Paper Citation Record · LEDGER

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 47 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 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:38:53.153716Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:12:22.769804Z

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

27 of 27 outbound references displayed

verified exact0
verified fuzzy14
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26c1dbd9-342f-4ce9-a719-e869c9bafec1 · outbound

This paper cites an unresolved cited work.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T16:38:53.118674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b772cbe-ddc3-4986-ba6e-285c8ea542de · outbound

This paper cites an unresolved cited work.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T16:38:53.123177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57ef200-9268-406f-92c3-06fd89124ec0 · outbound

This paper cites reasoning.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning reasoning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.481424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b40429fc-af56-4806-8f07-1f62dd7c23cd · outbound

This paper cites an unresolved cited work.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-09T16:38:53.424968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3a62524-938e-488f-9071-d383fdbac573 · outbound

This paper cites an unresolved cited work.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-09T16:38:53.408892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62d41093-cc09-4a54-9c2e-3b7655dafba1 · outbound

This paper cites reasoning.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning reasoning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.393570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce0d0ed2-4128-4537-a79c-a0970579a69a · outbound

This paper cites LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T16:38:53.064778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f94c5ea7-2a75-4b0f-ade2-527698736ea4 · outbound

This paper cites OpenAI o1 System Card.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning OpenAI o1 System Card

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T16:38:53.068978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff28762-2050-44da-be81-e4695af44caf · outbound

This paper cites org/CorpusID:269330143.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:269330143

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.609329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b183e58-4555-429c-b2d9-63ad359e7f06 · outbound

This paper cites org/CorpusID:245219217.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:245219217

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.579239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8fc2bf7a-f19f-4a1c-91dc-4e5e4ad7b9fa · outbound

This paper cites org/CorpusID:273233577.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:273233577

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.564681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad3bcf02-4584-4205-b745-f7acaa993fb1 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T16:38:53.099825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 024f6f3b-0801-4900-8ca6-cf3aee437532 · outbound

This paper cites org/CorpusID:246411621.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:246411621

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.535632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e88a2499-5c1f-4e82-82ba-8932c8579b56 · outbound

This paper cites Do Large Language Models Understand Logic or Just Mimick Context?.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Do Large Language Models Understand Logic or Just Mimick Context?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T16:38:53.109204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10bd76bd-2f6c-42c8-9f89-a83662b5c49d · outbound

This paper cites Bob cannot be in Houses 1, 4, or 5, so he must be in House 3.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Bob cannot be in Houses 1, 4, or 5, so he must be in House 3

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.520017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2821de8-5e40-4420-a795-af32d99c4b48 · outbound

This paper cites an unresolved cited work.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-09T16:38:53.467336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c5e17f0-e23f-4136-8b39-92f63eb3f313 · outbound

This paper cites an unresolved cited work.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-09T16:38:53.452360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec099d6b-d825-4abc-8bf9-64ce025a3b83 · outbound

This paper cites an unresolved cited work.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-09T16:38:53.438938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 692edaeb-1f77-4679-a1b5-c8e0d8e2101a · outbound

This paper cites org/CorpusID:33813226.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:33813226

Reference 1984

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.652257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2246a4f-3768-48d2-abed-c36232900f64 · outbound

This paper cites org/CorpusID:36951414.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:36951414

Reference 1993

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.594272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 656f2903-5fa6-44bc-a2a8-236f8f45312e · outbound

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

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-09T16:38:53.060289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9b47b1-d2fd-47c0-b079-beda7f8e8ad4 · outbound

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

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-09T16:38:53.051105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f945cdf5-5b84-419d-9933-b7de4b9232f1 · outbound

This paper cites org/CorpusID:125304065.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:125304065

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.549987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc71e90a-497f-4fae-a867-daf25a124a3c · outbound

This paper cites org/CorpusID:211126663.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:211126663

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.665751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f33164bf-3771-45df-b8e1-cfb88cc52b4b · outbound

This paper cites org/CorpusID:247951931.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:247951931

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.678731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e7f503f-a5a3-4de1-ba8f-5d6783a0ef93 · outbound

This paper cites org/CorpusID:258967391.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:258967391

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.637963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fdb46d2b-eff9-4dd5-9ba1-c5bde73af9fa · outbound

This paper cites org/CorpusID:273234137.

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning org/CorpusID:273234137

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:38:53.623644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

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

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction cites this paper.

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

Reference 27

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ffe12f5-77da-4841-9861-2079a49ad2f1 · inbound

Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges cites this paper.

Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:22.769804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf94511-93a2-499a-9dc3-7b262485f806 · inbound

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models cites this paper.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.255840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

Observation 4cca57b7-d88f-4151-bac9-e85fb5ba7eff · inbound

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles cites this paper.

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:07.219581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

Observation a0974290-344d-4535-8144-9be15832edb5 · inbound

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning cites this paper.

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:35.746562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0585ec8d-bfb5-4b8b-8c30-03a8a3682e69 · inbound

LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs cites this paper.

LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:45.311682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

Observation fa12163e-30c2-4a18-9253-27e5e5b0b02e · inbound

Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning cites this paper.

Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:33:54.487403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 351480f6-b042-44dc-a133-69877045730e · inbound

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

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:58.771660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb1fb8de-e48b-4175-b802-3def664383a9 · inbound

Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize? cites this paper.

Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize? ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:11.173121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c02e523-1b76-405a-a274-961ce3ec2b8b · inbound

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning cites this paper.

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:04.502280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-18T06:34:40.430872+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: metadata mismatch; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: metadata mismatch; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: metadata mismatch; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:48:04.283244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: metadata mismatch; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: metadata mismatch; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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

Resolution: verified exact; 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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.

Observation cad6590c-cf1c-48fa-a5a2-3e51e0b2dc1d · inbound

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning cites this paper.

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T04:30:41.776241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6159d5fd-f597-4de4-8f06-d6989927b676 · 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 ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T04:19:48.346566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d00b62a-cbf9-4f17-bb51-2e13c658fdf1 · inbound

TRACES: A Benchmark for Epistemic Reliability in Scientific Reasoning by LLMs cites this paper.

TRACES: A Benchmark for Epistemic Reliability in Scientific Reasoning by LLMs ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T14:17:35.483588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26584f7a-e5c5-430d-8e1e-9bb1d93aa0af · inbound

Generation as Auxiliary Supervision: Enhancing Visual Understanding at Zero Inference Overhead via Decoupled Embedding Prediction cites this paper.

Generation as Auxiliary Supervision: Enhancing Visual Understanding at Zero Inference Overhead via Decoupled Embedding Prediction ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T00:17:33.737344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.