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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:5f68c65a0edc1a9ccccbeb768613c49455c82c1efc80f599d16be5cb902b57e9

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:32.794764Z digest=sha256:4f3d09f37a247e5f2b4084a4364f99dea3b94f18800b981804fea1853c88ea0b

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

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

source=pdf_text observed=2026-08-07T14:14:33.709916Z digest=sha256:c4313047db2d601c00d396a62818eccf232e94dc1bdc0b94d5763ace0f83b70b

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=sha256:4ff23fc26f1b876d6460ec03483eafc13abaebcbed0ec8823a1afedba70d1493

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:32.977210Z digest=sha256:c7ce36345b11bb6e3686d9cbf9193b336ce1cbd262dd75facb3b0f777b621946

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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no resolver link, observed 2026-08-07T14:14:33.391350Z

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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=sha256:1129bcd483bd3da68791c034a0987c62924f323a2ae3a5feefc514c498d62861

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:33.510468Z digest=sha256:bac8bfa7aa029ba0f4884ea9fbacb89a5133522c71c99dd15bdad6edf7351ec3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:33.594648Z digest=sha256:f2c68d0b36c351e2fdadc8bdd2cac5e25d64ce4c2faf495cfa25d1a32213c7a8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:33.643455Z digest=sha256:62f805379f92da06b8da2105e627a15a8c455b86df38ff83fac4ac365d31e364

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:33.830591Z digest=sha256:c5230a9843a77296778bf9ed8a21b36f89dd6f32ced97c690d1a88e2c8c21011

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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no resolver link, observed 2026-08-07T14:14:32.465768Z

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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=sha256:404bb9098d603eeb7e8f2dd4c6b419151da6e2ca614e7e259cdac64f811f843a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:33.771699Z digest=sha256:f5c19930b97f63cea7be3f373c8c242368c23e600c64fbaf690050674addbd2f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:32.860113Z digest=sha256:2a76b7ff7adeda202c5fb798e03c251a761f5a0b8c00ee1351cadb4b0fa06010

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T09:28:16.189617Z digest=sha256:5996506143c2c309a000551047a0fa77c9750bcf1a6dfc99503177d6f3e6a968

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=sha256:1d2f6808c07c492e33acb10cf3e1d30d5aed4f1b50b22c36c2b7268811462995

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

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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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:23.797404Z digest=sha256:81562b6b720406f73af0f5b60e16b434ed971801594feeed465eadd033334b68

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:16:29.695213Z digest=sha256:3705a5480065148972d9b1b19973a549689d848bce21e0a4bb76aa3f39f5ca54

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T05:23:08.478393Z digest=sha256:50e78cb91c5f63f460f86adda24f66537453ee5ab91c57383cfb1575fe28709f

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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verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T09:35:47.501360Z digest=sha256:a9aa19cbbadf4b0b6105c78c7c683dbb0f4e5b5e5a65606d16910c86b3e61e9b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T03:16:59.195706Z digest=sha256:4bd3253ec880a7c77d77d1ac4df32fb9006c999b8243783766d40cbb3b71306e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T22:36:13.781114Z digest=sha256:f8260df2ab94e24e85c2615d8b84d91c61216ec78928d31d0c474d1e2e076a95

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T20:52:18.567742Z digest=sha256:91c715668bc6c35428f38c761cc47dfe1414928166d5ced49146e569250c520d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T11:51:01.769882Z digest=sha256:b918a6015bba3ebe0b968b0c1b6a6f13285027a9fbeaf2d9f81a8082cf783720

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T14:55:07.045625Z digest=sha256:8f56aad0f815429d64c944231de2028f15c47341afc793a0cbd639c93549d35c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T01:01:33.530167Z digest=sha256:52484ebf6bee30ea8bcaa2fdabc5429a953e1dd16c0c73731cfa3c517ccb6877

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T22:10:59.568675Z digest=sha256:a13d6223e44ff9df932b5885247706fc812eaa247a7599f0ac17633db64d3273

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T06:59:19.857066Z digest=sha256:1b66e3cdcab209c11d1847985ebda9dd4383a4b214bb2ed1118342959bb284b2

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=sha256:1aba298f5a82e5c924759b64c2a51b2b4dde14d3fd97233a89607699f9ee733c

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=sha256:799c1ddcc8d97d33f7960b98c0ec730c12315c6136b22f7611b7e2e24ab66af8