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Paper Citation Record · LEDGER

Spectral Image Tokenizer

As of 14 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 6 inbound Pith citation observations for arXiv:2412.09607.

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

pith.paper-citation-record.v1
2412.09607 v2

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:57:03.860695Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:47:49.214382Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T12:02:16.749648Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55f03b1f-2b98-45f3-821d-b566219d02e3 · outbound

This paper cites Im- proving image generation with better captions.

Spectral Image Tokenizer Im- proving image generation with better captions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:03.647779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:57:03.647779Z digest=sha256:05941e4131b1b1d23f8d8307f326ef763b8f6147471c24384f6fe80a2df6e6f8

Observation 5a368481-7ef5-4814-b959-595c8834b05b · outbound

This paper cites Multi-Stage Vari- ational Auto-Encoders for Coarse-to-Fine Image Genera- tion, page 630–638.

Spectral Image Tokenizer Multi-Stage Vari- ational Auto-Encoders for Coarse-to-Fine Image Genera- tion, page 630–638

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.466250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.652564Z digest=sha256:5d4f8785a60e371a8fbaa1b08db737bc84064f2aaca54fc748baa181c54c8fb4

Observation 16898aeb-e834-48f6-8f95-38cc09c2a26f · outbound

This paper cites an unresolved cited work.

Spectral Image Tokenizer Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:57:04.456181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.656008Z digest=sha256:9940c8cadbdbefceac6ca6a4961208f652a062898f524b9ccd2fa10de4f4059f

Observation 7aa0aa0d-1adc-4481-8dae-d7f129fd6363 · outbound

This paper cites Freeman, Michael Ru- binstein, Yuanzhen Li, and Dilip Krishnan.

Spectral Image Tokenizer Freeman, Michael Ru- binstein, Yuanzhen Li, and Dilip Krishnan

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.447101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.659507Z digest=sha256:98e69e2597fef408a469d9bb68f32e169a60226d5dbd011869dcfe1867fd9928

Observation 3f899c35-97ce-4a39-9c46-1788074e903b · outbound

This paper cites PixelSNAIL: An improved autoregressive genera- tive model.

Spectral Image Tokenizer PixelSNAIL: An improved autoregressive genera- tive model

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.437630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.663359Z digest=sha256:61c788921be44a42f1e09d85611cedaf69b94627db2f858748d8f552386637e9

Observation 4a4eef94-8be9-42be-8b31-ed35f30bec9c · outbound

This paper cites Pali: A jointly-scaled multilingual language-image model, 2022.

Spectral Image Tokenizer Pali: A jointly-scaled multilingual language-image model, 2022

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.427820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.666724Z digest=sha256:cdf50577608e82bcfe1ba509192c0912ef9fe52d167ebec2b7b2a476f281d4a0

Observation 94451b92-a22f-46b9-8089-035b4f2d8ac4 · outbound

This paper cites an unresolved cited work.

Spectral Image Tokenizer Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:57:04.417863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.670486Z digest=sha256:041b31cecfc70465de0d1cdc8849b53d3eddee3de83f16b29af89283cba3538b

Observation 283aa791-cb3b-4343-b074-afeab918d9c3 · outbound

This paper cites Cohen, Ingrid Daubechies, and J.-C.

Spectral Image Tokenizer Cohen, Ingrid Daubechies, and J.-C

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.407844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.674163Z digest=sha256:070d4917b67dbb7afdc5933de9ff1802c061e90aba0084c77dc766dbef5ac70e

Observation 8c641e49-ae56-466a-ad9f-8e741217759f · outbound

This paper cites Ten lectures on wavelets.

Spectral Image Tokenizer Ten lectures on wavelets

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.397618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.677460Z digest=sha256:2d6fbda73069f4c1d124fc6c877f28796e1407f0227d5d002a526c5924c5b8c5

Observation 36ec0c96-cee3-4859-b5be-90b3684ebb2f · outbound

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

Spectral Image Tokenizer Imagenet: A large-scale hierarchical image database

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.385786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.681549Z digest=sha256:147f866ead9c5b48063e4f4e5919a541efc1ff926f6c38c07ab11a84d4069d56

Observation 4b9df0b6-4fb9-47e1-88be-e681cfb1f2bd · outbound

This paper cites Diffusion models beat gans on image synthesis.

Spectral Image Tokenizer Diffusion models beat gans on image synthesis

Reference 11

Resolution
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raw_fallback, observed 2026-08-11T16:57:04.375364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.685971Z digest=sha256:b09d75d97d1dcb0c27f8dfece533081deedec886dfd0cb76507b3e23cf83f84f

Observation cb3a3ddb-f581-41b4-8b8f-11bde44655fd · outbound

This paper cites Diffusion is spectral autoregression, 2024.

Spectral Image Tokenizer Diffusion is spectral autoregression, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.366223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.689213Z digest=sha256:3b6e2e87bafc80377ac417c1250d5f5f1e536b761786a94dd7d13dcf169b6f6d

Observation def6de8b-d0ca-435b-a165-6038bb537236 · outbound

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

Spectral Image Tokenizer An image is worth 16x16 words: Transformers for image recognition at scale

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.356385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.692859Z digest=sha256:fd22fdb2f643557f72dc1e649dc838b91f2c718f93061aecbcd2ad7bb9f76898

Observation 5de94bba-4f3c-4975-adc0-1fc2f6579be8 · outbound

This paper cites Quantised global autoencoder: A holistic approach to representing visual data,.

Spectral Image Tokenizer Quantised global autoencoder: A holistic approach to representing visual data,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.345740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.697268Z digest=sha256:4c031acd7b766a672aeef89ae21ffc3affd703729348b6dafa24fb8280872931

Observation 2e295c33-e47f-4ffc-b8e7-56d1f1745044 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Spectral Image Tokenizer Taming transformers for high-resolution image synthesis

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.334560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.700666Z digest=sha256:1419cafe8c59e7c33cc18c5901c5862c98f996e687d420f402c1536469afa775

Observation 4303824c-f6c2-4d36-b804-0c98e13318da · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis, 2024.

Spectral Image Tokenizer Scaling rectified flow trans- formers for high-resolution image synthesis, 2024

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:03.704240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:57:03.704240Z digest=sha256:14b704bcb25ab55cab5fd841acc629709f748126a1c6845cd32226b2b8f9b35a

Observation 25b48863-b238-48dc-9672-770010f7aec0 · outbound

This paper cites Swagan: a style-based wavelet-driven generative model.

Spectral Image Tokenizer Swagan: a style-based wavelet-driven generative model

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.317802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.707532Z digest=sha256:ba69102e8deb5b392adf81d10532c4daeee4aa702f9040ee844377f47673f297

Observation 5bce3051-a93c-42ce-90f9-b31a58773003 · outbound

This paper cites Susskind, and Navdeep Jaitly.

Spectral Image Tokenizer Susskind, and Navdeep Jaitly

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T16:57:04.306159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.711241Z digest=sha256:92e0f9ae92b7faa4b3a1c1b84ee8fb02b8aa8554f9b330d5a960f152d58f25e7

Observation 75535259-de22-423f-bd24-eed891de4ed7 · outbound

This paper cites Learnings from scaling visual tokenizers for reconstruction and generation,.

Spectral Image Tokenizer Learnings from scaling visual tokenizers for reconstruction and generation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.297426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.714371Z digest=sha256:0ca1a54c747c2deccb66b2e0a8d708e9dc2fc73b8a28d0ceb1a1463ad92e43a8

Observation 9be2563d-3fc1-46b8-b98c-f55141e84c71 · outbound

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

Spectral Image Tokenizer Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.287392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.718612Z digest=sha256:94c2e99f92ee3ebba0c650e8f1ca9251738b457734a63f46e544b476d02eb34b

Observation 2d0c1cf7-bf88-4230-be80-0f80f2e2c8b7 · outbound

This paper cites Classifier-free diffusion guidance, 2022.

Spectral Image Tokenizer Classifier-free diffusion guidance, 2022

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:03.721633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:57:03.721633Z digest=sha256:54332cb42f80b71e6d1231c4bd534f5c628b1a020f80cc94d8d48d3c2a459493

Observation 22cf7864-6203-46e7-abb8-4475a18bd446 · outbound

This paper cites Towards accurate image coding: Improved au- toregressive image generation with dynamic vector quantiza- tion.

Spectral Image Tokenizer Towards accurate image coding: Improved au- toregressive image generation with dynamic vector quantiza- tion

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.271130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.724438Z digest=sha256:ae32864d2a0ff26b9c1dcf5d69073fa4167800e11abb4c7320fe1561fcc3c53b

Observation 0e83f9f3-0354-4436-a6ea-2334e5c1aadd · outbound

This paper cites Imagen 3, 2024.

Spectral Image Tokenizer Imagen 3, 2024

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:03.727685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:57:03.727685Z digest=sha256:1f99f5155c2900559afae8140871f73e854938bf8c3a7df322dc2c0341cb4bec

Observation 3ed52aca-618d-4734-9411-038d3bb36f07 · outbound

This paper cites Progressive growing of GANs for improved quality, stability, and variation.

Spectral Image Tokenizer Progressive growing of GANs for improved quality, stability, and variation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.255403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.730777Z digest=sha256:4f8b5278802d2fcafc912a002681faef8ca80de1c0ee6efbe19d34a0db3d2726

Observation c58b4d4e-a8b4-4cdc-b3cb-5ba0493d30fd · outbound

This paper cites Sinddm: A single image denoising diffusion model.

Spectral Image Tokenizer Sinddm: A single image denoising diffusion model

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.245365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.734636Z digest=sha256:12468b2e38a3f4e38e59242c859d9e45daee8087d20eff6d73dbfc4a2f86bfd1

Observation 29cb18e0-8324-47f8-af93-f724724537ab · outbound

This paper cites Autoregressive image generation using residual quantization.

Spectral Image Tokenizer Autoregressive image generation using residual quantization

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.234462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.738343Z digest=sha256:9e21f8c4a9493eb81eef99ee4319b21c8c900a0c08a50683305c4cd4debaed92

Observation e93e1fae-9755-429d-b469-dd4e74a7834a · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.

Spectral Image Tokenizer Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.223921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.741869Z digest=sha256:a14f6119b361623f50e19c22c9679326abd6ad4a63ad02b442cf62456b867f50

Observation ff0e8888-0c77-4123-b3f8-8ed27bf6d392 · outbound

This paper cites Star: Scale-wise text-to- image generation via auto-regressive representations, 2024.

Spectral Image Tokenizer Star: Scale-wise text-to- image generation via auto-regressive representations, 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.209939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.745364Z digest=sha256:aa51241f61e7aa6a88c20995a7416f125fd8a58405ef5c926acf91c25f35c7f3

Observation 47f99792-f9bf-44dc-82c8-0ee2c4868bdb · outbound

This paper cites A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way.

Spectral Image Tokenizer A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.199523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.748878Z digest=sha256:6f6da1a7e814bd713fd9e771dadc97429a1567b8a2369a7272f4d4523980a8d9

Observation ce228786-fed7-412e-9d0d-3d6c496fd03b · outbound

This paper cites Wavelets are all you need for autoregressive image gener- ation, 2024.

Spectral Image Tokenizer Wavelets are all you need for autoregressive image gener- ation, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.189975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.753176Z digest=sha256:0a14590ccbb6f6bfec8826c76848d9ccddc3af57d785dedbbdd5bbc6c8788676

Observation a24c2986-0d64-4c0a-a9f2-58239546ba79 · outbound

This paper cites Spectral normalization for generative ad- versarial networks.

Spectral Image Tokenizer Spectral normalization for generative ad- versarial networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.179169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.756477Z digest=sha256:71eece5009e6adde7eeab25f28884920e76e63d1ab48dcf6962caf145d72f8f5

Observation 2e8cd83d-b88d-4dd8-83f0-5d7a9af7ac97 · outbound

This paper cites Battaglia.

Spectral Image Tokenizer Battaglia

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.168860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.760461Z digest=sha256:28c587c4d814e9c01f5e49671f325cfc2c1286e663acfe43a523b6a0fefa90cc

Observation fc131847-0877-484c-8a9c-7976a9c69101 · outbound

This paper cites Gpt-4 technical report, 2023.

Spectral Image Tokenizer Gpt-4 technical report, 2023

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:03.763903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:57:03.763903Z digest=sha256:d7b8782ce429d475c2fc37be9277a730d6869209fffa7e6ba588729ae433b3ea

Observation 929c4b7d-4193-4d25-a5be-c854335ce8fc · outbound

This paper cites Scalable diffusion models with transformers.

Spectral Image Tokenizer Scalable diffusion models with transformers

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.152200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.766803Z digest=sha256:541f84d28c4a2c21bd009a57b951c7b696132cd886bcdb3787ce02aa5e08a3e6

Observation 521bb356-62ba-4c61-8ab9-329247a64f6a · outbound

This paper cites Wavelet diffusion models are fast and scalable image generators.

Spectral Image Tokenizer Wavelet diffusion models are fast and scalable image generators

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.142255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T16:57:03.769814Z digest=sha256:880fc0fb1d9d0631b155b822566aaf5585ae7b10781115aeb04fc57259223fdc

Observation 7df14d5c-e1a1-479c-9d1d-8065d0bb0b56 · outbound

This paper cites When worse is better: Navigating the compression-generation tradeoff in visual to- kenization, 2024.

Spectral Image Tokenizer When worse is better: Navigating the compression-generation tradeoff in visual to- kenization, 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:57:04.132400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 912bab35-2719-4658-b668-c96922fcc07d · outbound

This paper cites Generat- ing diverse high-fidelity images with vq-vae-2.

Spectral Image Tokenizer Generat- ing diverse high-fidelity images with vq-vae-2

Reference 37

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Observation 3efba207-30df-4867-97c6-40bce68cb706 · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer.

Spectral Image Tokenizer Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer

Reference 38

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 49273d13-ef28-4fe1-96b9-b7353f17598d · outbound

This paper cites Sin- gan: Learning a generative model from a single natural im- age.

Spectral Image Tokenizer Sin- gan: Learning a generative model from a single natural im- age

Reference 39

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Observation 4c5a0213-ad69-46c5-8349-c9be53570f3d · outbound

This paper cites Pyramidal denoising diffu- sion probabilistic models, 2022.

Spectral Image Tokenizer Pyramidal denoising diffu- sion probabilistic models, 2022

Reference 40

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Observation 39c546f7-d003-438a-9ac1-761555a1d1f7 · outbound

This paper cites Improved techniques for training gans.

Spectral Image Tokenizer Improved techniques for training gans

Reference 41

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Observation aab31e27-8c1f-4a11-be2e-cb9e72c2c244 · outbound

This paper cites Glu variants improve transformer, 2020.

Spectral Image Tokenizer Glu variants improve transformer, 2020

Reference 42

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source=pdf_text observed=2026-08-11T16:57:03.794346Z digest=sha256:5469387d6f13f0f4399d19c4c1e0bdcc72420c46b89ed070d9d558978eb49231

Observation 1174cbbd-199d-42b7-93cf-1fc51f9acf84 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Spectral Image Tokenizer Deep unsupervised learning using nonequilibrium thermodynamics

Reference 43

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source=pdf_text observed=2026-08-11T16:57:03.797379Z digest=sha256:7b5845cafa05e76379322cd961594bbe550d53c197a716182b19548da53a1e7b

Observation 8c76263c-b00a-4228-8970-7eda128313ba · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding, 2021.

Spectral Image Tokenizer Roformer: Enhanced transformer with rotary position embedding, 2021

Reference 44

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source=pdf_text observed=2026-08-11T16:57:03.800712Z digest=sha256:200fe43fd4e2aa2751a64b41002c2aba65b4905c4b5e512a64bfb1a340d0076a

Observation 1504ce2e-c748-4869-89bf-a57980e13943 · outbound

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

Spectral Image Tokenizer Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 45

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Observation 904f6cac-13c0-432f-81b4-53be9648504d · outbound

This paper cites Gemini: A family of highly capable multi- modal models, 2023.

Spectral Image Tokenizer Gemini: A family of highly capable multi- modal models, 2023

Reference 46

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Observation 18dba55b-404b-4265-8fcf-e7e8be65ec15 · outbound

This paper cites The llama 3 herd of models, 2024.

Spectral Image Tokenizer The llama 3 herd of models, 2024

Reference 47

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source=pdf_text observed=2026-08-11T16:57:03.811919Z digest=sha256:567b1649a4e6c86d3eb59c13bc1084abdaed3d25c5d33b20bb1cc82ff9812a35

Observation f81a2424-2b15-459e-b617-7cdc4469fad0 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

Spectral Image Tokenizer Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 48

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Observation bb6bff86-96dd-4457-967e-0109f3915bfe · outbound

This paper cites Condi- tional image generation with pixelcnn decoders.

Spectral Image Tokenizer Condi- tional image generation with pixelcnn decoders

Reference 49

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source=pdf_text observed=2026-08-11T16:57:03.818730Z digest=sha256:b70f0fa91c158b9ecb7fc4eaa6b798511673012beb63d4386ac6a5f3b1e251bb

Observation 06bfd6d2-0058-4e6d-a395-6edd70876ea8 · outbound

This paper cites Pixel recurrent neural networks.

Spectral Image Tokenizer Pixel recurrent neural networks

Reference 50

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source=pdf_text observed=2026-08-11T16:57:03.822556Z digest=sha256:3bd9c425846ea6849ebd46d6be53c29370a5bf59cab24b8bbd5e4abb4601ed97

Observation 9186f28c-b3c3-4af3-8716-4b99c86e7115 · outbound

This paper cites Neural discrete representation learning.

Spectral Image Tokenizer Neural discrete representation learning

Reference 51

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Observation af73091b-ed73-4612-bd7f-487c795b52b3 · outbound

This paper cites Attention is all you need.

Spectral Image Tokenizer Attention is all you need

Reference 52

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Observation de12db3c-eab3-4349-af17-38b149776141 · outbound

This paper cites ”principal components” enable a new language of images, 2025.

Spectral Image Tokenizer ”principal components” enable a new language of images, 2025

Reference 53

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source=pdf_text observed=2026-08-11T16:57:03.832517Z digest=sha256:a1eed53d134ebe6972b05456e52c9638ad6c4c9decae225ee01cda50105d2130

Observation 48c53a97-90fb-4634-9683-b310a1af2284 · outbound

This paper cites Reconstruc- tion vs.

Spectral Image Tokenizer Reconstruc- tion vs

Reference 54

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Observation 83f90692-566a-464f-8fdd-e8fac6fc0852 · outbound

This paper cites Wave-vit: Unifying wavelet and transformers for visual representation learning.

Spectral Image Tokenizer Wave-vit: Unifying wavelet and transformers for visual representation learning

Reference 55

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source=pdf_text observed=2026-08-11T16:57:03.838910Z digest=sha256:ccc90539c671a1e93ebcdac62aa3a3ff0ba9b24ae743818349616bdf92e9246b

Observation 04a620e3-14dd-429b-8af5-eb975a157607 · outbound

This paper cites Frequency autoregressive image generation with continuous tokens, 2025.

Spectral Image Tokenizer Frequency autoregressive image generation with continuous tokens, 2025

Reference 56

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Observation 312704ca-04ae-43ba-882c-d53266b627da · outbound

This paper cites Vector-quantized image modeling with improved VQGAN.

Spectral Image Tokenizer Vector-quantized image modeling with improved VQGAN

Reference 57

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Observation 2494d708-5878-41a5-8c51-15dc95bad0d0 · outbound

This paper cites Scaling autoregressive models for content-rich text-to-image generation.

Spectral Image Tokenizer Scaling autoregressive models for content-rich text-to-image generation

Reference 58

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Observation 3af8e5e0-0c64-497e-9ccf-8e0d3a734613 · outbound

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

Spectral Image Tokenizer Language model beats diffusion - tokenizer is key to visual generation

Reference 59

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source=pdf_text observed=2026-08-11T16:57:03.851358Z digest=sha256:cce61c1ba7a6a038d8b01e5a7db292434eaf8517e64a3a3962d395a24e514447

Observation 0a110e6f-1c4f-465a-b588-29871d51c9a5 · outbound

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

Spectral Image Tokenizer An image is worth 32 tokens for reconstruction and generation

Reference 60

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Observation e9527975-09f1-4d1b-8667-f1fac3ec6e22 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Spectral Image Tokenizer The unreasonable effectiveness of deep features as a perceptual metric

Reference 61

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source=pdf_text observed=2026-08-11T16:57:03.857662Z digest=sha256:3950db56dd5cefad8e23dce8579f40e3ba8689ed396269b19c59f17d6fe53556

Observation 3079e2b2-0bbe-4d37-9c54-4d12356d1d00 · outbound

This paper cites small” encoder and “small.

Spectral Image Tokenizer small” encoder and “small

Reference 62

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source=pdf_text observed=2026-08-11T16:57:03.860695Z digest=sha256:614b96259808926f337377fa628ef7eefbb1c74b91de3690a052941e74bb0785

Pith citing papers

Observation 447ae25b-af31-4b5d-80cf-68d3c81b7f04 · inbound

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space cites this paper.

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space Spectral Image Tokenizer

Reference 15

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source=arxiv_source observed=2026-08-11T11:47:49.214382Z digest=sha256:57e9e4e3157c0c0202a25484e8b97640c97c855966a4e754f2148af913a748f8

Observation 523d72fb-8b4c-48c8-b88e-b8370aa91419 · inbound

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis cites this paper.

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis Spectral Image Tokenizer

Reference 15

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arxiv_id, observed 2026-05-19T12:02:16.751381Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T12:00:37.025335Z digest=sha256:a6a4064a0a905bfe992a5a7dccb64e351037719dd65fb977e64a67e40de8cca3

Observation 5beb5082-0a69-4b6d-bcb5-75a0c52665a7 · inbound

SpectralAR: Spectral Autoregressive Visual Generation cites this paper.

SpectralAR: Spectral Autoregressive Visual Generation Spectral Image Tokenizer

Reference 11

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source=pdf_text observed=2026-08-07T04:17:47.249541Z digest=sha256:6bef83ec9e2fad7214340f928a5fc4e32e7eb19bdd590a921e1907fdadebe3c8

Observation a1b17fb0-9921-4d73-b68c-ec584b7c2282 · inbound

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving cites this paper.

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving Spectral Image Tokenizer

Reference 14

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source=pdf_text observed=2026-08-07T00:59:41.330317Z digest=sha256:0bb42f4bf7b534e31b8c7b07cab491641e2f54262906e9f84fa4a77b6935b8f8

Observation 0323ee1f-3dc6-4cfc-a778-091d1a6f200a · inbound

StrandDesigner: Towards Practical Strand Generation with Sketch Guidance cites this paper.

StrandDesigner: Towards Practical Strand Generation with Sketch Guidance Spectral Image Tokenizer

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:34:46.904765Z digest=sha256:1cb287a2efc3aa46d37773e827de4b71c1f34d2d39e8725684bb1a23a23bf55a

Observation fc15645d-34a6-473a-a872-ad281d7a9c59 · inbound

Spectral Vision Transformer for Efficient Tokenization with Limited Data cites this paper.

Spectral Vision Transformer for Efficient Tokenization with Limited Data Spectral Image Tokenizer

Reference 22

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arxiv_id, observed 2026-05-13T06:57:28.120270Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T06:53:51.211617Z digest=sha256:3f80eb7bb3ff24486d7b1afb463b7b122a2351fb8857ffd0514ce8fbe7e02837