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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 2026-08-13T06:32:02.005865+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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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=sha256:4338a9462a5518e8763e2c47c25fcc64f41bdc988b6e6a6de7d865dc0cf78acf

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:d74e54bcea97deb8ab61c02cbd9979329b668ec689219f42f8e7d076a62adea6

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=sha256:548f88080fdea329d7cf58d757815ef40245a9c98473ef9d85633f1f38c130fe

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=sha256:743f9ed11e74942ad95b708762c4cbf07a241d0ecb0a316e316e7b0fa392bbb7

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:e4384dad7d07543cf62b2c3496c7cc5a7b44d4eade8894a3eabd61aee0f92ec7

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=sha256:878ab6f9d175c12ccad6b1fbafb874ce5676c3cde5c0c4b445cb9493ca8c276f

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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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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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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source=arxiv_source observed=2026-08-12T14:10:44.814966Z digest=sha256:271958428634475d48637871cef7508150cc51e64f6ebd65966f8ce1583efd31

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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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=sha256:4be839b69c268f0519f825ec5b63ac49ad1892289884d3a016316dc45b5b1226

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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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:c923f5234a19d3757f2cc43b00078cb8f3e77dd8a905e40682a03b79b642ed7c

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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source=arxiv_source observed=2026-08-12T14:10:44.880686Z digest=sha256:30f465343e9d282820edf4226b2a7354d7a250e4167e4d892381e9c39cf528f6

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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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:ac40fe5056b960cb2c47e7bc9c828e547953b8c0a8be18a4990b5d6184214aa6

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:b3ae47b8570c24ef3c889d23132703f96f6bcc87c88a1feb358dd799770895f9

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=sha256:8d964a152dcfd97cb5e005423944ec2b09bd0d65c42796caae0f2c51c1e12765

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:c139956bf5fdaf063dc10f393620bc12579afa49376373594e4505f65583c747

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=sha256:0ae4aa0a3fa82a9e2dd5bc3fae0dacea0bf14b8501854fbee1f69608246dedf6

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=sha256:745ae6a4a0264a974fb14fc7fbc172ae96cee60bcfeea36a9a34c5eb68af085a

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:fe852ec5988a4bc77d40e52e3c66020f4948ed455a989e703e8eb4e75b0578bb

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=sha256:343af53e8a53c5db911399de4022b4576b0eefd60839e88e88e8438dd63d0534

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=sha256:6971073872fffe254f1a4207d54a0627d705909695d4a8c07d325e20ccb6723f

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:b34318e8ccf77fae94d698718e5c4dd101bdfb0ae99f9eae709b2bdc3e3f0e36

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=sha256:03abb8edaa3934da371bc8736226c4bad75c1bc238e876af381bfb59c2c987a9

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=sha256:7ca51ea76b1110662f22fbdb266509807d505a8cb9046035bcc55ff7fa9751b0

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=sha256:62bd19833be8732712d943ae31d3f51c6050fd953c1a12890d04b68df9a4762c

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=sha256:70332b5480c54e83b0994e7ce09457456a3e48773f1e1ed56355a83c7ca6dbc5

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=sha256:5ed657d78a9fb0a2f36ef4de9ac98f59cfbb50a81330cf954e6fb7a6532106e8

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=sha256:1d8205b8a882552beb28f3f59d623bb9b453ae4efe5fb2a309600d11a11d97ff

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=sha256:1c067d256373421b1d2ac5bc2152deabcdd892e201ddf2fd716b57d6f96a9cb1

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:f10537bef39f996df47fea0c123704ae9b53b03b5c0936dafcb5d64a22adc7f3

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=sha256:50f5a6752a9f890af95ff20db313715ca46c7cdd03cb40920a8f45870aeac954

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:fa07f2d8db763c9ba4955313ba79abbc17497550cabfe2a65c82985c0d12d9d7

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:c34a951d65971eeae89ecaceb6c720155eabc4fa76db0ed79cd15908c2ee20bc

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=sha256:77fcbf62d63cbce1a51f4e9fafb70273aff26b77a459e62658ae8d6759257978

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=sha256:37cbf016eb76a7d4d8e6583d095f28385405714dd8c15b3ecaec85b69f57d979

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=sha256:4db47032a7b16b458f1480ee6a096e9945d0aca7ede2f4b0df0e4260fc3bbf02

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=sha256:848e9b3beaf1dce7e843e64b460c10fa534ab5032e1d7c264282b55b98d21a19

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:f18f5d2213194f9cd645eee3fef3e3e14620bb7a93072b57c2a746544283c164

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=sha256:63fa2cbd1eb30eb7638d6915e581c0e09b793d518c48ed7ba8e524713f1e5e00

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=sha256:8f66b5aadfedc8c5429485576774471a80229a52ccc7b5bdbce08badeaecb287

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:fe4e66ef033a4c27dc43b98590f8c8425c0b6b04bfc9cac371df58eb898732d1

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:d8a7c660803dd9b7a27cdbb1930cde4b793f02618d37a1515fe1000e3762ae8a

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=sha256:4e5b88f533fb15a813532a3e0adf6a9c1e53f8e649e203ceb9ae0aaf9191e419

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=sha256:5dedb6466f5a239ef48298ff56eda4870daf6297a1f0672385e3f432657355c5

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=sha256:552e7a4fcc4a540c55bfe86e9aad724670cc8f0c5c9eb24fe596424ff4cd5100

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=sha256:9c3c5b330a5de7317f3df596d43c325366fedf714208c7a5b58b64e4b12cd644

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=sha256:2d4119941c3c6507abf4dfe9fb3971a0ba92a05be77685034e9cf9161ec92364

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=sha256:6094fcb1b332cdcca34b095055e59d52140cf27ba4e48acf970b30da8fa59197

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=sha256:713f57b605fc23f8124948b3d604501dc589e36fa4bfdc1030fdfb1d8ee8624d

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=sha256:072404cca9f8ecb0e7222f903928528f4f09d6a40f6bd06ea0ddeaed3e37b637

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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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:aec92ea45d3e2ba6e26edac5f4ac1d1eee68e6bde4b6be1da34111b6310f11fb

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:cb1c7bc21171fd730c94136003b0696870b2f7d9ee06e6bbb7c3c0fa2da1a5ad

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=sha256:0ad6d00a10e7c67f3a04c34883d1eb5555e444773beaa214e88b69c91ba87de9

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=sha256:6b5405dbe0b44a0799a036cf4bac53938aea55b17d9138fc96da1576babb6239

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:ee06cff5623270f31b6d8302fbcd43ea0de22ea0d6cbb3d7e30edfac00534192

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:e467100ff982403913fd0e4948bab5457aff30d500cf715085704e970c958dec

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:ad8164f28d18911bb7bc7d342b857cfc11bc56a6db1cd8961d1e654193de54ca

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:d288dcde689ce3f583f2e25e7a48650e544ff66b5809129833c56db9a251da69

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=sha256:252a31b5862e934c9ca9537fd872553b773bad7d953361229171c1bde79fc2a7

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=sha256:0e1a42e22bc793a0c0c121318de7debfc71f06dc323b2698dff60a572538633c

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=sha256:7e4cf84a3434016af2d7909779c6a24aa7ffd29b19acdb133f571abe0b32de24

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=sha256:360e220459e12ba3f93f8590297333354ff22a8a37248cbaa061a2ad85967135

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:c9dd0d6f96fbf74134eb1cd09ce97d70a4a497de39d9ce5a820fceb457fb0278

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:d9eb5951202a2a6f7551a5e0b118fb7153c1807972382ee069f2804c4d65ee29

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=sha256:7d1cba7a900814b7413e39d60a2953ef28ca6b26153dbaaa775fbb4c278aa8d9

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:ff81224c750f4d0edead06a6be997f4d40f99735694bd6b8505a6892c6d3bd90

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=sha256:8aa7508230a09b7e206a09f1b52d5227a18833a363a0229a3eebe840233c48a9

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=sha256:29c335975f90a1c212a654262aace5cfe07a47bf8e3d80a4ccaa85d526e934bf

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=sha256:9ff5534db7972fd0a05a8bf7fe8f1f55e0b67d4541f2db24e51ec36259746ddf

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=sha256:8c072145ad8d043e4091bc4cf928764337568a4067acb5c5e19c3cfb0b732710

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=sha256:3bc3008d8000bb0d8ae46e9703c09c1aa3492b7e089eed03f699977644542ec5

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=sha256:7e7476565883172d3219199438bd1ca5e1c57d7a2c4108044c74d6f63417b1a5

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:d3b8790daaa6e893280ec5f45c11e4c13438b917ac70f8d6f80a07788a2bbdfd

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:cece7b9c35fd8be9a46b85bf2fc3827a0867b7371f8c00e964a6f7fdea9629a0

Pith citing papers

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