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Paper Citation Record · LEDGER

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning

As of 4 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2604.04229.

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

pith.paper-citation-record.v1
2604.04229 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T10:41:51.251736Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T10:42:36.967839Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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Outbound references

Observation a5a1d30c-04cf-42f4-9d5f-f7e84ab95ad0 · outbound

This paper cites Old Optimizer, New Norm: An Anthology.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Old Optimizer, New Norm: An Anthology

Reference 1

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:ccbdcf3765638e134cb0d2851f9b3fe8f9d91236b219cdc389d8f904d763735e

Observation 7daf3b1e-22ad-4151-af5f-845d867c4534 · outbound

This paper cites Muon optimizes under spectral norm constraints.arXiv preprint arXiv:2506.15054,.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Muon optimizes under spectral norm constraints.arXiv preprint arXiv:2506.15054,

Reference 2

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:75ec514cacbd91ff19973a3006709febbe3d11f47c0d25f4279b3b754049caa8

Observation c1c178d2-1333-435e-b5e6-0b831ce7b4df · outbound

This paper cites VoiceBench: Benchmarking LLM-Based Voice Assistants.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning VoiceBench: Benchmarking LLM-Based Voice Assistants

Reference 3

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Observation 4e701451-8a0c-454b-8c77-acc524137453 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Training Verifiers to Solve Math Word Problems

Reference 4

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:bfc587eab0a004aa57883f6a6c91a24a7fb7e4ac7c30b18361b25243845ac484

Observation 30f763ac-c475-400c-9084-a03a5a7a28fb · outbound

This paper cites Closing the gap between text and speech understanding in llms.arXiv preprint arXiv:2510.13632,.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Closing the gap between text and speech understanding in llms.arXiv preprint arXiv:2510.13632,

Reference 5

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:16b7dd2734038ea8d5c09213993e1aaf50b27efe8656651eba9988ce56d55128

Observation a079c6d7-9a04-4d19-af91-1a9c3d0c23f9 · outbound

This paper cites Computer software.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Computer software

Reference 6

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:7f248e79d13562f714789b4c7936b8d38501450491950c7c46cc0bd745136aae

Observation b0032eb0-6e8f-4325-afd3-cb19427e5f9e · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 7

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:e91b4702a902f2bed07ff1a6c33de764ec761da6893d7a2f3825eb1eefc164b4

Observation 2bd2d158-42cf-4b08-ace0-d1447cd11752 · outbound

This paper cites Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training

Reference 8

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:6f297268c5981f2f71a1588c5c7fc3199f8014b7142738af9bbeb0156314758f

Observation faf95e35-bdf7-4818-b930-bcf8ac862067 · outbound

This paper cites Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable

Reference 9

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:4b5803d3193921fdfb5008103b846e05418e539cf4cb6e34b6e805a81860e380

Observation be7a05a0-4339-4a04-b476-d341a4c317a7 · outbound

This paper cites PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference

Reference 10

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:554bcc8e55a1df7715bcd1cc93682590e3ddea08d457afd3232395adc22df392

Observation aba4227f-8510-44c2-9cf7-8f306becb413 · outbound

This paper cites Beyond sft: Reinforcement learning for safer large reasoning models with better reasoning ability.arXiv preprint arXiv:2512.01848,.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Beyond sft: Reinforcement learning for safer large reasoning models with better reasoning ability.arXiv preprint arXiv:2512.01848,

Reference 11

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:cd74a52639bdfe084bfb044b6153a107cdab7630b59e6b93b2f0d7f8a386a829

Observation 5644bc27-0c90-4460-8b7f-13fdffb925a8 · outbound

This paper cites Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization

Reference 12

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:0d80a3557f7cf1e744634670d0fc6a76dfc6ba5a423f669c00ad0830bf65c0b5

Observation 55521aad-c8ef-4217-8da4-4e1e1b466a5d · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 13

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:1463a73716752664a6e631a2b103e40bec8ab58421adaa3d710e5f7e6ccd7d29

Observation 76b4385d-80b2-41e1-8289-d15010078576 · outbound

This paper cites Mitigating the alignment tax of rlhf.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Mitigating the alignment tax of rlhf

Reference 14

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Observation 40a15ea3-c03a-4718-9a26-b2a4e97e996c · outbound

This paper cites Muon is Scalable for LLM Training.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Muon is Scalable for LLM Training

Reference 15

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:fd7d4a54fbf87de81ff91efbe8ec91413bc4dbca4f9547b2561310c3a8a3dafd

Observation 7736c809-eda6-4a2d-846a-f5e47244863e · outbound

This paper cites SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training

Reference 16

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:fd9ef7a915fd4608d57bb22cc87aeb1e70b3eb5f8a1a681a1553dbbc4a430d7b

Observation 390391de-ae92-453a-ba16-d26c9054299f · outbound

This paper cites Preconditioning benefits of spectral orthogonalization in muon.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Preconditioning benefits of spectral orthogonalization in muon

Reference 17

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:6d1f1c53ee232c414e5f380bda800f505bb8e87e7ba6b3beb6a79de392438635

Observation 84cf7589-7af5-4494-9015-535a8b0179a0 · outbound

This paper cites No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces

Reference 18

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Observation ddcbfb9c-1074-440a-ad74-9eefefca9547 · outbound

This paper cites Pointer Sentinel Mixture Models.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Pointer Sentinel Mixture Models

Reference 19

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:3620ab8e2cc7473e22ac8b70f01e3b8c73cd53f4b058b25795e7da22767e534e

Observation 1f5c8f18-14d3-4f5b-a251-fb83a8d614e6 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 20

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Observation 70a01157-f76b-4462-8ca0-12c1ad065f49 · outbound

This paper cites Blur: A bi-level optimization approach for llm unlearning.arXiv preprint arXiv:2506.08164,.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Blur: A bi-level optimization approach for llm unlearning.arXiv preprint arXiv:2506.08164,

Reference 21

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Observation 01af50d3-6af2-442a-80c6-d57f0bc2f4ea · outbound

This paper cites Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs).

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)

Reference 22

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Observation dfb8a17f-185d-4a12-9cea-53a8c1f74f1d · outbound

This paper cites MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 23

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Observation 52e8cd8d-242b-404a-b54b-7ddfd19ba23e · outbound

This paper cites Position: Capability control should be a separate goal from alignment.arXiv preprint arXiv:2602.05164,.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Position: Capability control should be a separate goal from alignment.arXiv preprint arXiv:2602.05164,

Reference 24

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Observation b7d230bf-a130-43e2-8943-47872a7f2565 · outbound

This paper cites Steering llm reasoning through bias-only adaptation.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Steering llm reasoning through bias-only adaptation

Reference 25

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Observation 232716db-44c1-4e52-b906-7d7e68230fba · outbound

This paper cites Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Jieru Mei, Brian R.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Jieru Mei, Brian R

Reference 26

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Observation e9f2f169-1fe4-49f3-9b96-ed8e2a679deb · outbound

This paper cites Low-rank adaptation for foundation models: A comprehensive review.arXiv preprint arXiv:2501.00365,.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Low-rank adaptation for foundation models: A comprehensive review.arXiv preprint arXiv:2501.00365,

Reference 27

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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:91f496b5a774d51bc0504cab45447b478bdc97dce6e1b6bf8fc0a3da61be297f

Observation 92da45d7-1e70-4bae-85bd-dea43198e7d2 · outbound

This paper cites Merging beyond: Streaming llm updates via activation-guided rotations.arXiv preprint arXiv:2602.03237,.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Merging beyond: Streaming llm updates via activation-guided rotations.arXiv preprint arXiv:2602.03237,

Reference 28

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Observation bcc0a25d-8bcb-468a-8db9-8f197ea93d1c · outbound

This paper cites A Closer Look at Machine Unlearning for Large Language Models.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning A Closer Look at Machine Unlearning for Large Language Models

Reference 29

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Observation f79f6af8-d026-4f35-a0cd-278bcafbacf1 · outbound

This paper cites GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot

Reference 30

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Observation ba2ca2d0-f75a-491e-82e3-6d2cc63e97bd · outbound

This paper cites Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 31

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Observation 4b7231da-09af-4be3-a3d2-8fbbb414c8e0 · outbound

This paper cites Hanqing Zhu, Zhenyu Zhang, Hanxian Huang, DiJia Su, Zechun Liu, Jiawei Zhao, Igor Fedorov, Hamed Pirsiavash, Zhizhou Sha, Jinwon Lee, et al.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning Hanqing Zhu, Zhenyu Zhang, Hanxian Huang, DiJia Su, Zechun Liu, Jiawei Zhao, Igor Fedorov, Hamed Pirsiavash, Zhizhou Sha, Jinwon Lee, et al

Reference 32

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Observation 1eb182c2-96ae-4d46-acca-c5a53b99708c · outbound

This paper cites The construction procedure follows (Zeng et al., 2024b).

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning The construction procedure follows (Zeng et al., 2024b)

Reference 33

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Pith citing papers

Observation 0b7ea3f1-8fb5-4385-b6dc-a68ca79d7622 · inbound

SW-$A^2$-Bench: Benchmarking Autonomous Software Agent Generation for Agentic Web cites this paper.

SW-$A^2$-Bench: Benchmarking Autonomous Software Agent Generation for Agentic Web Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning

Reference 1

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