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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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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=sha256:0486992f90e4d75cc29f0e8c5c934b5cbb5cfc5d99f2f02a886a3550404cce70

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=sha256:0bb32b199b3f0ead1f7ce6491175065a9c45b62a256684419b9ca7b0c3ff1f81

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=sha256:19aaefc9879a8ec96152fbb218ae34fd7c2e1fefa95c11c0059f237fb5ccb5e9

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=sha256:62b9aad9dd321307e20d65746026e4207913501571aa02d27b2e38555245dc91

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=sha256:8f1cd2a500e02231a080b5f6c33d0ddacbbe7c654d19a51d35301e8b564bd51e

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:cc935aae8e16ce29999b2ef5f225d0c153e19fa6c41e4d6580899330bcbaa19e

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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source=arxiv_source observed=2026-08-12T14:10:44.804110Z digest=sha256:ed083b8c325a7eb918cf6750ba17fa28c5b32f3a0a31ea562d5153dd26a37bb3

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=sha256:746b50f18ce03321950443e9d9bcd339b23907e8f8cb8239f0bcdd880a6a29ce

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=sha256:7be546322ef303318e566e03a47fbadcfacfa734fe5b60f0bcca0d18861a7d90

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:b1e1df53fe1ce1f80ccc8c2e40ce6f84c15498a9cdc1990d12795365bcc9ffbd

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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source=arxiv_source observed=2026-08-12T14:10:44.838327Z digest=sha256:28d65925e9357a69d84bbdd641007c114153baddc5f7252e1a15255104ec9da4

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:c391975239724cdc5e19203dd2812371adcee121e2ff74c933439e873240defe

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=sha256:17519e0c76ad2a685815d1e4466f00bf662fe638c339318e1c3d732f2a0d5fe4

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:a08fe507078ff6befff9cb80fdbb4eed1f4e465ea9c669017f6bf731bf9736ff

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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source=arxiv_source observed=2026-08-12T14:10:44.909893Z digest=sha256:cdd9cc290a770c863432ac5628af940775536bc4422fc089773662f39ca8501c

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=sha256:34b69506c5d2ac31e3efa53bf8d5f8771ff02ee8338319225b3c3bfacb329eee

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=sha256:04e95b7ae10ec3dd555b1e8a7b78af9cf79feacfb8da0f7341eb28814a4f655e

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=sha256:448856163c2cd70ca8074fc0a5cbf2ebb78229944eb61e01fb86229dcd934993

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=sha256:1b0f81de170579b813b7726f7b310172e0fb6030b76c3ea64daa2fc75911115e

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:d5092d2262f06b170516eb10c5f05e42e660aa8cb74edfb7f49d5a3fde9a7787

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:fe6471a7fc60cb0044cece965ada53fe2f9f806529e20e0bc2753056188cb458

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:bc341e1f99a2a7eb64d60a1a958ea39b5cef2365de4d70057561b1906fb54ba4

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:b1235c8f5a05af3c86d6cb0f70c176b2e126526ae90fd9b3678a443ee571b9db

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:a8d6aab99db3d15c3042ce8f297016f01adf116e315efae3658d1100ed1bbad7

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:c7406e9a3502e303b46d610e4323dbe6a48d98e0bd0478db0615d7eadc072f19

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=sha256:5651173acdc26cbb372a3167f5fe6ea9a9bc08e9808748af88125b2ac8c0ff2f

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=sha256:5929ada2a7c4a951eaa42af6395e09e2ebfda2484aa8f64f65bd1c72d7190795

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=sha256:4b01937fadad71bd6b9a9c7182119dbd6174a9af2cc69837f7096772e0497060

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=sha256:65d46ce465db221ede10d0df6f0866fef9142aaf58b3c4c8883ee31254106bf7

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:c186a4d351c48c8d9bd53f0bbf9db44ac9bcb8ad17f867e0c38df37f3cd37309

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=sha256:81850bd1b77eae857dcbe7ef90308fd88ce111c02e5fced1be46adcd50a74091

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=sha256:5de77a804d9071b592f73596b23f6959477e0a4621f0eaf4cb19a462ffe53b5d

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:ca1c2e419d325c18a7a2c5a91a148139ea08011ee17b9aea930538ee515ea490

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=sha256:1c347ad3ecbabd4497261d69298852f02196761aea385be2901af97d9c4c2e8c

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:f885a968f6b84f7f32eaebb792db5a12f55c2e1835e21925b480d8145d0aec75

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=sha256:240f36c3b184b19e1a393f417a3dbcbfb992d2430ffb71ecf531706218c5b30c

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:f305c098bb9ed8a2aee8ddf0405e9ba9630b9a6af7bc8e5374d624c430a04400

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=sha256:64d0ad595acb9f0b93c999a393665f26b72eb0df54a86c85a15cf039a5da15eb

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=sha256:9f02f33cf37b04737a6d93b1218e238d9a02f294daad0eb3174900f18d7331a2

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:b75898435dcd066bbb20a2e75b6a0e11d974763402229cd2f2076985e52b6d25

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=sha256:207ba1c42a37800221222f0c6770f907636b30d48ebb1c757212ae61437db891

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:b785342d88017dcf60ddbd6862b503fc5736723d78774114628078791330c679

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=sha256:004563276448bb9ab61c53364478b726d0b39f9c5a4e44a863384dc7e364144d

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=sha256:1902ec7222eb32809c5f725329021ea33fabeacd3bd71ec18605653d35562b66

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:e4402b6caccfcf824247104b5be90554e9801ebf6c7e999bab1f981ceab51a71

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:b940efc9a830cfc6ba134da4faae3797a6cc3218893ac90551682b8202a03fde

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:ea6a026d5d504441ebe2992f3e8e2eb49a0359c19280350cfc167ac9978fda9a

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:efbe92538c3839eb1866ce29ef358df31b6947fcce974d669f3ce4c3eed50f14

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:b00a1b362394f86e79e7895803ef8c3c2ec19eed524bbf60e765657d7ed4887b

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=sha256:897737bb25f40210e3c39f219d806f0ffc354b09367e5731b60a68d6602759b1

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:b3e91cfc47abddcf1d4ea88aeb310571d0f98b84a7c7b95a6aee93c1466ca236

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:b6ca2c64c2025d5bd60290f13a87828b75f285ddcbfe6939720cb9d5b5becd2b

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:e60f0c66efc4e7888c28a14f8107bc90357b6fdf27980b0da9f169e5e143b984

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=sha256:3db885060c2f324d25b44e9133933361a0c63bce428b9a8a337aca299e4c7651

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=sha256:2ad5f95a8897e6af36c6ff78920b6758459fc43a38bfa2c123d7bd17d1cfbf6b

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=sha256:7ce5ec405eadad571a1fc38630ddce8464fd9480201a4c8ead8a511a1e639b58

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:a7a35d86a2a84d62de88c295c2cfeaa232aae53f6690b5224764f220329e57d0

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=sha256:103e30396b6895469ae80ffdef859b9ba3a18d3050ac5c34325eb5c1e59bec8e

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=sha256:1a89a1b7d65be338326b77f50bd70ea5dd80f09257b3d82d5b3517e26842cbc9

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:f5493e49c8e865d511836ae190126bc889929bd92ff405d8b73c140bd86c8f9b

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=sha256:478cef81f9d78611adb00a2911e86fd243e6a965871431b1a0e46de818b15108

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:f99f09bde98dbcb2cb169c846771b46b0bba4d28be85d0e2de35324631a00673

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=sha256:4921f09d50e013b1978f0045d179e9636d4fcf40e09ed3b17cdf82c647377005

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=sha256:8b46fa73f3219ed93e7295e0ba8a8041c0f661a3191414bee2ee4ddfa5f3f1cb

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=sha256:72dc5524a3dd529b8bc5c0226eeae952f34d4e09b167b6a014aa9ccd3e9ec25c

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=sha256:9cc24f4e5d4e09e9148a8d77f5cb52a225ea798d2d718d2278843a6d1fb359d5

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:ec28bfb8ffdf409ff78a1c01ecc665f4c47d4be2702bc0472af4303dea92543d

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=sha256:7d5c9e9815013c312fdc65fc31515420c3f2385abeffc68b7462288a855a7560

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=sha256:3a6e9bb4d1f3abf12549cc08b99c8fe0786a5ac1a21fb612d8b1f51915f42321

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:e2f133070b25f5f6b725482adfe9d5bfdf22d2cd97a63bb00baba765844dd6ba

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:bca8ae334621c08ad088d76cf3d7a31e93bb9e0fa9a6642fc32a4859dd86811f

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:c643bfec98a691b36ded850e7ec4bfcbca159497f2fe57dc2cbd6af78385c2ea

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=sha256:66f8e4792ab563feee73f8e181a5792ac24b80782bfa1a07ddf5f7595634dd5e

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=sha256:90821a8edac9a5b4a08c031f2d622ad0bf4b77f396b6e14b22571e6abb96fb4e

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=sha256:6f7bb5dde20be04e68685c852894118a5b354c2cb0e6151bf67b48d6dea85301

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=sha256:4ffc4e4498054d6545f7bb3d1c16e12b1de71b17987c07ac5c58137fb2d42de6

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=sha256:57ed0e7722f8bc88698b450f10fe2c44ec18a3b83a0d435080fa280b1c92c776

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:cdde9fac33e7dcaa16fa36e732e942a8b02bd2fb630a15733748abf081a606c3

Pith citing papers

No inbound Pith citation observations are available.