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Paper Citation Record · LEDGER

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts

As of 7 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2607.00371.

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

pith.paper-citation-record.v1
2607.00371 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T15:14:36.946247Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

  • verified exact14
  • verified fuzzy28
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch17

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0da90fe8-bcf8-4777-afab-071772494ce0 · outbound

This paper cites GPT-4 Technical Report.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts GPT-4 Technical Report

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.203292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:c5ef97f1f16fe4bf846f5ad5292c05796b5624559658d076f6f9e954f1291626

Observation cf666db8-3f63-463d-93d7-b3ea28e01c5f · outbound

This paper cites arXiv preprint arXiv:2007.01127 (2020).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts arXiv preprint arXiv:2007.01127 (2020)

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.166537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:310992286c259c1db869703d96f0fc41eb8e4d28bd5a3aff3ff43abaa7ca958b

Observation 69a18589-4d52-48e3-ab0a-070c77acccc4 · outbound

This paper cites In: Forty-second International Conference on Machine Learning (2025).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Forty-second International Conference on Machine Learning (2025)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.150118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:160c43cfc88d4919da214f95d79cd5b6c91c9d2d32c0ccc8defa029381f39a54

Observation 0718b669-124c-4524-a213-43b491798500 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.148258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:079a82ca0e85064fb44200aeff83f776875cf09dac01a1d1c99e776d5ae7e141

Observation aea3447b-b4e4-4ad5-b615-abc7ab612720 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.153138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:3ee35bb36887d32930b504be46be5855caad9c8f1d560fbaaa28324eaffffed4

Observation 56736066-3fa9-442d-899f-6bb118c7803e · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.142175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:66010088191846b310d8c1fee37331f66a73316c51ba8f37c61c6cac6042e65a

Observation 6fa18847-bb28-4598-aaf2-2edc3d4ce6f7 · outbound

This paper cites In: International conference on machine learning.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: International conference on machine learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.147634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:127b080c035177e3a01a2e1c6fc70a6c586c440d9bc54337e4f7e1aef00e12d6

Observation f7661802-bbad-4931-aedb-17a05977ff67 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Confer- ence.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the Computer Vision and Pattern Recognition Confer- ence

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.107478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:c04e4286061a84540ce1692ea6b2a1337528d6007382d5e29e2b0b6873170764

Observation c0e52666-3469-4f8b-b35f-0f7bf8ac2768 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: 2009 IEEE conference on computer vision and pattern recognition

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.132885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:188e8b0c49b06593cd24f46b61f24c53c49d1d76c2010b5b526efcc8845d571a

Observation ce3f230f-17b3-4893-995e-221e078dfe1f · outbound

This paper cites an unresolved cited work.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-07-05T23:51:35.138221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:eae608e1758d657476773229b138799e02c23c0142894a722bab305912d694d7

Observation e82bccbd-634f-4f1e-9c8b-2cd11a5970f4 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.110970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:c3fc89de61d0c6fbad6bf9ea0f294fab3d06ad425abcb355cbdcf1e0705bca52

Observation 2b8ff23a-cb0c-4ff4-8c91-dc7eb392aac1 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.129612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:3b61a621bbac4538f785d5297f0c5eee396d1c93818ebd40fa6fec557b3b6234

Observation aa8dd81c-6d84-4bc7-8fd7-fff15a38c01a · outbound

This paper cites Journal of Machine Learning Research23(120), 1–39 (2022).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Journal of Machine Learning Research23(120), 1–39 (2022)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.135698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:5135501455dfd3dea3207c053227fb45160b5b1711f3c125e1cc8d5d8f2a0dbd

Observation ede901a1-5e0b-40cd-bf3a-0be8d4d97b8d · outbound

This paper cites an unresolved cited work.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-07-05T23:51:35.140062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:ba6b758852626f1928fc6271a5fa35955c8f307b1f100b873410f99767fbd0b7

Observation cdcbb3fd-f2d2-4d0d-8c14-f7e544a7e75e · outbound

This paper cites FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.211739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:8d049a012286d61edc508a866456afb33cf0e9cf7c64feca7267bfb6c3148e73

Observation ba29abff-50d8-482b-a90d-06a37371b571 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.144976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:85591905b5789d50e50107e17cc02ff82a51f640cab75d6724151b0f3b44fc3a

Observation 0d87f049-5fdf-491e-9830-97576817448f · outbound

This paper cites an unresolved cited work.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-07-05T23:51:35.131238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:c764f7f22ce1c02f49e2495ec3e919f77c5fc1a77d3b342048f2fa0e974647a9

Observation 8a6732a4-f581-42d7-961f-d958121ae9e9 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.120461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:5720514eb14293a888c6b297e94accea254c1387475930450c785d1bf4b78462

Observation 1007568e-fcfd-4700-b3f1-3dd3366efc5f · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Scaling Laws for Autoregressive Generative Modeling

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.200647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:6f59c378153bde13e1c0bf5eca84f2ebf2c3b055cd798089c778959b46495fc9

Observation 10d17ca3-b6ea-4b24-aa9c-68fa180359ea · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Advances in neural information processing systems33, 6840–6851 (2020)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.133602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:2af0f99a69b1fe8d64a12a4f1fb622696f7d5d9a3fbeeaa7f434b7af43861833

Observation c6fb7c2b-4dea-4371-bed8-8064f1963e61 · outbound

This paper cites Journal of Machine Learning Research23(47), 1–33 (2022).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Journal of Machine Learning Research23(47), 1–33 (2022)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.116902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:e530a3035390fbce41e0ae8f4451c597273381df92931179257fd34bb284873c

Observation 9ae5a96a-a3db-49d4-889c-e50ef073c28c · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.111654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:3a500c46921a63a37861091f73bdc6118f0dab7de135cdd135a35441d8cf3c66

Observation 3cd88cba-d26b-432c-b42b-8cb220d1a028 · outbound

This paper cites SpectralAR: Spectral Autoregressive Visual Generation.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts SpectralAR: Spectral Autoregressive Visual Generation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.206646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:c6f33112eca76e26dee276a6784be6b0dc464b224fea07d3e9a56f8f492ee2ad

Observation d3db86ac-b3c8-4e45-a7b3-cac73e65b0a6 · outbound

This paper cites Nfig: Au- toregressive image generation with next-frequency predic- tion.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Nfig: Au- toregressive image generation with next-frequency predic- tion

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T15:17:07.160524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:585db6b98fef8031d37794bb6975d08bd68730f0d00e8827fe5830fb72f914fa

Observation ad394153-cb42-4a18-81e1-969d68f7ee22 · outbound

This paper cites Neural computation3(1), 79–87 (1991).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Neural computation3(1), 79–87 (1991)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.114733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:50e5e02c265a477a878389b360c37f1b2012970909676544ea9fd7036e835051

Observation 6d0577c1-f2bb-47c1-bb07-b7dfcc55092e · outbound

This paper cites MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.218280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:115692a78747cb23cc69c44774d191d92ede0a78670cd483c32985e488959c5d

Observation 5ae7bdde-ab16-4d8d-8f21-537151d3134c · outbound

This paper cites Flexvar: Flexible visual autoregressive modeling without residual prediction.arXiv preprint arXiv:2502.20313,.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Flexvar: Flexible visual autoregressive modeling without residual prediction.arXiv preprint arXiv:2502.20313,

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.143257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:bc20222a7ad474b51fe8e199e4a323c195a2040008fc5953f50947467d9baa42

Observation f64a9024-9b81-4c66-a70c-9ad90887a5ed · outbound

This paper cites MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.214080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:6017d45980ff92f64463fd8395140579f8bfa1baa910824281dd62e85ac197da

Observation 949870f5-7041-400a-a349-b69b89502561 · outbound

This paper cites an unresolved cited work.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-07-05T23:51:35.116417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:3dd805f0c2c509800334d876c54218a8a8a50b1a83e9eeda86c6f9ece052a986

Observation 3895f568-1549-46d8-af91-6f092a09c558 · outbound

This paper cites Scaling Laws for Neural Language Models.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Scaling Laws for Neural Language Models

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.194810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:6b8ef138ffbc08763fefb2178174030d77dc82b840c27674dbe4a4ad344c013e

Observation 40cff08e-048b-4631-b0bb-3e340292154b · outbound

This paper cites Auto-Encoding Variational Bayes.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Auto-Encoding Variational Bayes

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-02T15:17:07.223678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:3a19832944670b8a2fa984549d3fde9c7fa5d3379022090ae828e32d58eb56ef

Observation d032bd21-56e8-457f-a405-737142c5b558 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.118379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:f911cfaadfff193d034c2b92520dd2b3c37a74681bfd633b75a8ff3ebe69b315

Observation 600f315b-5472-474a-a8ee-c1576f6bd7b6 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-02T15:17:07.154149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:96d7b91b74fa22176682bebd0acba2b602ce4d0ea9a8410cdb820c00990989e2

Observation ab741e70-0732-48aa-9da8-fe353087baaa · outbound

This paper cites CoRR (2023).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts CoRR (2023)

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.122104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:3195b32cd5f9f041d433785987c031dfac24d4f2cdda2f4adf482e484bff5d11

Observation 991f799b-0381-4d0e-b730-f95f00e2a669 · outbound

This paper cites Advances in Neural Information Processing Systems37, 56424–56445 (2024).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Advances in Neural Information Processing Systems37, 56424–56445 (2024)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.131522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:686f4839218ce92e3b2fbd403ccda8127a02d2daa84e498ebf9b45e787ea6a60

Observation d8be1fea-6bcb-401a-bc7d-e3da85105ca0 · outbound

This paper cites ImageFolder: Autoregressive Image Generation with Folded Tokens.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T15:17:07.209220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:f04f42b49ae85dc4e17d63bd18db78b86bebdd9fe46787486081a00301968376

Observation 8ae2911c-9309-4785-9cb9-92a70293b402 · outbound

This paper cites Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.220706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:4d1c7519844a49c70af870b7b4b6985704c6272cf5d70f24a0c793611a6e8785

Observation 37472be2-0fe0-4161-b0ac-8e34158157a9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts DINOv2: Learning Robust Visual Features without Supervision

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.178639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:7ed4421250b841d1fed6548c9a82963bd56e517bbc2e3bc4483e8d98698c9ec1

Observation babc43c3-2653-46cd-b273-e9fa7cb8192a · outbound

This paper cites Next Patch Prediction for Autoregressive Visual Generation.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Next Patch Prediction for Autoregressive Visual Generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.176042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:5294adb05a45142a5bbf72351f4ac75670fd170e80446ed3add0b3a3a8055fb0

Observation 207feed4-39c0-4f03-8f33-5d1d1f5a90b2 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.163300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:cd3d93669f40a872d8c868a3be2576ab765901d18aaf54587def98df7f4bc0d7

Observation b18c095f-1f3c-4d31-b3af-118d0ebb93a1 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.129432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:61a4fa5c0ef74803124e17aae0616d7305968cbce838e896f3eefd00f9badeab

Observation d4632558-bf4f-466b-9ba3-2c122f0fc9f8 · outbound

This paper cites Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T15:17:07.226058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:8f22ad264628107a19a10233b949d4c36fb52131fabde598977765fa4765e6e9

Observation ba8daa83-1d70-41b5-8af5-2736ca2bec97 · outbound

This paper cites an unresolved cited work.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-07-05T23:51:35.107626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:e19a8699240d0710bafb0e17c7f0a38191eccd311e5102ad286079257e6bd04e

Observation 2b60d546-2409-4c87-b5e1-642e3a07df26 · outbound

This paper cites an unresolved cited work.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-07-05T23:51:35.155751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:dc2c23354cfc533827dbeaf04966cfe5e1284247b0f43e783fa52dc0ec91c548

Observation 1adba682-468c-46ca-a909-4bb382608da8 · outbound

This paper cites DINOv3.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts DINOv3

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.189198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:2eb91a7a5794128dcc75345ed3bc4d854f24a7300de470a67165b03ea4685d8b

Observation 02cd7beb-b6b7-435b-91d7-f15ea82face3 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.157550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:eccfe4ae190d0370859e2fb9312836833241141e5c9f0adbeb82698848ffcb7f

Observation 59f485e4-d309-4194-972f-f85e107e4f8c · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.228956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:561a969e8d7f554030243fcbec9f453ac3bfcfad40ffca7887992073090e7907

Observation aff798b5-a04d-4372-acd8-5d01ef02a84a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Gemini: A Family of Highly Capable Multimodal Models

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-02T15:17:07.163852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:c05e7eb3868105648300f0f8528d8d38462ec9c2f283e513c5b63850803d2d03

Observation 1e349fc1-e838-4f7a-b2f3-461d385d7752 · outbound

This paper cites Advances in neural information processing systems37, 84839–84865 (2024).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Advances in neural information processing systems37, 84839–84865 (2024)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.158202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:7bb0488e78a0d89b8f63b2529c65b194c9e32641068719054d7f426cde7e51df

Observation a66bdd9a-1f26-441d-9db3-a18760906caf · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts LLaMA: Open and Efficient Foundation Language Models

Reference 50

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.145745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:49216083c79ee36e09d0968c18fe1f6e244bb7a1aaf4e37eae1774b40dd09600

Observation 72d3fdec-44ed-4048-8eae-d7922753960f · outbound

This paper cites In: International conference on machine learning.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: International conference on machine learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.091878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:1eebd38871ed7653b192c280607b0faa89b639cc18d6c633d905414df5fed0ef

Observation ed567059-fc87-40ae-bd19-19a99085298a · outbound

This paper cites Advances in neural information processing systems30(2017).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Advances in neural information processing systems30(2017)

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.136788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:031a0244cc0ef4ebd396796fa33b17f68d5e16ba4fbc805072f2767971e54217

Observation 68620224-e4ee-4cd3-bb48-694d24c2ff89 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Emu3: Next-Token Prediction is All You Need

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.169836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:22d29d1014c9dd7113b80b2758d57fa63f7e78b654676ecce3c875e2ccb0e8c3

Observation 16b77313-d12f-43f8-8501-e6fd875a1fb1 · outbound

This paper cites an unresolved cited work.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-07-05T23:51:35.095678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:0c35ed76f3f9ac470101e0562dbdc23b1dd0ccdbe12d1b0dae6173f830eeebd3

Observation 98d73f5a-6053-4847-af1b-be740fde94ce · outbound

This paper cites MaskBit: Embedding-free Image Generation via Bit Tokens.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts MaskBit: Embedding-free Image Generation via Bit Tokens

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T15:17:07.172588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:323f0ae3c2f60106cda1485b9409f0e823d1287626239f6492c803942cbfc9da

Observation 782b57d7-bd75-4070-ad73-bf53461ea7df · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.186167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:1579f107e7afa7a18d063a6d234eef1e6542c39af9cd9864b02cce71c31e28a1

Observation 90abbd2e-4ff1-4df9-bbd1-06862cc69da7 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.089971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:b34791f65a770a2cf8d504bca3b6533c4400edb29c1ebaf4f8843b81cfc1594f

Observation d55a114d-1b63-4170-803f-ac8b1b032502 · outbound

This paper cites generation: Taming optimization dilemma in latent diffusion models.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts generation: Taming optimization dilemma in latent diffusion models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.088037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:2073aaf6e8cdc8314a1e4de6ffed8676e880eaa1ad8347c29ed92e337c38ff26

Observation 18844e57-c060-4f55-9725-28722368d38c · outbound

This paper cites arXiv preprint arXiv:2503.05305 (2025).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts arXiv preprint arXiv:2503.05305 (2025)

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.151588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:fa5850225d5691b8ff4722dcbb5f66dce107b69d3f8b629358ee63dc2a84efa9

Observation 639484ea-1c7f-48ba-b963-690f72cd14b4 · outbound

This paper cites In:ProceedingsoftheIEEE/CVFInternationalConferenceonComputerVision.pp.18431– 18441 (2025).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts In:ProceedingsoftheIEEE/CVFInternationalConferenceonComputerVision.pp.18431– 18441 (2025)

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.126296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:4d006309157b8614e353d6354280d58710854f3d7c7384795148ea3992b88470

Observation 38dcf045-86cd-49ab-9968-62bdf04a5513 · outbound

This paper cites Advances in Neural Information Processing Systems37, 128940–128966 (2024).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Advances in Neural Information Processing Systems37, 128940–128966 (2024)

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.160670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:dfebe7fe127919702014c4f7aa92e148f86577c1ff997a850465f01b40706703

Observation 5d0ad53c-1a40-4e25-b827-7db0fea834b3 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 62

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:17:07.181092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:d6a464fe782dd526f20cae6cc4dcdb2f8ceb39ed21f490d91927168a1c207ad6

Observation c8a8d39e-8772-4fd9-bcc3-f21248a45d59 · outbound

This paper cites arXiv preprint arXiv:2505.12742 (2025) MEPA 19.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts arXiv preprint arXiv:2505.12742 (2025) MEPA 19

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.197502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:2252e5af1b932307bf99c070188aaea6b47ae60d30b8ebe8fdb6fc9e8ff38cfc

Observation 47074686-6bab-4358-a2e6-8ceb559c8c0a · outbound

This paper cites Advances in Neural Information Processing Systems35, 7103–7114 (2022).

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Advances in Neural Information Processing Systems35, 7103–7114 (2022)

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T23:51:35.113065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:db7ced53e8afed24cf067c31bb3ab551221326bcc434944c8795f58a22182912

Observation e4e52c5d-0910-439e-b9d3-a27e11303402 · outbound

This paper cites VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T15:17:07.191767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:6cf0490289578222838ed007d374a680d06d5043161e712a586a2add2bb162bc

Observation 543a92b1-cf1d-4faf-8ffe-6e152c431736 · outbound

This paper cites Taming Sparsely Activated Transformer with Stochastic Experts.

MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of Experts Taming Sparsely Activated Transformer with Stochastic Experts

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:17:07.183793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T15:14:36.946247Z digest=sha256:8e19892d192109bbf22bacf6817b6eb757792fff74be759c3cba77ed5bc864a7

Pith citing papers

No inbound Pith citation observations are available.