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Paper Citation Record · LEDGER

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 49 inbound Pith citation observations for arXiv:2411.02265.

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

pith.paper-citation-record.v1
2411.02265 v3

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:28:01.924986Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-04T20:10:07.812289Z

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Outbound references

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Pith citing papers

Observation 001dea26-9bda-4228-976c-c7a2864c6dd9 · inbound

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization cites this paper.

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 22

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source=arxiv_source observed=2026-08-12T19:42:37.500904Z digest=sha256:ff7617b1d94a6b58d9e29051c68d95db512688b85b7f3790f8fe9b21756a4200

Observation d3b598fd-42fe-46db-960d-6e368537b2dd · inbound

LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System cites this paper.

LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 43

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source=pdf_text observed=2026-08-12T15:57:22.423039Z digest=sha256:9a03c05750ac7a1ee52f229caf27bdd32b1c12ff57f717462c9610205ffbe9a5

Observation 5d9d3d30-b82e-4181-bf74-5da0ac2d58aa · 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 Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 171

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source=pdf_text observed=2026-08-11T12:44:36.003982Z digest=sha256:b721ba1b165234d8c24b6cca8e2ccdaccd6a1b5ba0c6a5dc82874c31384c747f

Observation 42ca0740-81c6-4f92-b86c-f5e9f22d289b · inbound

E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models cites this paper.

E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 40

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source=pdf_text observed=2026-08-10T23:08:54.795600Z digest=sha256:38a5eff40c910c93d8327c55f9ba6fa34051b43b73081a18d080a0ed723a67e2

Observation 9210ff77-3c53-42aa-a962-83badee892ee · inbound

Autonomy-of-Experts Models cites this paper.

Autonomy-of-Experts Models Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 2013

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source=pdf_text observed=2026-08-10T16:32:07.304131Z digest=sha256:c31decff1192237f53c0dce1c70814e78ffd96bd041822f412d1cc076ee4fb10

Observation 3b5988ef-2a10-4918-8a70-c750dc5c42e8 · inbound

Mixture of Experts (MoE): A Big Data Perspective cites this paper.

Mixture of Experts (MoE): A Big Data Perspective Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 160

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source=pdf_text observed=2026-08-10T18:56:37.779552Z digest=sha256:d819ea9825b6fc4a788c70b07562efb7276ec42dc113396789376e3cedc56314

Observation 5a68a059-4596-4287-89b4-b991232b8963 · 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 Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 66

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source=pdf_text observed=2026-08-09T16:10:24.934912Z digest=sha256:c1f235205b119734a804bd903a75995e8eabd9fed5f88e97cc4fd97169357fdd

Observation 40b78dfb-ca84-4a26-a305-2859f1f528e0 · inbound

Scaling Laws for Upcycling Mixture-of-Experts Language Models cites this paper.

Scaling Laws for Upcycling Mixture-of-Experts Language Models Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 58

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source=arxiv_source observed=2026-08-09T10:21:00.901515Z digest=sha256:cb31192d28d02b6f5388686b8f46efc455e35304d3eb86f7ddcc6d22f8ccb891

Observation 74313009-739b-461d-a538-339d961a8808 · 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 Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 73

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source=pdf_text observed=2026-08-09T00:27:31.289157Z digest=sha256:34832eccb0200a684dad98753b525c64d4503d57ea096b1b13bf853525353168

Observation f47bb99f-d1ac-4019-9fa0-df0c51e5d463 · inbound

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness cites this paper.

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 91

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arxiv_id, observed 2026-05-14T18:42:03.275424Z

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source=pdf_text observed=2026-05-14T18:42:02.940250Z digest=sha256:d1d6e37978c8201cff8413784b6bf4f49c631fb0b2a45df3851ef282eb4b96e9

Observation 5bbf98db-1f25-45a7-a16b-cee54e062a5f · inbound

Compass-V2 Technical Report cites this paper.

Compass-V2 Technical Report Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 66

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source=arxiv_source observed=2026-08-16T11:28:01.924986Z digest=sha256:a490addcdd237b9afe7d07c52d949620543884e1918104f275b7e18634fe3525

Observation 0344a695-a6c9-4228-b626-424f870ee78a · inbound

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs cites this paper.

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 53

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source=pdf_text observed=2026-08-15T23:31:19.601451Z digest=sha256:bce7c85e679549d987df9af9c83c961f3bb89b0a4d6e4b910b64dfcab2baca10

Observation c36e8bbb-f951-4543-99eb-d011d4f50190 · inbound

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model cites this paper.

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 54

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source=pdf_text observed=2026-08-07T15:43:34.075634Z digest=sha256:fd3cfccf84fca355e586070babcea24d4d61cfa15b1ee3874ce8c7fc45b2b457

Observation b30712b0-0274-4053-aade-9b5fe9d872b2 · inbound

On-the-fly Routing for Zero-shot MoE Speaker Adaptation of Speech Foundation Models for Dysarthric Speech Recognition cites this paper.

On-the-fly Routing for Zero-shot MoE Speaker Adaptation of Speech Foundation Models for Dysarthric Speech Recognition Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 40

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source=pdf_text observed=2026-08-07T13:23:06.618315Z digest=sha256:ab5f9d226d7113b426d41e10e8233ba7d0f2cd69e197692373b3ad5e9ddadb83

Observation c9fb6d63-de66-4615-b6a2-19928f281d80 · inbound

New Tools are Needed for Tracking Adherence to AI Model Behavioral Use Clauses cites this paper.

New Tools are Needed for Tracking Adherence to AI Model Behavioral Use Clauses Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 1

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source=pdf_text observed=2026-08-07T13:14:48.757667Z digest=sha256:50f8a1671fd0f584381baaf05a10d1a6bec3a8f740e30dc91171461fc94c4d75

Observation c42c8c0d-a8f7-4c7e-bbb2-94002a404bb6 · inbound

Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis cites this paper.

Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 30

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source=arxiv_source observed=2026-08-07T12:35:28.064865Z digest=sha256:a1e4a501944e302064585454c1bff5947e8b581e2abc8e912bcb280b8b797c50

Observation 25838a4d-c1b0-4381-a603-494ab3fc84a0 · inbound

Overfitting has a limitation: a model-independent generalization gap bound based on R\'enyi entropy cites this paper.

Overfitting has a limitation: a model-independent generalization gap bound based on R\'enyi entropy Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 15

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arxiv_id, observed 2026-05-22T02:24:30.955561Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T02:21:32.991341Z digest=sha256:8d22980bb8ceb1d656957fd58404c6c73813e521230589ba223ab908914c0db7

Observation ce6e3534-dc16-42b7-8919-bb123d0d56f4 · inbound

Can Vision Language Models Understand Mimed Actions? cites this paper.

Can Vision Language Models Understand Mimed Actions? Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 72

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source=arxiv_source observed=2026-08-07T00:23:48.050373Z digest=sha256:489eb31f6c7803d133d854a9a0f77c7db4e56176080c416fcbae50fafb662baa

Observation 49ac9f5b-f89d-4f83-bbcc-27dc0fb273bb · inbound

ViSP: A PPO-Driven Framework for Sarcasm Generation with Contrastive Learning cites this paper.

ViSP: A PPO-Driven Framework for Sarcasm Generation with Contrastive Learning Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 29

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source=arxiv_source observed=2026-08-06T18:00:19.295208Z digest=sha256:970a31f3bf6481576637e3704ab0f668c1ca90558d5ce1537d43dd1fbe74100d

Observation 0a72b2f9-f3ae-4c1d-9059-321f2d3dbf76 · inbound

Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation cites this paper.

Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 28

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source=arxiv_source observed=2026-08-05T23:43:04.937696Z digest=sha256:70735ba0f836461f911b0e29d0c219f46dab15c50a7d7c68e7f7b01eac26ff30

Observation 1ba115c0-06c2-41ad-b018-3de5f41d8e2c · inbound

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts cites this paper.

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 39

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source=arxiv_source observed=2026-08-05T21:55:11.905074Z digest=sha256:45e7425dec9b5ea7229dd3e917d3a212a59bc689da4dd865a4452f802aa546e1

Observation b81d3c45-33be-48b0-bd2e-52187fc54264 · inbound

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers cites this paper.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 25

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source=pdf_text observed=2026-08-05T17:31:13.084588Z digest=sha256:25884c60d05c791dfac3c334624c2ffd9cc6a4034493ea9662653643b744485a

Observation 9e8fb600-23f1-449c-88d1-27803be1d3aa · inbound

RLMR: Reinforcement Learning with Mixed Rewards for Creative Writing cites this paper.

RLMR: Reinforcement Learning with Mixed Rewards for Creative Writing Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 2020

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source=pdf_text observed=2026-08-05T16:24:50.583302Z digest=sha256:241cf6b809b17e271a15c1d7f7d51e2c003a580714797b08e412f740f9c34da4

Observation 5396dafc-31f9-4c07-ad12-a08a9989cc6b · inbound

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching cites this paper.

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 33

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source=pdf_text observed=2026-08-15T16:00:04.683744Z digest=sha256:0f66f9e3caca09cf3ded8dc03e373c3f34babb953b5ccb04831f60014c2fad2c

Observation ada2edc4-63e9-4b1a-bacf-8705c75ab9f4 · inbound

PanoLora: Bridging Perspective and Panoramic Video Generation with LoRA Adaptation cites this paper.

PanoLora: Bridging Perspective and Panoramic Video Generation with LoRA Adaptation Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 27

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source=arxiv_source observed=2026-08-04T17:10:00.376863Z digest=sha256:6f7af9d749e0fc10d61ba8552e8b5200df945b7f65544601e271d03b46003b1d

Observation 4da5f804-e1a7-416f-88bc-0b681d74f85a · inbound

Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference cites this paper.

Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 56

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arxiv_id, observed 2026-05-18T09:56:13.374487Z

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source=pdf_text observed=2026-05-18T09:52:48.027958Z digest=sha256:cbfe173e84c3a114ee21d73a63e2025dc3de3e0cd39482610d5333b85c5f513f

Observation 6ef88d07-ed4c-44db-aedf-d9219b9e30a3 · inbound

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts cites this paper.

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 21

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arxiv_id, observed 2026-05-21T20:40:36.451973Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T20:36:22.974054Z digest=sha256:bab1930fcc1713a52923da91a15bf52fc7a3d40f01642b87813defc82b0ffb13

Observation 5598b849-769e-49d0-9251-0f3420485747 · inbound

DSBench: A Comprehensive Benchmark for Evaluating External and In-Cabin Risks cites this paper.

DSBench: A Comprehensive Benchmark for Evaluating External and In-Cabin Risks Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 38

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source=pdf_text observed=2026-08-03T21:37:10.005115Z digest=sha256:34fc86a2c4044fe654209e67b829698a643dcafec163a22f83cf4351c26dc8cb

Observation 43906de0-6310-4460-bc0b-82c315832ccc · inbound

Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain cites this paper.

Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 29

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arxiv_id, observed 2026-05-16T14:27:59.295055Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T14:26:08.188950Z digest=sha256:e2e38c63d57805adea27a9f387b76e4ff0c1fb1e7de31bbe80613cb41f59d74c

Observation fc87a030-d935-4ef9-877e-e047c9b48118 · inbound

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards cites this paper.

PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 6

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source=pdf_text observed=2026-08-03T05:43:10.954122Z digest=sha256:0aee879dde4ed948ddc6cdaa2604ff7ba7d5a48e450708cc08d9f8e529163774

Observation d55a8324-e952-4835-b0a7-f18cf4ea118c · inbound

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention cites this paper.

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 12

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source=pdf_text observed=2026-08-03T04:33:11.120711Z digest=sha256:d54e285f2aaaa4a9f59c1b9c9d83080d2630dcf22dcb96b4e7568340decbe24e

Observation c2d7d277-8da2-4cb5-9280-9b8d7ff69a1a · inbound

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention cites this paper.

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 12

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source=pdf_text observed=2026-08-04T00:38:16.972435Z digest=sha256:3cf84566db6a63763c3025aa7a57d2f4ec02947ebdb132280fa7ab5360759095

Observation 6b0839e2-01d1-4070-ab58-0c6e71fbfba7 · inbound

SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation cites this paper.

SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 40

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source=pdf_text observed=2026-08-02T21:47:27.912200Z digest=sha256:1075bc5efa17671fdf3f6eb79eb4acf897bdec1487d01843ac1a15cf98e7cc4a

Observation 4a8fe428-54a1-4b81-bf5e-f55a5a1922aa · 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 Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 35

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no resolver link, observed 2026-08-02T17:05:14.713934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:05:14.713934Z digest=sha256:fc63fbdbca11e409409c607dc09f140714d7484e07982be44654b0a0f132b724

Observation ea5f20ed-305f-45f4-ad19-1a2a9a3da1dd · inbound

SongBench: A Fine-Grained Multi-Aspect Benchmark for Song Quality Assessment cites this paper.

SongBench: A Fine-Grained Multi-Aspect Benchmark for Song Quality Assessment Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 21

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verified exact
arxiv_id, observed 2026-05-10T10:24:22.319083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T10:14:41.499130Z digest=sha256:18b4719ba8021b3d1ec92a123d2fc771fd023aa2c5444b4d2f7c62e69801ce80

Observation 4ae0acd7-e86d-4061-8323-13ed71c4d596 · inbound

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring cites this paper.

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 27

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metadata mismatch
arxiv_id, observed 2026-05-09T05:45:22.062825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-08T19:36:05.119054Z digest=sha256:038fb08799ea9ad249447f00cd4c72da7e9a140d43cc1625eac89da822ebe25a

Observation b4c0cb59-c4cf-40ae-9758-c63196eeb1ba · inbound

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment cites this paper.

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 108

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verified exact
arxiv_id, observed 2026-05-15T01:58:28.894446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-15T01:58:19.295247Z digest=sha256:6d79c3036aab3f80123fc022b98465dff8f60e8d100c2accfbe7f271c65fb9aa

Observation 63502ccd-76cc-42d2-8d26-b676c16ad6f2 · inbound

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment cites this paper.

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 108

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verified exact
arxiv_id, observed 2026-05-19T16:47:40.392440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-19T16:45:16.963802Z digest=sha256:713954f71bf9d975afa44821f8277ca79539b0cc4c6d5dc0e8f763b7e84bd015

Observation e5a5ac29-cd5a-41a8-bc01-f6d9649dea0a · inbound

From Blind Guess to Informed Judgment: Teaching LLMs to Evaluate Materials by Building Knowledge-Augmented Preference Signals cites this paper.

From Blind Guess to Informed Judgment: Teaching LLMs to Evaluate Materials by Building Knowledge-Augmented Preference Signals Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:33:13.363610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T07:31:24.683525Z digest=sha256:2b50cc02a17fc9160bf2fd5bae2a0dc885dab212c9f9587e6b66581881db2587

Observation 4aae7ec2-705b-461d-82a0-9946e25a089c · inbound

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation cites this paper.

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:12:46.602454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T23:11:58.580004Z digest=sha256:a6518f5a07d246c4081e37ecc6ba70f46d43670a6a27390de8feb2ba20d7039a

Observation b4453673-45e2-4e8d-a9b3-b483a8de8732 · inbound

Diffusing in the Right Space: A Systematic Study of Latent Diffusability cites this paper.

Diffusing in the Right Space: A Systematic Study of Latent Diffusability Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:46:27.672507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T10:44:24.318786Z digest=sha256:b2292fc97eaf898258029ba1e334a6e18f27e54fd5dcab47a856d7cd8f92950e

Observation 2874418f-05f7-4e5b-b42c-f2b49367be23 · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 286

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:48.071549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:48.071549Z digest=sha256:782a26b6fe156fa61c7b414caf94f8d41e225c6e672864d3d2f478ae97979b6d

Observation 3be327a8-6639-4d48-9d5d-f07f1e54b864 · inbound

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 89

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:17:25.455809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-02T22:10:59.568675Z digest=sha256:7773d989ef82744e6fd85fc4b93b2ee8a403f870c7d68592ed0608e872025116

Observation 29b636ef-3625-4d1a-bff0-840fa95f9fb1 · inbound

ARGUS: Production-Scale Tracing and Performance Diagnosis for over 10,000-GPU Clusters cites this paper.

ARGUS: Production-Scale Tracing and Performance Diagnosis for over 10,000-GPU Clusters Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:39:40.612103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T15:40:58.995852Z digest=sha256:0267183e57b28297a1b10eba5aa2be1f18d878fdf203a836cdc20182fb8454a7

Observation c6fb2507-f948-4e65-b42a-57a0f1d62051 · inbound

CogniRoute: Learning to Route Social Evidence in Omni-Modal Models cites this paper.

CogniRoute: Learning to Route Social Evidence in Omni-Modal Models Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 135

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:49:30.425725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T17:37:11.371892Z digest=sha256:95194ad2953d1e67bb7f1b8919f6c036a8975ab89b1f6c2ce7da10a837acd3e6

Observation 82c2f7ef-d0e6-4e92-b3d9-b37edcd3e79e · inbound

Bridging the Post-discharge Gap: A Traceable Multi-agent Framework for Safe and Continuous Care cites this paper.

Bridging the Post-discharge Gap: A Traceable Multi-agent Framework for Safe and Continuous Care Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:10:07.813866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-25T20:38:25.089992Z digest=sha256:43ab87830414d0b89966e8c62af903e5449278fc2bac84d1b944c003d159f739

Observation c14407f8-8044-4eb8-979c-4d567ea256e6 · inbound

ResilPhase: Plug-and-Play Phase Mapping and Noise-Resilient Macro-Trajectory Extrapolation for Diffusion Acceleration cites this paper.

ResilPhase: Plug-and-Play Phase Mapping and Noise-Resilient Macro-Trajectory Extrapolation for Diffusion Acceleration Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:39:50.678844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T05:03:22.182138Z digest=sha256:46e006c28fe33ca4fb009889ee54c28816ea8ae88aded2e5c65b3afc856bef00

Observation 7cb5d772-0a91-4b0e-a2a1-11c3498113fa · inbound

SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales cites this paper.

SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T06:45:11.904635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:45:11.904635Z digest=sha256:f1488ecd4bd520e381ab644d92801da46ba186b821fba93812334df80328af2a

Observation 1e57663f-f5c3-4323-8c67-1a5822d3e045 · inbound

LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining cites this paper.

LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T00:37:13.197652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:37:13.197652Z digest=sha256:be2d75c8d771c0bec04d144de2ed0b35d3902b1c4fbc1f363eae1e8f42d60afd