Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T16:38:53.153716Z
Paper Citation Record · LEDGER
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 42 inbound Pith citation observations for arXiv:2502.01100.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:11:51.671603Z
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.
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
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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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
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- 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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.