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Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 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

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:43:04.937696Z

measured 0 of 1 external citation measurements

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

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

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T18:42:02.940250Z digest=sha256:1411017460684373f78a967113168186c402c576fef3fb4fb6d0ebbc798e68f9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T02:21:32.991341Z digest=sha256:0299f3bc05f9650c8666f3c8f1e17db06c74f96a9f4d1635a07845ac94746aba

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:43:04.937696Z digest=sha256:620ca6787a9bf1bfcd358a0595af115b92769d83f8a4ace7f12391e0645a9f55

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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no resolver link, observed 2026-08-05T21:55:11.905074Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-05T21:55:11.905074Z digest=sha256:6ed8897289390401ce67355011bc1ba0761b8308ad06aeadeac06986ccdb683c

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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no resolver link, observed 2026-08-05T17:31:13.084588Z

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source=pdf_text observed=2026-08-05T17:31:13.084588Z digest=sha256:0c8d7a4dcf4ef0a84143bf3e83fb34ea36b4c670706028a33faa365c26125355

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=sha256:8ac32ffffef1d019af693435ac6481a61bfd9e243e624004ed1e02b818f72928

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:dceabcaeb6426efa32f57237ad766f09b501fa332bf439b11ae452daf0124efc

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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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T09:52:48.027958Z digest=sha256:622483f9c4324a0ad1f74de855b581c498b3dfccc242b994a1dda443b89f789b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T20:36:22.974054Z digest=sha256:46bf4cac9456ee8b794ddfe977dc01901d17dc63066312c2006fb9504b9ba00f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:37:10.005115Z digest=sha256:048808423b581f56a5906f9f260b8e8b948470876956013ce9082f50273e1c55

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T14:26:08.188950Z digest=sha256:31abdb3692c41345cc6c6bd919f4f3363a51b6b388b11bd8604d78535f607286

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:43:10.954122Z digest=sha256:e24371f62a84807992009ef915f6a3d4c74e6b5df9a7c4e7ae29a67e0f801bcb

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=sha256:1e73df66582b95d36dbf31562917a374ec3bfc78936382d201f14253354b57bf

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:38:16.972435Z digest=sha256:6e323f4bc19783ba05c7ae4c5d2ce325f328e728f626a934afa0e7d2f4a2b3aa

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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no resolver link, observed 2026-08-02T21:47:27.912200Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:47:27.912200Z digest=sha256:7efa2f8e8399f16c02abaaed482280417b36550e2b525bc3047334dace64ad84

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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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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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 2026-08-05T06:32:48.257954+00:00.

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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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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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T19:36:05.119054Z digest=sha256:628e6423261d401039fb9710c4839c706c6f2a10e475b0a21be7c5dce4fe4ea1

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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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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T01:58:19.295247Z digest=sha256:4de5fc5eabfe63376c24ab307446158ddf5cc7608c32a38902b7fcf1c44007a4

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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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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-19T16:45:16.963802Z digest=sha256:5bcd4b9348dadc4bd6379e0e76522e32ad519a396e2757fd0883396bbdeba6f7

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

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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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T07:31:24.683525Z digest=sha256:0e6fa43751669c0c11c92fb6594b928a01f4241e8ccc44835e035bf769d7ac30

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

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

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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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

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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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T10:44:24.318786Z digest=sha256:a12e947ab01e31f99b2608cfa9a146f7e35c2b9c35e344b692ac9d88306f2f7e

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

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source=pdf_text observed=2026-08-02T11:29:48.071549Z digest=sha256:8817b32dac453f3b6707e9842ac08540fe22567262ac749af7fe79df7b148f7f

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

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

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-02T22:10:59.568675Z digest=sha256:34446edd98feea35fbcbe45c48a2ab37302e878b87fdbb95791a918582a9961f

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

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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 2026-08-05T06:32:48.257954+00:00.

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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

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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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T17:37:11.371892Z digest=sha256:989115fa57f4be5a60405f8b3dc4e6b64f653ce320989cd6bf579acf826ebb1f

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

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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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-25T20:38:25.089992Z digest=sha256:ccfcbd2f432b999ade142c22e4682fd2ce426926c29c597989ff67aafc2422f6

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

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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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T05:03:22.182138Z digest=sha256:4b1552904bbaeea9791400c14b1704899f45d22afdae82449861351055b0988d

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:45:11.904635Z digest=sha256:cff1d6fb17e275e173a08123ac48f52d25f1303b6bef6495d788c9f1e00789fb