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Paper Citation Record · LEDGER

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.10928 v1

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:10:45.330594Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 299 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d1cdd8a-6c8c-4431-8a09-15b2464a0570 · outbound

This paper cites Proceedings of the 3rd Workshop on Noisy User-generated Text , pages =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the 3rd Workshop on Noisy User-generated Text , pages =

Reference 1

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source=arxiv_source observed=2026-08-12T14:10:44.725786Z digest=sha256:366edc0639772ab6f535a5747e38813bcb8093bcc9bbbb28054a04e11de3dd23

Observation de1857dc-5b4e-40c9-8648-fa08b0dcf2c2 · outbound

This paper cites Aho and Jeffrey D.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Aho and Jeffrey D

Reference 2

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source=arxiv_source observed=2026-08-12T14:10:44.731654Z digest=sha256:b0e53d1cf8fe20559f9f6fbc7ee0056e59d3bf7f5b6c1c1d39d33f5098267ed0

Observation 03d90520-612c-4d8f-89ca-50c07af7167e · outbound

This paper cites an unresolved cited work.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-12T14:10:44.736765Z digest=sha256:355acb58c9790425d3e469601748e3feaa16064422fc737418c7433fc23ce43e

Observation f2ffbf62-d951-445b-be0f-b6838b180620 · outbound

This paper cites Chandra and Dexter C.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Chandra and Dexter C

Reference 4

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source=arxiv_source observed=2026-08-12T14:10:44.742098Z digest=sha256:34d013c6bd9193d60c57053637798220d6a3b7638a45c3f49b7fa49aaf258cd1

Observation 3f4d3306-af50-49b2-927b-1d2cef25bcbf · outbound

This paper cites Scalable training of.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Scalable training of

Reference 5

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source=arxiv_source observed=2026-08-12T14:10:44.748244Z digest=sha256:66c2171428e7f29d0b40349a40f1738c76bb29be2783c20654eccbe82dc94482

Observation b0e33492-413e-4702-a21f-1970621f0fa6 · outbound

This paper cites an unresolved cited work.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-12T14:10:44.754573Z digest=sha256:d901c829a409a22e8a097b56c9c20d64949f5746270899344a458d61a1d718a9

Observation 05f30ca0-00aa-410c-b3c5-ba9a9643315c · outbound

This paper cites Tetreault , title =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Tetreault , title =

Reference 7

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source=arxiv_source observed=2026-08-12T14:10:44.761101Z digest=sha256:7cbf8c8418b8ff12d0ef8e72cbb83e4b331dcc47abe5cb3f12041f02ce4d914e

Observation 80e7c6e9-084f-4e3f-b205-267ccb23c02c · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 8

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source=arxiv_source observed=2026-08-12T14:10:44.768118Z digest=sha256:f44a9238ac36a87b27e5e453d157dcd7d7bb0c924de7ced62b6bcd74083ac2d4

Observation 5f199e08-60cd-419b-9a1b-ecdea1194b1d · outbound

This paper cites Billion-scale similarity search with.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Billion-scale similarity search with

Reference 9

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Observation 03c4e833-d2d0-4bbe-8abf-b80fec4a0697 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 10

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Observation b46b1bf6-25d9-4e59-957e-164167ca8f0c · outbound

This paper cites Hugging Face repository , howpublished =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Hugging Face repository , howpublished =

Reference 11

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Observation 4bdf1e94-1fdf-45f1-95f7-08d270a93c86 · outbound

This paper cites 2002 , publisher=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling 2002 , publisher=

Reference 12

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Observation d35a761f-490a-4fb1-b8b9-a9d0e7c5fcc5 · outbound

This paper cites 1999 , publisher=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling 1999 , publisher=

Reference 13

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Observation 737e3377-b0ec-45e2-8d0f-ee67e656315e · outbound

This paper cites 2006 , publisher=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling 2006 , publisher=

Reference 14

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Observation a8f42a19-bb58-4727-a518-50434218372f · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 15

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source=arxiv_source observed=2026-08-12T14:10:44.809779Z digest=sha256:11fd133af618e00a5c3efd4455e6f2acc07c57b507a6c33afc2f0cc47eefb669

Observation b057bc00-dee4-415d-96c6-b045692481d0 · outbound

This paper cites Advances in Neural Information Processing Systems 33 , year =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Advances in Neural Information Processing Systems 33 , year =

Reference 16

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Observation 6b00bdeb-d6d8-46fe-8e8d-3d04635e2ef5 · outbound

This paper cites Proceedings of the 3rd Workshop on Deep Learning for Low-Resource Natural Language Processing (DeepLo) at ACL , year =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the 3rd Workshop on Deep Learning for Low-Resource Natural Language Processing (DeepLo) at ACL , year =

Reference 17

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source=arxiv_source observed=2026-08-12T14:10:44.820500Z digest=sha256:2ffe41148252b19111f268896b35fb6deb81dfa3c03236f7c694e5f0aecd4392

Observation 6f9164b6-773d-4b30-910e-1b4d4a0aea48 · outbound

This paper cites Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , year =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , year =

Reference 18

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Observation 6fcebb53-a67f-4457-afe1-bf33278a0ea2 · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 19

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Observation ca950d40-fd9e-466d-8e8e-98abd231a52f · outbound

This paper cites Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples

Reference 20

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Observation b8c8423b-82de-4058-9edd-99545f4810e7 · outbound

This paper cites an unresolved cited work.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Unresolved cited work

Reference 21

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Observation 8dc3f3be-de7d-429b-a4fa-f901e47542f1 · outbound

This paper cites Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics , year =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics , year =

Reference 22

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Observation 0cc79510-2922-4657-9d5b-e4865207fefd · outbound

This paper cites RARE: Retrieval-Augmented Reasoning Modeling.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling RARE: Retrieval-Augmented Reasoning Modeling

Reference 23

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source=arxiv_source observed=2026-08-12T14:10:44.860132Z digest=sha256:590c466b1b1901945ac21535acabb966a3034cad8056575ccbf002d31a2dfc0a

Observation 3a484fbb-95fc-4a5a-b14c-71055231dca0 · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 24

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source=arxiv_source observed=2026-08-12T14:10:44.866609Z digest=sha256:df27efe4ef9ee560ef2484f61212c178e3feddb1afad03a7414138ecdb86bb72

Observation 614f2e88-de0c-4b4a-af0e-8d270ca9ea92 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 25

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source=arxiv_source observed=2026-08-12T14:10:44.873187Z digest=sha256:a04150e6623c1c7e0d7faa8fc42e5dfb77515aa1360f74efa4f463c0fb5d50ff

Observation 682b03f0-1fab-47a4-bb0c-63abb105997a · outbound

This paper cites Advances in neural information processing systems , volume=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Advances in neural information processing systems , volume=

Reference 26

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Observation 70edea87-906e-476e-876d-b02e5f0c839c · outbound

This paper cites Advances in Neural Information Processing Systems 36 , year =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Advances in Neural Information Processing Systems 36 , year =

Reference 27

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Observation 97ab423d-dac8-4453-9cbf-da9e29e3b315 · outbound

This paper cites Proceedings of the 2024 conference on empirical methods in natural language processing , pages=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the 2024 conference on empirical methods in natural language processing , pages=

Reference 28

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Observation a3a5a525-9fd4-4e08-adfe-ce6c70315d8c · outbound

This paper cites Dr.ICL: Demonstration-Retrieved In-context Learning.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 29

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Observation 2d773063-55f4-4d0a-9b46-ab4e865021d1 · outbound

This paper cites Proceedings of the 2023 Conference of the Association for Computational Linguistics , year =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the 2023 Conference of the Association for Computational Linguistics , year =

Reference 30

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Observation 94706490-910e-4a9f-a658-046755fd5c66 · outbound

This paper cites 2023 , eprint =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling 2023 , eprint =

Reference 31

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Observation 072199dc-f5cb-4005-90db-eb45736c78ec · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year =

Reference 32

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Observation 886b5505-fd2a-4a6d-8d63-6ee30ea3bf56 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , year =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the 40th International Conference on Machine Learning , year =

Reference 33

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Observation 0c364dc2-53db-4f09-a668-3c5427019f2f · outbound

This paper cites Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection

Reference 34

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Observation 4ff2d43c-bc7e-4aaf-a54c-42df7d1d6120 · outbound

This paper cites Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 35

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Observation c7ef8b83-49ce-4ac0-9c6b-95af26dd96b4 · outbound

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ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Sample Efficient Linear Meta-Learning by Alternating Minimization

Reference 36

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Observation 9b016ba5-fb32-4c9a-ac7a-6428fdac6816 · outbound

This paper cites IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages

Reference 37

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source=arxiv_source observed=2026-08-12T14:10:44.952594Z digest=sha256:10e4fa9185c28434277e8a13db907e7df3e5e6af3e33891a36fc3f439a84298b

Observation 8fd486e3-0333-4ec6-8e5e-4a90625f7b90 · outbound

This paper cites MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Reference 38

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source=arxiv_source observed=2026-08-12T14:10:44.961221Z digest=sha256:1c9a2ad81d16480b9b63c6a9c82ece589e244e13cbab4f5ba0b53d2d1ad30808

Observation b0e13c75-1279-44e3-8ce9-d589a0c15137 · outbound

This paper cites Beam Search Strategies for Neural Machine Translation.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Beam Search Strategies for Neural Machine Translation

Reference 39

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source=arxiv_source observed=2026-08-12T14:10:44.967747Z digest=sha256:460fdef3b709d1115d425d570a95f1b3fcd73e5e535fc6276e7a5ee705a8e6e7

Observation 3cf16988-7e61-44dd-8e6e-b8991d5597d8 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling The Curious Case of Neural Text Degeneration

Reference 40

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source=arxiv_source observed=2026-08-12T14:10:44.973887Z digest=sha256:213b2055d828e4031babd75e996708b077668b6cdfe8dcd020af077d13a686ff

Observation 7fe0d2de-853b-4962-85cc-6871a1ea55bb · outbound

This paper cites Hierarchical Neural Story Generation.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Hierarchical Neural Story Generation

Reference 41

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source=arxiv_source observed=2026-08-12T14:10:44.982956Z digest=sha256:54ecde4b35622d939b50697c09c345330e16e6e30f710d38927a86845dbcee89

Observation af5f4225-26c2-4989-933c-6ab976174797 · outbound

This paper cites Learning To Retrieve Prompts for In-Context Learning.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Learning To Retrieve Prompts for In-Context Learning

Reference 42

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source=arxiv_source observed=2026-08-12T14:10:44.989481Z digest=sha256:19884ca12dddb8baf3c47325019a2fbda257d5aeea0680d01592dbb1b1895aad

Observation f92096cd-92dc-4065-ba3e-f214c925185e · outbound

This paper cites What Makes Good In-Context Examples for GPT-$3$?.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling What Makes Good In-Context Examples for GPT-$3$?

Reference 43

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source=arxiv_source observed=2026-08-12T14:10:44.995366Z digest=sha256:5447d63088f4f26611bd96cba38bcd677c8ef7b87e05e31949c5df1710c1d8bb

Observation 0a266c34-fd46-470e-b2ce-deb435316319 · outbound

This paper cites Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 44

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source=arxiv_source observed=2026-08-12T14:10:45.001777Z digest=sha256:25c32d488e04de54deb07bd5ec1495c872d59e07b03ccc8138c91ac51face5b8

Observation 03032a00-6efe-4363-bd38-ede0b52470ff · outbound

This paper cites International Conference on Machine Learning , pages=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling International Conference on Machine Learning , pages=

Reference 45

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source=arxiv_source observed=2026-08-12T14:10:45.008589Z digest=sha256:e279968933fbddc5c08335a19379d7665140d2a6108246e0da8ef5ec0f3a5984

Observation bc4665f8-7284-4871-a98c-ec2dca651615 · outbound

This paper cites Qwen2 Technical Report.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Qwen2 Technical Report

Reference 46

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source=arxiv_source observed=2026-08-12T14:10:45.014437Z digest=sha256:a55af71b221d8098b2e5a6bb990771557415d507073e8ecb19b05c0261705f5f

Observation e7996789-d07b-4aa8-948d-6d38f58e87ad · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 47

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source=arxiv_source observed=2026-08-12T14:10:45.021525Z digest=sha256:31d63e8949ecfdfd528fdc608796a9e6074df6284fe923456b72519279715062

Observation fe534e4b-fee6-4156-bc78-3e6ebc122b8c · outbound

This paper cites The Llama 3 Herd of Models.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling The Llama 3 Herd of Models

Reference 48

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source=arxiv_source observed=2026-08-12T14:10:45.027526Z digest=sha256:079643159bae98f014f6a208a5a2a6b943ed053297a2f1d3443583d5ec901685

Observation 9359e3dc-a980-4530-a4e7-97badb0b77de · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 49

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source=arxiv_source observed=2026-08-12T14:10:45.033121Z digest=sha256:8b1e8aaca45f1eb187ee5e4a77f6c09daf7d8306d1993d5577b13f4fe46de2ae

Observation 3433056e-789c-4548-aae6-acda6220f8cd · outbound

This paper cites Advances in Applied Probability , volume=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Advances in Applied Probability , volume=

Reference 50

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source=arxiv_source observed=2026-08-12T14:10:45.038354Z digest=sha256:b4a958d66a8640de1dc8952a024098618ae7ad1d1151ef7c61825e658217feef

Observation 380bdec3-c6d9-47e0-8601-b5f20881abb3 · outbound

This paper cites Communications in Mathematical Physics , volume=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Communications in Mathematical Physics , volume=

Reference 51

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source=arxiv_source observed=2026-08-12T14:10:45.044632Z digest=sha256:ffc62ebf1eb3cc2c8ce647a2c73c753e3d78aa2f70585418414ac6292f782026

Observation 11f3953e-90c2-42b2-ac05-80d4530f70db · outbound

This paper cites Journal of mathematical physics , volume=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Journal of mathematical physics , volume=

Reference 52

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source=arxiv_source observed=2026-08-12T14:10:45.050004Z digest=sha256:908442d91a72fa95eb5ae1f07fa496080647a029f0bc26c5679e1bda39fe8b72

Observation b63ee02f-2be2-472b-8575-81f289896bc5 · outbound

This paper cites Foundations and Trends.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Foundations and Trends

Reference 53

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source=arxiv_source observed=2026-08-12T14:10:45.056637Z digest=sha256:ffec8c072397dcf1b58fd37d65438b730661f651bb5b3cf0f5cd15c6413dfb96

Observation 06c1d60e-7fb3-4933-b6a4-551ae36a3014 · outbound

This paper cites International conference on machine learning , pages=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling International conference on machine learning , pages=

Reference 54

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source=arxiv_source observed=2026-08-12T14:10:45.062042Z digest=sha256:fd1d1451d0a69bab2876ae25ffc67f79853b01ea1a4945d4be34a0694ca45e3e

Observation fda4346e-0570-4881-9ad4-ed9b0464c2f4 · outbound

This paper cites Qwen2.5: A Party of Foundation Models , url =.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Qwen2.5: A Party of Foundation Models , url =

Reference 55

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source=arxiv_source observed=2026-08-12T14:10:45.068743Z digest=sha256:eb8ffab7722cfa97c2dd4654836b848ac22c3727a021c79098a4202c83e4c8c0

Observation f65cc6a4-4205-489f-8e41-006cb3ff819b · outbound

This paper cites 2024 , eprint=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling 2024 , eprint=

Reference 56

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source=arxiv_source observed=2026-08-12T14:10:45.074939Z digest=sha256:c8793bc15abd6ab3539e2c8bb5787d94f8df7489225a85585648d45f35c22f32

Observation 86e0bae6-dc9e-4731-9b73-a69dcac7565b · outbound

This paper cites Proceedings of the tenth workshop on statistical machine translation , pages=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Proceedings of the tenth workshop on statistical machine translation , pages=

Reference 57

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source=arxiv_source observed=2026-08-12T14:10:45.080101Z digest=sha256:1a105cf78fa19d8f4f7fe3ebee8e150b63daacb6dbd066fc562a5e5f515e10a0

Observation 7afa2029-6764-4005-8969-afb68651a06a · outbound

This paper cites Building Machine Translation Systems for the Next Thousand Languages.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Building Machine Translation Systems for the Next Thousand Languages

Reference 58

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source=arxiv_source observed=2026-08-12T14:10:45.086182Z digest=sha256:b395f700b55380faadad436a59cf32547bce38ef9a1c93dd08d481c787a832da

Observation 9f46c437-04f9-46ed-94fc-4e2bd7b0e5af · outbound

This paper cites 2023 , eprint=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling 2023 , eprint=

Reference 59

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source=arxiv_source observed=2026-08-12T14:10:45.091943Z digest=sha256:87185e8e217a9e7efc259fe4aed2906265535665b9cc2c39585f981afcbea907

Observation 71af5342-fdaf-4018-8fe9-b103bda41f6e · outbound

This paper cites 2022 , eprint=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling 2022 , eprint=

Reference 60

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source=arxiv_source observed=2026-08-12T14:10:45.097394Z digest=sha256:19a747dcf5c4b268903b2abe0b4a7ade6053ae001dcc2c3f31a2273ec44cf64c

Observation 55edf958-b6f5-4cf8-b92c-62b60ced835f · outbound

This paper cites 2018 , eprint=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling 2018 , eprint=

Reference 61

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source=arxiv_source observed=2026-08-12T14:10:45.103082Z digest=sha256:22f25de9c2a991102c8000a97ac26999bd84e391822414e52374be20aab50e6c

Observation 93864134-9f5c-4995-8a6a-c00725b9d062 · outbound

This paper cites Operations Research , volume=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Operations Research , volume=

Reference 62

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source=arxiv_source observed=2026-08-12T14:10:45.109569Z digest=sha256:2256a7d7fa174ed82af109f824b6d6502ffa19b1da745acda36016b10122014e

Observation 5ac60376-a701-4d68-8cce-bd1a51829d65 · outbound

This paper cites Foundations and Trends.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Foundations and Trends

Reference 63

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source=arxiv_source observed=2026-08-12T14:10:45.115794Z digest=sha256:01782d040dcea37e50b176976eb2af3c5a65a7df1e425e6d37665758ed95d9ed

Observation f9500f8d-b926-426e-90d0-4631b55b85c2 · outbound

This paper cites BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages

Reference 64

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source=arxiv_source observed=2026-08-12T14:10:45.121173Z digest=sha256:02b3aa4a5bfee101ca841d3a322426c5aa1ba916e4abe9264b6f37c1c4df381a

Observation 3bdae875-7aa3-4f2f-8d51-f76f01b66b09 · outbound

This paper cites Extrapolating Large Language Models to Non-English by Aligning Languages.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Extrapolating Large Language Models to Non-English by Aligning Languages

Reference 65

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source=arxiv_source observed=2026-08-12T14:10:45.127153Z digest=sha256:9eb133a53e64885797e605329f737a1d26e35e6e2ee208193b0037d8f57bc237

Observation 73c0463a-ff71-44f6-801d-650830e7f565 · outbound

This paper cites Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

Reference 66

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source=arxiv_source observed=2026-08-12T14:10:45.132855Z digest=sha256:3900b55d8637174541d47e6c5c562dea52d51271f68347a714e62888719fcf16

Observation ed3199a0-7489-411b-890e-0ddf1959e902 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling OLMo: Accelerating the Science of Language Models

Reference 67

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source=arxiv_source observed=2026-08-12T14:10:45.138620Z digest=sha256:f759e546a3f07d2d8af70b359cf47bb024c5e34eb30f527a8f5b2cc1aa80f395

Observation f1c35d00-2fc3-4bbd-b960-ee0ad81c66d2 · outbound

This paper cites Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Reference 68

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source=arxiv_source observed=2026-08-12T14:10:45.144663Z digest=sha256:cfda092a9ad99a715272de524fbd5d22f8f73d0de2e147235a8def3ab6f4fc3e

Observation c977fe36-ed1e-42ae-b12f-a136e548b52f · outbound

This paper cites Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment

Reference 69

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source=arxiv_source observed=2026-08-12T14:10:45.150445Z digest=sha256:a3baba57af591e42107d257a287d136e69c6d5832bea5c507208f393895a7212

Observation 13d28125-507a-4331-b782-ec0020e7dde9 · outbound

This paper cites LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback

Reference 70

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source=arxiv_source observed=2026-08-12T14:10:45.156102Z digest=sha256:48acb85b898182d9fb6abb83a918f91a844bbefea099abfe14d6312b090ce271

Observation fb52b242-37c6-42c9-8349-e24c482fe024 · outbound

This paper cites Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

Reference 71

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source=arxiv_source observed=2026-08-12T14:10:45.163317Z digest=sha256:86ab14ce2553ecbf0b1e1ab351834ef972b6d524164630effd1d593790830f2c

Observation dd2819d8-e033-49d2-89ed-05f15f72932d · outbound

This paper cites Language Models are Few-shot Multilingual Learners.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Language Models are Few-shot Multilingual Learners

Reference 72

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source=arxiv_source observed=2026-08-12T14:10:45.169476Z digest=sha256:9c2d4a1ca1fe3d047a1b0da4841282d575ec4b00e3bcc966b8adb007f71571ce

Observation 4a5b37f3-ded1-4323-a5eb-da8c0aa7df85 · outbound

This paper cites Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Reference 73

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source=arxiv_source observed=2026-08-12T14:10:45.174772Z digest=sha256:8de6315194b2e97d81c0b52512671180e8725b354889fb81fd00aeb233acace1

Observation dab48c56-aba4-4820-b87e-9d279aa6b8c7 · outbound

This paper cites Do Multilingual Language Models Think Better in English?.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Do Multilingual Language Models Think Better in English?

Reference 74

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source=arxiv_source observed=2026-08-12T14:10:45.181129Z digest=sha256:d3f63e6dc2fc81e911454aea8261539a3cc52d00cf94486174b33952a4a5b990

Observation 780ad13c-1bc7-4406-8073-925a4d01144e · outbound

This paper cites Emergent Abilities of Large Language Models.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Emergent Abilities of Large Language Models

Reference 75

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source=arxiv_source observed=2026-08-12T14:10:45.186703Z digest=sha256:da04179713c9ff94b9838e7c57561106da98f0e1ff9506f5b4c64afccdb21a7b

Observation 430e9ca6-ca2a-48b9-bd9f-929a37278b28 · outbound

This paper cites Language Models are Few-Shot Learners.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Language Models are Few-Shot Learners

Reference 76

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source=arxiv_source observed=2026-08-12T14:10:45.192335Z digest=sha256:65296ec59f5b428a6f72c8acac9b4fef428e92711d8ac7332a0622c3e9980a04

Observation 5c4eda50-0b28-4008-ab52-862a26b89b90 · outbound

This paper cites Towards a Human-like Open-Domain Chatbot.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Towards a Human-like Open-Domain Chatbot

Reference 77

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source=arxiv_source observed=2026-08-12T14:10:45.198154Z digest=sha256:e130d9295d246854798a5851e81174b7be7fd9a56b6b491539f97ec05e8642e0

Observation ad44dce5-83c8-4471-a8d3-8614b5fa69d3 · outbound

This paper cites Advances in neural information processing systems , volume=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Advances in neural information processing systems , volume=

Reference 78

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source=arxiv_source observed=2026-08-12T14:10:45.203521Z digest=sha256:62c6ddee5f2c100f09f755852021c0222b2fb622d9d0c2968b7e118f80f8b25e

Observation 3e6245be-6414-43cc-a0fc-42cd296c06b6 · outbound

This paper cites A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks

Reference 79

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source=arxiv_source observed=2026-08-12T14:10:45.209066Z digest=sha256:903b08b5e9ec5e84008f14696220dcd80523a4a79524cf22c430f9cca362a18d

Observation 7fc5cf1d-4da3-4fc3-84f1-05573fd7e190 · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 80

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source=arxiv_source observed=2026-08-12T14:10:45.214989Z digest=sha256:1c22d429f3c77411db9df8bc63d1ff997f79c9aec3633cec9d7fde32affdc7d6

Observation 2a749479-07e1-4eec-a3bc-d0a238d9623f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Advances in Neural Information Processing Systems , volume=

Reference 81

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source=arxiv_source observed=2026-08-12T14:10:45.221307Z digest=sha256:2f64928867929d8076cfa0240443e636f70c6a75c549c51e959de383c9c02d0f

Observation 59f92b42-4ecf-4150-8cc1-ade5455fae8d · outbound

This paper cites Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning

Reference 82

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source=arxiv_source observed=2026-08-12T14:10:45.227028Z digest=sha256:b4d888917ec80173119d7e07166bac7479045522c7a47d518467eae822ce28cc

Observation f39803a9-1115-439d-8c6c-cae4337f603c · outbound

This paper cites Improving In-Context Few-Shot Learning via Self-Supervised Training.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Improving In-Context Few-Shot Learning via Self-Supervised Training

Reference 83

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source=arxiv_source observed=2026-08-12T14:10:45.232805Z digest=sha256:88d4f1297e07a5753f23ff4a162de58bea2cb2b23f547d13ce11978ff0bb01f7

Observation 226aa54e-cdd5-4138-9507-13e4e33e8881 · outbound

This paper cites MetaICL: Learning to Learn In Context.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling MetaICL: Learning to Learn In Context

Reference 84

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source=arxiv_source observed=2026-08-12T14:10:45.239716Z digest=sha256:5c1646b58a0acee07fcc5c8c3c7e2cb14c38e6eb46a934885a9df8ea439d8ad0

Observation 4e43b4c2-c356-4be5-8fdf-56073370dc04 · outbound

This paper cites Symbol tuning improves in-context learning in language models.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Symbol tuning improves in-context learning in language models

Reference 85

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source=arxiv_source observed=2026-08-12T14:10:45.245589Z digest=sha256:57f46ae4065bb954ca4cd2875bcafb84d087a281f1b16616a7b8929fc6d768a5

Observation 5b7d0564-989a-4f84-9935-7c6aae665ad6 · outbound

This paper cites International conference on machine learning , pages=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling International conference on machine learning , pages=

Reference 86

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source=arxiv_source observed=2026-08-12T14:10:45.251049Z digest=sha256:ef8f77fc607657f0f2733d46581db46f85e91f9d5fabbef355dd42ccc85727bd

Observation 1c5ffce6-fce0-45d9-bcb3-4210c2075ece · outbound

This paper cites On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model

Reference 87

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source=arxiv_source observed=2026-08-12T14:10:45.256410Z digest=sha256:1261437397ff6791ceb93821b3cd781bfd74d9758dc1830ca7ed0566f8c33ec2

Observation 43366ecb-e7b7-4bd7-b7d9-ed2325890b48 · outbound

This paper cites Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Reference 88

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source=arxiv_source observed=2026-08-12T14:10:45.262747Z digest=sha256:600fdd35ac101d63ca8f1ed1b01dea5ae202c419a5dc3fc65b8b427215ec70f1

Observation 0275973a-d44e-4f1d-a9cd-ca94e0a4c497 · outbound

This paper cites Larger language models do in-context learning differently.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Larger language models do in-context learning differently

Reference 89

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source=arxiv_source observed=2026-08-12T14:10:45.268357Z digest=sha256:4630dbee3f07e76037aca7b43d9c585b73886c7bb51db47fc9b91fb009900536

Observation 5b98da8c-09ca-4279-a341-781540137f5d · outbound

This paper cites In-context Learning and Induction Heads.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling In-context Learning and Induction Heads

Reference 90

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source=arxiv_source observed=2026-08-12T14:10:45.273802Z digest=sha256:2a3d7f2d8f46563a398027acf2e7b70dd570538ab6f91a914078230278aaf81f

Observation cf15e515-eba8-4189-a868-740ea006d1f8 · outbound

This paper cites International Conference on Machine Learning , pages=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling International Conference on Machine Learning , pages=

Reference 91

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source=arxiv_source observed=2026-08-12T14:10:45.279285Z digest=sha256:53be9da5526d6cd8f9b37adbcf82a027dd77d46bb28b63e320f9a7378137199b

Observation 5496ec41-39f0-4b18-b988-9c73b992742d · outbound

This paper cites 2023 , school=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling 2023 , school=

Reference 92

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source=arxiv_source observed=2026-08-12T14:10:45.285233Z digest=sha256:8a432b160ec3a1cec64b96111d91a6803ad97a98ef46f12a21b7e528b504d259

Observation 81d0ca48-4423-4063-9338-db39dbc3e5a3 · outbound

This paper cites Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Reference 93

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source=arxiv_source observed=2026-08-12T14:10:45.290195Z digest=sha256:37bfbe8fd7ad2e1bf136466e11d16f5718de743be0b5176707c635f411613ad0

Observation ecb6741b-a826-440f-a3fd-6cb82f1d4d62 · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 94

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source=arxiv_source observed=2026-08-12T14:10:45.296239Z digest=sha256:b87d5c8d5d132050be349122f74f5469bfcdd645b0a3c2c392f6b071fdeb08fc

Observation 9aca7da0-c146-4748-83cd-274702c61616 · outbound

This paper cites Advances in neural information processing systems , volume=.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Advances in neural information processing systems , volume=

Reference 95

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source=arxiv_source observed=2026-08-12T14:10:45.301901Z digest=sha256:c659bd123257b86137a69c2b546210cc8d84099fd0f90a2fbfc7e91ab7e00e8f

Observation cb16ed0c-ff20-43f5-8fed-4316f95653a3 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 96

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source=arxiv_source observed=2026-08-12T14:10:45.308234Z digest=sha256:f7fe4213de87424439ff0f9256c480b1f02f480e3a2ed2ec9802c08c11ccf76f

Observation f3a50f96-0d51-4425-b862-89bb32632667 · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Large Language Models Are Human-Level Prompt Engineers

Reference 97

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source=arxiv_source observed=2026-08-12T14:10:45.313832Z digest=sha256:21d42beb0d752bf3aab8cd604db87bf6b4ef907da7c85853db37548eba73a929

Observation e4b3b2da-a8f5-4bdf-9398-a887e316e272 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Automatic Chain of Thought Prompting in Large Language Models

Reference 98

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source=arxiv_source observed=2026-08-12T14:10:45.320151Z digest=sha256:8d4081c4a7f269f00f6c74f5dfa2092d7844c7bdb388ad82304adb34a9448a84

Observation 44c1ac1f-9d9f-411a-b91d-812cf007a13c · outbound

This paper cites Diverse Demonstrations Improve In-context Compositional Generalization.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Diverse Demonstrations Improve In-context Compositional Generalization

Reference 99

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source=arxiv_source observed=2026-08-12T14:10:45.325231Z digest=sha256:86cf8a34064e9bbcc25108b586dfbf0c49999995c8fdadd7d7658fa5dddbd153

Observation e13caf4b-617d-4dcd-ada7-e67daa1b0d74 · outbound

This paper cites In-context Example Selection with Influences.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling In-context Example Selection with Influences

Reference 100

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source=arxiv_source observed=2026-08-12T14:10:45.330594Z digest=sha256:1781acdef957a46b8a984c3de356af616fd1220c27e167d84b6fe494380fb2a8

Pith citing papers

No inbound Pith citation observations are available.