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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-20T06:33:59.587034+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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:32.566227Z digest=sha256:4903fa69373e62bcae35c2d2140076fc6d2d8ce993914a4ea0d7f6524b9987d8

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=sha256:97ac92e042c0a389039df4a9ad8b52960f58f75b3434471c5c7fe71b45fe0d76

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:faf6fbaa599180d97204fbed3d77293dff1b94cc9089cdadf3effc59355814ff

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:14:32.794764Z digest=sha256:b61280b616022224fac209ac03ad8a0eb92ea24c52cd2f033e789d09b6b3f350

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:14:33.709916Z digest=sha256:3760a82944f9cddca1d7fe5396ee35538413123fb0bc1e22280cf01326ee799b

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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source=pdf_text observed=2026-08-07T14:14:32.903807Z digest=sha256:0a6f7f182d6d662002425f9700439b48d05334080e697707510038aafe9301ae

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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raw_fallback, observed 2026-08-07T14:14:35.410032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:14:32.977210Z digest=sha256:5c333b098817fb330e8f1e984e527c84763fb045d096107fb61a59da965a7ef8

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:bc183bb161cb48c02df3dc0eb6928f2af94336a1c637fe9b2e88a603809cbbe6

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:d79bab11e5180b81ef1da131423959dbf200bb25c3f1accf065513460b72cb53

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:cd5f1a90fc65ed9ebee8551b556138aed765e29212fdb5595f0677ab4b49eae8

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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source=pdf_text observed=2026-08-07T14:14:33.391350Z digest=sha256:1b64cb86a0a67f0c65dc137ffc129d7504cbcef59579698a57d1076cf195b9b4

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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source=pdf_text observed=2026-08-07T14:14:33.446139Z digest=sha256:3e20704c21eb970dc2b1a810db26d40d1c799af6daa8efb5fccdcd9096a75ada

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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verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:14:33.510468Z digest=sha256:1507eb645a0e3ad77f7b6a58ed8dca392a90a608f3e2bdd776500a2bd09433bc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:14:33.594648Z digest=sha256:f8d4f66eba66cb1e69eeb85d053be3d4553980b041b9acc0e391009f7f78be67

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:14:33.643455Z digest=sha256:13b19fe49cccc25f1a0efff83e6b51fd64d17aa130b8c85f657ab87f05786673

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:14:33.830591Z digest=sha256:fbaa5dbe8f0a320983809f3c2ace48751ba964e44881376ffaa4b9425e8a48a1

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:b7fc10cc2d5402e818dd23937ddfcacdb5f8dd5842617347416ab78cd3ee186c

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=sha256:607636f718c5e3a11aaea12ae8314ddc1bac913319cdc4dfc2dced9aed63d499

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:a868e8160d1318d859185b7fb50f01cb87a227b5dce0f9406423fadf0631be9a

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:14:33.771699Z digest=sha256:0bc31fcfb0bdf51439a59050b1433b5a1b0fdf908c6625c28a56e279c8e78209

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:14:32.860113Z digest=sha256:5fea2787aba28534b2134c11913d1486bdf0e55b1cd33824bbe111a19dc354eb

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:d52f40477bc02706e044081c3653a07f85d9e0f87d211ac753c67d57d564e44c

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=sha256:82d69bea2cff600f5f1c8f63399fe90b161b0679377cf25ef482f6a2a084fb84

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T09:28:16.189617Z digest=sha256:591a28222d19f03418fe53ab2f99d83ec55beb8fe594fa90d791cc8cb4e3d00f

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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no resolver link, observed 2026-08-05T18:08:41.319741Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:08:41.319741Z digest=sha256:226d98c45d9aea0a1a2e2b1ae6a590148b550dc6dc646c8928c2dd08d4b6a1b0

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:d0a1145e82345673bad4b444a123343038f84d7c63d4aac0e2459b30270e9631

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=sha256:258f5b82ae2a4a7784dff342ed3faa4feff1ecd3453c29a972efe2dc396ab80a

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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source=arxiv_source observed=2026-08-03T08:15:23.797404Z digest=sha256:e80c2da73814d5e56185fb4c4637e9f6134af1e45f9fcd13aade61d404691a53

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T17:16:29.695213Z digest=sha256:bd42779361b6adbc1643e5ba83137c1a15bd8e09b373764e5a94a8e60404d880

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T05:23:08.478393Z digest=sha256:aaadb9414f9f8a3b6a8452b000a329f528cb1d2e7e0f725525c549fe58513111

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-08T09:35:47.501360Z digest=sha256:e9ef289eb4f60f97854087f6c7976c7fc870b74a657d1aebcf91ad6a5d95026c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T03:16:59.195706Z digest=sha256:56c6861cd29639e9c76cb8c4a99f4a76a4dbbfd1d58f06a5c976a023e70bbc26

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-20T22:36:13.781114Z digest=sha256:1ed58fb0bb4048eec98b0329a401eb2ab40a32d3a65a66402256a95421b36308

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:561913a61d00535166cf2dc7fed7fbbef5bf3b05c431c59c9cb0cbcd1e4eb3fd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T11:51:01.769882Z digest=sha256:400ce600a4fdbe06c56cd9850ecc96e1c25d9e27f9a09bddca35a955c993f093

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=sha256:134b6fbe9e0563781de2e4630ccdf6497d52d74b7829497b7f1729c7960e243b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T14:55:07.045625Z digest=sha256:40a257720dc939cb069f88e5d004213c5a200e234b80953e07f8863adf3d6232

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T01:01:33.530167Z digest=sha256:ce1e06e94b1329ff6a0333e9618a013ba30885beb9e5f416606a938976f144ca

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-02T22:10:59.568675Z digest=sha256:ffac4230febeeb48e85626a3e17e0b4ff648a02174153339d8eef224bfe8dddd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T06:59:19.857066Z digest=sha256:516f1aa35dfbb2c6138021bcf121e29d5645493228404db5879f0f8d3bbe12ef

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:f947beb49d41ead231812b749cdb94e70e896252a34010495f0a104b0ff562e3

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=sha256:3aa3be66df39c8b2e8335fa4b10c7d8f5052a81f68b6d4a2d0fc9a38e66dd5d4