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Paper Citation Record · LEDGER

RAST: Reasoning Activation in LLMs via Small-model Transfer

As of 8 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 5 inbound Pith citation observations for arXiv:2506.15710.

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

pith.paper-citation-record.v1
2506.15710 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:19:59.838557Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:00:34.918164Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved57
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 811d13af-6edb-401f-be35-b69c2a2bf9c7 · outbound

This paper cites Program Synthesis with Large Language Models.

RAST: Reasoning Activation in LLMs via Small-model Transfer Program Synthesis with Large Language Models

Reference 1

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source=pdf_text observed=2026-08-07T12:19:52.672390Z digest=sha256:5a74f8544d9418c614d059e50ff4e6c663e2a0bb5366acb7a5493e96fb2023ef

Observation 06500c15-2a83-42a0-9589-9f42c56dd858 · outbound

This paper cites an unresolved cited work.

RAST: Reasoning Activation in LLMs via Small-model Transfer Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-07T12:19:52.735213Z digest=sha256:e64ba4b74f38e803538ac5f21fba3be00913b1054de411c4ba9dce6dfc9b0edd

Observation 9abcddb3-7159-4894-a7af-25b8c2ad8a5f · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

RAST: Reasoning Activation in LLMs via Small-model Transfer Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 3

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source=pdf_text observed=2026-08-07T12:19:52.815389Z digest=sha256:374d7b3568961291a3a28bca3de7738e9082da53c303947aec5ccb06f32d9211

Observation b25bb4ec-dcc5-43f5-bf9b-d12f9098ed50 · outbound

This paper cites SFT memorizes, RL generalizes: A comparative study of foundation model post-training.

RAST: Reasoning Activation in LLMs via Small-model Transfer SFT memorizes, RL generalizes: A comparative study of foundation model post-training

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:52.907972Z digest=sha256:b979ff3cd160c94674c046f10a63cec7c71daa406b38e4b0771047161bbc809b

Observation 3b959d38-10cd-405b-8eb9-4673766d7d38 · outbound

This paper cites Glass, and Pengcheng He.

RAST: Reasoning Activation in LLMs via Small-model Transfer Glass, and Pengcheng He

Reference 5

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source=pdf_text observed=2026-08-07T12:19:52.980036Z digest=sha256:1758628ed1a2475bfc75b0354f420670e5876142989a1e25bfb5f39b0d6c9f24

Observation 033d18c9-b61e-454e-9fa1-8ce7002dedca · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

RAST: Reasoning Activation in LLMs via Small-model Transfer Training Verifiers to Solve Math Word Problems

Reference 6

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source=pdf_text observed=2026-08-07T12:19:53.048928Z digest=sha256:f4ab39c8df2370b316c82d7fdb5a4aee4dbcad6394022697a9975a1bc7d6437f

Observation db62e3bc-0e29-4098-af22-3ffd34a06208 · outbound

This paper cites Ultrafeedback: Boosting language models with high-quality feedback, 2024.

RAST: Reasoning Activation in LLMs via Small-model Transfer Ultrafeedback: Boosting language models with high-quality feedback, 2024

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:19:53.118568Z digest=sha256:897ffbd0fa5c2132cab930d8631990e37435637f632a7f2567d2406348d144f1

Observation df139786-2298-4da7-8619-316fb7f62874 · outbound

This paper cites Assessing diversity collapse in reasoning.

RAST: Reasoning Activation in LLMs via Small-model Transfer Assessing diversity collapse in reasoning

Reference 8

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source=pdf_text observed=2026-08-07T12:19:53.222475Z digest=sha256:35fdc44a8734b510c33992b1a3beeefbdab18b0169524ec2d496435d3e37e144

Observation 9597ca22-5a37-4de9-a62e-3c6e7825a9a2 · outbound

This paper cites Dietterich.

RAST: Reasoning Activation in LLMs via Small-model Transfer Dietterich

Reference 9

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source=pdf_text observed=2026-08-07T12:19:53.305318Z digest=sha256:6a284d3de3e2378205567abf05b58329cf48387df2f00296e587a27384c44fbf

Observation 102e0447-7448-4d72-aaf9-96cf0b5537e7 · outbound

This paper cites Hierarchical neural story generation.

RAST: Reasoning Activation in LLMs via Small-model Transfer Hierarchical neural story generation

Reference 10

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source=pdf_text observed=2026-08-07T12:19:53.393737Z digest=sha256:1aae5c75c71eb89bc111436917a82f5c1f5e24f4a04c918c3231d150763140cb

Observation e412b539-0ea7-40f3-99a8-890facb9b47d · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

RAST: Reasoning Activation in LLMs via Small-model Transfer Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 11

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source=pdf_text observed=2026-08-07T12:19:53.513189Z digest=sha256:da6711fa245a2dea516d96238f8931412cdd04628082fd2f44a5e35eadd5b1a1

Observation 8026b26d-bcd8-4bf4-8c98-bda723b03c16 · outbound

This paper cites Deepseek-r1t-chimera, April 2025.

RAST: Reasoning Activation in LLMs via Small-model Transfer Deepseek-r1t-chimera, April 2025

Reference 12

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source=pdf_text observed=2026-08-07T12:19:53.578374Z digest=sha256:9d67402dbab086a88b2ffc288e0a99e21eb51e620b75b78f51746feed6683bd0

Observation a8a16a65-0c58-4298-b6d1-ec999e061fc2 · outbound

This paper cites The Llama 3 Herd of Models.

RAST: Reasoning Activation in LLMs via Small-model Transfer The Llama 3 Herd of Models

Reference 13

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source=pdf_text observed=2026-08-07T12:19:53.683212Z digest=sha256:79f50164e3f5a226fb1ccf170313b6a1cffc1afcbe78d83010486170bf495baa

Observation dca8ed00-d66c-4830-b0eb-768620c4b40d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RAST: Reasoning Activation in LLMs via Small-model Transfer DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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source=pdf_text observed=2026-08-07T12:19:53.750382Z digest=sha256:50a5263a671c3c236eb3e82440c41632c7307a957f8ff91150255ff0accd9ff7

Observation 09fe63d2-3ad7-4d07-b3d7-06bc4268d24a · outbound

This paper cites Cosine Similarity Knowledge Distillation for Individual Class Information Transfer.

RAST: Reasoning Activation in LLMs via Small-model Transfer Cosine Similarity Knowledge Distillation for Individual Class Information Transfer

Reference 15

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source=pdf_text observed=2026-08-07T12:19:53.834933Z digest=sha256:b7deac54afca8c6d4af2bf5fa12463b6e37c52ac606f156ab5a9bedeec26787f

Observation 31b4fc56-00b6-434c-9a07-5a53afa3bab2 · outbound

This paper cites Teaching Large Language Models to Reason with Reinforcement Learning.

RAST: Reasoning Activation in LLMs via Small-model Transfer Teaching Large Language Models to Reason with Reinforcement Learning

Reference 16

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source=pdf_text observed=2026-08-07T12:19:53.893423Z digest=sha256:f36f690f643ba675c9c7bade686c3f3b74a93769e53872784bc100e25ae3a5a8

Observation 4c2735b1-9ce9-433a-bf43-06133547a9e8 · outbound

This paper cites OlympiadBench: A challenging benchmark for promoting AGI with olympiad-level bilingual multimodal scientific problems.

RAST: Reasoning Activation in LLMs via Small-model Transfer OlympiadBench: A challenging benchmark for promoting AGI with olympiad-level bilingual multimodal scientific problems

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:54.013444Z digest=sha256:9fe912eb410251a3428f059101857280497277ae735fa0ca50714d7d9e6b6f6c

Observation 26c81d52-ebe3-4764-80d8-9dd2dd2ca07d · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

RAST: Reasoning Activation in LLMs via Small-model Transfer Measuring mathematical problem solving with the MATH dataset

Reference 18

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source=pdf_text observed=2026-08-07T12:19:54.112399Z digest=sha256:8820bbe060cd64dc083cd2b6eae7385a463985c40c79b4adcd7d37812e5afcd4

Observation d68b8436-54d4-4fdf-ba11-0fce13bfe2aa · outbound

This paper cites A sober look at progress in language model reasoning: Pitfalls and paths to reproducibility.arXiv preprint arXiv:2504.07086, 2025.

RAST: Reasoning Activation in LLMs via Small-model Transfer A sober look at progress in language model reasoning: Pitfalls and paths to reproducibility.arXiv preprint arXiv:2504.07086, 2025

Reference 19

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source=pdf_text observed=2026-08-07T12:19:54.186683Z digest=sha256:1f09edd61f295dca71bffb3b5c06520f92781226a2a7430c660756f96549edbd

Observation 75d14b5a-5adf-4a07-af70-c59d6aba9bf2 · outbound

This paper cites The curious case of neural text degeneration.

RAST: Reasoning Activation in LLMs via Small-model Transfer The curious case of neural text degeneration

Reference 20

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source=pdf_text observed=2026-08-07T12:19:54.277446Z digest=sha256:b659a060ce995e71a8aaaeb741163d4b75268912a21cf906e7fb90ae88c9efdc

Observation bb534948-e00c-4d87-b800-7b49ab1d1be8 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

RAST: Reasoning Activation in LLMs via Small-model Transfer LoRA: Low-rank adaptation of large language models

Reference 21

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source=pdf_text observed=2026-08-07T12:19:54.363701Z digest=sha256:0ff2125ab93199945d2e127a3910937ac76c8799e4686e26e4d963b5ea56e9d1

Observation 79a752ad-13a4-4f03-899e-6c3de8262298 · outbound

This paper cites Lorahub: Efficient cross-task generalization via dynamic loRA composition.

RAST: Reasoning Activation in LLMs via Small-model Transfer Lorahub: Efficient cross-task generalization via dynamic loRA composition

Reference 22

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source=pdf_text observed=2026-08-07T12:19:54.444286Z digest=sha256:5d1718d5edffef8b2d28778b04743cdf2a0f928a2982393a10537b49ade1fa79

Observation a83334f5-931d-4e47-a739-a6f19562aeae · outbound

This paper cites OpenAI o1 System Card.

RAST: Reasoning Activation in LLMs via Small-model Transfer OpenAI o1 System Card

Reference 23

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source=pdf_text observed=2026-08-07T12:19:54.593271Z digest=sha256:c79faf45efda535bf9fd60ba8546e6448d37dd8f4bc4911cd89d16de7c3faacf

Observation cb270afe-96ff-401f-b454-928ff67dd1b5 · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

RAST: Reasoning Activation in LLMs via Small-model Transfer Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 24

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source=pdf_text observed=2026-08-07T12:19:54.679139Z digest=sha256:a358679f6fa798ce8362b2469b424d82efbc51dd2c41eb90b171e6c44e5394fb

Observation bdb26cdd-97fb-4c09-85f9-2d81dc4122db · outbound

This paper cites Reinforcement learning: A survey.Journal of artificial intelligence research, 4:237–285, 1996.

RAST: Reasoning Activation in LLMs via Small-model Transfer Reinforcement learning: A survey.Journal of artificial intelligence research, 4:237–285, 1996

Reference 25

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source=pdf_text observed=2026-08-07T12:19:54.766718Z digest=sha256:385d4771f9d5c07d59bd3134887f13f907e02291f45279fa7cf5b3a8392020b9

Observation 34f111f9-5c39-4d7f-866d-0264efbfa400 · outbound

This paper cites On information and sufficiency.The annals of mathematical statistics, 22(1):79–86, 1951.

RAST: Reasoning Activation in LLMs via Small-model Transfer On information and sufficiency.The annals of mathematical statistics, 22(1):79–86, 1951

Reference 26

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source=pdf_text observed=2026-08-07T12:19:54.860930Z digest=sha256:d6dd2ee6b2e8673d61b2827fe470d31a47f26757780da535d18b20ae5b8fa8eb

Observation dfd0cbb5-ceae-4286-af20-08866ace1452 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

RAST: Reasoning Activation in LLMs via Small-model Transfer Gonzalez, Hao Zhang, and Ion Stoica

Reference 27

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source=pdf_text observed=2026-08-07T12:19:54.949929Z digest=sha256:d254b7e133ec3bf9ced514343acceb6ec01efd42301aeedd9cedf7bdc2b72aeb

Observation 3052b468-5258-4bc5-bd35-15ed19585b57 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

RAST: Reasoning Activation in LLMs via Small-model Transfer Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 28

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source=pdf_text observed=2026-08-07T12:19:55.075402Z digest=sha256:cad5f2a1f08a9dcb08e34afd6f8be524694b256f2a497156a281d0891356d0a9

Observation ae855493-4d9f-4a5a-a6d1-6f9729c8d885 · outbound

This paper cites Solving quantitative reasoning problems with language models.

RAST: Reasoning Activation in LLMs via Small-model Transfer Solving quantitative reasoning problems with language models

Reference 29

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source=pdf_text observed=2026-08-07T12:19:55.167996Z digest=sha256:268c9d225d575bce932f7800ce16905350b0c58004dfab1408759096960a18fa

Observation ff4fe356-7c20-42cd-9b8b-c6b3ab5addd2 · outbound

This paper cites Contrastive decoding: Open-ended text generation as optimization.

RAST: Reasoning Activation in LLMs via Small-model Transfer Contrastive decoding: Open-ended text generation as optimization

Reference 30

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source=pdf_text observed=2026-08-07T12:19:55.265639Z digest=sha256:9ee168fd3275eefb0efdc008306b868b7f7d24152b74c4691565d9e32aced3b4

Observation 308cb162-b716-40e0-ab54-9080b522ac28 · outbound

This paper cites Gonzalez, and Ion Stoica.

RAST: Reasoning Activation in LLMs via Small-model Transfer Gonzalez, and Ion Stoica

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:55.338132Z digest=sha256:dfc2ecb56117200a4064f4eb7b82f7c5832ee1014cec9555e9c0f86d19b256e2

Observation 514af477-8c7f-432b-9f55-04b251125957 · outbound

This paper cites Let’s verify step by step.

RAST: Reasoning Activation in LLMs via Small-model Transfer Let’s verify step by step

Reference 32

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source=pdf_text observed=2026-08-07T12:19:55.392273Z digest=sha256:651e0bc0e87f6c14aaf6cd68e07f4415aff715d585a1969f1ed27586d0c26747

Observation b003499f-575b-4391-b11b-62245e86efb0 · outbound

This paper cites The unlocking spell on base llms: Rethinking alignment via in-context learning.

RAST: Reasoning Activation in LLMs via Small-model Transfer The unlocking spell on base llms: Rethinking alignment via in-context learning

Reference 33

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raw_fallback, observed 2026-08-07T12:20:03.303013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:55.465049Z digest=sha256:5e0622782ee22266ca8dfd38f626d20145852e0df45f01d926e0675d72e324f5

Observation 926f0a81-4344-4a05-a07c-9d898abd7893 · outbound

This paper cites Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability.

RAST: Reasoning Activation in LLMs via Small-model Transfer Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability

Reference 34

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source=pdf_text observed=2026-08-07T12:19:55.541603Z digest=sha256:e5ae4fa3aa94728e39a3f8f6df308bc0d7d7e8134645239875fd1161d89f123a

Observation a8ffd325-a0f4-4e68-bfa0-e0b270d1d25c · outbound

This paper cites an unresolved cited work.

RAST: Reasoning Activation in LLMs via Small-model Transfer Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-07T12:19:55.605701Z digest=sha256:f9185dfe1b69dd892617685d90eeab6c405a93b0ed7ee8cac0cfc4bbadaea2e3

Observation 10438643-f84c-48e5-90a9-18bd9425e60a · outbound

This paper cites Smith, and Yejin Choi.

RAST: Reasoning Activation in LLMs via Small-model Transfer Smith, and Yejin Choi

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:55.687819Z digest=sha256:3d91c994eddd73c734a9dd9944acc2863d79980dd06d22724e6c422f77b586ac

Observation 230f16af-0fde-465a-8a4c-c6ffc5df8219 · outbound

This paper cites Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation.

RAST: Reasoning Activation in LLMs via Small-model Transfer Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation

Reference 37

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source=pdf_text observed=2026-08-07T12:19:55.752131Z digest=sha256:87da2e4b917f3c5816376030e6b387f5f308d7962b8a1560a0f3ebe6821c5a32

Observation 235bb221-9996-49f3-8170-3cd90a250c5a · outbound

This paper cites Evaluating language models for efficient code generation.

RAST: Reasoning Activation in LLMs via Small-model Transfer Evaluating language models for efficient code generation

Reference 38

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:55.826985Z digest=sha256:fa6daec285eaf172664f50b5609f36e31c84926dca8bcce4766ccb29a1d727d1

Observation 1ca49de3-73aa-41b8-bd7f-f16a111a157d · outbound

This paper cites Code-r1: Reproducing r1 for code with reliable rewards.

RAST: Reasoning Activation in LLMs via Small-model Transfer Code-r1: Reproducing r1 for code with reliable rewards

Reference 39

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source=pdf_text observed=2026-08-07T12:19:55.884107Z digest=sha256:3a1298f7ed9bdaa1a46efb2e7b91798cfdcc063c63253bfc17a3cd6a34d4a1e7

Observation a0fc93e5-4294-499c-a1b9-85dc70cf6127 · outbound

This paper cites There may not be aha moment in r1-zero-like training — a pilot study.

RAST: Reasoning Activation in LLMs via Small-model Transfer There may not be aha moment in r1-zero-like training — a pilot study

Reference 40

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source=pdf_text observed=2026-08-07T12:19:55.957117Z digest=sha256:89f8c9f2926ce1996b532d22c14623846db9167bc07a1a8ab2105061b946de44

Observation e64e58d9-fca5-480c-9588-dc9d490f96a4 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

RAST: Reasoning Activation in LLMs via Small-model Transfer Understanding R1-Zero-Like Training: A Critical Perspective

Reference 41

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source=pdf_text observed=2026-08-07T12:19:56.019523Z digest=sha256:96854a0694653e31a16763ad6f736bcd7b396d259bb51d36f102d4173dbd6b09

Observation d0e4ec89-fcfa-4924-be0a-09714edce494 · outbound

This paper cites CoT-Valve: Length-Compressible Chain-of-Thought Tuning.

RAST: Reasoning Activation in LLMs via Small-model Transfer CoT-Valve: Length-Compressible Chain-of-Thought Tuning

Reference 42

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source=pdf_text observed=2026-08-07T12:19:56.070931Z digest=sha256:16c9c6e9947d657b72706f75f38b786386086b6c99e75ce25eb0bd7d9132796a

Observation ed49b6f9-db7c-4a3b-a1e8-826f3d2270c5 · outbound

This paper cites Deepseek-r1 thoughtology: Let’s< think> about llm reasoning.arXiv preprint arXiv:2504.07128, 2025.

RAST: Reasoning Activation in LLMs via Small-model Transfer Deepseek-r1 thoughtology: Let’s< think> about llm reasoning.arXiv preprint arXiv:2504.07128, 2025

Reference 43

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source=pdf_text observed=2026-08-07T12:19:56.164558Z digest=sha256:f71ba791e2961a06706e0b655b56e83017529b5ff43b7e23e732704fa77f39e5

Observation b5b68d26-d5f0-472a-9665-62c5b4b8f11c · outbound

This paper cites Locally typical sampling.

RAST: Reasoning Activation in LLMs via Small-model Transfer Locally typical sampling

Reference 44

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source=pdf_text observed=2026-08-07T12:19:56.221911Z digest=sha256:da99c48b00e1d063ac02d97b2bfddc05d23dbad979457b3dcb8d68b3a00543dd

Observation f34257be-4254-4864-adc8-9a734232d01e · outbound

This paper cites An emulator for fine-tuning large language models using small language models.

RAST: Reasoning Activation in LLMs via Small-model Transfer An emulator for fine-tuning large language models using small language models

Reference 45

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raw_fallback, observed 2026-08-07T12:20:02.628222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:56.266473Z digest=sha256:eeb26015cff140b9bf77cb4601e68cd04b684df8e7354526a073a2aa95077c73

Observation 8147f793-cb5c-4d50-b3c7-419e2442acbc · outbound

This paper cites Contrastive Decoding Improves Reasoning in Large Language Models.

RAST: Reasoning Activation in LLMs via Small-model Transfer Contrastive Decoding Improves Reasoning in Large Language Models

Reference 46

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source=pdf_text observed=2026-08-07T12:19:56.343155Z digest=sha256:31c5e5f20e95a8cc24884426625636743e10f24dd47b914ac40e1ceeea0e0c78

Observation 661f850d-b6b3-49d3-b8bc-efcd4aa74843 · outbound

This paper cites an unresolved cited work.

RAST: Reasoning Activation in LLMs via Small-model Transfer Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-07T12:19:56.436595Z digest=sha256:95f40e6e5f800fc71b1ede54d3221a2a9eccb86f79d0cc983e78edb9839afe10

Observation 475e6019-2ffa-4366-aa72-6d819fd15d79 · outbound

This paper cites Tinyzero.

RAST: Reasoning Activation in LLMs via Small-model Transfer Tinyzero

Reference 48

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source=pdf_text observed=2026-08-07T12:19:56.528730Z digest=sha256:480b8f0a6b1f9fd1fdbab6ee088ec991508c238d7a9123cf264f9d4f09bffc80

Observation b949a1c3-9162-43b7-81ed-f2f238a7cc49 · outbound

This paper cites Iterative reasoning preference optimization.Advances in Neural Information Processing Systems, 37:116617–116637, 2024.

RAST: Reasoning Activation in LLMs via Small-model Transfer Iterative reasoning preference optimization.Advances in Neural Information Processing Systems, 37:116617–116637, 2024

Reference 49

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:56.615182Z digest=sha256:015ac46af0000697e12138564b652af1d0f9276fe15868242df7d553709d1b9c

Observation ae56db29-ab40-405d-8f03-65998830836c · outbound

This paper cites To backtrack or not to backtrack: When sequential search limits model reasoning.arXiv preprint arXiv:2504.07052, 2025.

RAST: Reasoning Activation in LLMs via Small-model Transfer To backtrack or not to backtrack: When sequential search limits model reasoning.arXiv preprint arXiv:2504.07052, 2025

Reference 50

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source=pdf_text observed=2026-08-07T12:19:56.708516Z digest=sha256:85a0395b40e84e789c30131c624cb7efbce86e178fbb61ace367149e3abf9154

Observation b6277a67-23e2-4599-8947-5678abb5a4dc · outbound

This paper cites Entropy-based decoding for retrieval-augmented large language models.

RAST: Reasoning Activation in LLMs via Small-model Transfer Entropy-based decoding for retrieval-augmented large language models

Reference 51

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raw_fallback, observed 2026-08-07T12:20:02.278170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:56.807648Z digest=sha256:52f86280285ef9b96fff387e1c0ae657d76ae5a816f161c026156247e4ed60db

Observation 7fb73db4-dd3f-4367-817e-16af2a41d32a · outbound

This paper cites Proximal Policy Optimization Algorithms.

RAST: Reasoning Activation in LLMs via Small-model Transfer Proximal Policy Optimization Algorithms

Reference 52

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source=pdf_text observed=2026-08-07T12:19:56.903984Z digest=sha256:18a51506f4c670dbfd94bd40ff05b77e4e8e8cc3bd416ac38e8cf5f62a399d56

Observation e7e3bfed-91c6-462e-908e-bb469fd50f26 · outbound

This paper cites Rewarding progress: Scaling automated process verifiers for LLM reasoning.

RAST: Reasoning Activation in LLMs via Small-model Transfer Rewarding progress: Scaling automated process verifiers for LLM reasoning

Reference 53

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source=pdf_text observed=2026-08-07T12:19:57.000402Z digest=sha256:71244c71c7f00b5bf3a281c638784779ff12befeb7a583de346e854a5d713ddf

Observation 7fbd95b3-7cf2-4b68-9b1d-b34af8f2330e · outbound

This paper cites an unresolved cited work.

RAST: Reasoning Activation in LLMs via Small-model Transfer Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-07T12:19:57.104956Z digest=sha256:a311cc85753211690ab55beb603dfee752128884232c363e3890f4dd087e7a52

Observation 41feb066-70ce-43af-90de-88992e35a05f · outbound

This paper cites Hybridflow: A flexible and efficient RLHF framework.

RAST: Reasoning Activation in LLMs via Small-model Transfer Hybridflow: A flexible and efficient RLHF framework

Reference 55

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raw_fallback, observed 2026-08-07T12:20:02.089039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:57.189455Z digest=sha256:eac4d58c68b1bfd413030ac7b1282eff4e3e27301dc3722c7a8fd1c2ba371611

Observation 287972bb-b03b-4de8-8698-22064c7ee138 · outbound

This paper cites A thorough examination of decoding methods in the era of LLMs.

RAST: Reasoning Activation in LLMs via Small-model Transfer A thorough examination of decoding methods in the era of LLMs

Reference 56

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raw_fallback, observed 2026-08-07T12:20:01.934569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:57.295356Z digest=sha256:96c1c0ee99c912b76103479edc748ba0489ef629cc5703a29a91a683f8553ed1

Observation 1c038553-c0ae-4567-8990-e20166ec2b78 · outbound

This paper cites Trusting your evidence: Hallucinate less with context-aware decoding.

RAST: Reasoning Activation in LLMs via Small-model Transfer Trusting your evidence: Hallucinate less with context-aware decoding

Reference 57

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raw_fallback, observed 2026-08-07T12:20:01.761300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:57.549632Z digest=sha256:a6a825ab2d85ed48c67ecef081c69cc2a5db3453d331385280efee53801eed91

Observation cb2d5ba8-66c2-4307-8154-e7d7aadee8db · outbound

This paper cites Teaching where to look: Attention similarity knowledge distillation for low resolution face recognition.

RAST: Reasoning Activation in LLMs via Small-model Transfer Teaching where to look: Attention similarity knowledge distillation for low resolution face recognition

Reference 58

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raw_fallback, observed 2026-08-07T12:20:01.559718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:57.682540Z digest=sha256:9a9ff8c566b126234eae956b2c8f9614eb21065026997cead20ed11760e1f80d

Observation 112c714d-0ca5-42c3-91d1-4e2bf2196d20 · outbound

This paper cites MIT press Cambridge, 1998.

RAST: Reasoning Activation in LLMs via Small-model Transfer MIT press Cambridge, 1998

Reference 59

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source=pdf_text observed=2026-08-07T12:19:57.777695Z digest=sha256:714474699b44919917a02830f4476f96a3a0538da65d0c5eb6e412530e2acd89

Observation 3ce0cefa-66de-4a10-a034-fbe18906cf91 · outbound

This paper cites All roads lead to likelihood: The value of reinforcement learning in fine-tuning.arXiv preprint arXiv:2503.01067, 2025.

RAST: Reasoning Activation in LLMs via Small-model Transfer All roads lead to likelihood: The value of reinforcement learning in fine-tuning.arXiv preprint arXiv:2503.01067, 2025

Reference 60

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source=pdf_text observed=2026-08-07T12:19:57.864054Z digest=sha256:4ef1ac397f1070f5d7fe67e85ce01dc2e2efbc0b9c8adb84e1a44ddacd416072

Observation 51879303-66df-4ad3-bb30-febaea692ad1 · outbound

This paper cites ReFT: Reason- ing with reinforced fine-tuning.

RAST: Reasoning Activation in LLMs via Small-model Transfer ReFT: Reason- ing with reinforced fine-tuning

Reference 61

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raw_fallback, observed 2026-08-07T12:20:01.360342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:57.999893Z digest=sha256:70300d66e8130437402632a0761b31322ceaadb66eb8e328fb2b591d941a6613

Observation 852807a8-bb9b-4bc0-a8a2-f2ce2edfcef0 · outbound

This paper cites Contrastive decoding reduces hallu- cinations in large multilingual machine translation models.

RAST: Reasoning Activation in LLMs via Small-model Transfer Contrastive decoding reduces hallu- cinations in large multilingual machine translation models

Reference 62

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raw_fallback, observed 2026-08-07T12:20:01.162478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:58.085616Z digest=sha256:113ed4fc32710731d0d39efa74bd86fbe30e99223af629addc24f3ab2946fc1e

Observation 111d5616-7b48-40dd-b4e9-5e8ce5d46e10 · outbound

This paper cites Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey.

RAST: Reasoning Activation in LLMs via Small-model Transfer Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 63

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source=pdf_text observed=2026-08-07T12:19:58.193137Z digest=sha256:0173d3d500e81b52c007c673c816d31a13e9a80753becc1a8682a40c427e7131

Observation 17fd6f62-6da5-4dee-ab20-1f9c678c8011 · outbound

This paper cites When More is Less: Understanding Chain-of-Thought Length in LLMs.

RAST: Reasoning Activation in LLMs via Small-model Transfer When More is Less: Understanding Chain-of-Thought Length in LLMs

Reference 64

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source=pdf_text observed=2026-08-07T12:19:58.290009Z digest=sha256:2a4ddb47178f637fd5ed5347763ea96adb236c35041aef5828daefb53086f2b0

Observation 9a24c6e9-41d6-46a9-9a02-d1425b5020a2 · outbound

This paper cites Tokenskip: Controllable chain-of-thought compression in llms, 2025.

RAST: Reasoning Activation in LLMs via Small-model Transfer Tokenskip: Controllable chain-of-thought compression in llms, 2025

Reference 65

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source=pdf_text observed=2026-08-07T12:19:58.382940Z digest=sha256:0b1636f7d71bf6e22dc7ebe39fb7e563f4294a57322bd13c5f0e8d086e4557af

Observation b7514a59-8655-4efd-8d8c-0ec0367d6e72 · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

RAST: Reasoning Activation in LLMs via Small-model Transfer Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 66

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source=pdf_text observed=2026-08-07T12:19:58.607380Z digest=sha256:17b01eb994b27d71dd81aff4e72dbc21c47a01de09447712a21819a788251c43

Observation 805338ed-b647-43b9-9aae-94e14435bd18 · outbound

This paper cites Qwen2.5 Technical Report.

RAST: Reasoning Activation in LLMs via Small-model Transfer Qwen2.5 Technical Report

Reference 67

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source=pdf_text observed=2026-08-07T12:19:58.683359Z digest=sha256:6b7afaa0e6573cd0b74d4081078b61ed8e07ca6df02711e2eb98de76565eaa30

Observation f2c8036e-f9b9-454e-a544-10e25ef41675 · outbound

This paper cites Qwen2.5-1M Technical Report.

RAST: Reasoning Activation in LLMs via Small-model Transfer Qwen2.5-1M Technical Report

Reference 68

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source=pdf_text observed=2026-08-07T12:19:58.792545Z digest=sha256:d9bd1c88be8f5ea538e41eafd65aecd2379b46a337188256cc9602850801d53b

Observation b1c10506-a921-4630-81b5-34718180e5e8 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

RAST: Reasoning Activation in LLMs via Small-model Transfer DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 69

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source=pdf_text observed=2026-08-07T12:19:58.891496Z digest=sha256:d99760bcefffa1e72fb0cc1662f2a57a1edf59df05e883d99b1644d5e2ada42d

Observation d10a0f66-7e1f-4a81-af11-cadc9f78e102 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

RAST: Reasoning Activation in LLMs via Small-model Transfer Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 70

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source=pdf_text observed=2026-08-07T12:19:59.004892Z digest=sha256:c934015e962c85d40a6036bcd4ffe806a5e02160b2b1d234f2a5078f9697a3c3

Observation 9edbc697-ac34-42bc-bbf1-6012d05576f2 · outbound

This paper cites ACECODER: Acing Coder RL via Automated Test-Case Synthesis.

RAST: Reasoning Activation in LLMs via Small-model Transfer ACECODER: Acing Coder RL via Automated Test-Case Synthesis

Reference 71

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source=pdf_text observed=2026-08-07T12:19:59.135899Z digest=sha256:1769d43afbccfcd9860078939e73c654bf98d7922554221cc3643d151a3960f0

Observation bb0c4447-dac7-46cb-8d05-89eefa6d070d · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

RAST: Reasoning Activation in LLMs via Small-model Transfer SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 72

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source=pdf_text observed=2026-08-07T12:19:59.252514Z digest=sha256:5d80bbadfceb5e0cef8573bdd821519d8da3223da32275a98462be49868240d9

Observation 38f7ae41-ebd4-4789-81c2-c899bd09221e · outbound

This paper cites Entropy-based Exploration Conduction for Multi-step Reasoning.

RAST: Reasoning Activation in LLMs via Small-model Transfer Entropy-based Exploration Conduction for Multi-step Reasoning

Reference 73

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source=pdf_text observed=2026-08-07T12:19:59.365863Z digest=sha256:cfefe7ea894da98888297dfe28200999ebbd5380efd3cb8e237b2530583bf6ae

Observation c34a1c97-537c-4a4d-a78e-267fce97c439 · outbound

This paper cites Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining.

RAST: Reasoning Activation in LLMs via Small-model Transfer Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Reference 74

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source=pdf_text observed=2026-08-07T12:19:59.473464Z digest=sha256:270ccfe8221cc89594aa40b1af9e02db953bf15c2a4f6fbc7824ce3402e77e8f

Observation 933366d4-8750-4c98-aae0-3765a2405949 · outbound

This paper cites Easyr1: An efficient, scalable, multi-modality rl training framework.

RAST: Reasoning Activation in LLMs via Small-model Transfer Easyr1: An efficient, scalable, multi-modality rl training framework

Reference 75

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raw_fallback, observed 2026-08-07T12:20:00.992662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:59.529073Z digest=sha256:e072eb4e4791a386c4a17e1076dc037bb4619fc2d9ef1764a2929cb2b8cca9c3

Observation 1380abfc-7010-4f6d-8b69-0fec6b2878df · outbound

This paper cites Seeking neural nuggets: Knowledge transfer in large language models from a parametric perspective.

RAST: Reasoning Activation in LLMs via Small-model Transfer Seeking neural nuggets: Knowledge transfer in large language models from a parametric perspective

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:20:00.823205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:59.642719Z digest=sha256:964c6734bc7afa90e7e115dea5f98a4041c6674da581d21debb7e0fdd7811f09

Observation af717802-f82b-4a10-952e-2efa8276f2cc · outbound

This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.

RAST: Reasoning Activation in LLMs via Small-model Transfer R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T12:19:59.763495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:19:59.763495Z digest=sha256:35b25ce8b473370f1ddc473687a482d9a1186b0baf8cd2107ecc85fb6029c051

Observation e7bbd4bc-527e-451f-b3b1-c966ad14aba5 · outbound

This paper cites \boxed”. For both prompt templates, the “{input}.

RAST: Reasoning Activation in LLMs via Small-model Transfer \boxed”. For both prompt templates, the “{input}

Reference 79

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T12:20:00.593103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:19:59.838557Z digest=sha256:e1d82c213cb8b8990191f1eb3662b3b5004f470f5054aefa54afcb8057edd27b

Observation f3e51892-9652-4710-acbe-76ca5e80113c · outbound

This paper cites an unresolved cited work.

RAST: Reasoning Activation in LLMs via Small-model Transfer Unresolved cited work

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T12:19:57.392418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:19:57.392418Z digest=sha256:811dc35da1fc362487e5d998ce30097cf0e887a0453ae9338a8e7ce9f38ad79f

Pith citing papers

Observation 3c5d12a3-de21-479e-af02-a3409bea21e3 · inbound

Procedural Knowledge at Scale Improves Reasoning cites this paper.

Procedural Knowledge at Scale Improves Reasoning RAST: Reasoning Activation in LLMs via Small-model Transfer

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T22:08:20.416851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T22:04:54.727468Z digest=sha256:02401c1a355a286c51d37e44765d3b0b6164c35a1ac6c6f4c83364ef6cfaaa6c

Observation 07d0eb52-9f35-4a9b-b519-878800087015 · inbound

Procedural Knowledge at Scale Improves Reasoning cites this paper.

Procedural Knowledge at Scale Improves Reasoning RAST: Reasoning Activation in LLMs via Small-model Transfer

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T17:00:34.918164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T17:00:34.918164Z digest=sha256:f25f097ac0a6fa2da531a018385e6e67d29e60b91dc8df1481457d361a0b106d

Observation 1dd00eea-4021-4895-a18e-f3f24193cb01 · inbound

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment cites this paper.

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment RAST: Reasoning Activation in LLMs via Small-model Transfer

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:56.398757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:36:44.401045Z digest=sha256:cc790b7eff00bc667372b3fa68ed54ed10d42089daa6d0ad3c917740f340d234

Observation 39dd0be0-77a4-4a9f-82cd-5de91e7d6009 · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media RAST: Reasoning Activation in LLMs via Small-model Transfer

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:08:20.399041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T14:05:14.737146Z digest=sha256:d805f85e65f5e34aad18e965323d4b5dafa8c4bdd889f3bcc602feb30cc50e23

Observation 252174ef-ce02-4235-adc8-60f455deef04 · inbound

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning RAST: Reasoning Activation in LLMs via Small-model Transfer

Reference 130

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:38:56.093420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T01:13:11.483599Z digest=sha256:06482a1ec16ce791c066b7b5eabdb06e1851c7d5c92c70571a742a6db087cba7