DeepSeek-V3 Technical Report | Paper Citation Record

Observation eae6b165-9978-48ce-95a0-02bc18353653 · inbound

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis cites this paper.

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis DeepSeek-V3 Technical Report

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-23T19:45:47.153284Z

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Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models cites this paper.

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models DeepSeek-V3 Technical Report

Reference 9

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VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs cites this paper.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs DeepSeek-V3 Technical Report

Reference 34

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ProSec: Fortifying Code LLMs with Proactive Security Alignment cites this paper.

ProSec: Fortifying Code LLMs with Proactive Security Alignment DeepSeek-V3 Technical Report

Reference 37

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InstCache: A Predictive Cache for LLM Serving cites this paper.

InstCache: A Predictive Cache for LLM Serving DeepSeek-V3 Technical Report

Reference 6

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HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting cites this paper.

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting DeepSeek-V3 Technical Report

Reference 26

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A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls cites this paper.

A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls DeepSeek-V3 Technical Report

Reference 12

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Observation 4fe95007-a469-4ce0-9551-e537de44e732 · inbound

OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation cites this paper.

OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation DeepSeek-V3 Technical Report

Reference 28

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Observation 55be5b6d-f7b9-47be-af5b-f31bfbce3f67 · inbound

Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis cites this paper.

Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis DeepSeek-V3 Technical Report

Reference 6

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Observation 5b30cef5-bfb8-4b7f-9062-8ed75513b202 · inbound

Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers cites this paper.

Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers DeepSeek-V3 Technical Report

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-05-23T07:55:28.802466Z

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Observation 67732f15-0c1c-4d61-b83f-d06d45f5ce78 · inbound

Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers cites this paper.

Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers DeepSeek-V3 Technical Report

Reference 93

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Observation 304a7ad2-6fba-4aaa-9302-ba376dbe45e0 · inbound

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework cites this paper.

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework DeepSeek-V3 Technical Report

Reference 63

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Observation d1079219-1573-4a92-b259-054ff5840111 · inbound

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement cites this paper.

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement DeepSeek-V3 Technical Report

Reference 83

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Observation 9c3580c1-f681-44d6-90f2-fdd3999d35cd · inbound

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations cites this paper.

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations DeepSeek-V3 Technical Report

Reference 28

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Observation 25af1cd3-2241-4ddf-83f9-57a9d2e5afca · inbound

Asking Again and Again: Exploring LLM Robustness to Repeated Questions cites this paper.

Asking Again and Again: Exploring LLM Robustness to Repeated Questions DeepSeek-V3 Technical Report

Reference 11

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Observation 85a6f3b5-85df-4b15-bc32-5338dd303f98 · inbound

Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model cites this paper.

Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model DeepSeek-V3 Technical Report

Reference 17

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Observation 9c0ce407-7854-4028-951e-ebf097e256ab · inbound

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts cites this paper.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts DeepSeek-V3 Technical Report

Reference 66

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Observation fc3d4699-2566-428d-98c4-3cee310b9c6f · inbound

How Private are Language Models in Abstractive Summarization? cites this paper.

How Private are Language Models in Abstractive Summarization? DeepSeek-V3 Technical Report

Reference 2012

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Observation 23c79c42-8f28-4294-b24e-edb9a870f05a · inbound

Core Context Aware Transformers for Long Context Language Modeling cites this paper.

Core Context Aware Transformers for Long Context Language Modeling DeepSeek-V3 Technical Report

Reference 2019

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Observation f571f914-c158-4d77-bf54-3a425daa95a5 · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models DeepSeek-V3 Technical Report

Reference 31

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Observation bcbba09f-2f6b-4799-935b-cd2e2531be45 · inbound

Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media cites this paper.

Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media DeepSeek-V3 Technical Report

Reference 26

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Observation 15bc84be-5671-4d28-8a77-668b9b38bd04 · inbound

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism cites this paper.

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism DeepSeek-V3 Technical Report

Reference 16

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Observation d4a17d1c-134c-4890-8a18-fe7ce4f6fe74 · inbound

SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code cites this paper.

SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code DeepSeek-V3 Technical Report

Reference 16

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Observation 7bd7d569-e7fe-4cbb-b30f-d89553934dff · inbound

CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval cites this paper.

CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval DeepSeek-V3 Technical Report

Reference 8

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Observation 85505580-11c7-4304-a5d9-c1aa5d469ada · inbound

ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning cites this paper.

ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning DeepSeek-V3 Technical Report

Reference 17

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Observation 52e1fbf3-6ca6-41fd-b332-1b5d4f98ee8a · inbound

The Race to Efficiency: A New Perspective on AI Scaling Laws cites this paper.

The Race to Efficiency: A New Perspective on AI Scaling Laws DeepSeek-V3 Technical Report

Reference 18

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Observation 5ff070ae-521e-49c7-9adb-57c5b802be34 · inbound

Can LLMs Ask Good Questions? cites this paper.

Can LLMs Ask Good Questions? DeepSeek-V3 Technical Report

Reference 4

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Observation 12958c37-73dc-4faa-b3d5-964fa3e43f32 · inbound

CURing Large Models: Compression via CUR Decomposition cites this paper.

CURing Large Models: Compression via CUR Decomposition DeepSeek-V3 Technical Report

Reference 32

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Observation 5751cac5-3ecf-476c-bdeb-718513c4ad81 · inbound

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding cites this paper.

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding DeepSeek-V3 Technical Report

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:02:37.317671Z

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Observation d8a3cec9-c06d-4f1f-8f18-1d0aa2b3d7c1 · inbound

TiEBe: Tracking Language Model Recall of Notable Worldwide Events Through Time cites this paper.

TiEBe: Tracking Language Model Recall of Notable Worldwide Events Through Time DeepSeek-V3 Technical Report

Reference 12

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Observation 0033d20c-6c9e-4382-a9e0-a84e4168f0fc · inbound

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory cites this paper.

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory DeepSeek-V3 Technical Report

Reference 18

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Observation 5c32bcf4-9d58-4b2a-8a56-225864a7d8a6 · inbound

LLMic: Romanian Foundation Language Model cites this paper.

LLMic: Romanian Foundation Language Model DeepSeek-V3 Technical Report

Reference 21

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Foundations of Large Language Models cites this paper.

Foundations of Large Language Models DeepSeek-V3 Technical Report

Reference 150

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Observation e990ceda-3eb0-4f31-905e-88d6eedbd3f2 · inbound

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators cites this paper.

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators DeepSeek-V3 Technical Report

Reference 18

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Observation 131930ce-7202-41cd-abb1-8f8ad6b1b823 · inbound

Is your LLM trapped in a Mental Set? Investigative study on how mental sets affect the reasoning capabilities of LLMs cites this paper.

Is your LLM trapped in a Mental Set? Investigative study on how mental sets affect the reasoning capabilities of LLMs DeepSeek-V3 Technical Report

Reference 14

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Observation 65300832-b983-49f9-902b-c3d9cfb7fc64 · inbound

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools cites this paper.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools DeepSeek-V3 Technical Report

Reference 10

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Observation 076187a3-1f86-441b-82d2-b6145164ea09 · inbound

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding DeepSeek-V3 Technical Report

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-11T01:19:59.863169Z

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Observation 2c7e6ccd-4b61-40ba-a0dc-12f0e0b1ae21 · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? DeepSeek-V3 Technical Report

Reference 25

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Observation e4fe04df-b524-43c0-831e-09432397544d · inbound

VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework cites this paper.

VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework DeepSeek-V3 Technical Report

Reference 35

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Observation e7531074-dbdf-4d2c-a97b-48e9c4b45065 · inbound

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models cites this paper.

Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models DeepSeek-V3 Technical Report

Reference 42

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Observation 43dcfc53-45c4-46d8-8420-0dbad8405940 · inbound

Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks cites this paper.

Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks DeepSeek-V3 Technical Report

Reference 10

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Observation eb6a7ce0-06db-468e-a011-4adb987d3888 · inbound

Multi-Grained Patch Training for Efficient LLM-based Recommendation cites this paper.

Multi-Grained Patch Training for Efficient LLM-based Recommendation DeepSeek-V3 Technical Report

Reference 5

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Observation 5a307099-4009-4049-87bb-7248b4f65b60 · inbound

STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection cites this paper.

STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection DeepSeek-V3 Technical Report

Reference 9

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Observation b6b41f06-ddc8-4565-a88e-1901afc1a1ee · inbound

CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge cites this paper.

CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge DeepSeek-V3 Technical Report

Reference 10

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Observation 311c7064-6913-4931-ae11-e5609d423d40 · inbound

Towards Frontier Safety Policies Plus cites this paper.

Towards Frontier Safety Policies Plus DeepSeek-V3 Technical Report

Reference 6

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Observation 3fabc616-ec12-468f-a680-0e53ab9c3810 · inbound

Few-Shot Optimized Framework for Hallucination Detection in Resource-Limited NLP Systems cites this paper.

Few-Shot Optimized Framework for Hallucination Detection in Resource-Limited NLP Systems DeepSeek-V3 Technical Report

Reference 1

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Observation a92c7303-5d98-45d0-838c-5856cb7e068f · inbound

Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling cites this paper.

Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling DeepSeek-V3 Technical Report

Reference 7

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Observation f7132edd-9506-474e-a247-546d6150db42 · inbound

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch cites this paper.

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch DeepSeek-V3 Technical Report

Reference 8

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Observation c9b73896-490b-4114-bf22-b89138d1044d · inbound

Efficient Reasoning with Hidden Thinking cites this paper.

Efficient Reasoning with Hidden Thinking DeepSeek-V3 Technical Report

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:47:33.618476Z

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Observation e80ed96b-742e-4a51-9e74-7e215efa2225 · inbound

Token-Level Entropy Reveals Demographic Disparities in Large Language Models cites this paper.

Token-Level Entropy Reveals Demographic Disparities in Large Language Models DeepSeek-V3 Technical Report

Reference 7

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Observation fa7dafaf-4d6b-46be-baf8-2b81dce23543 · inbound

Sigmoid Self-Attention has Lower Sample Complexity than Softmax Self-Attention: A Mixture-of-Experts Perspective cites this paper.

Sigmoid Self-Attention has Lower Sample Complexity than Softmax Self-Attention: A Mixture-of-Experts Perspective DeepSeek-V3 Technical Report

Reference 12

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Observation e8b3f769-5d16-49d0-8aba-b3a01f2205fa · inbound

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation cites this paper.

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation DeepSeek-V3 Technical Report

Reference 49

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Observation 1b734057-3f44-4891-af51-ce931e65f5ac · inbound

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs cites this paper.

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs DeepSeek-V3 Technical Report

Reference 21

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Observation e40b0cc7-4855-4ceb-8b2e-62c105ff3c4c · inbound

An Inquiry into Datacenter TCO for LLM Inference with FP8 cites this paper.

An Inquiry into Datacenter TCO for LLM Inference with FP8 DeepSeek-V3 Technical Report

Reference 17

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Observation e19a04e7-8d86-4d17-8419-f2bd12ee4e85 · inbound

Large Language Model-Enhanced Multi-Armed Bandits cites this paper.

Large Language Model-Enhanced Multi-Armed Bandits DeepSeek-V3 Technical Report

Reference 12

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Observation 88f2dfbc-6ae2-4a65-9cad-c4611684a46a · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time DeepSeek-V3 Technical Report

Reference 124

Resolution: malformed identifier; no resolver link, observed 2026-08-09T16:18:41.078851Z

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Observation 9cda63fa-7b6c-4bb5-9f13-9021b92ca758 · inbound

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology cites this paper.

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology DeepSeek-V3 Technical Report

Reference 67

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Observation 7a6945d2-7741-406e-9ba6-183fb5576d04 · inbound

What is a Number, That a Large Language Model May Know It? cites this paper.

What is a Number, That a Large Language Model May Know It? DeepSeek-V3 Technical Report

Reference 1966

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Observation 48bfff0f-49b9-468d-981c-56d669518c22 · inbound

Fast Large Language Model Collaborative Decoding via Speculation cites this paper.

Fast Large Language Model Collaborative Decoding via Speculation DeepSeek-V3 Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:42.831914Z

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Observation 5292182d-541b-4b05-ad58-94f2257098e7 · inbound

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression cites this paper.

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression DeepSeek-V3 Technical Report

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c972d878-e692-4cd8-b891-31ea59d79358 · inbound

Brief analysis of DeepSeek R1 and its implications for Generative AI cites this paper.

Brief analysis of DeepSeek R1 and its implications for Generative AI DeepSeek-V3 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T11:53:29.353746Z

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Observation 380e2e34-d2b9-4b37-8a5c-2a7648de7c00 · inbound

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On Teacher Hacking in Language Model Distillation DeepSeek-V3 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T11:34:57.012110Z

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Observation 1452674c-96c5-456b-998f-a4fc73d4b3f0 · inbound

Distributional Statistics Restore Training Data Auditability in One-step Distilled Diffusion Models cites this paper.

Distributional Statistics Restore Training Data Auditability in One-step Distilled Diffusion Models DeepSeek-V3 Technical Report

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:32:34.085554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36a506c9-99ec-41e2-bd38-4364cce233ab · inbound

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models cites this paper.

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models DeepSeek-V3 Technical Report

Reference 2024

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Observation 82bdb3d6-3b3f-4600-ab45-79296c2a0103 · inbound

Do Large Language Model Benchmarks Test Reliability? cites this paper.

Do Large Language Model Benchmarks Test Reliability? DeepSeek-V3 Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.586462Z

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Observation 9d14c827-305c-4ec8-827a-3e4a1f7c6089 · inbound

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It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers DeepSeek-V3 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T00:49:12.156833Z

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Observation 8a13cc3b-5db4-4ec4-b93c-0049e19c9991 · inbound

Large Language Models for Multi-Robot Systems: A Survey cites this paper.

Large Language Models for Multi-Robot Systems: A Survey DeepSeek-V3 Technical Report

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:32:32.164101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 46a23293-397f-4d7f-b03c-1a76ad22cb29 · inbound

InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers cites this paper.

InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers DeepSeek-V3 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T00:27:31.075403Z

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Observation cab062a9-d0c5-4ae0-b7d7-ee1707ce529c · inbound

Quantification of Biodiversity from Historical Survey Text with LLM-based Best-Worst Scaling cites this paper.

Quantification of Biodiversity from Historical Survey Text with LLM-based Best-Worst Scaling DeepSeek-V3 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T23:52:33.684187Z

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Observation 9538a13a-9d2b-4ddf-8226-c174c3ddb07c · inbound

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation cites this paper.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation DeepSeek-V3 Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T23:20:01.057079Z

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Observation 9182281b-7a15-4fd4-9b4f-7ffc17c828cd · inbound

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization cites this paper.

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization DeepSeek-V3 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T22:57:12.708501Z

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Observation 61edb299-0ff9-4818-b055-d01619502b46 · inbound

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives cites this paper.

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives DeepSeek-V3 Technical Report

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:21.207722Z

Source-reported events for the cited work

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Observation 7d20637e-1d00-4009-a74c-95afaac33a48 · inbound

An Analysis for Reasoning Bias of Language Models with Small Initialization cites this paper.

An Analysis for Reasoning Bias of Language Models with Small Initialization DeepSeek-V3 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T05:28:51.575637Z

Source-reported events for the cited work

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Observation 21117b2c-ec02-4c3c-b4c4-9cd800c9a037 · inbound

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis cites this paper.

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis DeepSeek-V3 Technical Report

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:12:31.120576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c04a9a4f-0fa6-42ba-ade7-812b9f983853 · inbound

TruthFlow: Truthful LLM Generation via Representation Flow Correction cites this paper.

TruthFlow: Truthful LLM Generation via Representation Flow Correction DeepSeek-V3 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:28.265727Z

Source-reported events for the cited work

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Observation 5631c1a8-bae6-4087-b558-1f239ac15b86 · inbound

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools cites this paper.

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools DeepSeek-V3 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T22:03:46.410664Z

Source-reported events for the cited work

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Observation 0060660f-055c-4f78-97b3-65748da08df3 · inbound

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Improving Language Models with Intentional Analysis DeepSeek-V3 Technical Report

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T03:45:21.601506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7d5c5bf9-f9db-43e4-9c49-9eaaaac4dd13 · inbound

A Lightweight Method to Disrupt Memorized Sequences in LLM cites this paper.

A Lightweight Method to Disrupt Memorized Sequences in LLM DeepSeek-V3 Technical Report

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T20:08:57.409176Z

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Observation 78436f21-3456-4ef8-8f60-8fdb75e71b35 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach DeepSeek-V3 Technical Report

Reference 44

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T15:39:41.101561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9c8615e4-4928-469f-9789-693ae3ba9c8d · inbound

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion cites this paper.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion DeepSeek-V3 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.685425Z

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Observation 0ebbc5bc-b4bd-4e9f-b7c8-538b129b2a3b · inbound

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts cites this paper.

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts DeepSeek-V3 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T16:20:38.261204Z

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Observation a3c27fc1-d4d8-479c-a20d-02eba64c8274 · inbound

Efficient Scientific Full Text Classification: The Case of EICAT Impact Assessments cites this paper.

Efficient Scientific Full Text Classification: The Case of EICAT Impact Assessments DeepSeek-V3 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T15:08:34.749990Z

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Observation 63663d68-cd9d-4c9c-8be3-f41ef5f6488c · inbound

LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM cites this paper.

LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM DeepSeek-V3 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T15:05:14.698193Z

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Observation 292779e5-b639-4409-a57b-e2699deb09de · inbound

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning cites this paper.

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning DeepSeek-V3 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T14:27:50.997289Z

Source-reported events for the cited work

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Observation fd0b7c91-341b-4bd7-b841-e62f05ec2dd8 · inbound

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Diffusion Instruction Tuning DeepSeek-V3 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T11:20:02.854961Z

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Observation ae10fe3c-79cc-4918-87e7-aa4bc051ff88 · inbound

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TorchResist: Open-Source Differentiable Resist Simulator DeepSeek-V3 Technical Report

Reference 1

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Observation bb3e6816-1878-451c-8c04-f8f4646b7cda · inbound

BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models cites this paper.

BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models DeepSeek-V3 Technical Report

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e747ee-853e-4173-a2ac-7ac7671c35ab · inbound

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems cites this paper.

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems DeepSeek-V3 Technical Report

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 555fb950-d288-47cd-a5bc-05525f05a5f0 · inbound

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Reference 2024

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Source-reported events for the cited work

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Observation 6a81e1ff-3720-4148-92a2-2297c984b8c5 · inbound

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery cites this paper.

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Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f709682-02b2-49d6-829d-af86e7374b5a · inbound

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference cites this paper.

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Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252bd5cf-8d13-49d8-ace9-9794637aebda · inbound

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Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving DeepSeek-V3 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T12:07:05.005543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6790b94a-e77b-4cc6-8242-1cb83a8ab86e · inbound

Automatic Robot Task Planning by Integrating Large Language Model with Genetic Programming cites this paper.

Automatic Robot Task Planning by Integrating Large Language Model with Genetic Programming DeepSeek-V3 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T11:40:22.629463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d9dc3f-e77c-4f6f-b7a9-556239caeadf · inbound

Memory Analysis on the Training Course of DeepSeek Models cites this paper.

Memory Analysis on the Training Course of DeepSeek Models DeepSeek-V3 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T12:59:38.681544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b88a6ef-0185-4862-bd57-22afcac7d2fe · inbound

TransMLA: Multi-Head Latent Attention Is All You Need cites this paper.

TransMLA: Multi-Head Latent Attention Is All You Need DeepSeek-V3 Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T11:48:01.102517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d364605-829e-46e2-a240-aea2647b6864 · inbound

Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance cites this paper.

Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance DeepSeek-V3 Technical Report

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T10:25:12.998707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2786401a-3b35-43b9-adb6-26099075eb8a · inbound

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits cites this paper.

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits DeepSeek-V3 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:45.463846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffbf2ab4-f552-4b1e-a991-c0f243eba732 · inbound

Improving Existing Optimization Algorithms with LLMs cites this paper.

Improving Existing Optimization Algorithms with LLMs DeepSeek-V3 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T05:44:10.185662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ff52adb-7b33-43e9-ba3a-54abf805112c · inbound

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance cites this paper.

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance DeepSeek-V3 Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T05:20:20.492413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6995f843-6bb6-462c-93e1-aff7e85b49e4 · inbound

LLM Pretraining with Continuous Concepts cites this paper.

LLM Pretraining with Continuous Concepts DeepSeek-V3 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T04:54:39.280782Z

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Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers