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Paper Citation Record · LEDGER

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2502.01100.

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

pith.paper-citation-record.v1
2502.01100 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:26:28.861283Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:30:01.604649Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dc506c94-06cc-4389-8fe7-c0f6d25fa85b · inbound

Qwen3 Technical Report cites this paper.

Qwen3 Technical Report ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 25

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arxiv_id, observed 2026-05-09T06:35:28.564170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:2c2fabf23e9636a595e15f318ea263ad3e9031e004f15e973d8fefd3f131186c

Observation 00c3bd1a-c9f2-4983-9911-f4b4947d08cd · inbound

AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning cites this paper.

AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 24

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arxiv_id, observed 2026-05-15T14:24:22.051843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T14:24:21.930934Z digest=sha256:1d90e938b84515dd1fe83734a3b814ba77c46bf5efc199898f139aebcbcd3ab4

Observation 16742d04-cdeb-40b6-a297-36ef8ac30758 · inbound

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

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 17

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arxiv_id, observed 2026-05-12T09:28:16.403060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T09:28:16.189617Z digest=sha256:e0e8d4534e7613f31555c287794ac3bfc03529d0f29d29c74518e76f04b3a704

Observation b506f12c-77cb-4296-a311-36c8da7e5cfb · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 47

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arxiv_id, observed 2026-05-10T17:49:28.172386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:49:27.926646Z digest=sha256:71d5dbbae99a6026349f609703c38a23ece34075599eb7559f8a44d85d8d0216

Observation fe838800-329f-4278-95cf-3fcfd1e7784c · inbound

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling cites this paper.

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 24

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arxiv_id, observed 2026-05-21T22:34:23.971855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T22:33:09.674822Z digest=sha256:f87ee39ee42b7733fb122face33465bde762cceae80084ae545f22deb404667e

Observation 7555d3b4-507f-4833-aa9b-f9b872122a48 · inbound

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications cites this paper.

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 35

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no resolver link, observed 2026-08-05T17:26:28.861283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:26:28.861283Z digest=sha256:2bcf33bb6bf4b3c24a957dd2874ed6756cfae6abadcbdf0aa1cedf5550a815e5

Observation f56fb2ca-c03e-4f25-9f31-00d769556327 · inbound

Investigating Advanced Reasoning of Large Language Models via Black-Box Environment Interaction cites this paper.

Investigating Advanced Reasoning of Large Language Models via Black-Box Environment Interaction ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-18T21:36:51.933331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T21:35:59.043898Z digest=sha256:15b546ac62a039bdbfd1692a7cbf211f8a094dac554c2bfc4d492cd5f6c920c3

Observation 45e2190a-1617-4608-9c38-ee4eadfe2afe · inbound

Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size? cites this paper.

Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size? ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 23

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no resolver link, observed 2026-08-05T11:47:20.035612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:47:20.035612Z digest=sha256:942c32531ef37f84937db9826b714892a0fd004cede33660af384f9a51e0dfdb

Observation 29969c6a-139c-4e09-a049-55ed9bb828c8 · 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 ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 24

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no resolver link, observed 2026-08-05T04:42:06.276239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:42:06.276239Z digest=sha256:9bc08619c8a88588131b13b2a170a68d634ebe854c2d30d436defc7c4f5aacf4

Observation cfdf86bc-2a68-4487-ac7f-fb7db5e14421 · inbound

Qwen3-Omni Technical Report cites this paper.

Qwen3-Omni Technical Report ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 17

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arxiv_id, observed 2026-05-11T00:20:37.831065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T00:20:37.406351Z digest=sha256:a119cba54ca1a23059d77d08a2183eaf0617ab18aa179275441cb94ad1bc2c16

Observation 51e388bf-3621-4467-b3d9-70da87fa89b4 · inbound

Estimating the Empowerment of Language Model Agents cites this paper.

Estimating the Empowerment of Language Model Agents ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 23

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unresolved
no resolver link, observed 2026-08-04T14:53:16.962827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:53:16.962827Z digest=sha256:86fe7b986b09e7bd6ed57067f8756e82a9161b275cb6a1bc233b52e7bc8bc1a6

Observation 46bed2ee-9e03-4c97-b0cb-b55b9dadf9c4 · inbound

Soft Adaptive Policy Optimization cites this paper.

Soft Adaptive Policy Optimization ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 6

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arxiv_id, observed 2026-05-15T07:14:32.869131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T07:14:32.815641Z digest=sha256:f2a941366c4c6e63947bf2f2f2ef6d460ad25d62fe6de396d09e983bf3a67b0a

Observation 58b14f13-3769-46f3-977f-02472a26027e · inbound

The Format Tax cites this paper.

The Format Tax ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 8

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no resolver link, observed 2026-07-13T12:48:03.396039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T12:48:03.396039Z digest=sha256:b8369b4c99d4aa2d2817030c205f0e0f1f8816d11fff1a647f5d56e1f1f8ee93

Observation 0fc03970-34a2-430d-9b45-e42b0253cc76 · 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 ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 12

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arxiv_id, observed 2026-05-11T07:11:01.555102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:16:29.695213Z digest=sha256:9f911d567bbbb002f366142cc2f53c1ff91b1c230df555816a489279ca158d07

Observation b8d7f44a-eddc-4270-a920-d83b60b68027 · inbound

GroupDPO: Memory efficient Group-wise Direct Preference Optimization cites this paper.

GroupDPO: Memory efficient Group-wise Direct Preference Optimization ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 20

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verified exact
arxiv_id, observed 2026-05-10T09:43:48.704714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T09:43:18.432084Z digest=sha256:02d626d291a55e3faedb9238ebf208381b3da43b15dc562d68910cd58b9feb6d

Observation 2b5c0ec3-fe0c-4ae1-9d75-7af1606d9d56 · inbound

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 25

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verified exact
arxiv_id, observed 2026-05-10T05:56:11.325941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T05:52:28.822723Z digest=sha256:284b77216e920ef4f3640bc6eb55ee44aac8233c6f383e23661415727c083805

Observation 9998c1be-9a72-4b5b-8b7e-e07ae61b078e · inbound

Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains cites this paper.

Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 2

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arxiv_id, observed 2026-05-10T00:14:46.684750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T00:12:16.581972Z digest=sha256:4b3f2d34a042fbb1353f2e95b2303e15ffedb349ff155a5daf10b74f4ab5c0a9

Observation 9940588e-535f-4cc8-8aa6-316859953f91 · inbound

HyperLens: Quantifying Cognitive Effort in LLMs with Fine-grained Confidence Trajectory cites this paper.

HyperLens: Quantifying Cognitive Effort in LLMs with Fine-grained Confidence Trajectory ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 52

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arxiv_id, observed 2026-05-11T19:36:09.666429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T11:38:49.630171Z digest=sha256:7c3df171ffe149ad0d6c9c9e2c6e8d5587410fb229673fefc2cc54125e6e8141

Observation 1dd36255-27a4-4f64-8660-3cedf79632f6 · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 80

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verified exact
arxiv_id, observed 2026-05-11T03:40:53.495548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T03:40:04.692279Z digest=sha256:5a621e7053a9ec0a3e87f838ed8a0f0c621f2cc115cf0d32a61c06916d920c86

Observation 6e7477b4-022d-4733-a25e-290750169ede · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 80

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verified exact
arxiv_id, observed 2026-05-21T08:19:52.885776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T08:14:55.858466Z digest=sha256:97bb60c7941152338528cee67975ad3c2c5acf6c57abf2f0e9c05b76b9b1a50f

Observation 85ba0fa4-21de-4f20-9e04-e10063649e24 · inbound

MathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs cites this paper.

MathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 40

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arxiv_id, observed 2026-05-12T02:01:14.991074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T02:01:04.619417Z digest=sha256:bf557ea720d8c358a68f3fc15037440bc3f1a0a18c9621de479c0f98c7dfd6e9

Observation bd0c5757-878d-44da-a928-3fe485e5b560 · inbound

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs cites this paper.

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 13

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arxiv_id, observed 2026-05-12T02:46:18.842827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T02:44:33.143247Z digest=sha256:51e0e7e870ef29e27274ecb0f9ba5b513e7e0b045cfbd65318911f1e15527d34

Observation 87d85edb-bfbe-4555-92ae-924f7189c71d · inbound

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination cites this paper.

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 22

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arxiv_id, observed 2026-05-19T18:02:42.348193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-19T18:01:06.649723Z digest=sha256:df9caa62d104a6b5fbbb5dc629398c1f55a03ceca28bb823fe57eb9bd2746bbc

Observation e38bfd7f-9f8e-460c-a5a2-f59fc1bf8212 · inbound

LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening cites this paper.

LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 5

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arxiv_id, observed 2026-05-20T05:48:04.283244Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T05:47:55.637898Z digest=sha256:aad34b9261fec8fbc65dd28b6020b5c32f876431244238e6c451dfb844265cd8

Observation ed522808-29fc-4509-9c87-1ce094e1c85b · inbound

CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning cites this paper.

CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 15

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arxiv_id, observed 2026-06-29T11:53:23.843244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T11:48:18.855264Z digest=sha256:719877ede02900505f9e489612a9dc518676ec91bf312bf15ba48770e6324956

Observation df6a1f46-96f6-4128-9a52-1a7f4c46de57 · inbound

CA-BED: Conversation-Aware Bayesian Experimental Design cites this paper.

CA-BED: Conversation-Aware Bayesian Experimental Design ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 17

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arxiv_id, observed 2026-07-01T21:26:14.632534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T17:03:01.806138Z digest=sha256:e5e300e2c7bf5604a74087f8bc0147b365b9b632526f868a20e5eabb57f1b001

Observation 07e1fba3-c6e4-437e-9904-31111a72d9dd · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 6

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arxiv_id, observed 2026-07-02T20:57:23.872587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:10ab8a3246941892305988ecd15b99f8bcd87a080a2667560e83b4875f8a5617

Observation 809e8657-9acb-4e1d-91a6-116639170ca7 · inbound

Continual LLM Upcycling: A Predictor-Gated Bank-Wise Sparsity Training Recipe for Dense-to-Sparse LLMs cites this paper.

Continual LLM Upcycling: A Predictor-Gated Bank-Wise Sparsity Training Recipe for Dense-to-Sparse LLMs ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 22

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arxiv_id, observed 2026-07-03T05:47:41.893244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T13:04:05.807414Z digest=sha256:90e9348e0166e6a0175015cc23ec378b3c5ec3d54997ca92b943043c288d8030

Observation 7a99b32d-c596-40ef-ba5d-da3d86673af3 · 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 ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 146

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verified exact
arxiv_id, observed 2026-07-03T05:57:41.647677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:f0a64edc8c207857a477939d50d9026531028db455836a2e8ea91934e0c1f53a

Observation ea370ea5-625a-484e-84c7-1235846176af · inbound

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR cites this paper.

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 32

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arxiv_id, observed 2026-07-04T18:30:01.606119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-25T22:47:09.330723Z digest=sha256:7a19eef369fa9311a587adad483350bbf89a50bbf90b2b6e85e6a28d557ce940

Observation 2da49ecf-37a6-460f-bca8-045dc6a0868f · inbound

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR cites this paper.

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 32

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arxiv_id, observed 2026-06-30T12:54:40.466364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T09:55:19.804589Z digest=sha256:349b5bcfc66991e1508204adce309f5e814879b7277da1739c210502b68b128b

Observation 15d5d1b2-0339-4a4e-b693-2e59d32cd680 · inbound

NebulaExp-8B: An Empirical Post-Training Pipeline via Full-Scale Ablation Research cites this paper.

NebulaExp-8B: An Empirical Post-Training Pipeline via Full-Scale Ablation Research ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 15

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arxiv_id, observed 2026-07-04T13:39:51.132305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T05:00:23.510590Z digest=sha256:31be5426c583459fe0a717563f90893c85221e4d1f618879d04d7740a50b00c8

Observation 54c656c9-f609-458d-9dc2-5c95f6ba1637 · inbound

DOPD: Dual On-policy Distillation cites this paper.

DOPD: Dual On-policy Distillation ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-30T05:54:18.636426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T05:51:18.037199Z digest=sha256:b9d1cf20b7ecea8726ec5dd224c441e52d8b5a871c6dcc43d843167b58a20391