fefd","resolution":{"observed_at":"2026-08-12T14:10:44.860132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.24235","last_updated":"2025-05-04T15:48:08Z","snapshot_observed_at":"2026-08-11T13:17:40.816545Z","submitted_at":"2025-03-31T15:46:15Z","title":"A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.24235","snapshot_observed_at":"2026-08-12T14:10:44.866609Z","title":"arXiv preprint arXiv:2503.24235 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.866609Z"},"links":{"cited_paper":"/paper/2503.24235","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:f6219f4348a5134dc743971b6bdce1925e27b828cc3c68d0e8468f87df90ad77","observation_id":"3a484fbb-95fc-4a5a-b14c-71055231dca0","resolution":{"observed_at":"2026-08-12T14:10:44.866609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-12T14:10:44.873187Z","title":"arXiv preprint arXiv:2312.10997 , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.873187Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:8a0809b38b59bb8703349adcd642d5a7914e8dea1b3e08e158a96bd28cf708a7","observation_id":"614f2e88-de0c-4b4a-af0e-8d270ca9ea92","resolution":{"observed_at":"2026-08-12T14:10:44.873187Z","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":"2026-08-12T14:10:44.880686Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.880686Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:d3ffb79cdee38bb56b6495d8c3b578d1573b509bd6e9e88eacaefba2c8ae5395","observation_id":"682b03f0-1fab-47a4-bb0c-63abb105997a","resolution":{"observed_at":"2026-08-12T14:10:44.880686Z","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":"2026-08-12T14:10:44.886488Z","title":"Advances in Neural Information Processing Systems 36 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.886488Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:8e078285259dcaf80906ee45a7be3c5d1a76962959c75feae1069f765789f577","observation_id":"70edea87-906e-476e-876d-b02e5f0c839c","resolution":{"observed_at":"2026-08-12T14:10:44.886488Z","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":"2026-08-12T14:10:44.892366Z","title":"Proceedings of the 2024 conference on empirical methods in natural language processing , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.892366Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:f941f7a7925f976e2c44a281bace0e54a3c713364b03264088ebe56093ef150d","observation_id":"97ab423d-dac8-4453-9cbf-da9e29e3b315","resolution":{"observed_at":"2026-08-12T14:10:44.892366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14128","last_updated":"2023-05-23T14:55:25Z","snapshot_observed_at":"2026-08-13T11:35:29.754840Z","submitted_at":"2023-05-23T14:55:25Z","title":"Dr.ICL: Demonstration-Retrieved In-context Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14128","snapshot_observed_at":"2026-08-12T14:10:44.898675Z","title":"icl: Demonstration-retrieved in-context learning , author=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.898675Z"},"links":{"cited_paper":"/paper/2305.14128","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:bee014f71e21e97c673015edfbedfc49eeb8ca4e1074197ac17e551ee0113506","observation_id":"a3a5a525-9fd4-4e08-adfe-ce6c70315d8c","resolution":{"observed_at":"2026-08-12T14:10:44.898675Z","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":"2026-08-12T14:10:44.909893Z","title":"Proceedings of the 2023 Conference of the Association for Computational Linguistics , year =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.909893Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:9338d33d508797263d9fb286424da02fbcbc487bdc63f5c7fe5d9f154d93f242","observation_id":"2d773063-55f4-4d0a-9b46-ab4e865021d1","resolution":{"observed_at":"2026-08-12T14:10:44.909893Z","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":"2026-08-12T14:10:44.917051Z","title":"2023 , eprint =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.917051Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:3d0e254ba9c64ba504c5ababb9d9399432bfa65c0aa5f87c7f5fe0feda3acb82","observation_id":"94706490-910e-4a9f-a658-046755fd5c66","resolution":{"observed_at":"2026-08-12T14:10:44.917051Z","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":"2026-08-12T14:10:44.922958Z","title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.922958Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:e7a3110e6d968033a5c1b4b7fe07421ac459acc10868284d452ed7bc2c268edb","observation_id":"072199dc-f5cb-4005-90db-eb45736c78ec","resolution":{"observed_at":"2026-08-12T14:10:44.922958Z","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":"2026-08-12T14:10:44.928806Z","title":"Proceedings of the 40th International Conference on Machine Learning , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.928806Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:7203e0240087e16773bda519fb080b9318ffd0191f9c4c570c24bd13df2b9475","observation_id":"886b5505-fd2a-4a6d-8d63-6ee30ea3bf56","resolution":{"observed_at":"2026-08-12T14:10:44.928806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1102.3975","last_updated":"2011-02-25T01:12:26Z","snapshot_observed_at":"2026-08-13T06:22:20.416980Z","submitted_at":"2011-02-19T07:25:00Z","title":"Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1102.3975","snapshot_observed_at":"2026-08-12T14:10:44.934441Z","title":"arXiv preprint arXiv:1102.3975 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.934441Z"},"links":{"cited_paper":"/paper/1102.3975","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:a9a453c91601a6faab698db5aa929d0ba3210691c7899a4ed503ad2eb138144d","observation_id":"0c364dc2-53db-4f09-a668-3c5427019f2f","resolution":{"observed_at":"2026-08-12T14:10:44.934441Z","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":"2026-08-12T14:10:44.940229Z","title":"Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.940229Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:3062c70ff6d21438e7336146b36e5c696081103878939d4959cfaf0f6f845fcf","observation_id":"4ff2d43c-bc7e-4aaf-a54c-42df7d1d6120","resolution":{"observed_at":"2026-08-12T14:10:44.940229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.08306","last_updated":"2021-05-18T06:46:48Z","snapshot_observed_at":"2026-08-12T21:08:24.924071Z","submitted_at":"2021-05-18T06:46:48Z","title":"Sample Efficient Linear Meta-Learning by Alternating Minimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.08306","snapshot_observed_at":"2026-08-12T14:10:44.946179Z","title":"arXiv preprint arXiv:2105.08306 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.946179Z"},"links":{"cited_paper":"/paper/2105.08306","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:a4c73c97293166816a41db44b85b8bf374f9e676aea97018e556a1527e7583cf","observation_id":"c7ef8b83-49ce-4ac0-9c6b-95af26dd96b4","resolution":{"observed_at":"2026-08-12T14:10:44.946179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16816","last_updated":"2024-08-07T19:47:21Z","snapshot_observed_at":"2026-08-13T00:22:03.160794Z","submitted_at":"2024-04-25T17:57:36Z","title":"IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16816","snapshot_observed_at":"2026-08-12T14:10:44.952594Z","title":"arXiv preprint arXiv:2404.16816 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.952594Z"},"links":{"cited_paper":"/paper/2404.16816","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:b9cfb3360420d033b6fe7bcbcc814bd3e385e43dc503e2457e21b77f00815f26","observation_id":"9b016ba5-fb32-4c9a-ac7a-6428fdac6816","resolution":{"observed_at":"2026-08-12T14:10:44.952594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07463","last_updated":"2024-04-02T21:18:00Z","snapshot_observed_at":"2026-08-13T05:26:56.789249Z","submitted_at":"2023-11-13T16:45:37Z","title":"MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07463","snapshot_observed_at":"2026-08-12T14:10:44.961221Z","title":"arXiv preprint arXiv:2311.07463 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.961221Z"},"links":{"cited_paper":"/paper/2311.07463","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:28a47b5dd3a27a756d1dfb22d80c313066716ee330fe0e5c21cc2146e947f413","observation_id":"8fd486e3-0333-4ec6-8e5e-4a90625f7b90","resolution":{"observed_at":"2026-08-12T14:10:44.961221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1702.01806","last_updated":"2017-06-14T01:00:18Z","snapshot_observed_at":"2026-07-06T05:29:01.228177Z","submitted_at":"2017-02-06T22:08:46Z","title":"Beam Search Strategies for Neural Machine Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.01806","snapshot_observed_at":"2026-08-12T14:10:44.967747Z","title":"arXiv preprint arXiv:1702.01806 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.967747Z"},"links":{"cited_paper":"/paper/1702.01806","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:145af21f87964852375251a21af62e649d9e7d771951a69706cb59b7e36ec613","observation_id":"b0e13c75-1279-44e3-8ce9-d589a0c15137","resolution":{"observed_at":"2026-08-12T14:10:44.967747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09751","last_updated":"2020-02-14T21:56:30Z","snapshot_observed_at":"2026-07-06T07:47:32.745963Z","submitted_at":"2019-04-22T07:17:18Z","title":"The Curious Case of Neural Text Degeneration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09751","snapshot_observed_at":"2026-08-12T14:10:44.973887Z","title":"arXiv preprint arXiv:1904.09751 , year=","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.973887Z"},"links":{"cited_paper":"/paper/1904.09751","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:428ce27e65672bfa4f24eefed52fccc948db1c0e69707e4aacb6d11965335310","observation_id":"3cf16988-7e61-44dd-8e6e-b8991d5597d8","resolution":{"observed_at":"2026-08-12T14:10:44.973887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.04833","last_updated":"2018-05-13T07:07:08Z","snapshot_observed_at":"2026-07-06T06:38:48.758485Z","submitted_at":"2018-05-13T07:07:08Z","title":"Hierarchical Neural Story Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.04833","snapshot_observed_at":"2026-08-12T14:10:44.982956Z","title":"arXiv preprint arXiv:1805.04833 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.982956Z"},"links":{"cited_paper":"/paper/1805.04833","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:3aae2910bcd3a9645c2449c5f385dc89c58bf5008ab8e430bbb52bf93271aeb4","observation_id":"7fe0d2de-853b-4962-85cc-6871a1ea55bb","resolution":{"observed_at":"2026-08-12T14:10:44.982956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.08633","last_updated":"2022-05-08T05:17:15Z","snapshot_observed_at":"2026-08-10T12:57:12.198694Z","submitted_at":"2021-12-16T05:17:56Z","title":"Learning To Retrieve Prompts for In-Context Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.08633","snapshot_observed_at":"2026-08-12T14:10:44.989481Z","title":"arXiv preprint arXiv:2112.08633 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.989481Z"},"links":{"cited_paper":"/paper/2112.08633","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:38a1188585e4c15449e865808e3400b25a8bbb6a115e1dafff1b6aecbfaf9c74","observation_id":"af5f4225-26c2-4989-933c-6ab976174797","resolution":{"observed_at":"2026-08-12T14:10:44.989481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06804","last_updated":"2021-01-17T23:38:40Z","snapshot_observed_at":"2026-08-12T17:43:05.787465Z","submitted_at":"2021-01-17T23:38:40Z","title":"What Makes Good In-Context Examples for GPT-$3$?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06804","snapshot_observed_at":"2026-08-12T14:10:44.995366Z","title":"arXiv preprint arXiv:2101.06804 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:44.995366Z"},"links":{"cited_paper":"/paper/2101.06804","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:d93d9c8ebf0df141d4b79c44d394258455b5cba513ad79e62e42c892f64759ab","observation_id":"f92096cd-92dc-4065-ba3e-f214c925185e","resolution":{"observed_at":"2026-08-12T14:10:44.995366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10375","last_updated":"2023-05-03T14:43:50Z","snapshot_observed_at":"2026-08-13T13:18:02.128610Z","submitted_at":"2022-12-20T15:55:21Z","title":"Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10375","snapshot_observed_at":"2026-08-12T14:10:45.001777Z","title":"arXiv preprint arXiv:2212.10375 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.001777Z"},"links":{"cited_paper":"/paper/2212.10375","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:805faff11802cacf9c2b88dc1b016c04ac28ed6149b342a1045d47241a5cf340","observation_id":"0a266c34-fd46-470e-b2ce-deb435316319","resolution":{"observed_at":"2026-08-12T14:10:45.001777Z","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":"2026-08-12T14:10:45.008589Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.008589Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:c05a9a98c6384789161ae4b71872530472e8ea116e27cfeb10ae45b3ded6d659","observation_id":"03032a00-6efe-4363-bd38-ede0b52470ff","resolution":{"observed_at":"2026-08-12T14:10:45.008589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-12T14:10:45.014437Z","title":"arXiv preprint arXiv:2407.10671 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.014437Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:efff8f8338437c088160152b48178454c671dc4d2401094d4da721f3e1d13020","observation_id":"bc4665f8-7284-4871-a98c-ec2dca651615","resolution":{"observed_at":"2026-08-12T14:10:45.014437Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-12T14:10:45.021525Z","title":"arXiv preprint arXiv:2307.09288 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.021525Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:0ef28fd1492b37739e2c4f94a46a0aca0271d80ca15ff19d3e4e4a81c8ae982e","observation_id":"e7996789-d07b-4aa8-948d-6d38f58e87ad","resolution":{"observed_at":"2026-08-12T14:10:45.021525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-12T14:10:45.027526Z","title":"arXiv preprint arXiv:2407.21783 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.027526Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:f13157bf97ff7ada29bdeac11a398607936a424bb98d7ee59f44c28887b380b8","observation_id":"fe534e4b-fee6-4156-bc78-3e6ebc122b8c","resolution":{"observed_at":"2026-08-12T14:10:45.027526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-08-10T14:07:02.234322Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-08-12T14:10:45.033121Z","title":"arXiv preprint arXiv:2404.14219 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.033121Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:98860e0a0b62f6fe0db7b7909239461d622eaeb0c8024277fc0494966fb01209","observation_id":"9359e3dc-a980-4530-a4e7-97badb0b77de","resolution":{"observed_at":"2026-08-12T14:10:45.033121Z","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":"2026-08-12T14:10:45.038354Z","title":"Advances in Applied Probability , volume=","venue":null,"work_id":null,"year":1975},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.038354Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:3d07966c879476fc7ecfd9672aa541504969ad213b236987f18833bbb72977f1","observation_id":"3433056e-789c-4548-aae6-acda6220f8cd","resolution":{"observed_at":"2026-08-12T14:10:45.038354Z","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":"2026-08-12T14:10:45.044632Z","title":"Communications in Mathematical Physics , volume=","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.044632Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:6022ce81356522c973237f0f56d1acd8263008e71d77dcb585608568e39769d9","observation_id":"380bdec3-c6d9-47e0-8601-b5f20881abb3","resolution":{"observed_at":"2026-08-12T14:10:45.044632Z","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":"2026-08-12T14:10:45.050004Z","title":"Journal of mathematical physics , volume=","venue":null,"work_id":null,"year":1973},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.050004Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:335e584ae1b7995a5fc131afc9385debf0b7ce9d6634f0e8b9a7942afb697b58","observation_id":"11f3953e-90c2-42b2-ac05-80d4530f70db","resolution":{"observed_at":"2026-08-12T14:10:45.050004Z","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":"2026-08-12T14:10:45.056637Z","title":"Foundations and Trends","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.056637Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:3e818e281f643a946bcdf00cfbf5d7507f80b9ad760616fe24d8e69103e9ed2f","observation_id":"b63ee02f-2be2-472b-8575-81f289896bc5","resolution":{"observed_at":"2026-08-12T14:10:45.056637Z","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":"2026-08-12T14:10:45.062042Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.062042Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:57129596af74e4426e009d4094ce5de1a8606ff27822a4075c42e1dfd5995f10","observation_id":"06c1d60e-7fb3-4933-b6a4-551ae36a3014","resolution":{"observed_at":"2026-08-12T14:10:45.062042Z","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":"2026-08-12T14:10:45.068743Z","title":"Qwen2.5: A Party of Foundation Models , url =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.068743Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:d41aae881649ee17c97dafde5474cbe02a1e65576d2724cd1c66cc94bc547d7c","observation_id":"fda4346e-0570-4881-9ad4-ed9b0464c2f4","resolution":{"observed_at":"2026-08-12T14:10:45.068743Z","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":"2026-08-12T14:10:45.074939Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.074939Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:e6fd028b5c6af9a9b6fd6d77fafe92d79ee1022ed1f76b2482016a93317605bd","observation_id":"f65cc6a4-4205-489f-8e41-006cb3ff819b","resolution":{"observed_at":"2026-08-12T14:10:45.074939Z","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":"2026-08-12T14:10:45.080101Z","title":"Proceedings of the tenth workshop on statistical machine translation , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.080101Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:2d0d810cab1afaf67c521a6ef7166e99da7b72a4b9a39df95e3925f873d36700","observation_id":"86e0bae6-dc9e-4731-9b73-a69dcac7565b","resolution":{"observed_at":"2026-08-12T14:10:45.080101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.03983","last_updated":"2022-07-06T19:51:48Z","snapshot_observed_at":"2026-08-13T15:48:05.320195Z","submitted_at":"2022-05-09T00:24:13Z","title":"Building Machine Translation Systems for the Next Thousand Languages","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.03983","snapshot_observed_at":"2026-08-12T14:10:45.086182Z","title":"arXiv preprint arXiv:2205.03983 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.086182Z"},"links":{"cited_paper":"/paper/2205.03983","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:3241da1f20b859a81554a96091e92d2033f17a0a53406f6c6ac44cc84480c2b1","observation_id":"7afa2029-6764-4005-8969-afb68651a06a","resolution":{"observed_at":"2026-08-12T14:10:45.086182Z","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":"2026-08-12T14:10:45.091943Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.091943Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:49e7c6500c4c3c7fdccc89a5887db1915b834793ea3403467ff66a3c64baeaa7","observation_id":"9f46c437-04f9-46ed-94fc-4e2bd7b0e5af","resolution":{"observed_at":"2026-08-12T14:10:45.091943Z","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":"2026-08-12T14:10:45.097394Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.097394Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:a09d9c793bdbe7dc40721d1ffeac451823fbafbde43ceae21dcb4f3dcf298a33","observation_id":"71af5342-fdaf-4018-8fe9-b103bda41f6e","resolution":{"observed_at":"2026-08-12T14:10:45.097394Z","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":"2026-08-12T14:10:45.103082Z","title":"2018 , eprint=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.103082Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:c6a221ec18e65b5ea4cfc42c6a72de87cad0b2d61883c8be36a41918c6848ea9","observation_id":"55edf958-b6f5-4cf8-b92c-62b60ced835f","resolution":{"observed_at":"2026-08-12T14:10:45.103082Z","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":"2026-08-12T14:10:45.109569Z","title":"Operations Research , volume=","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.109569Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:cee52e1df05f66dcb12c007f170d36de1257b4503fef3f67bab2576cce65a710","observation_id":"93864134-9f5c-4995-8a6a-c00725b9d062","resolution":{"observed_at":"2026-08-12T14:10:45.109569Z","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":"2026-08-12T14:10:45.115794Z","title":"Foundations and Trends","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.115794Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:a5e1a21a2a601a8c4c198a3a507b14fa0fc05bbae833816fbfb1dc8828a326b3","observation_id":"5ac60376-a701-4d68-8cce-bd1a51829d65","resolution":{"observed_at":"2026-08-12T14:10:45.115794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18098","last_updated":"2023-11-21T11:01:24Z","snapshot_observed_at":"2026-08-13T11:30:16.359584Z","submitted_at":"2023-05-29T14:07:52Z","title":"BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18098","snapshot_observed_at":"2026-08-12T14:10:45.121173Z","title":"arXiv preprint arXiv:2305.18098 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.121173Z"},"links":{"cited_paper":"/paper/2305.18098","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:0e42e0ddd50483f293d9b48299e1ea92a84cb16f32ffb55eef7c84bd96a78c29","observation_id":"f9500f8d-b926-426e-90d0-4631b55b85c2","resolution":{"observed_at":"2026-08-12T14:10:45.121173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04948","last_updated":"2023-10-09T14:08:40Z","snapshot_observed_at":"2026-08-13T10:37:55.538233Z","submitted_at":"2023-08-09T13:32:06Z","title":"Extrapolating Large Language Models to Non-English by Aligning Languages","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.04948","snapshot_observed_at":"2026-08-12T14:10:45.127153Z","title":"arXiv preprint arXiv:2308.04948 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.127153Z"},"links":{"cited_paper":"/paper/2308.04948","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:ae0f2d00b57274cb202f9411c17aa74623c5fab8264c0920f72fb74e20491e9d","observation_id":"3bdae875-7aa3-4f2f-8d51-f76f01b66b09","resolution":{"observed_at":"2026-08-12T14:10:45.127153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07827","last_updated":"2024-02-12T17:34:13Z","snapshot_observed_at":"2026-08-13T04:20:25.932319Z","submitted_at":"2024-02-12T17:34:13Z","title":"Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07827","snapshot_observed_at":"2026-08-12T14:10:45.132855Z","title":"arXiv preprint arXiv:2402.07827 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.132855Z"},"links":{"cited_paper":"/paper/2402.07827","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:6d469586e47253bd0d6b002839545caba4677753ad0956e7de76f065990d55d9","observation_id":"73c0463a-ff71-44f6-801d-650830e7f565","resolution":{"observed_at":"2026-08-12T14:10:45.132855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00838","last_updated":"2024-06-07T21:59:52Z","snapshot_observed_at":"2026-07-06T17:23:51.547578Z","submitted_at":"2024-02-01T18:28:55Z","title":"OLMo: Accelerating the Science of Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00838","snapshot_observed_at":"2026-08-12T14:10:45.138620Z","title":"arXiv preprint arXiv:2402.00838 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.138620Z"},"links":{"cited_paper":"/paper/2402.00838","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:75a247645f82f1984e82638c14e06a229887755ca194ef278e051e06ce4c46b6","observation_id":"ed3199a0-7489-411b-890e-0ddf1959e902","resolution":{"observed_at":"2026-08-12T14:10:45.138620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15011","last_updated":"2023-10-10T07:46:44Z","snapshot_observed_at":"2026-08-13T11:34:36.273693Z","submitted_at":"2023-05-24T10:50:31Z","title":"Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15011","snapshot_observed_at":"2026-08-12T14:10:45.144663Z","title":"arXiv preprint arXiv:2305.15011 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.144663Z"},"links":{"cited_paper":"/paper/2305.15011","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:07465a3f61c29bc2f66b05a959bf1324eb8f2a93bf09094abc78b33364e678f9","observation_id":"f1c35d00-2fc3-4bbd-b960-ee0ad81c66d2","resolution":{"observed_at":"2026-08-12T14:10:45.144663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.05940","last_updated":"2023-06-24T07:43:35Z","snapshot_observed_at":"2026-08-13T11:45:24.251938Z","submitted_at":"2023-05-10T07:24:36Z","title":"Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.05940","snapshot_observed_at":"2026-08-12T14:10:45.150445Z","title":"arXiv preprint arXiv:2305.05940 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.150445Z"},"links":{"cited_paper":"/paper/2305.05940","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:c5bc9d619be3a7877121312787c37c77084800d4a7e23707f52ef33642647d91","observation_id":"c977fe36-ed1e-42ae-b12f-a136e548b52f","resolution":{"observed_at":"2026-08-12T14:10:45.150445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01771","last_updated":"2024-06-03T20:25:12Z","snapshot_observed_at":"2026-08-12T23:51:07.746037Z","submitted_at":"2024-06-03T20:25:12Z","title":"LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01771","snapshot_observed_at":"2026-08-12T14:10:45.156102Z","title":"arXiv preprint arXiv:2406.01771 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.156102Z"},"links":{"cited_paper":"/paper/2406.01771","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:5b59c9725d4adf550241d7a4ae21214ee1b93f46e19407986faedc71f7c03cc1","observation_id":"13d28125-507a-4331-b782-ec0020e7dde9","resolution":{"observed_at":"2026-08-12T14:10:45.156102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.13161","last_updated":"2022-05-04T22:41:50Z","snapshot_observed_at":"2026-08-13T18:20:32.427164Z","submitted_at":"2021-08-30T12:29:25Z","title":"Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.13161","snapshot_observed_at":"2026-08-12T14:10:45.163317Z","title":"arXiv preprint arXiv:2108.13161 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.163317Z"},"links":{"cited_paper":"/paper/2108.13161","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:03900ba68d7f240957bf2e46b029f311564c946f41a480e929b8d92a35bcefd7","observation_id":"fb52b242-37c6-42c9-8349-e24c482fe024","resolution":{"observed_at":"2026-08-12T14:10:45.163317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.07684","last_updated":"2021-09-16T03:08:22Z","snapshot_observed_at":"2026-08-13T18:10:28.111485Z","submitted_at":"2021-09-16T03:08:22Z","title":"Language Models are Few-shot Multilingual Learners","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07684","snapshot_observed_at":"2026-08-12T14:10:45.169476Z","title":"arXiv preprint arXiv:2109.07684 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.169476Z"},"links":{"cited_paper":"/paper/2109.07684","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:82fe43ea7b93c4622d4b5dddc802ae20384a738e7a91932c01fa01499da9510c","observation_id":"dd2819d8-e033-49d2-89ed-05f15f72932d","resolution":{"observed_at":"2026-08-12T14:10:45.169476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07004","last_updated":"2023-10-22T13:43:27Z","snapshot_observed_at":"2026-08-13T13:44:06.302498Z","submitted_at":"2023-05-11T17:44:17Z","title":"Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07004","snapshot_observed_at":"2026-08-12T14:10:45.174772Z","title":"arXiv preprint arXiv:2305.07004 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.174772Z"},"links":{"cited_paper":"/paper/2305.07004","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:2a23850511a236cb72d59f8c2dbc0083090b71c0df21f6575c5afc58a57058ad","observation_id":"4a5b37f3-ded1-4323-a5eb-da8c0aa7df85","resolution":{"observed_at":"2026-08-12T14:10:45.174772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.01223","last_updated":"2023-08-02T15:29:22Z","snapshot_observed_at":"2026-08-13T10:42:28.193051Z","submitted_at":"2023-08-02T15:29:22Z","title":"Do Multilingual Language Models Think Better in English?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.01223","snapshot_observed_at":"2026-08-12T14:10:45.181129Z","title":"arXiv preprint arXiv:2308.01223 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.181129Z"},"links":{"cited_paper":"/paper/2308.01223","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:f2f1135df6e7e374172963132b106864f6d3f3bdc91628257eaff83ca4003129","observation_id":"dab48c56-aba4-4820-b87e-9d279aa6b8c7","resolution":{"observed_at":"2026-08-12T14:10:45.181129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07682","last_updated":"2022-10-26T05:06:24Z","snapshot_observed_at":"2026-08-02T15:56:35.249569Z","submitted_at":"2022-06-15T17:32:01Z","title":"Emergent Abilities of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07682","snapshot_observed_at":"2026-08-12T14:10:45.186703Z","title":"arXiv preprint arXiv:2206.07682 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.186703Z"},"links":{"cited_paper":"/paper/2206.07682","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:82c9a12c16b1a292368f0b6061b903c735f2d0b1111129466cef44b9a501ab2e","observation_id":"780ad13c-1bc7-4406-8073-925a4d01144e","resolution":{"observed_at":"2026-08-12T14:10:45.186703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-12T14:10:45.192335Z","title":"arXiv preprint arXiv:2005.14165 , volume=","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.192335Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:2105a4c1ad622842b9390c4e9e80ace1319ac6faf23721c2b226b2f3428c915e","observation_id":"430e9ca6-ca2a-48b9-bd9f-929a37278b28","resolution":{"observed_at":"2026-08-12T14:10:45.192335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.09977","last_updated":"2020-02-27T07:36:47Z","snapshot_observed_at":"2026-08-04T13:03:06.820772Z","submitted_at":"2020-01-27T18:53:15Z","title":"Towards a Human-like Open-Domain Chatbot","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.09977","snapshot_observed_at":"2026-08-12T14:10:45.198154Z","title":"arXiv preprint arXiv:2001.09977 , year=","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.198154Z"},"links":{"cited_paper":"/paper/2001.09977","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:90388046f941c8d173bac08972f0ecdbe66ba90e31cb3793334dec656972bcf6","observation_id":"5c4eda50-0b28-4008-ab52-862a26b89b90","resolution":{"observed_at":"2026-08-12T14:10:45.198154Z","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":"2026-08-12T14:10:45.203521Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.203521Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:1dc59feae6f4228c04813f79299f43dd54feab5f0a535715614f7ea7907575db","observation_id":"ad44dce5-83c8-4471-a8d3-8614b5fa69d3","resolution":{"observed_at":"2026-08-12T14:10:45.203521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.03648","last_updated":"2021-04-14T17:59:14Z","snapshot_observed_at":"2026-08-02T04:04:02.502414Z","submitted_at":"2020-10-07T20:56:40Z","title":"A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.03648","snapshot_observed_at":"2026-08-12T14:10:45.209066Z","title":"arXiv preprint arXiv:2010.03648 , year=","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.209066Z"},"links":{"cited_paper":"/paper/2010.03648","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:e364bba4532862ac68536215c9d8d2e7ab1f50e71c1b57c8d65ee99489e71cf8","observation_id":"3e6245be-6414-43cc-a0fc-42cd296c06b6","resolution":{"observed_at":"2026-08-12T14:10:45.209066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02080","last_updated":"2022-07-21T07:44:13Z","snapshot_observed_at":"2026-08-10T22:45:29.185791Z","submitted_at":"2021-11-03T09:12:33Z","title":"An Explanation of In-context Learning as Implicit Bayesian Inference","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02080","snapshot_observed_at":"2026-08-12T14:10:45.214989Z","title":"arXiv preprint arXiv:2111.02080 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.214989Z"},"links":{"cited_paper":"/paper/2111.02080","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:161a486961463a8943855fbc65eb98b1dc016d6d9e583a93861fa3e9f5707fb8","observation_id":"7fc5cf1d-4da3-4fc3-84f1-05573fd7e190","resolution":{"observed_at":"2026-08-12T14:10:45.214989Z","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":"2026-08-12T14:10:45.221307Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.221307Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:a33dce29eeb684edf8171c67c11515a5b6657549215cef9f727d1d7f35a37045","observation_id":"2a749479-07e1-4eec-a3bc-d0a238d9623f","resolution":{"observed_at":"2026-08-12T14:10:45.221307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10738","last_updated":"2024-06-16T13:26:10Z","snapshot_observed_at":"2026-08-13T04:17:31.452541Z","submitted_at":"2024-02-16T14:55:33Z","title":"Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10738","snapshot_observed_at":"2026-08-12T14:10:45.227028Z","title":"arXiv preprint arXiv:2402.10738 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.227028Z"},"links":{"cited_paper":"/paper/2402.10738","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:7783972dc41afcd9a93520f0daef926327c825af1aed521b2420cbd8bd3ac238","observation_id":"59f92b42-4ecf-4150-8cc1-ade5455fae8d","resolution":{"observed_at":"2026-08-12T14:10:45.227028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.01703","last_updated":"2022-06-06T19:04:24Z","snapshot_observed_at":"2026-08-13T15:50:38.917866Z","submitted_at":"2022-05-03T18:01:07Z","title":"Improving In-Context Few-Shot Learning via Self-Supervised Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.01703","snapshot_observed_at":"2026-08-12T14:10:45.232805Z","title":"arXiv preprint arXiv:2205.01703 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.232805Z"},"links":{"cited_paper":"/paper/2205.01703","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:62d70d0f348f2293002cdf300530a115acdbb6a7adb784973d6ff84889aacbf9","observation_id":"f39803a9-1115-439d-8c6c-cae4337f603c","resolution":{"observed_at":"2026-08-12T14:10:45.232805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.15943","last_updated":"2022-05-03T10:36:39Z","snapshot_observed_at":"2026-08-13T17:43:14.924746Z","submitted_at":"2021-10-29T17:42:08Z","title":"MetaICL: Learning to Learn In Context","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.15943","snapshot_observed_at":"2026-08-12T14:10:45.239716Z","title":"arXiv preprint arXiv:2110.15943 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.239716Z"},"links":{"cited_paper":"/paper/2110.15943","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:d1cbd7e70344fd2ac633d50e3919fbbaa2f9f183afbcbaefd47dbdcd3a6d8449","observation_id":"226aa54e-cdd5-4138-9507-13e4e33e8881","resolution":{"observed_at":"2026-08-12T14:10:45.239716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08298","last_updated":"2023-12-30T21:23:17Z","snapshot_observed_at":"2026-08-13T11:42:55.103409Z","submitted_at":"2023-05-15T01:59:58Z","title":"Symbol tuning improves in-context learning in language models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08298","snapshot_observed_at":"2026-08-12T14:10:45.245589Z","title":"arXiv preprint arXiv:2305.08298 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.245589Z"},"links":{"cited_paper":"/paper/2305.08298","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:99bd105d396b0359099922c1fb696f077b28ed8f8c936e41438b3b2c975f2315","observation_id":"4e43b4c2-c356-4be5-8fdf-56073370dc04","resolution":{"observed_at":"2026-08-12T14:10:45.245589Z","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":"2026-08-12T14:10:45.251049Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.251049Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:ce7f467b43a9a7cfde41d325e5abbbb159daa854da7d631895593c2bcdb64e28","observation_id":"5b7d0564-989a-4f84-9935-7c6aae665ad6","resolution":{"observed_at":"2026-08-12T14:10:45.251049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13509","last_updated":"2022-05-08T06:36:19Z","snapshot_observed_at":"2026-08-13T15:53:57.572647Z","submitted_at":"2022-04-28T13:59:54Z","title":"On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.13509","snapshot_observed_at":"2026-08-12T14:10:45.256410Z","title":"arXiv preprint arXiv:2204.13509 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.256410Z"},"links":{"cited_paper":"/paper/2204.13509","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:4e61baa8aed92ab96ffc724799f948b9e282bb52c27a85b9fe28d1065af3f264","observation_id":"1c5ffce6-fce0-45d9-bcb3-4210c2075ece","resolution":{"observed_at":"2026-08-12T14:10:45.256410Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12685","last_updated":"2022-10-24T17:44:25Z","snapshot_observed_at":"2026-08-13T15:37:22.270703Z","submitted_at":"2022-05-25T11:45:14Z","title":"Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.12685","snapshot_observed_at":"2026-08-12T14:10:45.262747Z","title":"arXiv preprint arXiv:2205.12685 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.262747Z"},"links":{"cited_paper":"/paper/2205.12685","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:5ebc228fccd397ee675e30a0b04cdb56e2046f8515f9ddaa3d374e53274ebcad","observation_id":"43366ecb-e7b7-4bd7-b7d9-ed2325890b48","resolution":{"observed_at":"2026-08-12T14:10:45.262747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.03846","last_updated":"2023-03-08T07:37:43Z","snapshot_observed_at":"2026-08-13T12:29:57.122699Z","submitted_at":"2023-03-07T12:24:17Z","title":"Larger language models do in-context learning differently","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.03846","snapshot_observed_at":"2026-08-12T14:10:45.268357Z","title":"arXiv preprint arXiv:2303.03846 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.268357Z"},"links":{"cited_paper":"/paper/2303.03846","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:534ddf1f04dfac8397f9ddaff645089d5019638338cfc4f69c1e1b9181635a7e","observation_id":"0275973a-d44e-4f1d-a9cd-ca94e0a4c497","resolution":{"observed_at":"2026-08-12T14:10:45.268357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.11895","last_updated":"2022-09-24T00:43:19Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-09-24T00:43:19Z","title":"In-context Learning and Induction Heads","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.11895","snapshot_observed_at":"2026-08-12T14:10:45.273802Z","title":"arXiv preprint arXiv:2209.11895 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.273802Z"},"links":{"cited_paper":"/paper/2209.11895","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:3b20d585b66b209634dcbc5b57a339a9bf1889dc6012a4db973305242743ce86","observation_id":"5b98da8c-09ca-4279-a341-781540137f5d","resolution":{"observed_at":"2026-08-12T14:10:45.273802Z","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":"2026-08-12T14:10:45.279285Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.279285Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:1895cdfdd6bf34b0999a41122d6f47e471596b945c4da4e78241ced1a54ecc02","observation_id":"cf15e515-eba8-4189-a868-740ea006d1f8","resolution":{"observed_at":"2026-08-12T14:10:45.279285Z","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":"2026-08-12T14:10:45.285233Z","title":"2023 , school=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.285233Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:7e46f83b545a50261d2c73b588d87ddd2b3ce01e4097ed4aeeb7e6abbf2591ef","observation_id":"5496ec41-39f0-4b18-b988-9c73b992742d","resolution":{"observed_at":"2026-08-12T14:10:45.285233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10559","last_updated":"2023-05-15T11:45:12Z","snapshot_observed_at":"2026-08-13T13:17:49.818952Z","submitted_at":"2022-12-20T18:58:48Z","title":"Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10559","snapshot_observed_at":"2026-08-12T14:10:45.290195Z","title":"arXiv preprint arXiv:2212.10559 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.290195Z"},"links":{"cited_paper":"/paper/2212.10559","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:3e2065bcbe46ac2fdd63863f054f4e1ff7b2f36f3369159504be84d29a004d64","observation_id":"81d0ca48-4423-4063-9338-db39dbc3e5a3","resolution":{"observed_at":"2026-08-12T14:10:45.290195Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08786","last_updated":"2022-03-03T12:10:58Z","snapshot_observed_at":"2026-07-06T11:01:05.577957Z","submitted_at":"2021-04-18T09:29:16Z","title":"Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08786","snapshot_observed_at":"2026-08-12T14:10:45.296239Z","title":"arXiv preprint arXiv:2104.08786 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.296239Z"},"links":{"cited_paper":"/paper/2104.08786","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:fa676c57493324318cea8f3ba192aefaa7e0038851497265b26964ae2ed5e399","observation_id":"ecb6741b-a826-440f-a3fd-6cb82f1d4d62","resolution":{"observed_at":"2026-08-12T14:10:45.296239Z","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":"2026-08-12T14:10:45.301901Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.301901Z"},"links":{"citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:be3b30bda5232831173a00e591f83508924bf6e78a2fe7f67e01180668cb001d","observation_id":"9aca7da0-c146-4748-83cd-274702c61616","resolution":{"observed_at":"2026-08-12T14:10:45.301901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10560","last_updated":"2023-05-25T23:50:07Z","snapshot_observed_at":"2026-08-13T09:27:17.327928Z","submitted_at":"2022-12-20T18:59:19Z","title":"Self-Instruct: Aligning Language Models with Self-Generated Instructions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10560","snapshot_observed_at":"2026-08-12T14:10:45.308234Z","title":"arXiv preprint arXiv:2212.10560 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.308234Z"},"links":{"cited_paper":"/paper/2212.10560","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:5149eeb9acff75732942a3f9cec0667a7dff2812a78ee1b8e6c70101abedee87","observation_id":"cb16ed0c-ff20-43f5-8fed-4316f95653a3","resolution":{"observed_at":"2026-08-12T14:10:45.308234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01910","last_updated":"2023-03-10T17:20:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-11-03T15:43:03Z","title":"Large Language Models Are Human-Level Prompt Engineers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.01910","snapshot_observed_at":"2026-08-12T14:10:45.313832Z","title":"arXiv preprint arXiv:2211.01910 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.313832Z"},"links":{"cited_paper":"/paper/2211.01910","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:ac9e1232a38de696fe6c685ba2681033d3d13f69c63111d0df7e3ee09278d011","observation_id":"f3a50f96-0d51-4425-b862-89bb32632667","resolution":{"observed_at":"2026-08-12T14:10:45.313832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03493","last_updated":"2022-10-07T12:28:21Z","snapshot_observed_at":"2026-07-06T14:01:50.333970Z","submitted_at":"2022-10-07T12:28:21Z","title":"Automatic Chain of Thought Prompting in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03493","snapshot_observed_at":"2026-08-12T14:10:45.320151Z","title":"arXiv preprint arXiv:2210.03493 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.320151Z"},"links":{"cited_paper":"/paper/2210.03493","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:686d1409147f80e6f793338d269af50692640e16c827c79faac68c12c05eb469","observation_id":"e4b3b2da-a8f5-4bdf-9398-a887e316e272","resolution":{"observed_at":"2026-08-12T14:10:45.320151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.06800","last_updated":"2023-06-24T15:49:31Z","snapshot_observed_at":"2026-08-13T13:22:36.055532Z","submitted_at":"2022-12-13T18:34:15Z","title":"Diverse Demonstrations Improve In-context Compositional Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.06800","snapshot_observed_at":"2026-08-12T14:10:45.325231Z","title":"arXiv preprint arXiv:2212.06800 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.325231Z"},"links":{"cited_paper":"/paper/2212.06800","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:f48b0ed84a37ec261d857ae99fbe30b010b06e352fa77806e2f49a857d71e68f","observation_id":"44c1ac1f-9d9f-411a-b91d-812cf007a13c","resolution":{"observed_at":"2026-08-12T14:10:45.325231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.11042","last_updated":"2023-06-05T17:49:58Z","snapshot_observed_at":"2026-08-13T14:19:51.901049Z","submitted_at":"2023-02-21T22:47:45Z","title":"In-context Example Selection with Influences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.11042","snapshot_observed_at":"2026-08-12T14:10:45.330594Z","title":"arXiv preprint arXiv:2302.11042 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-12T14:10:45.330594Z"},"links":{"cited_paper":"/paper/2302.11042","citing_paper":"/paper/2608.10928"},"observation_digest":"sha256:00d368c44198a4d05ee77720cac90f14b2e99da714786d25cb61436e703bce6f","observation_id":"e13caf4b-617d-4dcd-ada7-e67daa1b0d74","resolution":{"observed_at":"2026-08-12T14:10:45.330594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.10928","last_updated":"2026-08-11T13:58:07Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-13T19:46:13.052898Z","submitted_at":"2026-08-11T13:58:07Z","title":"ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":100,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":299},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 0 inbound Pith citation observations for arXiv:2608.10928."}