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Paper Citation Record · LEDGER

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

As of 8 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:59.961345Z digest=sha256:09ce6e591a293adcc169825feb4c1c0862aaad7f978e730da47ca4f5cea6824b

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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unresolved
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=sha256:15d51e35082a1790ba616af0ec9d44c1d0971edcb7411f7e2f7dc49fb0014106

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:59.969799Z digest=sha256:4813c1d30f4c2f939e2a5749554e7f0d8ae9e0364a5c8afa98301e7731d9787d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:59.973438Z digest=sha256:9d7958f4adfd385b6a1d353929329dce37df67501a3b00ee62de6df7911f777a

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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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:b7f81fb4ca5c9d3da650e6bd6c67a0fbc179c5d7dd041fe4b2c692016181adb5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:59.981218Z digest=sha256:90aee2ad7af55ad7bbc8d6bad500e9d3a1030c97ff37dc17067cfc7f679cf3ff

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=sha256:26298ea22fa464d0c5ce0173ec9961789e62eb9a647c5b06b400004d38810016

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:59.988929Z digest=sha256:69aac69ea8ba8e2dd6a296b924c86b3112ca610182ab986676ed7d356af712d7

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=sha256:6f187bc40f166148a36da2e336ebd3b63f7e9ba1a6ff6cec64884300eef6e604

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:d2ea0d3f6590b11fcee77b4f6b5ee723aa6ca057c3885becada22029a97b7532

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:59.999949Z digest=sha256:0f73e1dbe15746176056e4620d82432c0c236ca1fdf91cc9eaf71bb96411f522

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.005484Z digest=sha256:34bc46016bdb35eb2965b38c95472e3702ac26927b8f2b841f50992b2cd0aa89

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:a94b3a378bcc061490f8ab4257dd3e477f15369036bd32b596bd40789ea8fb28

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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unresolved
no resolver link, observed 2026-08-07T05:50:00.027350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.027350Z digest=sha256:9514e35bfa2fa9066b84b35553f1375178a6eeb73c55b3c2ff646d538305a934

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

Resolution
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=sha256:308faa8cbc55366b0247a53d539979d5aba747c2e109a2f994fe73aebadab62d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.037991Z digest=sha256:b2425fc83a49e6a3996c2ec3e12e09eff628e52594a338dc5ee5a40a00d0ef5b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.043443Z digest=sha256:410dc7d16f661aa04eb60ba4672e9433968282a8e3f33e79f6b1674a5846b9de

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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no resolver link, observed 2026-08-07T05:50:00.050319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.050319Z digest=sha256:646935d36be1b15850b08791d5d840f5d0ad7ce4022b2d86d97a2d69b0316268

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.056179Z digest=sha256:25dda76e0d5f1c2bd1944f30850181a67db81318ac24e72e171cec9b261aecfd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.061164Z digest=sha256:758b851d5303663e6d5eba9bd81a97395e8d27b1c0f5e474916188867e2902a3

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.065535Z digest=sha256:807836adc21776f6a50f157d1e4593784184cfe9e3e458a1ac48d2d2e3c22d09

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.069883Z digest=sha256:826e3dd2beadab78299d3b705059342ac7b3da1102301af9701fe71ec0784cce

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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raw_fallback, observed 2026-08-07T05:50:00.515449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.074692Z digest=sha256:333b5c9318fc38174a2afbf8093416872069513a68a2f0b1d3f6f3c0fce0d56a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.078718Z digest=sha256:26f5a49042907d8fbf89c9b309cbed3e7aff269f750bc06c20d15452bfccebd9

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

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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=sha256:1ad1f02931a691452ce5e9552333db5b0dfca8267706f75f98b51098e28c281f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.088312Z digest=sha256:d7d59be20f559896fce0a24c5dc8eb482b08e3c353011301c7fcb046f58133a6

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=sha256:9932808d127ad0a029cbd93e16345ef643aa16192d58193862537b8f227964f5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.095712Z digest=sha256:15a7507133f18825cffb7bca5ffb538dca6f2a144fc64955f1644cefa8e592f9

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=sha256:384138f1bc45f53674e4b0df15c55d1f6233768ed1f07e346082343d5fa31010

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:cb343d09b362a81ca0acd96daade99f492fcd9800ec98954ac7b0773de490d7c

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:e1dbc54e7b3b4c6268c1e195727e307acb8c03e9e235b0217dccb51d2a6bdb48

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:d7ceb60bb99c8fcc2f144c16499b76646a45c61aa21f36ce88ffe347cb728504

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.113894Z digest=sha256:c177e537ba0b10ce35ef7ae922d1cfbc64de58f84437d5391cdb08f169a8e033

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.117309Z digest=sha256:8e891e248c5c4eab7b72754cf17c59345059f426e0f374d1288256fa11070e23

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.121229Z digest=sha256:b91d5c28e69c0641df535f1206bd8e305934e7d2e75068e02435cda4e2353d54

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=sha256:476e7f51a391741b28fe2d369f0e681253cc63bd5e76d17204225c85dc3afc4e

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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no resolver link, observed 2026-08-07T05:50:00.132362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:00.132362Z digest=sha256:37cd6c50eb6873de159af2593902569b8bf53857a763d93d16b157b78eaaea6d

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.135645Z digest=sha256:ec4f3d95982f37457bbdabb6d164670742e514210d725b1246e925404c8d8e92

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.138862Z digest=sha256:5bdaa2f9b0f1d02dfacb7fb6c3f25e14ee7e0bcf4a2d91a21d2db0a614f231fd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.141871Z digest=sha256:62fa50f53aba846f51bdb63f23279e42e14d4ed8bdb28ba5eff3beab71524ca6

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

Resolution
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=sha256:8a75c241ba05ebe38668733503ac6e0c934e19f20b3363215eba17d2f11457d7

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

Resolution
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:addcecbb39606f642ba7a9317b76422483e047004ec0a904b86936dea05e4e53

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

Resolution
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:a1547ed2111ebdd1ca003fe1868f8a94488327183847025d8fd1b9555809a8d6

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=sha256:76ef8ffd41e420c52a52d001294ea5b98664ba9c9c1e6a6105db81613dd058c5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.158685Z digest=sha256:2513cfc8f5399ccd02cc1fe39ca25949a9d0185f2a8f1c53910d75c990cb3e77

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.161798Z digest=sha256:338ed75ed78fddd561546b02c5cc8386c2cf4583281723c37e8e517b5ede8285

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:cbc9bf005decb35e891aff98ac6280ed9dbaff48c0200577697b3d0deff9bdc0

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=sha256:497f2c9c822b73b06db75886b0e8b748e6450ff31431ea34e80f3fabbb457ea5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:00.171859Z digest=sha256:2b7c157b9d10550a856f261b631f563e98eaae0f764a8d57932670acdb7acf66

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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unresolved
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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=sha256:7ba54db529c441d41827188c75be288e74e27cd9c17da1e1028993183afec96c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T02:02:32.008630Z digest=sha256:917a973798bd09e3d155f1773a2224baa2abab7afd1ac488011fcae15639b5df

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=sha256:9260d467fa1bcb945a25231c6599ed1d10ae6fba1a610e345f80d4c04426bf2c