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Paper Citation Record · LEDGER

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 18 inbound Pith citation observations for arXiv:2502.07316.

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

pith.paper-citation-record.v1
2502.07316 v4

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:11:51.801038Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:49.182311Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:43.920025Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e080261-8ec4-41b5-b15d-4ae448fcb092 · outbound

This paper cites write newline.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.530675Z digest=sha256:43126702c5e8138d88babd5a5ebaf7b68d8f745bc9ee431a5074764d3754841c

Observation 674b3a88-c4e9-4138-a046-f8f0e6dfc751 · outbound

This paper cites Qwen Technical Report.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Qwen Technical Report

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.537020Z digest=sha256:fea7e46e41ebc85beee719c62304180fc3e15cf400704c158de6033527218d77

Observation 558c8f18-772b-448f-b2d3-2e54e67d67c7 · outbound

This paper cites Smollm-corpus, 2024.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Smollm-corpus, 2024

Reference 3

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raw_fallback, observed 2026-08-08T13:11:52.608410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.543267Z digest=sha256:9e56a833afecf29323172b4b36e153951104111e71e19acaf8d878dd5994fc23

Observation 24b306cf-e8b6-4635-bb36-1e9b3a411d7e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Training Verifiers to Solve Math Word Problems

Reference 4

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no resolver link, observed 2026-08-08T13:11:51.548461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.548461Z digest=sha256:a917b0f9d491d3124553cf4acafa36033b2ef5eee15692a0a0e9bc93d68a24c9

Observation ae3c64e5-41b6-4ea1-b54c-9c533c2c8c2c · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.555174Z digest=sha256:170019eba2bde595dc5e4e7614452ba4d277cce900473cb909d055b9bbc64d7c

Observation b40dbafb-bb88-4266-b6e7-0387a9c683f6 · outbound

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

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

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no resolver link, observed 2026-08-08T13:11:51.561451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.561451Z digest=sha256:7e4ce0370df866b94ad1085205256d7c2a9e7b19af7917d00eefeb70448a3e85

Observation 53bf2921-e5b8-48be-90a0-b8c7206bb047 · outbound

This paper cites an unresolved cited work.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-08T13:11:52.592921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.566973Z digest=sha256:4d2c1e0a1a7ee79b65bf37ef92c13da1c975aa7da84d656086d6915927d018ed

Observation 1a09901e-580c-4a23-8247-7725df8a113f · outbound

This paper cites J., Kaiser, G., and Ray, B.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction J., Kaiser, G., and Ray, B

Reference 8

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raw_fallback, observed 2026-08-08T13:11:52.577955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.573275Z digest=sha256:921ef93dabc544320c7e09da57c32c680fec63ef16bd87024259b6b9d18f09d0

Observation 4e2f7ca3-93d8-4a20-bcae-095ea8361159 · outbound

This paper cites J., Kaiser, G., Yang, J., and Ray, B.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction J., Kaiser, G., Yang, J., and Ray, B

Reference 9

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raw_fallback, observed 2026-08-08T13:11:52.563236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.578136Z digest=sha256:c4d8e1cb6cc731dae496c612807d39a384afeef5768dfa540158557d7763b7df

Observation 105978bd-6a40-4233-b747-2fd1c036dbc8 · outbound

This paper cites Traced: Execution-aware pre-training for source code.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Traced: Execution-aware pre-training for source code

Reference 10

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raw_fallback, observed 2026-08-08T13:11:52.548373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.582514Z digest=sha256:31e91ed7230e7fe5f1d4763396b978944469265f0383427697ad0eb20f3c8974

Observation 71654bf7-0990-4425-8945-0235430d2e85 · outbound

This paper cites Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs

Reference 11

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raw_fallback, observed 2026-08-08T13:11:52.533190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.587529Z digest=sha256:fa0f40fdbe8b5b37f47983d27f784a39871a102595ec9da8a0bcfcc59da15599

Observation b4d4f12b-0366-4f31-a759-cadcae69654d · outbound

This paper cites The Llama 3 Herd of Models.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction The Llama 3 Herd of Models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.592501Z digest=sha256:fe01ab3797278fc30e286fed8c236cc9ccc65110058cae6bd40d2f73d50f6e4c

Observation 4bdfee9a-31a6-47b2-a7a8-2eed871cc654 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Gemma 2: Improving Open Language Models at a Practical Size

Reference 13

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unresolved
no resolver link, observed 2026-08-08T13:11:51.597614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.597614Z digest=sha256:7e27cdac13a81cb7fbf5ce24846908e7544c00bc763c6b24b34f737e06b1c89c

Observation 032cab5c-a529-42f9-98f2-aa715497006d · outbound

This paper cites Neural Turing Machines.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Neural Turing Machines

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.602647Z digest=sha256:5068a38e31feca2f188e1c9e0d07461a9a7fcccf86ed43de503af732766db373

Observation abffcb0e-e59d-4fb9-8306-f438ca72cc49 · outbound

This paper cites J., Solar-Lezama, A., Synnaeve, G., and Wang, S.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction J., Solar-Lezama, A., Synnaeve, G., and Wang, S

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:11:52.518730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.607618Z digest=sha256:7ba4f6dfaec190c28402cb1b1c25800a0194d8908d728e2063e6f41c09ca1c25

Observation 0d3662e0-7347-4166-8cea-b10139503fce · outbound

This paper cites Measuring massive multitask language understanding.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Measuring massive multitask language understanding

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-08T13:11:52.502571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.612270Z digest=sha256:48b7448d93a344f3b291740f52af97646b1125e7cc312f760c0aed6adfb07865

Observation 90638f7e-2c51-4c1a-a363-b947e0916845 · outbound

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

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Measuring mathematical problem solving with the MATH dataset

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:11:52.485672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.616843Z digest=sha256:dad59a887e0e3b779a4735568655fde90d69f5576ecc14f8654a581bd2119727

Observation 79bc69ef-58dc-4758-9487-0711293cab21 · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Towards Reasoning in Large Language Models: A Survey

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.621543Z digest=sha256:c6651deebc2e8e028f7279c716793f8bd36db57a6dc51a5e2568a5895eabc405

Observation 995d89b6-3962-4f5a-b72b-8240891606d2 · outbound

This paper cites OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Reference 19

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no resolver link, observed 2026-08-08T13:11:51.626772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.626772Z digest=sha256:c7bb96756dab857cc114fcb564b937cd79f4c5116f00c4e62b1112c603f9eb87

Observation af861f65-0b39-4ed7-910d-290b372a92a6 · outbound

This paper cites Qwen2.5-Coder Technical Report.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Qwen2.5-Coder Technical Report

Reference 20

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no resolver link, observed 2026-08-08T13:11:51.632934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.632934Z digest=sha256:4dffa246e5d2ee4ec37f95357978de7f39b07eb56b197510a8add7976d1bd307

Observation 4a85eb4a-2cf0-4634-bbb3-0cb6a5085f1a · outbound

This paper cites OpenAI o1 System Card.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction OpenAI o1 System Card

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.638427Z digest=sha256:c665b5395cf8d206f5265f818352602d041aa42f540a390c48e1a074273722ec

Observation ab3297a0-61ca-418d-aaa3-980a5ad40a59 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 22

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no resolver link, observed 2026-08-08T13:11:51.645391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.645391Z digest=sha256:0a22899b04bbf41e63d638a9cb4e7c195bef3cb718708719438bead3ea2a01bd

Observation e1c9c2b1-cf39-44d2-aa61-90f26f5b4e5f · outbound

This paper cites Mixtral of Experts.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Mixtral of Experts

Reference 23

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no resolver link, observed 2026-08-08T13:11:51.651434Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.651434Z digest=sha256:f9397ff52d598cbf6ce19f4051838498f86767c6d9b4101190e123eeacbb909d

Observation 3790b217-7565-44a7-b06b-b4c22e9784a2 · outbound

This paper cites LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.656412Z digest=sha256:b4ffcfba8cf6e5ee48ce16bb713bc6d1ce6a38ca69c26e1c541239f6f850989b

Observation 00f33aaf-6960-4f2f-ac19-8a1b22d3aca1 · outbound

This paper cites and Wolf, A.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction and Wolf, A

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:11:52.470476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.661804Z digest=sha256:dc989f69d4592b6d52d4c7142698ed985976f48ac17c9b6958dd7437a8c7d8a6

Observation a3baf06a-eeb1-40c0-8741-4a037ad3bbd6 · outbound

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

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 26

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source=arxiv_source observed=2026-08-08T13:11:51.666419Z digest=sha256:bb660c680115bb546423d927679efb0295e5dde853634e5c5fcc2e2ca49e30fe

Observation f2fa3866-e3b0-435a-9775-a9b5422fefab · outbound

This paper cites ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 27

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no resolver link, observed 2026-08-08T13:11:51.671603Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T13:11:51.671603Z digest=sha256:4e17b9ddb824f064e66d76c0d9bae0dee681c88fd4f4a410bb0f6535daad7c98

Observation faf51276-29e2-439a-b736-829511ccc80d · outbound

This paper cites Code execution with pre-trained language models.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Code execution with pre-trained language models

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-08T13:11:52.454452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.676252Z digest=sha256:4ee454dcb5c2dd923d249d03a7b25af177a8313acab73815c3c1eb1a1c9c53de

Observation 4a9a8be1-b082-47cf-b4d8-222934c993aa · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction StarCoder 2 and The Stack v2: The Next Generation

Reference 29

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unresolved
no resolver link, observed 2026-08-08T13:11:51.680528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.680528Z digest=sha256:8e82924fc06a41428f198cf2cf03ed0422226e794ba0b91c0554192cf6a6475f

Observation 9e9b70c1-261a-47d9-9fdc-b2e8e9370432 · outbound

This paper cites KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks

Reference 30

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no resolver link, observed 2026-08-08T13:11:51.685160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.685160Z digest=sha256:7c19cc2aca9ffdf5fc34e6b86cd8623144712710d4b986b6a689cb3fe2c01d4b

Observation 0a4f8268-4360-4d83-844e-eda88dc53bde · outbound

This paper cites Codestral, 2024.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Codestral, 2024

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-08T13:11:52.438044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.690798Z digest=sha256:de808d07fc270629ac0f6ae228e325b6467d5aa7378b8e9f68406f5795d7960a

Observation 7e449019-26c9-48a0-8bd8-914e4ef3c4c8 · outbound

This paper cites NE xt: Teaching large language models to reason about code execution.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction NE xt: Teaching large language models to reason about code execution

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-08T13:11:52.422141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.695776Z digest=sha256:0a8670366b92fb6d7409e0871585355420d3dde730fe5338f613a5de24a1b749

Observation c3f4b0e4-6160-443d-96f0-b2eb0ef0c24d · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.700515Z digest=sha256:7c147a1fda0551967fc70b4b363e02f94186e23061ab1107bf176ad992c33a22

Observation 85a2ad47-42a2-4740-a3ca-82e72fc23a57 · outbound

This paper cites Reasoning with Language Model Prompting: A Survey.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Reasoning with Language Model Prompting: A Survey

Reference 34

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no resolver link, observed 2026-08-08T13:11:51.705620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.705620Z digest=sha256:c14cce269a627a577e863797ac86fe70ccd7882028bdd5ad4892457992c75963

Observation 696cdb50-5d79-4088-b03f-bacaf73b5706 · outbound

This paper cites L., Stickland, A.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction L., Stickland, A

Reference 35

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no resolver link, observed 2026-08-08T13:11:51.711180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.711180Z digest=sha256:c0a7962fb8e1de03439582c3619b49c70803f6aa2d23bf00dabda5574b42a16a

Observation 41bf6f52-e3b1-435d-a30a-c595eb96227e · outbound

This paper cites Code Llama: Open Foundation Models for Code.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Code Llama: Open Foundation Models for Code

Reference 36

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no resolver link, observed 2026-08-08T13:11:51.715986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.715986Z digest=sha256:f4a4aed58fcb18c11e3e3eac226afc3a5e1a354897a03d1b7d78c70df98dc99a

Observation 60ecfa4d-893a-4e7e-9c9a-2e988af98660 · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Winogrande: An adversarial winograd schema challenge at scale

Reference 37

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source=arxiv_source observed=2026-08-08T13:11:51.721133Z digest=sha256:46f2cb2f0d4fd0f59c6db4af29d3cbb03fa10ba22543bb577e328c9148ceb0fc

Observation 0dc92fcc-402b-4791-9ad8-bdd98e9892ca · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 38

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source=arxiv_source observed=2026-08-08T13:11:51.725766Z digest=sha256:3975a8d25f0cc98aa3d1fd00c0e60a39e5713ad5ef3b319d4db03fa539ba0c49

Observation 78b94966-d4c8-42f7-95be-366900a8aa7b · outbound

This paper cites Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?

Reference 39

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source=arxiv_source observed=2026-08-08T13:11:51.730776Z digest=sha256:bb037f108791571a7fdefff1c643ada3a7b7af7029461d18754813d0d2c791c2

Observation dac55e59-1810-43c3-98b7-e8f604dfe20b · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 40

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source=arxiv_source observed=2026-08-08T13:11:51.735721Z digest=sha256:00ffba567422be095d58fd36b0a5aa39caecf020e868cfa29fa0ed0364ef8c7e

Observation a6250938-a598-415e-b439-6dde92ed2d2a · outbound

This paper cites W., Chowdhery, A., Le, Q., Chi, E., Zhou, D., et al.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction W., Chowdhery, A., Le, Q., Chi, E., Zhou, D., et al

Reference 41

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source=arxiv_source observed=2026-08-08T13:11:51.741413Z digest=sha256:79f2eee7f55d14938de407695f39abd03e1573457a06a8c59f8214349f291c8d

Observation 491f813a-32d6-4cd9-9f8c-c7d40275fa89 · outbound

This paper cites OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

Reference 42

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no resolver link, observed 2026-08-08T13:11:51.746249Z

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source=arxiv_source observed=2026-08-08T13:11:51.746249Z digest=sha256:b258e8fb1d12e35f31d0ce060642c9f7a0b844af70e4c547f0a9e6afaa76b14f

Observation 0938e083-5e2e-4260-a679-60c909c4bb0b · outbound

This paper cites Leti: Learning to generate from textual interactions.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Leti: Learning to generate from textual interactions

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-08T13:11:52.379346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.752270Z digest=sha256:823c739958ea59e190c449178520762a67209668d4ff957aea99b5c65b2ab5f3

Observation 5d7f4e49-7dee-4cc6-8d70-1814cf8208cf · outbound

This paper cites and Chiew, V.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction and Chiew, V

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-08T13:11:52.364014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.757063Z digest=sha256:30848967ecc56dcee2820763d1e493862d3cdaf7763d9198c641b9571e0bae01

Observation b48dfc7e-0f79-42c0-9691-972fa1e8bf7e · outbound

This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Reference 45

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no resolver link, observed 2026-08-08T13:11:51.762131Z

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source=arxiv_source observed=2026-08-08T13:11:51.762131Z digest=sha256:0e10d1c6d77221a37f0861333d5dff0ff11f56416b02479d13f6dbafc1de3555

Observation 2d42c829-c4b4-42f6-891e-3213d9c493c7 · outbound

This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

Reference 46

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no resolver link, observed 2026-08-08T13:11:51.767100Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.767100Z digest=sha256:c683b50c53b8bcccecb374be06b05adb4fef5304af914c1871ce7da1b4fea232

Observation a1b535f4-07aa-48ce-9e38-02fe55959f96 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 47

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no resolver link, observed 2026-08-08T13:11:51.771723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.771723Z digest=sha256:fe852b359ab3fc27df02ae51de7b5bfd9c0e416ba96eec61cc3f150958e1996e

Observation 01e6b44e-95be-43f2-ac5f-bd2193228237 · outbound

This paper cites InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Reference 48

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no resolver link, observed 2026-08-08T13:11:51.776533Z

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source=arxiv_source observed=2026-08-08T13:11:51.776533Z digest=sha256:dc5bb82000f42c9bc60abb81435ae94521c277d259beee963caaf8860933f891

Observation 7c50b1f8-c83c-488c-8337-8cce5fa73b9d · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 49

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no resolver link, observed 2026-08-08T13:11:51.781026Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.781026Z digest=sha256:878ce236e2331ece7116b5417c0998ab676d51f4065598e2835285cbcf3f59ca

Observation f37a60ce-af3d-4dc3-b3d7-07bfa999b013 · outbound

This paper cites MAmmoTH2: Scaling Instructions from the Web.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction MAmmoTH2: Scaling Instructions from the Web

Reference 50

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no resolver link, observed 2026-08-08T13:11:51.786167Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T13:11:51.786167Z digest=sha256:5ce297eae09a74db4d7fc85e1748eb6084684a00548baf7d0bd4c28300ae4be0

Observation 11514f86-26f8-4a0d-b90a-7de778c18663 · outbound

This paper cites Learning to Execute.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Learning to Execute

Reference 51

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source=arxiv_source observed=2026-08-08T13:11:51.791119Z digest=sha256:416fe66ee743739e81ee3ff03f54bef2ad16fddfccfcefcb594fd45b3db61a8d

Observation 036da6ca-a761-4311-8c99-e52e272871e7 · outbound

This paper cites Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On

Reference 52

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verified exact
local_arxiv, observed 2026-08-08T13:11:51.864321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:11:51.796110Z digest=sha256:d5a3d7164def298b61b02892eb8a22f04559de74c698c11713bf2de5bce0f1bb

Observation 577d4858-0870-41af-b61f-0a20cb633801 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 53

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no resolver link, observed 2026-08-08T13:11:51.801038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:51.801038Z digest=sha256:024325e8d8751a350a0163ca299917da84f8d7c6343006ed5b00f2ec2362615b

Pith citing papers

Observation 14a1550f-da7e-4db8-9338-afef52d85c5c · inbound

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering cites this paper.

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 26

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no resolver link, observed 2026-08-07T15:01:49.182311Z

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source=pdf_text observed=2026-08-07T15:01:49.182311Z digest=sha256:5266efcd093f3afc1e5d72dae803b85c319238a63bb433aba385c6d80db02d0f

Observation f88be193-9df4-4c0c-b584-391fcf0387e2 · inbound

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions cites this paper.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 21

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no resolver link, observed 2026-08-07T14:07:48.082496Z

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source=pdf_text observed=2026-08-07T14:07:48.082496Z digest=sha256:5b97db7c40774421b163c36b3f2cfffdb899cc7c51389a48147be68a8a609008

Observation 705bca43-4958-4332-8364-62c8169b340e · inbound

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code cites this paper.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 27

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no resolver link, observed 2026-08-06T18:43:58.301904Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:43:58.301904Z digest=sha256:90508842962f9c75a9b06ecd5777e1fe68be25c9a95f967f7388e129fec8a566

Observation c368a4e0-0e10-4287-af15-2a3acd3ddee6 · inbound

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 41

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no resolver link, observed 2026-08-06T15:20:13.911084Z

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source=arxiv_source observed=2026-08-06T15:20:13.911084Z digest=sha256:a56ff531ba6b0248c9f164f83ad80babeca8ec23229fd1b071283f49257fd65e

Observation cb74220e-5e19-41e4-bb9e-7f44da07627e · inbound

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning cites this paper.

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 24

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no resolver link, observed 2026-08-06T14:50:27.934893Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:50:27.934893Z digest=sha256:a066f6da1f562c27c9898a381e4fd76f9b0eae604c255b19f72344e515687057

Observation 4d0d153b-c670-4065-85c6-183d48962969 · inbound

Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models cites this paper.

Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 16

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no resolver link, observed 2026-08-05T14:23:24.911042Z

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source=arxiv_source observed=2026-08-05T14:23:24.911042Z digest=sha256:c621b95ea9c9e124ea04c23b6d679ace4393894e8190d7082d605390e077460d

Observation e38f38fb-fe75-44db-a409-71f027bccd38 · inbound

Dream-Coder 7B: An Open Diffusion Language Model for Code cites this paper.

Dream-Coder 7B: An Open Diffusion Language Model for Code CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 33

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no resolver link, observed 2026-08-05T12:56:35.107531Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:56:35.107531Z digest=sha256:64a28e6e224d51266b60569e859a03db98e6e24c0abd29c1c79c5dd0a735fc82

Observation 03c8f9e5-1a42-40d5-b2da-16e5218e12b3 · inbound

Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL cites this paper.

Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 21

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no resolver link, observed 2026-08-05T04:42:06.261278Z

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source=pdf_text observed=2026-08-05T04:42:06.261278Z digest=sha256:297be9d064e31bfe207ee97870c7b9aab79d971f28161f535d962dcfb749d13f

Observation a9c46e46-45f3-4d39-ac17-ca31beb8c4a1 · inbound

Generating Verifiable Chain of Thoughts from Exection-Traces cites this paper.

Generating Verifiable Chain of Thoughts from Exection-Traces CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 14

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verified exact
arxiv_id, observed 2026-05-17T05:19:04.878943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T05:17:10.692544Z digest=sha256:8f735861f316ec25b5d9f1bca73ccd62eef30fb68549aa713fc48c21ebc3d198

Observation 2e28df12-16bd-41bf-b357-ab7419e92066 · inbound

Can Large Language Models Generalize Procedures Across Representations? cites this paper.

Can Large Language Models Generalize Procedures Across Representations? CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 38

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no resolver link, observed 2026-08-03T05:00:57.646398Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:00:57.646398Z digest=sha256:5a2f9f76b3b343849d28d3acaf08e0b8876ffcc566a4f9f9e363a151857ec90e

Observation e42f2a57-3f07-4347-bf07-174a6e9d72d9 · inbound

Think Anywhere in Code Generation cites this paper.

Think Anywhere in Code Generation CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 14

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verified exact
arxiv_id, observed 2026-05-13T23:18:25.619639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T23:16:42.782431Z digest=sha256:13cd52816eb0acd1b27001b725b7f4dac4154f52cf03ee9a02141fc21ee1a59f

Observation 66007337-dc16-4392-b1a4-79c0910806b9 · inbound

CodePivot: Bootstrapping Multilingual Transpilation in LLMs via Reinforcement Learning without Parallel Corpora cites this paper.

CodePivot: Bootstrapping Multilingual Transpilation in LLMs via Reinforcement Learning without Parallel Corpora CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 29

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verified exact
arxiv_id, observed 2026-05-10T10:29:25.231320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T04:59:44.880102Z digest=sha256:86ac4cb6d88eaa371e3de9b78d53e31f1dbf01ae411671883ec8a3a65c25bb1f

Observation 9d529372-f101-4771-85d6-8251e06a74f8 · inbound

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning cites this paper.

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 4

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metadata mismatch
arxiv_id, observed 2026-05-13T05:32:20.319387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T05:27:37.521421Z digest=sha256:5d1a91f963d8c67be8dc2348ecd613fb4956c9d2de69161fd68058211f556dfc

Observation b245c77b-8e60-413d-a0d3-f825ed05ac52 · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 31

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arxiv_id, observed 2026-05-13T05:07:18.490237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T05:00:31.452781Z digest=sha256:60c0071d6f6deff570f30f364caa6014894f8c56924d7f5155f8c5a60e2ea312

Observation de7ee5ea-2617-4363-a087-2096e1484969 · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 31

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verified exact
arxiv_id, observed 2026-05-15T05:19:45.799516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T05:19:05.368681Z digest=sha256:ca98ed871c6eb5aa568957f949bb2f6e408acdcb9b629a06dc747c97b347de86

Observation 2c2a9534-9b32-45c5-99c5-9d0c0fa04121 · inbound

Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning cites this paper.

Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 22

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verified exact
arxiv_id, observed 2026-05-20T13:18:18.470303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T13:13:51.081597Z digest=sha256:4078d6f6da18f214e807fd307cf2d389a785f2baa7f239e184ee34831dba992f

Observation 09d35a47-8a9d-4cb5-a10c-6d68d78d61bc · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 136

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verified exact
arxiv_id, observed 2026-07-03T05:57:41.246625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:59b4c00c0924bc9cc6019174b46788514aefa39798cfe89dea8e0214ff7b78c6

Observation 3232ae91-1a3d-4195-85ed-81a9e0a1ac95 · inbound

Rethinking Burst Buffer Optimization: Enabling Layout Heterogeneity via Hybrid Analysis and LLM Guidance cites this paper.

Rethinking Burst Buffer Optimization: Enabling Layout Heterogeneity via Hybrid Analysis and LLM Guidance CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

Reference 30

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verified exact
arxiv_id, observed 2026-07-04T08:19:43.921705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T11:56:30.345428Z digest=sha256:94212f00924e7fa522b2991a2a0eaae4cf6d65ccf42db0bba6412b09662ff6d1