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Paper Citation Record · LEDGER

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 20 inbound Pith citation observations for arXiv:2505.19641.

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

pith.paper-citation-record.v1
2505.19641 v4

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:33.830591Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:51:25.027810Z

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

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation 0bd59566-5bf2-4c77-86b3-9609bdbf16ba · outbound

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

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:32.566227Z digest=sha256:8a6ff6ce14556fe937946c450eb5cd2b8699644111ff6c57fc1633d7cdc52763

Observation 00d3dac8-4935-42d2-92fb-1bc42f4fb624 · outbound

This paper cites OpenAI o1 System Card.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond OpenAI o1 System Card

Reference 5

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source=pdf_text observed=2026-08-07T14:14:32.664320Z digest=sha256:7b3a4588ae64f44ff7926cb4a01c774f4e3314f11a0789f2bf0fc55dfd2aa440

Observation 28e58b02-1e23-4a62-afba-442c3ec3094a · outbound

This paper cites BIG-Bench Extra Hard.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond BIG-Bench Extra Hard

Reference 6

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no resolver link, observed 2026-08-07T14:14:32.717640Z

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source=pdf_text observed=2026-08-07T14:14:32.717640Z digest=sha256:89294ebaab22ceaa6fca6bb5e1c43229d8ade7be137b34853ee91238b991c4d5

Observation 6965fa33-1734-4425-97af-ccc372964547 · outbound

This paper cites Mathador-LM: A dynamic benchmark for mathematical reasoning on large language models.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Mathador-LM: A dynamic benchmark for mathematical reasoning on large language models

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T14:14:35.622503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:14:32.794764Z digest=sha256:bfdb15eb2d9ae2d215aeaa3d0b6dff346b94ab72e45c30147d56d713838a63f7

Observation 12a80f67-2285-4aaf-9d12-7f985e9dd598 · outbound

This paper cites an unresolved cited work.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-07T14:14:34.711672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:14:33.709916Z digest=sha256:547c6b4ee486a5eb5258b89eb662775841957206e394b1ee3b8fdf8893b0c1f8

Observation dcb0c462-10fa-4d92-a410-25a4e834d652 · outbound

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

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:32.903807Z digest=sha256:6e95bbee7aaf7396502bb927e7a60628853b4d94d0ed2775a5a9fc0a58dc91c7

Observation 5ac21bc8-2d12-4ff2-b960-a4d1005bde09 · outbound

This paper cites David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:14:32.977210Z digest=sha256:aa17bb95a4c830a7b3f2d61f86ae67e799cc96770a1e6c8c03f80e31aa4e0ab3

Observation 2c7f5085-f923-456f-9fed-51efac494045 · outbound

This paper cites ByteDance Seed, Yufeng Yuan, Yu Yue, Mingxuan Wang, Xiaochen Zuo, Jiaze Chen, Lin Yan, Wenyuan Xu, Chi Zhang, Xin Liu, et al.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond ByteDance Seed, Yufeng Yuan, Yu Yue, Mingxuan Wang, Xiaochen Zuo, Jiaze Chen, Lin Yan, Wenyuan Xu, Chi Zhang, Xin Liu, et al

Reference 11

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source=pdf_text observed=2026-08-07T14:14:33.051403Z digest=sha256:ee5469b9287ae4720a4265f890450158801c9bd715996898a1d975e4bb9f89b4

Observation 63df8579-6fdc-4811-b7b3-cc33a674ff09 · outbound

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

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 12

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source=pdf_text observed=2026-08-07T14:14:33.139935Z digest=sha256:9cca5f9434f464f7dd1d96bc1db6eedadf32382d8bf53582c0230fc28dd72ea8

Observation fd8d08af-9027-4dc5-a151-ec4e3ddb3efd · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 13

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source=pdf_text observed=2026-08-07T14:14:33.210103Z digest=sha256:4d22a067a730852e9863397b6f8820a45c8890598dfcf62e0fa01dd6d2bbdb89

Observation df8213ea-708b-44fc-8778-90e3ff9b27be · outbound

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

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:33.391350Z digest=sha256:0a6153796cf03b522f4655439367e263af45edf150fbb034fb7414d02dacb59d

Observation c2251a13-dcc0-44dc-9c3a-6c7407023bdd · outbound

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

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond ACECODER: Acing Coder RL via Automated Test-Case Synthesis

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:33.446139Z digest=sha256:58e653a64932048c386366788bb8c268ca069ba207eef3bc9b1ebd7c1cb1f30e

Observation be02489b-910d-4706-a8f3-536dbcae3f17 · outbound

This paper cites Comprehensive Overview ofSynLogic A.1.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Comprehensive Overview ofSynLogic A.1

Reference 17

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raw_fallback, observed 2026-08-07T14:14:35.212391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:14:33.510468Z digest=sha256:79cd9f6dd01533e29ff64cb4d0cca3a8def5a79f6af1a5b464187dc7352dd49d

Observation 39f28cff-27d4-4f99-aa26-36f66648ee3e · outbound

This paper cites Our collection comprises 35 distinct tasks, with only two (Zebra Puzzle (Lin et al.,.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Our collection comprises 35 distinct tasks, with only two (Zebra Puzzle (Lin et al.,

Reference 18

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raw_fallback, observed 2026-08-07T14:14:35.019460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:14:33.594648Z digest=sha256:9277b3b07f8836b87cde9e5cad1d5366e9714df9c3fd246f5bf542fe75898492

Observation 865c388a-a0e9-4802-b978-20fc2d2f649a · outbound

This paper cites For all remaining tasks, we generated custom datasets.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond For all remaining tasks, we generated custom datasets

Reference 19

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raw_fallback, observed 2026-08-07T14:14:34.868282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:14:33.643455Z digest=sha256:40dbb608a107e5556a66a05c1dfe031b6a96e2c8abdfe71b6e427dd1eb237c6a

Observation 1fa48e8e-97a9-46c7-b458-7e8d1604067c · outbound

This paper cites an unresolved cited work.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:14:33.830591Z digest=sha256:edd4a60f3736d0bccb32f8922bc88d3172077c7bcdbf3b0ca05979cdff51fc6b

Observation 3e49e801-6480-489a-b29a-046e0937b02b · outbound

This paper cites On the Measure of Intelligence.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond On the Measure of Intelligence

Reference 2019

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source=pdf_text observed=2026-08-07T14:14:32.465768Z digest=sha256:9bd0c765cdc3ea3ee7d749a739aac4df18f04fbd815b549d9b0a66597e1cd728

Observation dfa078cd-04b0-40fa-8c8a-4d720e9f3348 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 2021

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source=pdf_text observed=2026-08-07T14:14:32.616685Z digest=sha256:1372488722300901f34d44fb2359e058f1565eb856db390da639df78c4f84462

Observation 5f47fcea-3355-4ffe-80ab-e14009f0743b · outbound

This paper cites On Memorization of Large Language Models in Logical Reasoning.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond On Memorization of Large Language Models in Logical Reasoning

Reference 2022

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source=pdf_text observed=2026-08-07T14:14:33.306474Z digest=sha256:618a3aba57bba44895e78779500bb17f1ed5215ccac65ace981227463eb22465

Observation 11f1b267-4abc-4907-8a95-650745e06576 · outbound

This paper cites an unresolved cited work.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Unresolved cited work

Reference 2023

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raw_fallback, observed 2026-08-07T14:14:34.551313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:14:33.771699Z digest=sha256:0bd59a6d49bf4e52dc7f77d4b8dcedba7e92a93fcdb54e1067aefea37eebefb2

Observation a149fc52-a05c-4299-970d-afe10beb4751 · outbound

This paper cites doi: 10.18653/v1/2024.emnlp-main.946.

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond doi: 10.18653/v1/2024.emnlp-main.946

Reference 2024

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doi, observed 2026-08-07T14:14:33.961158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:14:32.860113Z digest=sha256:6a7f312a5ee6f1e86cde398602939b19423528fe4ca1bffe43c0d36dae847d5d

Observation 204590b9-b643-4969-b7a8-536a51c6775c · outbound

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

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

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source=pdf_text observed=2026-08-07T14:14:32.500606Z digest=sha256:c7ff180be41953edc189f2894251c25c52c09ae39e1fd99002ed8976d57ca624

Pith citing papers

Observation df88c1d7-df53-452e-8700-aca5ba475dde · inbound

Propositional Logic for Probing Generalization in Neural Networks cites this paper.

Propositional Logic for Probing Generalization in Neural Networks SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:08:57.015831Z digest=sha256:d65af3b2ba7ee88b828b38342b2711feaa4efa9a6fd5fcc65f832327e0c69b6a

Observation 67260a79-9d62-4e4f-986a-a8294be5bfab · inbound

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention cites this paper.

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 18

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verified exact
arxiv_id, observed 2026-05-12T09:28:16.409868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T09:28:16.189617Z digest=sha256:48327c8f2d67e9f1cc3feedd5a0741601891a6f8110538da50f5a2e0137aa802

Observation 02a35766-af12-45ba-bb43-20ac3394d6f6 · inbound

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data cites this paper.

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:08:41.319741Z digest=sha256:ef3322f2ddb657e50c43c4e9045a5a61dde9fa6115bde7739350ea6030d7c4ea

Observation e75d04a6-b8f8-4f1a-b647-0042b164180d · inbound

Mirage or Method? How Model-Task Alignment Induces Divergent RL Conclusions cites this paper.

Mirage or Method? How Model-Task Alignment Induces Divergent RL Conclusions SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 8

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no resolver link, observed 2026-08-05T14:35:50.883516Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:35:50.883516Z digest=sha256:a545d6781786f1b7c4517a6f53a036da489ef9c16ee2e2db967a1585c506192d

Observation 45de8c5e-0b56-4d37-95c9-833c0f1c7849 · inbound

Beyond the Sampled Token: Preserving Candidate Support in RLVR cites this paper.

Beyond the Sampled Token: Preserving Candidate Support in RLVR SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 27

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no resolver link, observed 2026-08-04T09:34:08.152525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:34:08.152525Z digest=sha256:d50bd56bf9268f706b3eb6a02aff246c2878c09226ce6ea62b7d683ebd7b8031

Observation ae2a1a75-0527-4053-b2ba-816c8528af8a · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 130

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no resolver link, observed 2026-08-03T08:15:23.797404Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:23.797404Z digest=sha256:ed4d40dc986ce7c0388eb4ed599f2e37f30b617e258a3ebae906a36519929a43

Observation 40e1fd62-e695-4334-808b-d1470f22d197 · inbound

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions cites this paper.

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 13

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metadata mismatch
arxiv_id, observed 2026-05-11T07:11:01.580501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:16:29.695213Z digest=sha256:18486fb7f7b78c98c9a36dd289c5d88e518fb63a8b2c40e175274586e3f2c11c

Observation b43661c2-68b5-4dd8-bbe4-4ccdec87bd89 · inbound

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 48

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metadata mismatch
arxiv_id, observed 2026-05-10T05:25:55.264416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T05:23:08.478393Z digest=sha256:283dd324e0bbd6c1cdfa7c5432bab64e6d5d9e9dfdf19c05fe4874fce4397d98

Observation e45bf414-2568-4816-949d-4728ffb5113e · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 81

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arxiv_id, observed 2026-05-11T20:16:11.442341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-08T09:35:47.501360Z digest=sha256:7d5ab97f5779dc8868a89aac793f6c5e5735c11c20dae40ae0617cac829775c9

Observation 5f37bafc-ae00-4959-bd24-6785965bf12a · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 85

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verified exact
arxiv_id, observed 2026-05-12T03:21:19.248526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T03:16:59.195706Z digest=sha256:5dd9eaf51669a84956fb32f7e0a1768d964c7a37d027f4744fc2077b519102ad

Observation afa62865-c185-4ce1-97d0-f9edf9d7d4ab · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 85

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verified exact
arxiv_id, observed 2026-05-20T22:39:10.569023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T22:36:13.781114Z digest=sha256:723b3791cf4e7dd5c16913530c5a9cec525c4b2b014c3981d91c5130fbecd341

Observation 2f7659e9-fed6-4bd1-bb06-96d0ae508a5a · inbound

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance cites this paper.

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T20:53:58.009157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:5b4bb0769ede18c52e100aff11540fa54718059f00809fe2991170eb952a5bf5

Observation 09397fe9-541f-4b71-a434-e42ba757d11a · inbound

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes cites this paper.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:53:23.704451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T11:51:01.769882Z digest=sha256:8b28eceda0ac7d8466fff4f4dfecbf3818846d5ce53f63fcf5091d5efa461563

Observation 171ebb94-e67f-4d62-bdb5-7f6605b5ab8e · inbound

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes cites this paper.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T12:58:10.927245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:58:10.927245Z digest=sha256:5c190ae31d5bcf0e6dd1f0ef767789648496eb17978cfec268f18fb9b14c4a78

Observation 086588be-568d-471e-8666-72e680f470b1 · inbound

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL cites this paper.

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:19.977749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T14:55:07.045625Z digest=sha256:5518c06eadb935f80c2139b0b5adfeab2c0553c166d26e5d85392cf9e5372b3c

Observation c50e16e9-e859-4d2e-9c41-b69c7d3f9640 · inbound

Robots Need More than VLA and World Models cites this paper.

Robots Need More than VLA and World Models SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 165

Resolution
verified exact
arxiv_id, observed 2026-06-28T01:11:28.854308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T01:01:33.530167Z digest=sha256:492cffe18b0f71f1ce65c0f5117a251ddc3d1d959b83eef3569bb62eb0a93fcd

Observation ef966bbf-3c32-48b4-8906-fbb350038b6a · inbound

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:17:25.604382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-02T22:10:59.568675Z digest=sha256:c9897542659608f61300b64583bf7881812796cdfcdc2cd7847af125981b68da

Observation ee7e62c5-39d1-44ff-8441-a929a4233f7c · inbound

SFBench: The SciFy Scientific Feasibility Benchmark cites this paper.

SFBench: The SciFy Scientific Feasibility Benchmark SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:04:21.316873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:59:19.857066Z digest=sha256:e8ddb254e9081459960ee2f844d91b60031d6cc8f26bc80ac87698b6a44f670a

Observation 2f8860d8-de94-47b4-ac83-0f576c4dc1db · inbound

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs cites this paper.

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-08T00:51:25.027810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:51:25.027810Z digest=sha256:1b8db025081c0e5515c138b085f835851fcf9cffef1bfa00439b57eeccfe9637

Observation e803771a-d9e7-423a-8ddb-e59a979f2f64 · inbound

Reasoning Core: Designing Broad Procedural Data for Completion-Supervised Reasoning Training cites this paper.

Reasoning Core: Designing Broad Procedural Data for Completion-Supervised Reasoning Training SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T04:19:48.415270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:19:48.415270Z digest=sha256:b464113a45743197ad9a83fd58bcd16124b43c98b456a21237b4390310b2f6dc