Paper Citation Record · LEDGER

Magistral

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 40 inbound Pith citation observations for arXiv:2506.10910.

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

pith.paper-citation-record.v1
2506.10910 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:26.848892Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:11:01.995426Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy7
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 58df91f7-f6d0-43f2-914c-f803515f43e7 · outbound

This paper cites What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study.

Magistral What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:22.151310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c547a00-d3e3-4bef-9df6-0750e017b308 · outbound

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

Magistral DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:22.289997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5704b324-819e-4fe2-bbb4-d084dc1041c6 · outbound

This paper cites Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures.

Magistral Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:29.137514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67e25e8a-2b82-49b5-921b-5f515a8f23fb · outbound

This paper cites Polyglot Benchmark.

Magistral Polyglot Benchmark

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:28.977000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5003029f-9c06-4414-9506-4461b56d06f7 · outbound

This paper cites OpenThoughts: Data Recipes for Reasoning Models.

Magistral OpenThoughts: Data Recipes for Reasoning Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:22.778940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a4518f-83be-443b-9663-c4830f70049d · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Magistral Measuring Mathematical Problem Solving With the MATH Dataset

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:22.981703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d724e63-8a2b-4c53-9039-7a7c68ed16e7 · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

Magistral OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:23.130127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aaefb17-6335-4a84-9917-cbe598a1b973 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Magistral Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:23.278363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf1b255-9e5c-4119-80eb-1f58bd63ee53 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

Magistral Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:23.479130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48ba2a9f-8a07-4070-8b93-7762621a965a · outbound

This paper cites OpenAI o1 System Card.

Magistral OpenAI o1 System Card

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:23.630431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b17f5c1-93e3-476c-9a23-20a2d86b9f3f · outbound

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

Magistral LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:23.789584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f778baa5-f855-40d6-b5b6-d2f99d9e1d71 · outbound

This paper cites FastText.zip: Compressing text classification models.

Magistral FastText.zip: Compressing text classification models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:23.974974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec18fcf-db8d-4007-8074-085886f07043 · outbound

This paper cites Visualizing the Loss Landscape of Neural Nets.

Magistral Visualizing the Loss Landscape of Neural Nets

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:24.080434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9445add-fb95-4f97-8b48-afd2089ea90f · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Magistral Understanding R1-Zero-Like Training: A Critical Perspective

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:24.249365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 628e55f3-111d-414e-b23d-9926e437097c · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

Magistral Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:24.433838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9cbcabf-32ce-4767-bc51-ebc7e5781d15 · outbound

This paper cites Mistral large 2.

Magistral Mistral large 2

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:28.649078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba51863e-03b3-4038-9708-26edd0658d47 · outbound

This paper cites Mistral medium 3.

Magistral Mistral medium 3

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:28.343947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80499156-04c0-4aec-b60a-9c656f3b4258 · outbound

This paper cites Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models.

Magistral Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:24.817910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24591ab7-adab-4bca-adea-f95306197332 · outbound

This paper cites Codeforces cots.

Magistral Codeforces cots

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:28.009074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4c805a10-7964-4e0b-9367-b218e3a0d53c · outbound

This paper cites Humanity's Last Exam.

Magistral Humanity's Last Exam

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:25.101520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d0f88c-bac0-4a20-ba78-ad10edf48079 · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

Magistral Gpqa: A graduate-level google-proof q&a benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:25.209936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 948f4ce8-b893-48e3-a349-082b1c6adf57 · outbound

This paper cites Iterative methods for sparse linear systems.

Magistral Iterative methods for sparse linear systems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:27.763019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d77bcf82-acb8-45a3-8aff-7a87174bf9c7 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Magistral Proximal Policy Optimization Algorithms

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:25.552219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a9d1a23-b828-4223-af6c-82725fa9ac0b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Magistral DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:25.739088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4314a9-ef00-41f8-afec-0260a50552f4 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Magistral HybridFlow: A Flexible and Efficient RLHF Framework

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:25.902064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e1489a-96a4-46bd-90f8-18784a3d8458 · outbound

This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

Magistral Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:26.065118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62aa2849-4bc7-4bce-953f-b36661f1c2ce · outbound

This paper cites LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training.

Magistral LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:26.241394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df998082-8d39-4586-bd26-e31f6501b6fd · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Magistral DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:26.415218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb421ca-e8f2-4607-8461-078a57556093 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

Magistral Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:26.563646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f2c72e9-0ff2-4342-a537-1c5365d8db3d · outbound

This paper cites Mmmu-pro: A more robust multi-discipline multimodal understanding benchmark.

Magistral Mmmu-pro: A more robust multi-discipline multimodal understanding benchmark

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:27.582378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52cca6b6-2d53-4db9-9b01-09a147b99b98 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Magistral Instruction-Following Evaluation for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:26.848892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 55adf272-4e07-4ef0-975f-904dc0245558 · inbound

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization cites this paper.

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization Magistral

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:42.560228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47fa10e6-114b-4b08-b746-7b13c998cd2c · 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 Magistral

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:04.564942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b779c2bb-1bff-4a9e-b9c9-72297ed03027 · inbound

Flow Matching Policy Gradients cites this paper.

Flow Matching Policy Gradients Magistral

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T13:07:09.588485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7edf36cd-5d18-4ee0-97ca-7ebc8605bc18 · inbound

Confidence-Weighted Token Set Cover for Early Hypothesis Pruning in Self-Consistency cites this paper.

Confidence-Weighted Token Set Cover for Early Hypothesis Pruning in Self-Consistency Magistral

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T01:02:46.136737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45628e2c-bc46-4f8f-9750-044521932656 · inbound

Hermes 4 Technical Report cites this paper.

Hermes 4 Technical Report Magistral

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:54.579019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6555b84-43a2-475f-b906-cd989fed6db3 · inbound

rStar2-Agent: Agentic Reasoning Technical Report cites this paper.

rStar2-Agent: Agentic Reasoning Technical Report Magistral

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.459947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd458219-c9f1-439e-ba58-d2f6ef8fa086 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Magistral

Reference 144

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:38.099803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bfc45b6-5981-4322-8ba9-320755b5e74a · inbound

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts cites this paper.

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts Magistral

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T20:54:21.599958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6298168-ee72-4d00-936c-212358e8e52e · inbound

Are Large Reasoning Models Interruptible? cites this paper.

Are Large Reasoning Models Interruptible? Magistral

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T10:07:52.637167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f14ebbe-2e79-4187-a375-14693ba94948 · inbound

Ministral 3 cites this paper.

Ministral 3 Magistral

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:12:24.787396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44d95e98-01b7-446c-8e6f-a5982282210a · inbound

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models cites this paper.

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models Magistral

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:54:31.109524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66e62282-7e92-4464-b7fd-5efd6a4a2270 · inbound

Simultaneous Speech-to-Speech Translation Without Aligned Data cites this paper.

Simultaneous Speech-to-Speech Translation Without Aligned Data Magistral

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T00:57:01.017891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4e80d6-e4f4-42ed-ba6b-3d5c09ab1a63 · inbound

The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling cites this paper.

The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling Magistral

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T23:14:39.407159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f7f2d9e-b2fd-4310-9f85-63e6be00e0ed · inbound

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis cites this paper.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis Magistral

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:28.015727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c23408e-dc3c-4095-a984-bb2e6ebd51b7 · inbound

A Novel Hierarchical Multi-Agent System for Payments Using LLMs cites this paper.

A Novel Hierarchical Multi-Agent System for Payments Using LLMs Magistral

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T20:05:40.456510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44806c9e-e9ac-4a7b-916d-e5f39cb499c4 · inbound

LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics cites this paper.

LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics Magistral

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T20:05:56.999962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fee22f91-491a-47a8-8cf6-b9927dcdba70 · inbound

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios cites this paper.

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios Magistral

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T17:05:14.494409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a26308b-c52a-449b-b4aa-de02d9f608a0 · inbound

Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints cites this paper.

Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints Magistral

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:15:29.394776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54215b74-247f-4322-b231-219345a6c660 · inbound

Beyond Distribution Sharpening: The Importance of Task Rewards cites this paper.

Beyond Distribution Sharpening: The Importance of Task Rewards Magistral

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:08:27.020410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 034b9bc8-cef4-4c22-ae27-69e9705552b9 · inbound

Characterizing Model-Native Skills cites this paper.

Characterizing Model-Native Skills Magistral

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.473510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe227479-5036-4c4e-9c4a-efa2eac81788 · inbound

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards cites this paper.

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards Magistral

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-10T04:45:21.193991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58c87324-1eda-4b9c-9218-514685fecf62 · inbound

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search cites this paper.

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search Magistral

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:06:05.595526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 68576317-78a5-4df6-8851-12825ea438f8 · inbound

Language as a Latent Variable for Reasoning Optimization cites this paper.

Language as a Latent Variable for Reasoning Optimization Magistral

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:31:06.613349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 163e5329-0c8b-416f-b23e-05fd51ef83ca · inbound

ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction cites this paper.

ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction Magistral

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:11:15.966281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3288c138-cde4-4090-805b-18756e46e300 · inbound

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models cites this paper.

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models Magistral

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:06:06.496149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 79c6f8be-3c78-4651-b24a-d1ed5273043c · inbound

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models cites this paper.

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models Magistral

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:55:31.085847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a26de0a7-cdf0-4b87-9f9f-cda7263cef3d · inbound

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models cites this paper.

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models Magistral

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T05:20:33.269530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba3c1fa-e843-4348-b259-15b6efe9335f · inbound

Self-Supervised On-Policy Distillation for Reasoning Language Models cites this paper.

Self-Supervised On-Policy Distillation for Reasoning Language Models Magistral

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T14:43:21.816674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b6793d2-7bf7-4271-80e8-b6900abc0ea9 · inbound

How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning cites this paper.

How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning Magistral

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-05T10:20:57.186398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b858ce7-4e44-4d77-a08b-8ca5bbb14aa8 · inbound

A Primer in Post-Training Reasoning Data: What We Know About How It Works cites this paper.

A Primer in Post-Training Reasoning Data: What We Know About How It Works Magistral

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:06:20.508069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2212d16-e9e4-4e84-9124-6dc20dae2279 · inbound

The Masked Advantage: Uncovering Local-Language Access to Cultural Knowledge in LLMs cites this paper.

The Masked Advantage: Uncovering Local-Language Access to Cultural Knowledge in LLMs Magistral

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:07:13.147843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 25d944ad-0225-4817-aa40-72d6a6956ee1 · inbound

When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval cites this paper.

When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval Magistral

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:58:47.158738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3658b2d5-21c7-4ed9-b73f-9483efdbd014 · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier Magistral

Reference 133

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:07:47.307984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91a0ab2b-7c07-45aa-9722-061ead9fff09 · inbound

Predictable GRPO: A Closed-Form Model of Training Dynamics cites this paper.

Predictable GRPO: A Closed-Form Model of Training Dynamics Magistral

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T06:45:29.603748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4f07051-995b-4380-ae9c-81404c659281 · inbound

Predictable GRPO: A Closed-Form Model of Training Dynamics cites this paper.

Predictable GRPO: A Closed-Form Model of Training Dynamics Magistral

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:27:21.687480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7dbec6d2-9bca-4ca5-9c09-a0e8a27e7e55 · inbound

Cost of Reasoning in non-English Languages: A Case Study on Japanese cites this paper.

Cost of Reasoning in non-English Languages: A Case Study on Japanese Magistral

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T14:12:44.286699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1941e2df-6267-42b0-98bb-c2f57dc50f90 · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness Magistral

Reference 145

Resolution: unresolved; no resolver link, observed 2026-08-01T08:36:30.534949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9076e27-ef59-4b11-8172-d2e50da442da · inbound

Contrastive ESA: Human Evaluation of Multiple Translations at Once cites this paper.

Contrastive ESA: Human Evaluation of Multiple Translations at Once Magistral

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T11:48:50.895042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb49bd1-9cb4-4867-8d6d-5f47806d1d42 · inbound

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability cites this paper.

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability Magistral

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-04T10:56:20.082102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63f9a6ff-2722-4a98-bdb1-3722d656b668 · inbound

Beyond Full-Model Rollback: AuroSFT for Adapter-State Multi-Task Fine-Tuning cites this paper.

Beyond Full-Model Rollback: AuroSFT for Adapter-State Multi-Task Fine-Tuning Magistral

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T17:11:01.995426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.