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Paper Citation Record · LEDGER

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

As of 10 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2506.06962.

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

pith.paper-citation-record.v1
2506.06962 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:00.171859Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T15:30:23.485228Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:50.357414Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact2
  • verified fuzzy21
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 307a66ff-295c-46cb-bb6f-ec99d41db689 · outbound

This paper cites Towards effective long conversation generation with dynamic topic tracking and recommendation.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Towards effective long conversation generation with dynamic topic tracking and recommendation

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.628400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:49:59.961345Z digest=sha256:ce3eed928469f2e90aae99928ea49a57311b5e05cb2f4e0e55e171db7e99757a

Observation 64d2be91-7b55-4ca0-9f5e-a21372a01e21 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 2

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no resolver link, observed 2026-08-07T05:49:59.965544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:59.965544Z digest=sha256:89328dbe3ef328bb3f67c8d859c3b556145ed9b22e92236a87c4ffc68c647dd8

Observation b7133e25-9690-4eb0-9f8f-b9fed9bc8a5a · outbound

This paper cites Semi- parametric neural image synthesis.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Semi- parametric neural image synthesis

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.618793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:49:59.969799Z digest=sha256:7d6894dbb0a8302705819ed716da56c164a887a401c9808168487fe413ab17c6

Observation 853e6cb8-e911-4077-bd24-f8122edc0d23 · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Improving language models by retrieving from trillions of tokens

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.609366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:49:59.973438Z digest=sha256:fc8baab85e75b2127343312ac5ea9535dbbb130753c7a8ef267337df9750d011

Observation 8dc5c7c3-b4f4-4086-9b32-c5b43d10ab15 · outbound

This paper cites Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

Reference 5

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unresolved
no resolver link, observed 2026-08-07T05:49:59.977186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:59.977186Z digest=sha256:96655076e426b1c2fffe817a4d731ce83f4f6a0d8ca32765dbbaba1a5a27113f

Observation 6fbb9673-30f8-4505-bdf4-16b290fd4bd1 · outbound

This paper cites Blip3-o: A family of fully open unified multimodal models-architecture, training and dataset, 2025.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Blip3-o: A family of fully open unified multimodal models-architecture, training and dataset, 2025

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.600119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:49:59.981218Z digest=sha256:c3b461b0ac22abd85619840de886371ba363fc6f1d729f86388213b7da9d59f4

Observation edc6de30-0e8c-4e32-9f24-4fc7fecabb7f · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 7

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no resolver link, observed 2026-08-07T05:49:59.985139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:59.985139Z digest=sha256:e2521344eaad27a564f929cb21cb091069d28373f9e73b4a557f17dac9bad7d5

Observation 61b5f847-b241-42e2-95f0-87370469fcc7 · outbound

This paper cites an unresolved cited work.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-07T05:50:00.590447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:49:59.988929Z digest=sha256:dcdc5cc00bc8cc3bd511ad1ddbddefd71f464fc95b0bcafd5c08f7e0cfe16695

Observation bc8cf03a-588d-4227-b39a-0cc1377e3a2b · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 9

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no resolver link, observed 2026-08-07T05:49:59.992508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:59.992508Z digest=sha256:24ecda53b41a5f188585a11f117c6ab4042997880e3795056c6061ca34ccb979

Observation 9fd6a6ae-f5f2-4cec-b0ff-ef2f1e7a0748 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:59.996279Z digest=sha256:94dd5e973bf6647f05404429fc5b8cf0757fc64fdb5e901ca4a8d162cda9af51

Observation 712fa45b-7698-41e3-9489-b55fb1d5ff61 · outbound

This paper cites Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:50:00.336946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:49:59.999949Z digest=sha256:ab0face21e49b4ce1496eac7b994e779f3b5babbe33292e8cb2aec0a3d4c748c

Observation 9bfc47b3-12fd-4b45-8bf0-6cf8b4d85b49 · outbound

This paper cites Datacomp: In search of the next generation of multimodal datasets.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Datacomp: In search of the next generation of multimodal datasets

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.575249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.005484Z digest=sha256:1713ff19ca025e89f9ab344a992a282b87b42be49d6ab879f219f4fa1428bbc7

Observation a5881580-67cb-47b6-b134-e35e02448a99 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 13

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no resolver link, observed 2026-08-07T05:50:00.010895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.010895Z digest=sha256:625d03cbabd43981959e8c41306044225bfed96623fad37c829461c682154d25

Observation 91435f76-e0a6-45e5-9e40-fbd69a2b279f · outbound

This paper cites GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.027350Z digest=sha256:ef5467c4852b294681d973d975948be3fd27f077df2b69d31031da52bcd79867

Observation 976b4ea1-7398-408c-a3d0-a5c54e7311f6 · outbound

This paper cites KAT: A Knowledge Augmented Transformer for Vision-and-Language.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation KAT: A Knowledge Augmented Transformer for Vision-and-Language

Reference 15

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unresolved
no resolver link, observed 2026-08-07T05:50:00.032601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.032601Z digest=sha256:82fa25394fc83bff364ea34cff791ec4c3cd4e0f2e2b76c3f2cb1e954276dc05

Observation 438992b0-6d5d-445b-a6ca-e037a5afacd0 · outbound

This paper cites Retrieval augmented language model pre-training.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Retrieval augmented language model pre-training

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.564800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.037991Z digest=sha256:f20e38d95cbe12c6f730b035ea916b5f905e4a6c43cf57d90a50f33a767e0998

Observation a2241fd9-aea4-4d72-ae9f-64a2c82d567c · outbound

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

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.555078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.043443Z digest=sha256:dc28c1e2ec89008117c7b9b8246c4e0552590a9fa6a6b5cb31922ac1d27c6fc8

Observation 07593543-70da-4052-a4e0-17c4bf3870a1 · outbound

This paper cites Ella: Equip diffusion models with llm for enhanced semantic alignment, 2024.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Ella: Equip diffusion models with llm for enhanced semantic alignment, 2024

Reference 18

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.050319Z digest=sha256:39494cc1cfb63dea487328f70e294d4eb342a1a8f09624815c42f6d6bcfdf614

Observation 4511be7b-e668-486c-88e3-0cf1da95883e · outbound

This paper cites Leveraging passage retrieval with generative models for open domain question answering.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Leveraging passage retrieval with generative models for open domain question answering

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.539575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.056179Z digest=sha256:e20c178aea30f26d20b71b84fdccb6e9ab668858f76751b996f43308a3d279cb

Observation 35a7268c-9765-4e22-a072-b5984384abc1 · outbound

This paper cites Rethinking fid: Towards a better evaluation metric for image generation.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Rethinking fid: Towards a better evaluation metric for image generation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.530349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.061164Z digest=sha256:aa6c3fb1010e3eee31ca3861266d0aeeed28c536a357e74d1c0da382cac412d6

Observation 613a8570-b4cd-44e3-bb7e-2010c1fb22d9 · outbound

This paper cites Billion-scale similarity search with GPUs.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Billion-scale similarity search with GPUs

Reference 21

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no resolver link, observed 2026-08-07T05:50:00.065535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.065535Z digest=sha256:063c494e8cfeae52c8f1f8c6f31cce5617501b46af76ebc45bdb8dcbd654c38e

Observation 105f5d2e-a632-486f-802d-554abaf6fd0a · outbound

This paper cites HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:50:00.298942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.069883Z digest=sha256:c1b8db7f62398de4739a25e06c04963b524bcbd98fbf687ace46e0b6b3ad12e6

Observation 7b799476-c683-4fc6-9162-6f9411fa5bb3 · outbound

This paper cites an unresolved cited work.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.074692Z digest=sha256:d54867e9b0dee3d20d309c6631e04d6f4f9cf1f63349f8f5df04cf5d67cf20a1

Observation 796e6423-b89f-45dc-b61b-3d7d88a0203b · outbound

This paper cites Fine-grained late- interaction multi-modal retrieval for retrieval augmented visual question answering.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Fine-grained late- interaction multi-modal retrieval for retrieval augmented visual question answering

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.506190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.078718Z digest=sha256:cc75ba153da4788b85e45c62eb94594a427a26cb8f2828941d724db431d29743

Observation c464a96e-1961-4421-b45a-f4968b352ff9 · outbound

This paper cites PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers

Reference 25

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.082375Z digest=sha256:8f108c9454b5fa34af11953e6f98970829413dfacafc95925d682b91e174784e

Observation c548ac04-56a0-4d0a-9609-c43cfc848c4c · outbound

This paper cites Handrefiner: Refining malformed hands in generated images by diffusion-based conditional inpainting.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Handrefiner: Refining malformed hands in generated images by diffusion-based conditional inpainting

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.497001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.088312Z digest=sha256:15a9bbd5a43d0b1752cdf71ad805f1e2748e88d2dbe4e61ea5bf7ece6c52d156

Observation f599aad6-3a1c-4ec6-9208-6ab1ee0e5be6 · outbound

This paper cites Transfer between Modalities with MetaQueries.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Transfer between Modalities with MetaQueries

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:00.091963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.091963Z digest=sha256:ba34e1936b614885c731390717dd855288221cbceb451c3a96869fd221d536b4

Observation 1d275fd9-84df-49a8-b25c-931f1e9e1cef · outbound

This paper cites SDXL: improving latent diffusion models for high-resolution image synthesis.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation SDXL: improving latent diffusion models for high-resolution image synthesis

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.487925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.095712Z digest=sha256:f671ad2a3cc4ba88b93a09c420ad74f19500527249611c6cb34cbbb7ec878f54

Observation bde39ec9-4a4e-4c71-b61c-8e7345a212d5 · outbound

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

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Learning transferable visual models from natural language supervision

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:00.099287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.099287Z digest=sha256:b4736436df12f3d8863c57d6993b6d7b5ec51ad874ced3dab1f667ef69dc7d50

Observation 21854800-ab86-42d8-9e42-5c217ec6d5c3 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:00.102884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.102884Z digest=sha256:ca7c0f76912a2364808e3d5c4a4eb05a1630a24749c6a922a6b498cee3e41b37

Observation 54aaef81-83e8-417f-ab70-8dcdbe9c0d2e · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation High-Resolution Image Synthesis with Latent Diffusion Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:00.106158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.106158Z digest=sha256:9875b9cb96b897df5bfc25eb1ee180106216de236f8d7d042da053dc18f20750

Observation 2cb12436-21e9-4b54-9e7f-b9a803d5fc5b · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation High- resolution image synthesis with latent diffusion models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:00.110226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.110226Z digest=sha256:e274de788a9ba86f18669ab7fce5de000d0e9fc737f4edccbf842a634adef43a

Observation fce48b6d-dc98-4f77-ad0b-53a0d0366910 · outbound

This paper cites Bermano, and Ohad Fried.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Bermano, and Ohad Fried

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.467251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.113894Z digest=sha256:30166605ea3d119fe02c43a0bfd04f04b720574802f5833b0bc9120c19dda073

Observation 40c4ba51-a8a1-4628-98bf-eb50ed8c167c · outbound

This paper cites kNN-diffusion: Image generation via large-scale retrieval.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation kNN-diffusion: Image generation via large-scale retrieval

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.458012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.117309Z digest=sha256:e24cb7ee60b6a98eeed37c6e58f67725f7c05ed3c75a7f9b70d35aaa946f44bd

Observation fba33c5d-0c58-4b5d-88bc-dbc4ec0af2a1 · outbound

This paper cites Retrieval aug- mentation reduces hallucination in conversation.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Retrieval aug- mentation reduces hallucination in conversation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.448267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.121229Z digest=sha256:106ab82e6958729f2979a28ebb9c86fb90f5f5a718b8aebb8c30cc84f1e00750

Observation 6d144aad-f07e-4b3d-b96d-a83eb90bc233 · outbound

This paper cites Journeydb: A benchmark for generative image understanding.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Journeydb: A benchmark for generative image understanding

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.128960Z digest=sha256:8c62016ada12e6d8a0e4033fc829e92a539154664547e7ac4e52d11197e51832

Observation 356e327c-0f9e-4360-9050-d4672b653c1c · outbound

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

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.132362Z digest=sha256:5b843cd5a80b033a204593e3cd9eb9290a67caccdd331bd5cd18c14f11b688e9

Observation 22f32b96-6336-40f9-b306-adbf8f046317 · outbound

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

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.427595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.135645Z digest=sha256:21164d3db6bdd56ad52a1bcd5334cd7759389e5fcbd119ca7324197288a8f3be

Observation 2e993fd4-2f90-4c5b-bafb-d649bd3d1a3b · outbound

This paper cites Fréchet wavelet distance: A domain-agnostic metric for image generation.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Fréchet wavelet distance: A domain-agnostic metric for image generation

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.417416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.138862Z digest=sha256:2a925cd638f0ec83c1ab155669aff5bda937a90db43357a175f669708d49f641

Observation 698dfdd7-8bd2-49a2-b9cd-17664632897f · outbound

This paper cites Midjourney prompts dataset.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Midjourney prompts dataset

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.407893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.141871Z digest=sha256:f011dd8dd1123e02a24fc9cfcadd1d98ba0c526bfa832ce1e141f0af27aee2ab

Observation 2c17aadf-bb35-4f89-ad79-acc49bda02c2 · outbound

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

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Emu3: Next-Token Prediction is All You Need

Reference 41

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unresolved
no resolver link, observed 2026-08-07T05:50:00.145033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.145033Z digest=sha256:5b40eeecef8d89c3ac20e4f3eaaebe16dfa1822d98d90629ed5e11783f7b0a38

Observation 7eab1213-4d83-4397-8543-039fc4d01fd5 · outbound

This paper cites UniIR: Training and Benchmarking Universal Multimodal Information Retrievers.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Reference 42

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unresolved
no resolver link, observed 2026-08-07T05:50:00.148561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.148561Z digest=sha256:4e9319b684130015f5927ceeeeb64ef0bb043fa3a351e397dbf7033e3a31b043

Observation e4ed34e5-436b-4779-ac92-5997192ed361 · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 43

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unresolved
no resolver link, observed 2026-08-07T05:50:00.151862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.151862Z digest=sha256:e28d60b3f18e133ae349b2d1f46748c4f1a33c35a4d82b0115204f39f7b5487a

Observation 390cbf13-88a6-4503-b756-56a11954b064 · outbound

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

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:00.155401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.155401Z digest=sha256:87987af0f4d0c13502ab9af84a1f81484635bfa8b8e969ce196fa2df24d9187b

Observation 8d701f30-1c00-4b86-97b9-2ded6edda6db · outbound

This paper cites Modality-specialized synergizers for interleaved vision-language generalists.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Modality-specialized synergizers for interleaved vision-language generalists

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.398761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.158685Z digest=sha256:c7ef4821a5b16e66210f0257932b78cd8f7ea6ffc0885cc1affa061a334c35f5

Observation f070860d-feba-4a60-8bd1-a631a2b63525 · outbound

This paper cites Retrieval-augmented multimodal language modeling.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Retrieval-augmented multimodal language modeling

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.388852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.161798Z digest=sha256:7d0f2b328d069d3d8bef878a914a2a1ba10c14353495e3998332779d900eba65

Observation df11e4ee-8b63-40a0-88eb-f62b69f90fbb · outbound

This paper cites Making Retrieval-Augmented Language Models Robust to Irrelevant Context.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:00.164958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.164958Z digest=sha256:fce6de4317ce6fd0c620587fee710356e654ff8b760a8848baecafa529428d4f

Observation 0349970a-a02d-4bfb-b826-ce4611bc89f9 · outbound

This paper cites Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:00.168507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.168507Z digest=sha256:0653ea598d8049a50e01a2126ba776e10d2d94ad7aba002dd15b2474448405ee

Observation 5b92c257-4a93-4205-bb4d-3f3c6961c622 · outbound

This paper cites FineRAG: Fine-grained retrieval-augmented text-to-image generation.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation FineRAG: Fine-grained retrieval-augmented text-to-image generation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:00.379520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:50:00.171859Z digest=sha256:2d8ee3d9e33376167ad9063478d907fc179faeda3c4d2d2af872502a2b2c5d8b

Observation bc811eb1-6b8e-42cd-966a-c3b113381080 · outbound

This paper cites an unresolved cited work.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Unresolved cited work

Reference 2021

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.125527Z digest=sha256:9e32f78d6b62fc2292206f8b8644cb6e8ee33fea9fdcb9e00d56d9021719a051

Pith citing papers

Observation 35aaae44-7d4c-4e64-9b36-1725aad98f1b · inbound

RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation cites this paper.

RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:08:50.358851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T02:02:32.008630Z digest=sha256:e0f4edd39ea3054b491b8c3b7c1d8deb96c60e21b26c947c247ad36b757d15d5

Observation 2571aa8b-e431-40b6-a160-2ce29f98cc57 · inbound

Spectral Origins of the Self-Correction Blind Spot in Autoregressive Generation cites this paper.

Spectral Origins of the Self-Correction Blind Spot in Autoregressive Generation AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-14T15:30:23.485228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T15:30:23.485228Z digest=sha256:0ea02528196c209ef9b2d24253238a6e3f24bd368ebe537e6691d8e9898f9326