BlueLM-2.5-3B Technical Report | Paper Citation Record

Observation 24771b94-ffbb-498c-9e9f-f37556051b9e · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

BlueLM-2.5-3B Technical Report Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation 72d5b5b8-9225-488e-a07f-4b3c9d400b0e · outbound

This paper cites Phi-4 Technical Report.

BlueLM-2.5-3B Technical Report Phi-4 Technical Report

Reference 2

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Observation 036a0fed-1d38-47df-8bfb-82d3487ea114 · outbound

This paper cites Qwen2.5-VL Technical Report.

BlueLM-2.5-3B Technical Report Qwen2.5-VL Technical Report

Reference 3

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Observation b8e74e1e-980e-4261-958d-de3764717807 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

BlueLM-2.5-3B Technical Report PaliGemma: A versatile 3B VLM for transfer

Reference 4

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Observation 7c346b10-9eee-412a-9943-084600a73c8a · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

BlueLM-2.5-3B Technical Report $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 5

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Observation d6a9cae7-b0a5-4a7e-a55c-5426795ff3fa · outbound

This paper cites BlueLM: An Open Multilingual 7B Language Model.

BlueLM-2.5-3B Technical Report BlueLM: An Open Multilingual 7B Language Model

Reference 6

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Observation 42d27059-1f08-42f0-b361-ad962897cb56 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

BlueLM-2.5-3B Technical Report RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 7

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Observation ce4b2ba6-f4bf-49d5-887f-b421f1c18de0 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

BlueLM-2.5-3B Technical Report Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 8

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Observation 6a07155f-7deb-4d82-ae98-2f54f8bfd1e1 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

BlueLM-2.5-3B Technical Report Evaluating Large Language Models Trained on Code

Reference 9

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Observation a1351e85-95b5-46d7-9d75-b9c60333e91f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

BlueLM-2.5-3B Technical Report Training Verifiers to Solve Math Word Problems

Reference 10

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Observation 78dbd724-8cd0-4d77-9554-d462f8f9e6f7 · outbound

This paper cites Open R1: A fully open reproduction of DeepSeek-R1.

BlueLM-2.5-3B Technical Report Open R1: A fully open reproduction of DeepSeek-R1

Reference 11

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Observation 4f7a39e1-0faa-442f-8127-7a24e0b28fea · outbound

This paper cites Helix: A vision-language-action model for generalist humanoid control.

BlueLM-2.5-3B Technical Report Helix: A vision-language-action model for generalist humanoid control

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.939313Z

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Observation ebb32117-c7f4-409f-8b57-5c40dd7b6823 · outbound

This paper cites Athene-70b: Redefining the boundaries of post-training for open models, July 2024.

BlueLM-2.5-3B Technical Report Athene-70b: Redefining the boundaries of post-training for open models, July 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.925440Z

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Observation 9d9c0aba-e65f-47da-8ea3-36348515ec01 · outbound

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

BlueLM-2.5-3B Technical Report AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.909573Z

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Observation dd34594c-19f4-4097-bd7d-1addb2328fcb · outbound

This paper cites The Llama 3 Herd of Models.

BlueLM-2.5-3B Technical Report The Llama 3 Herd of Models

Reference 15

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Observation a8110839-f7e1-4f0c-8d82-2d8909bc8b8a · outbound

This paper cites HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.

BlueLM-2.5-3B Technical Report HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

Reference 16

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Observation 0f92d0e9-feb7-4c31-b770-e3c0e81a34d2 · outbound

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

BlueLM-2.5-3B Technical Report Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 17

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Observation 77ecefcd-d37f-4595-bad6-5bee89887bc1 · outbound

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

BlueLM-2.5-3B Technical Report LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 18

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Observation 9b54b7f8-9df3-4bc9-922d-d99dbeffcb90 · outbound

This paper cites MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs.

BlueLM-2.5-3B Technical Report MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Reference 19

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Observation 1805a659-8b0c-473d-94fb-3299e96dbe0b · outbound

This paper cites Experiment with gemini 2.0 flash native image generation, March 2025.

BlueLM-2.5-3B Technical Report Experiment with gemini 2.0 flash native image generation, March 2025

Reference 20

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Observation 6ae19ea4-3ef2-4f0e-b53a-0d484b3c2d0f · outbound

This paper cites A diagram is worth a dozen images.

BlueLM-2.5-3B Technical Report A diagram is worth a dozen images

Reference 21

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Observation 93e2e10a-20e6-4ae3-9972-a67b147e0f52 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

BlueLM-2.5-3B Technical Report OpenVLA: An Open-Source Vision-Language-Action Model

Reference 22

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Observation e587de10-b42f-467c-ab2e-4a006827bba7 · outbound

This paper cites NuminaMath.

BlueLM-2.5-3B Technical Report NuminaMath

Reference 23

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Observation 24d88810-d928-437e-ab86-a9be502ee943 · outbound

This paper cites Let's Verify Step by Step.

BlueLM-2.5-3B Technical Report Let's Verify Step by Step

Reference 24

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Observation 0e3c0fc3-a3e4-4ee0-8e10-da13dc6f19a8 · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

BlueLM-2.5-3B Technical Report Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 25

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Observation ff9ca6ba-06c3-4610-b4d2-be3e1504cb9c · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

BlueLM-2.5-3B Technical Report Improved Baselines with Visual Instruction Tuning

Reference 26

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Observation d17f7074-0cc9-428a-9ad1-95c7339ae149 · outbound

This paper cites RegMix: Data Mixture as Regression for Language Model Pre-training.

BlueLM-2.5-3B Technical Report RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 27

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Observation e8cc3344-90e0-443a-b477-4907b9f5eddf · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

BlueLM-2.5-3B Technical Report MMBench: Is Your Multi-modal Model an All-around Player?

Reference 28

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Observation ad9e5ada-4f23-4154-a02b-bc6c0831f769 · outbound

This paper cites OCRBench: on the hidden mystery of OCR in large multimodal models.

BlueLM-2.5-3B Technical Report OCRBench: on the hidden mystery of OCR in large multimodal models

Reference 29

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Observation cbbbde65-139f-49cd-a608-1bd3c1241da4 · outbound

This paper cites SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain.

BlueLM-2.5-3B Technical Report SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:54.756289Z

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Observation 855af91f-caa1-467d-8f95-ac7f5f10bb7e · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

BlueLM-2.5-3B Technical Report MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 31

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Observation 12ed7a25-f679-4d2a-9a3d-07c3a45f85b8 · outbound

This paper cites Bluelm-v-3b: Algorithm and system co-design for multimodal large language models on mobile devices.

BlueLM-2.5-3B Technical Report Bluelm-v-3b: Algorithm and system co-design for multimodal large language models on mobile devices

Reference 32

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Observation 27a4287b-2152-483d-9bd2-945575ec32f7 · outbound

This paper cites DeepScaleR: Surpassing O1-Preview with a 1.5B Model by Scaling RL.

BlueLM-2.5-3B Technical Report DeepScaleR: Surpassing O1-Preview with a 1.5B Model by Scaling RL

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.836620Z

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Observation 38190620-9fd5-45f2-bd6f-879759dab516 · outbound

This paper cites An Empirical Model of Large-Batch Training.

BlueLM-2.5-3B Technical Report An Empirical Model of Large-Batch Training

Reference 34

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Observation 4498765b-e928-47da-a0e9-0a7f9298dfba · outbound

This paper cites A Theory on Adam Instability in Large-Scale Machine Learning.

BlueLM-2.5-3B Technical Report A Theory on Adam Instability in Large-Scale Machine Learning

Reference 35

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Observation 790e238e-ee8b-424f-82f5-555ebdd806ec · outbound

This paper cites Compact language models via pruning and knowledge distillation.

BlueLM-2.5-3B Technical Report Compact language models via pruning and knowledge distillation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.821938Z

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Observation c0692d24-8a22-4d19-ad7f-7c99dc830202 · outbound

This paper cites Computer-using agent: Introducing a universal interface for ai to interact with the digital world.

BlueLM-2.5-3B Technical Report Computer-using agent: Introducing a universal interface for ai to interact with the digital world

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.807358Z

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Observation e11b67e7-3b60-4ed3-967b-1533bc2d90ec · outbound

This paper cites GPT-4o System Card.

BlueLM-2.5-3B Technical Report GPT-4o System Card

Reference 38

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Observation 13d2dde7-d7a7-45f6-a134-60b276009a80 · outbound

This paper cites Vlp: Vision language planning for autonomous driving.

BlueLM-2.5-3B Technical Report Vlp: Vision language planning for autonomous driving

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.791753Z

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Observation e35955bc-33e9-43ca-90d9-97e346a464f3 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

BlueLM-2.5-3B Technical Report YaRN: Efficient Context Window Extension of Large Language Models

Reference 40

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Observation cce9c1cc-8eef-4ce9-9b75-1c94c6d166d2 · outbound

This paper cites MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs.

BlueLM-2.5-3B Technical Report MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs

Reference 41

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Observation 028c9e2e-38dc-4704-be75-c5bc579e7954 · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

BlueLM-2.5-3B Technical Report UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 42

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Observation 07564441-5fdb-40eb-b611-5f9fdd06991d · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

BlueLM-2.5-3B Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 43

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Observation 5dece5a5-85f3-4224-bda5-88be4e86d8ee · outbound

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

BlueLM-2.5-3B Technical Report DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 44

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Observation 6746f65a-87e6-45fc-a4ef-818597e68f58 · outbound

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

BlueLM-2.5-3B Technical Report HybridFlow: A Flexible and Efficient RLHF Framework

Reference 45

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Observation a45ecb7f-1a78-4626-989a-c24d915589a7 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

BlueLM-2.5-3B Technical Report Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 46

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Observation 17216e23-cf4a-4cb2-8bc2-680b7e14c519 · outbound

This paper cites Predictive Data Selection: The Data That Predicts Is the Data That Teaches.

BlueLM-2.5-3B Technical Report Predictive Data Selection: The Data That Predicts Is the Data That Teaches

Reference 47

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Observation a0944d0a-8cdb-4ab4-9978-dda519ad7448 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

BlueLM-2.5-3B Technical Report Roformer: Enhanced transformer with rotary position embedding

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.776866Z

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Observation 1df7a144-500c-40a9-89ce-09ebfbd90298 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

BlueLM-2.5-3B Technical Report Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 49

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Observation 65ba52ef-e4f9-4669-ac64-25a5906fd243 · outbound

This paper cites MathScale: Scaling Instruction Tuning for Mathematical Reasoning.

BlueLM-2.5-3B Technical Report MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 50

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Observation 0fa79f6e-6436-44c9-afdf-9948485972af · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

BlueLM-2.5-3B Technical Report Gemini Robotics: Bringing AI into the Physical World

Reference 51

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Observation aec49f18-4409-4ec3-947c-9991b288b117 · outbound

This paper cites Gemma 3 Technical Report.

BlueLM-2.5-3B Technical Report Gemma 3 Technical Report

Reference 52

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Observation 2a44165a-792e-420b-9a5e-22592181d400 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

BlueLM-2.5-3B Technical Report Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 53

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Observation 443e0d3d-1fcd-49af-b28f-3ef55c48cee7 · outbound

This paper cites Kimi-VL Technical Report.

BlueLM-2.5-3B Technical Report Kimi-VL Technical Report

Reference 55

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Observation 554e03fc-5282-4328-af97-7a9ccb82ecff · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

BlueLM-2.5-3B Technical Report DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 56

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Observation 25bdba9a-a985-45f4-af7e-ca6aeb820ad6 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

BlueLM-2.5-3B Technical Report SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 57

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Observation f720abd6-9760-4e20-ad62-fe813e780f5e · outbound

This paper cites Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset.

BlueLM-2.5-3B Technical Report Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset

Reference 58

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Observation 06bb85d5-211a-4fbd-a05f-a62a028c235c · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

BlueLM-2.5-3B Technical Report Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 59

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Observation e0803c8b-51bb-4181-a989-9e242299386d · outbound

This paper cites an unresolved cited work.

BlueLM-2.5-3B Technical Report Unresolved cited work

Reference 60

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Observation 2b0ed490-261a-4480-b7cd-f4e0648da649 · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

BlueLM-2.5-3B Technical Report DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:56.979521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca8d9f79-1847-40f5-a93b-5149c8061d30 · outbound

This paper cites Data selection for language models via importance resampling.

BlueLM-2.5-3B Technical Report Data selection for language models via importance resampling

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.754627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2bf78307-4185-407d-ad2d-a0ae0b06afe7 · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.

BlueLM-2.5-3B Technical Report Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.739896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f04cb61-0695-4712-9377-dee7be8ff155 · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model.

BlueLM-2.5-3B Technical Report Drivegpt4: Interpretable end-to-end autonomous driving via large language model

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.723962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae21e940-017e-478c-96b6-0097382a7a02 · outbound

This paper cites Qwen3 Technical Report.

BlueLM-2.5-3B Technical Report Qwen3 Technical Report

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:57.188146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 203a912c-06cb-4a22-a508-fbea9047bb0b · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

BlueLM-2.5-3B Technical Report MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:57.234128Z

Source-reported events for the cited work

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Observation cf92296c-160b-45b4-ac2f-86c80a1a83aa · outbound

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

BlueLM-2.5-3B Technical Report DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:57.281279Z

Source-reported events for the cited work

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Observation 0994c088-e4ca-4868-b695-cb8b18c4cb76 · outbound

This paper cites RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness.

BlueLM-2.5-3B Technical Report RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:57.324318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 088feea2-f743-48af-9c46-217b475dd4ff · outbound

This paper cites RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback.

BlueLM-2.5-3B Technical Report RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:57.396552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532b78ff-69e3-40e6-8cf4-7812faf72dc6 · outbound

This paper cites Mm-vet: Evaluating large multimodal models for integrated capabilities.

BlueLM-2.5-3B Technical Report Mm-vet: Evaluating large multimodal models for integrated capabilities

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.706773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d942084-6438-4679-bb7a-01477ac7a993 · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

BlueLM-2.5-3B Technical Report Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.691014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc6ef6d1-7ac9-4057-897b-5e472f24e847 · outbound

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

BlueLM-2.5-3B Technical Report Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.677335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d2588f93-a467-445b-be5d-f634803d0c31 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

BlueLM-2.5-3B Technical Report Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:57.663562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21214bb6-b6f2-456c-89af-49c31b559e24 · outbound

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

BlueLM-2.5-3B Technical Report Instruction-Following Evaluation for Large Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:57.715246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eaaa038-ee8b-4475-9fcb-d7a3e6d9708e · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

BlueLM-2.5-3B Technical Report InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:57.763553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d4e643b-14a7-44de-97a1-68e8964e6cc6 · outbound

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BlueLM-2.5-3B Technical Report Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:20:59.664588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f63d922-ba94-4e25-96b6-34908802a807 · outbound

This paper cites 34 BlueLM-2.5-3B Input Image Prompt: 回答图中选择题 Response: <think>.

BlueLM-2.5-3B Technical Report 34 BlueLM-2.5-3B Input Image Prompt: 回答图中选择题 Response: <think>

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.650792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a737f17-7992-4225-bc5d-9ed34ad73240 · outbound

This paper cites an unresolved cited work.

BlueLM-2.5-3B Technical Report Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:20:59.447119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d693696e-bed9-4c08-a953-5c4e5c8fad33 · outbound

This paper cites 37 BlueLM-2.5-3B T ask: 帮我搜索头戴式的蓝牙耳机，并筛选出价格区间在0到300的。 Figure 13: Example of BlueLM-2.5-3B solving GUI agent problems.

BlueLM-2.5-3B Technical Report 37 BlueLM-2.5-3B T ask: 帮我搜索头戴式的蓝牙耳机，并筛选出价格区间在0到300的。 Figure 13: Example of BlueLM-2.5-3B solving GUI agent problems

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:20:59.174525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 588361e1-760b-4ebd-b5c2-6dab44a65a71 · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

BlueLM-2.5-3B Technical Report Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:57.546864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2038f1ae-ed4b-452d-9980-f3a60fa7d88d · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

BlueLM-2.5-3B Technical Report MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:56.871789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0f1af5d-8ee7-4d5c-b13e-b8847f51641e · outbound

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

BlueLM-2.5-3B Technical Report AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:53.303978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers