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Paper Citation Record · LEDGER

RAST: Reasoning Activation in LLMs via Small-model Transfer

As of 7 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:fbb0404b1a7466dfb484837f706423a53557cdd77469516908c78f455c074777

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=sha256:3d8b9e18885a7f8bdf39a8ff6cf4e7ff8dc63aaa73d96b1aa2327f17aecc0ea4

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=sha256:8d1aca7721373e595b3cc692330419170d2884493bd9070ea70f346e8b3091f8

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=sha256:04329390f1e0e90c4835385fc2df4d9d6eee9502df7f30b0079038c18697f803

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:e44e19bed4825e821512371e49586e9fc6f8adde6890274d0b41a836530ed68c

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:b4b80027e422b89a5b1e9304406a9ff52b371445c18c2b61c75f12d1b7947b42

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

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

source=pdf_text observed=2026-08-07T12:19:53.118568Z digest=sha256:3dee93cdbe9abc30612f8e34ebf3c93879d7472660bc5d75b8acf5aa93cc9855

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:ad5ec4658d92feb9e10da3e93a7c5437187dcdd740eee3eefe9bbb7071e7c0fc

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=sha256:9c00cf9580c1dcc7cfc7eebd545804cd1431906f7fc6c76ae11cfc0e4cd09f75

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=sha256:8717968e0acf738dd76e6bb9a176cbb5a01e35901d6d45a3fc22f47bd65a095e

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:d447d52b3c0b5b2a94c4abbfcb24ccd3cd877bd9857897fbf199eb0783923021

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:f3016b44bf0c2949d20594cfb065c1bf6e5f7275dd201750a45c8a3674bf6fd3

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=sha256:126af098b57319468adf3058b349dffb5a3727ceca848bbade8d44bab227a051

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:c59259a56672d33c00ea5cae0551cdff7c7d81a1f5a5a9c269bae86d92f96de0

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:a653ed2a43e92c915315ead094a09eb730099733c6bf14d6b51a0a8349eb3e30

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=sha256:730d91a48515a23cbf04d4ecacf237e063d8962907b8dccf1b31dea449e10ab1

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=sha256:5a72e6ebbe21b31825c2d0e7b611255731c9d4b82031d692933311a68a52da00

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=sha256:8bca199ac0f7d04c4ac484cec4bc2fff330e221549361dff73091f9287d14698

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:b618f29481e73f6b1d62efc851a346218dc4e6eb38865ea0f3c195dba295e04d

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:de0d31d83c0e06c8604739be1c0170e9c78f7359536d05f21e7e662d212faf2e

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:ca058de1796b2477d6276fa1557368c34fb5cac6ced26da892ee5b582f471b56

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:19:54.444286Z digest=sha256:d4fcf15011abf7d61fe43949bbc44977b1cf4d8147310032672c71bd6110293d

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=sha256:75c534434ce73dc53218d7f99c836e9a3e09357d4c98b8dcd8bf438bec4c78b1

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:fae87ae122b0fff80183426786c889174f725340ea7e2a46def727f48b974cd1

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=sha256:3939a88c37cbe5ce2454bc44ac982d97e7d8fa7ac6b7f0588a183462587f7125

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=sha256:255f5f0ee393645de54b9b217bc4fccbd5961fff72bde08a07618834ca294210

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:c71233313ea93e6895cb354541a175b5289688bf1e1bb3536f41f1339ff46638

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=sha256:8efd44d438376c2c99f33f7ee58a03f944031ba59fc14a6fde1d44cdde1f7064

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=sha256:2641a54a0a32f0d2ed53e9c07225bf7a0c49d5f018fc2357919e537aaca2563f

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:da22d307d10dee2f3435732b6a67c76bd5565274a4f5b4a62159feaa87f3819c

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:fcfeea1313b6f126c88fac5ba8c86f4a7c61892c4bf3ccf7ea7fc940f9ffcd2a

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:ccc46516b2cf9831acda09deabde4701229fdeeabc835c6969296d5408747868

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:a8ab6b9b9f61d648682f42c80640a0d20246424734d299e99998bb29e8cfa442

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=sha256:46afb93c74173a05c09e35b50a889e6039c0d98c4c2dac77eaf4bc3a9c46f96f

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:ca5143bfa0ec59d335104128c5bcea1b58e261fa19f40b46725aefe37e9cba58

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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raw_fallback, observed 2026-08-07T12:20:02.970926Z

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:a076c6519009cdab5b6638f550190314818de9424332fb6f863557d1d9a35925

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:ca9f001d9f4d380305ad72a092838634fe7a232ddbd15a42beea05da61e62495

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:b83a32e9b8e65176638e71b285e52024d29a91e472a51295b9e14073fdb41964

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=sha256:6906b13b82c6d4fa4753ac4d437903223e9ca366b1123925da4c34293ba10042

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=sha256:323e77e5dc44163f0c82dd13a6c25194d73fe98c6fde4a123930517989003146

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=sha256:15a8cc4fcb582be3e697ed9365c88c7b13a8b5dd776d1b05032440a4c5d3c56d

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=sha256:29a8ec13e51a1a7233a17d5127fcc77346d63229dfa20dbe97e5f1b83713a1c0

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:cf43041e96a6da72d79ceaa24051c2e011cc114032fb23ff55ae60ac5f596fa8

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=sha256:31702a1c49ea2286cbee47b3a0d3694cc3cbbe3c86eaf63fb003f2a1d3749b05

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=sha256:29025e954d04e620f340c82c8a07d4a34b81e8ef450c6e4ea9eb9ea0ecc9e6e3

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:b7241cd2de734ec1f9d72ac6d5632ba1b45fa0db10f1d84654ea88045d0c1e7f

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:f8eb410072668e0d40ae613ca6f637c45fbed1a268a7878f00954bc4b4b47efd

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:a831a521e73ecb7b0632ea6326aa1bae7e24960e7c9e2ea3254418b597984aa4

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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raw_fallback, observed 2026-08-07T12:20:02.435444Z

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:be7119636fd9660ba7174cbb62a32a3eb63fc304752a3f44ee3bab6e859bda93

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:f61593afec8c716721f68ae5a68fd3308989afb7e70bb7fcab402cbc1c164a22

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=sha256:2022c17f6d2b3427bedcfcc111aa8e64c22e7e41915514d4deff9d75431c79bb

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=sha256:262480fa3d883a2c7c0b23b995626e873c2e2bb7b92e21d699a5b23672b28315

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=sha256:665d644fcce67385107afcde259adbccc955395bd01784db28241f342a30ce13

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:c40a55ff288b82dbf2a21241c6d2c77347556f4d4c63ffe008edfee92274847c

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=sha256:062283d114a2b3bc2e68712ccedb9c9757ef3c253d88eb488a1d65ef7e513fb1

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:bb80207d4ac35750d19424dd2374aeff38725142ac33ffceaa0348b378486914

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:cb0f7900669014f7bac57466e3043ba7babd684ea128f7ff991b9276b6a2fb51

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:fb3bbba1b660b51d981973827953bfe6efeb12af13b2efd341192515270dabae

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=sha256:8686cba43d929550f766bacf9e0c8671cae7fc2a15fa2feb00d9f8147efe9165

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=sha256:3c9a178809e66bbf4677d289837ffaf9115bceb31a2dba52342379668f1620c1

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:aea26576501a21940bebccc2ca8a20fa8829677d98e0de7c407376539c3e35f6

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=sha256:5180238c010a40c997a8845ccc6911882fc2b86ec877757b462a2d4cd24e35c6

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=sha256:047c5974f847e3a3a78bf0f9bc881200482eebad74931f9d0c3f7846b8b4e20c

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=sha256:8270b314858d010cdae8331807a202822712f5b57ed076b1cc99f89ea10b127d

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:bb147f59413fe756a5c78ed6bb6315f9b01c3b5774d83476eba1a1b3cddc061b

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:d6e1f92075cd5fa85f5878dd7fc2a4179871bec9e2911ca0669fbdb630cda7fa

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=sha256:3c74d0112bc4b339e270f0ce42969abc24b1d3bd11d1a4a8f1eeed72789be762

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=sha256:2025d7f78ad4c7e18dd747bb1f30c6a87e7d7254a764cc9c7528f11f7296c0ca

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=sha256:55cdd976ae8955f100490128f8c9adeb32bc70c666450d874e0f4e1336dd8a65

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=sha256:3bcf46bfefe6264fe9ad20b5b68eb9b16795e027c3d2d7cbc043484619150caa

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:dae315a29939be13f5fdb70f95bdd75b17c96f13255fc086cad3a124c3d5a076

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:b909065083431ed7250b223773d54ffa6b9b68796e293b4c5d10ecd6f59333f3

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=sha256:6bb8ee0043076f91f91e0a16cb26b664538bc0311ea7b1b592620979d6c89031

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=sha256:92ef78098bc68642cd5999fff49257eebdd26aba1fd75a9e282f6e7559620e68

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=sha256:5b6dba1607c50e366eadadf385026c9db8506a4a827d948c3365dac8c62bcdb0

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=sha256:22baa982bb26996ad8b7d6506156eb64ed97acc5aba74f63d3dfb41f47982784

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:e8886d1016c730bcebc785fc454d403ed97fa491e4a91a8d92c5d2fe32652821

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=sha256:9231499f364c6dd123e5e9d2b12f1020eeea85fe0feef70f0538cbc03d6b50cf

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:c5b0dcc161e738a03f2408353fc2a5e164a25862c1203aba61fd62dbaf3b2589

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=sha256:95be1a153ac145fe6806507d7eb555109c3a724f107ddc682fc08bd68b598de2

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=sha256:730e1c5d17260a60943965693fd8d17a2df249bc4933ebffedae1b89a607a51f

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:bd68d3051322e709bab7e47eb87fb5ff9cb05094602553963a76377e8e0f0d7c

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:fbda38ad4a36e5ab7f9f496025ea55f3598887f1e7753a14504b0667b71e0913

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:c19ac365bdf26e1c6550edebf90060f34174cd4396460cec0410a6f95fb7d8d7