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Paper Citation Record · LEDGER

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

As of 23 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 15 inbound Pith citation observations for arXiv:2501.10064.

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

pith.paper-citation-record.v1
2501.10064 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:28:58.261039Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:21:30.513108Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:01.064614Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved20
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 370ce760-c67d-4bf1-9f0f-34075380cee5 · outbound

This paper cites an unresolved cited work.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e70ee6c8-6c8d-49db-aec9-8d9f1ce4cd88 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 04a7af8f-42ad-4367-8dee-68b001102a32 · outbound

This paper cites Rethinking lossy com- pression: The rate-distortion-perception tradeoff.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Rethinking lossy com- pression: The rate-distortion-perception tradeoff

Reference 3

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c517795c-cb6a-42db-a72b-ef1decd5f64f · outbound

This paper cites Ge- nie: Generative interactive environments.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Ge- nie: Generative interactive environments

Reference 4

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raw_fallback, observed 2026-08-10T19:28:58.918536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.061091Z digest=sha256:c9a24d39e58eae6f034fd134e3599297726803292961b68f60a1d50e43823592

Observation 2a26866d-053e-4fd3-aa00-cc7a7de8f328 · outbound

This paper cites Maskgit: Masked generative image transformer.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Maskgit: Masked generative image transformer

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7068295f-b504-4da6-8705-ba79c5bccd84 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Imagenet: A large-scale hierarchical image database

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.070858Z digest=sha256:b756900c349a6974689ca6ae47e2a409022c2542379bee569f04af05c4595e01

Observation 305ff2cf-ece3-4f25-972b-7b653d234393 · outbound

This paper cites Diffusion models beat gans on image synthesis.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Diffusion models beat gans on image synthesis

Reference 7

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raw_fallback, observed 2026-08-10T19:28:58.876898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.076102Z digest=sha256:525fc4681002e7d63fa03e438025f33ea118f53cbf83d6c592acac6c9cad7dc4

Observation 1cff31be-1452-4071-a6e6-f38d6d482ef0 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.081179Z digest=sha256:cb98bc7446b5acd1b0b5fa8a393d617075dda2bde9c01d1577800c28f99c1e88

Observation 42dc1459-c80d-4ff9-b7b9-1aab8c86629b · outbound

This paper cites Tam- ing transformers for high-resolution image synthesis.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Tam- ing transformers for high-resolution image synthesis

Reference 9

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raw_fallback, observed 2026-08-10T19:28:58.851153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7ea9df8e-2e8e-4286-ad77-dbb42b5ae2ab · outbound

This paper cites Large-scale Unsupervised Semantic Segmentation.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Large-scale Unsupervised Semantic Segmentation

Reference 10

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local_arxiv, observed 2026-08-10T19:28:58.435612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cc851ca9-5104-4526-9fd0-ea5641e7ded3 · outbound

This paper cites Making LLaMA SEE and draw with SEED tokenizer.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Making LLaMA SEE and draw with SEED tokenizer

Reference 11

Resolution
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raw_fallback, observed 2026-08-10T19:28:58.834743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.096331Z digest=sha256:685cdbcfdc4faea288d7981c484f7523bd2b9a9d3c24e8879b09bc9d461b7956

Observation e207934c-b947-4cb3-bb9a-22ac198d1170 · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.100436Z digest=sha256:bf222696365a6cc01e96bb755be61dbebdede63b0ea1d864ea9c44446b275bd2

Observation 2ff9fe7f-b1b0-467c-8ca3-363e16cb127c · outbound

This paper cites WebP: Compression techniques, 2024.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression WebP: Compression techniques, 2024

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.105823Z digest=sha256:24c5b12efb5da267c7468b92d7bc46456c876597b5cda3255af22cf820bf8a3b

Observation 0b043491-087b-4e09-8619-226227bc7f6d · outbound

This paper cites Masked autoencoders are scalable vision learners.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Masked autoencoders are scalable vision learners

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.110977Z digest=sha256:bf7cf00540a785f8a99516b95cefcfcd8b4c908e1b28df7f323fa5a836e1e5f1

Observation d2e2dfcc-3df6-4fae-9100-211e496871b4 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.115797Z digest=sha256:6f7af3f3e52ef291957349ceac49a07a95e9867dffb1ec3cfab5e61cf90b05a5

Observation b3eec495-8312-4ef2-83de-e8a6358c5102 · outbound

This paper cites Ultralytics YOLO11.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Ultralytics YOLO11

Reference 16

Resolution
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raw_fallback, observed 2026-08-10T19:28:58.777579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.120450Z digest=sha256:4d24390a864f5ba924cbca29389956fcaa7b805979d7223a95e50189c751a64e

Observation ad1c8b9d-08f8-4bb7-9492-944b99c9ed1b · outbound

This paper cites Kingma and Max Welling.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Kingma and Max Welling

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8c86ae1f-1667-486e-abc8-411cef88c66d · outbound

This paper cites Stochastic bottleneck: Rateless auto-encoder for flexible dimensionality reduction.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Stochastic bottleneck: Rateless auto-encoder for flexible dimensionality reduction

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.129957Z digest=sha256:4191eb6b265677e799ff83e425783bfda76768fb7200004d91f71f657972ebe0

Observation 0a068798-605f-4a82-9e4d-6e82e1e6e807 · outbound

This paper cites Sentencepiece: A sim- ple and language independent subword tokenizer and detok- enizer for neural text processing, 2018.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Sentencepiece: A sim- ple and language independent subword tokenizer and detok- enizer for neural text processing, 2018

Reference 19

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raw_fallback, observed 2026-08-10T19:28:58.726321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dbb8eba7-4511-4e3a-aee3-6d539b1bae41 · outbound

This paper cites What matters when building vision-language models? In The Thirty-eighth Annual Conference on Neural Informa- tion Processing Systems, 2024.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression What matters when building vision-language models? In The Thirty-eighth Annual Conference on Neural Informa- tion Processing Systems, 2024

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1595b933-174b-49af-b1db-4a1c0a62e02a · outbound

This paper cites Lawrence Zitnick.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Lawrence Zitnick

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.143772Z digest=sha256:2cbe5cf9a2cdfc80c87fccb0e045c577e6692e9e5cf9ed978770725790d11173

Observation cdf40512-6da8-42f8-af52-f36e725b0889 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.152857Z digest=sha256:9985c76e25c27b5c8e020bd76afe8d6b1781e065b76bc5bf9d787b515e93aa32

Observation c4b34861-8984-442d-b7eb-dea966ec67de · outbound

This paper cites A convnet for the 2020s.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression A convnet for the 2020s

Reference 23

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raw_fallback, observed 2026-08-10T19:28:58.663220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 26cc9c35-b5be-4cc7-ac8b-0081a0a65547 · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 24

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Unavailable: canonical work link unavailable.

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Observation dd726dce-bc93-4793-90c0-2f19fb447b01 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Learning transferable visual models from natural language supervision, 2021

Reference 25

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Unavailable: canonical work link unavailable.

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Observation dd68d007-ee1a-4996-b061-3a8193d2952d · outbound

This paper cites an unresolved cited work.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.173027Z digest=sha256:344f381a4a7e9cab12b2f0f170e27e1df7f1c8806bd3a96e543760e880d36301

Observation 81529b30-811f-4258-a8df-26158ed83f5d · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.177884Z digest=sha256:cab21f72f2d3eff27fe824a8e08b7897f2308ef582a71af99cba41bee0c9c139

Observation 165e9893-cb6b-4f87-b572-da494620aa2e · outbound

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

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 28

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no resolver link, observed 2026-08-10T19:28:58.183225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.183225Z digest=sha256:68944817e58265245e498280330c530a13d9e80b6638700954d9b65a3904185e

Observation 3ba2820a-5bd5-417c-91fe-98852ae1fcba · outbound

This paper cites Chameleon: Mixed-modal early-fusion foundation models, 2024.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Chameleon: Mixed-modal early-fusion foundation models, 2024

Reference 29

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raw_fallback, observed 2026-08-10T19:28:58.621929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.188854Z digest=sha256:122f9e3a9bbf6ca3ff132ab555d428618cc32b68dd495deaaa34bf7bf6584a5d

Observation 844bf118-c81d-4a8f-806b-05ba42e97ec3 · outbound

This paper cites Neural discrete representation learning.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Neural discrete representation learning

Reference 30

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raw_fallback, observed 2026-08-10T19:28:58.604974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.194900Z digest=sha256:f49e599d85f0c0209a8562fef1377ec7aca1e13fd97718116e03f5beb22e9d7f

Observation 301edb6f-e257-4bce-9ed0-d682f2e57f6d · outbound

This paper cites Attention is all you need.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Attention is all you need

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.200748Z digest=sha256:b99b5e57280575b40847e29d0d10f49731e32e02e85494f24d146009ae46ddcc

Observation 4cb5d973-5e54-4cfc-85cd-4550fbabaaf4 · outbound

This paper cites Phenaki: Variable length video generation from open domain textual descriptions.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Phenaki: Variable length video generation from open domain textual descriptions

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-10T19:28:58.578528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.206198Z digest=sha256:f7a082cd6add21ed05b54ee40bf7f5b4fb928b3ce952b0fa58fa256fe1fadb63

Observation fb71561f-49e4-4bea-9cd8-c146cf0b45e3 · outbound

This paper cites The jpeg still picture compression stan- dard.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression The jpeg still picture compression stan- dard

Reference 33

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raw_fallback, observed 2026-08-10T19:28:58.559698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.210656Z digest=sha256:04de5227bdfcf7bdbe68c9c097f105c13740aa4968e865d1516aa79c552a7e84

Observation 0282cf07-166c-499f-8aac-f34ba020e292 · outbound

This paper cites OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.215804Z digest=sha256:05f08a9b9771b9aef1e1351a7540e0c0b584d7f641e3b51312404e304da3b5d9

Observation 867cba14-8726-4562-9a86-eba540ec0fea · outbound

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

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Emu3: Next-Token Prediction is All You Need

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.221272Z digest=sha256:8cecdc4b70cbd2726c6d617cfbf6d25989a566c14b2416c16837c6458006fd84

Observation 0beb055d-7379-4625-a31d-071d799d52ff · outbound

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

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression MaskBit: Embedding-free Image Generation via Bit Tokens

Reference 36

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unresolved
no resolver link, observed 2026-08-10T19:28:58.227039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.227039Z digest=sha256:b1b0d6092f6fd42e0268e474e122f492dbd5e8cca6d63509fca48adf4fbf51a1

Observation 91099387-a946-459e-a3de-710aec1e6109 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 37

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no resolver link, observed 2026-08-10T19:28:58.233911Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T19:28:58.233911Z digest=sha256:e518ef6fac52d9934433fe23a844afa8c3709906e71ac187dbb683d3d3f4a31b

Observation 1435f5f7-a910-4f4e-983c-1c2af931e6bc · outbound

This paper cites Videogpt: Video generation using vq-vae and trans- formers, 2021.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Videogpt: Video generation using vq-vae and trans- formers, 2021

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:28:58.540912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.239565Z digest=sha256:68e64d6a793aec9764f863630c0e130e0b1ab7dde461d17b8bfc54a5b2ef464a

Observation 6f5aa150-9cae-43ea-9ead-983401ffb4f4 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Depth anything: Unleashing the power of large-scale unlabeled data

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-10T19:28:58.524210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.244766Z digest=sha256:db4734813e65730266bf165b7f7b2179c34e34e923a9cd685a0f4daa86162ba3

Observation d747f6d2-b6af-4d1d-befd-a35b7174db29 · outbound

This paper cites Language model beats diffusion - tokenizer is key to visual generation.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Language model beats diffusion - tokenizer is key to visual generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:28:58.507420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.249912Z digest=sha256:546c7006dbd7b8808f88970bb67030c60338f57f42ee2de9d533b47af15172c9

Observation a8b56e36-2413-4ea1-b807-812ebe5ca58f · outbound

This paper cites An image is worth 32 tokens for reconstruction and generation.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression An image is worth 32 tokens for reconstruction and generation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:28:58.489736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.255582Z digest=sha256:9ef637b4d5208c22b592edfbe4558ac64773532d760c87cd999656c271e32e64

Observation 4b568948-816b-4e34-a5f9-7888ff18549d · outbound

This paper cites bookshop.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression bookshop

Reference 42

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T19:28:58.472199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T19:28:58.261039Z digest=sha256:b19cdf3c00bc1306f3f519deae1e8f4510c1ca3dd6dd92c82c0a062266daab9f

Observation 34033e13-184e-452f-af78-2f1249fce038 · outbound

This paper cites an unresolved cited work.

One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression Unresolved cited work

Reference 2014

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unresolved
no resolver link, observed 2026-08-10T19:28:58.148270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:58.148270Z digest=sha256:a48a8a5e636c3523297fed3dd16d12817a3ad86e3c5c2b593ffde4c9c2ce9deb

Pith citing papers

Observation 73b3651f-b484-44e8-95f0-3b96b46efae4 · inbound

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning cites this paper.

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 77

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unresolved
no resolver link, observed 2026-08-15T22:21:30.513108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:30.513108Z digest=sha256:7802d3e4ea30792ed4a1d33e969dd51200261447b6b83651b541f15ebcb02ef3

Observation 7e3e2b97-17eb-438e-b413-b45b096a0f81 · inbound

Single-pass Adaptive Image Tokenization for Minimum Program Search cites this paper.

Single-pass Adaptive Image Tokenization for Minimum Program Search One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 18

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unresolved
no resolver link, observed 2026-08-06T18:35:32.299466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:35:32.299466Z digest=sha256:3a5a23b996a37fea82d55b78423cc4f44b27c5825225b6762e196df37832967c

Observation 9871b1da-2f25-4bbc-be23-ef4791e4e823 · inbound

Decoupling High and Low Frequencies for Faithful Image Generation with Fine Details cites this paper.

Decoupling High and Low Frequencies for Faithful Image Generation with Fine Details One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 35

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unresolved
no resolver link, observed 2026-08-05T05:27:34.280620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:27:34.280620Z digest=sha256:31e01a1c4a0f6736f794f2949f8a608f8147c27d3d0161dd6c45229fffda5cee

Observation 695d0a6e-2281-4dd6-ab63-f5ba2459e7b6 · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:05:59.641424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:19:22.543462Z digest=sha256:e4ad6e4284cd01fa92a374c93a5209898d37f947f616213fe0272b79c843eca4

Observation e67e0947-c203-4a32-9aa0-da61d3c57a38 · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T16:35:03.300652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:35:03.300652Z digest=sha256:3679f69868d00644316eafd1194e0e978ab2e1be30658a97cf5cbfd88763c51c

Observation 09a20df6-e5ce-4cdb-9e50-3408b6da4035 · inbound

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations cites this paper.

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:11.676182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:de10b5e1cb0a5664432172ef603a630cda53c040a72d66a426067979d14c2376

Observation 60dedc09-6cc4-4ad2-ac7a-c128482928c1 · inbound

Autoregressive Visual Generation Needs a Prologue cites this paper.

Autoregressive Visual Generation Needs a Prologue One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:46:10.848574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T13:52:42.834440Z digest=sha256:eecbd1eaba678cf0556a2e85742957742aca92620f79388bfd541e8d07b2e02e

Observation 11a51bbd-a48b-4da2-8acf-8864ec206d48 · inbound

Autoregressive Visual Generation Needs a Prologue cites this paper.

Autoregressive Visual Generation Needs a Prologue One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:45:08.397033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T23:36:51.148162Z digest=sha256:468960f56780056cae10aa541a2aa5b8ad201e7cd76967416cbcc674d497eeb4

Observation 28ed9a64-345d-4177-b51e-004c01d54576 · inbound

Vision Foundation Models as Generalist Tokenizers for Image Generation cites this paper.

Vision Foundation Models as Generalist Tokenizers for Image Generation One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.539717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T11:01:24.738195Z digest=sha256:389de5ecc3768c95abfb432873b4974effce4d4e74f24ce35b312821a4c22248

Observation b20a0534-c485-43ff-a465-aafb384dbf04 · inbound

Structure over Pixels: Learning Variable-Length Visual Programs cites this paper.

Structure over Pixels: Learning Variable-Length Visual Programs One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:13:49.008747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T18:06:01.684713Z digest=sha256:ca18acb82217adbba58010d6495daf3e0565c21a6934713de7bd72f151990408

Observation bf62f682-71b4-4294-a7a4-0dcc68b4668b · 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 One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 101

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:36:27.608527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T10:44:24.318786Z digest=sha256:2fbd2d2657354d6aa144b54b563ab6753af75275804e5a870674d0d7d6e0259d

Observation 136e92b0-881f-4a83-8992-bc90cbf09b3c · inbound

ChannelTok: Efficient Flexible-Length Vision Tokenization cites this paper.

ChannelTok: Efficient Flexible-Length Vision Tokenization One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:44.343807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T07:09:25.049534Z digest=sha256:2f9cf798f104a1181ba13bda7fc997296c406bda9066b9d77a43c2e3019e48cb

Observation 3ad69d85-c990-4e8f-a62e-9096c18547e1 · inbound

Balancing Image Compression and Generation with Bootstrapped Tokenization cites this paper.

Balancing Image Compression and Generation with Bootstrapped Tokenization One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:46:55.417548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T03:07:33.054518Z digest=sha256:2c68bd387f581d25801e59765d84b775587c02f7011c3a35bfb8c57e7ad6350f

Observation c1854f04-3cf3-4ec4-bc83-31b688f58be7 · inbound

AdaTok: Self-Budgeting Image Tokenization with Quality-Preserving Dynamic Tokens cites this paper.

AdaTok: Self-Budgeting Image Tokenization with Quality-Preserving Dynamic Tokens One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:27:09.100397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-27T22:43:09.489524Z digest=sha256:22d18ebd07454322b73c9c687507baaf217a3abceb3c9f502c319e9057d15df1

Observation 457f1a2e-ae10-4654-a91a-29724d791bd8 · inbound

Semantic Allocation in Ordered Bottlenecks: Predictive Residual Inference for Visual Representation Learning cites this paper.

Semantic Allocation in Ordered Bottlenecks: Predictive Residual Inference for Visual Representation Learning One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T17:40:01.066136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-25T23:27:22.496307Z digest=sha256:96321d213228fb6c8d5c9f0f7ada0dc444965dff087d5d0dea5c42caf66f7ffd