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Paper Citation Record · LEDGER

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.18674.

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

pith.paper-citation-record.v1
2505.18674 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:15.310799Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9a2d102-7a0e-4cfa-b3cb-31848a9fd79f · outbound

This paper cites Bringing old photos back to life,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Bringing old photos back to life,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7ce66bd4-e9b3-4b6d-91a1-1662c12c43a2 · outbound

This paper cites Pik-fix: Restoring and colorizing old photos,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Pik-fix: Restoring and colorizing old photos,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:20.474917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 76021745-c52a-4a4d-afdf-070feb7f9d43 · outbound

This paper cites Esrgan: Enhanced super-resolution generative adversarial networks,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Esrgan: Enhanced super-resolution generative adversarial networks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:20.144755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0dcd6d3f-43b1-4ac3-b2c6-61d02614a6dc · outbound

This paper cites Swinir: Image restoration using swin transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Swinir: Image restoration using swin transformer,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.927324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:12.563205Z digest=sha256:f8ffdb4ca021a8d3c2407a6e197232f807ca9642e7e5ae93eb28b1deeae50ba2

Observation 46323d29-d342-455e-a34d-cafe84fc2c36 · outbound

This paper cites Denoising diffusion probabilistic models,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Denoising diffusion probabilistic models,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:12.656242Z digest=sha256:f066074196bfbfa2388b0c0881399c48628c4fe3e6e656b922ec6bdccc93655b

Observation 48261c58-97c9-4ada-a92f-9f6894cdd86d · outbound

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

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model High-resolution image synthesis with latent diffusion models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.756658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d520fa4c-a259-46d1-9d1d-e843f2aabaea · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Adding conditional control to text-to-image diffusion models,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:12.789523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:12.789523Z digest=sha256:0057ac60fdc83399ee1cfd114c468d7c2dbfac84ee4865e13237987e2c4550f7

Observation e6e6e9c0-117b-4a64-8013-e7cb918d1ae7 · outbound

This paper cites Image superresolution via iterative refinement,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Image superresolution via iterative refinement,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.641204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:12.858043Z digest=sha256:2178b1506bed1c2d17c5d8de760fc7eadfb58418f380923cff640f9328701723

Observation 0426be70-f3e2-47df-bb8a-8dc08936ad37 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.496940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:12.938639Z digest=sha256:8e027ffb8ef81f6d3ef89d6c6aa576a050557cee333219df46d0925b0b52b3a3

Observation 3da1446c-ee4a-45f0-b224-8e3720bbe8cf · outbound

This paper cites Deblurring via stochastic refinement,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Deblurring via stochastic refinement,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.361339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.006994Z digest=sha256:abb7b64a038d5d304946027cdc6ec20a0c41cea979c75c7c2c53f7d05dc4aa7d

Observation 36e7a21a-aff4-4b80-ac1d-01000fa4cd4f · outbound

This paper cites ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:13.104272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:13.104272Z digest=sha256:cf9be5412576d986bc810d414e4977d3e8205180f9ad170b4f334a8f4416debd

Observation d2e57624-1b10-4b9b-a97c-54970105909f · outbound

This paper cites Generative diffusion prior for unified image restoration and enhancement,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Generative diffusion prior for unified image restoration and enhancement,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.264077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.166717Z digest=sha256:eb9ba0ba86dbc7a3fb12d32fd774df8c5da01d175baad5df9507c21a987f9ea2

Observation 4694b58e-94ff-4339-9688-002faab9f990 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Exploiting diffusion prior for real-world image super-resolution,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.121005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.258385Z digest=sha256:cd866093f1f992a1dbda74c8219876d11f83d37889d6cc1065310a57adddd535

Observation 184eb82c-28c3-4e33-829e-e31750bc5fe1 · outbound

This paper cites Denoising Diffusion Implicit Models.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Denoising Diffusion Implicit Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:13.323081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:13.323081Z digest=sha256:b16f5fddcd9d9c136e4c826cee0774783c8b05abac6f4ce327e6b7b4d8e9201b

Observation f627b529-9292-4ae7-8c21-c23da413ddbc · outbound

This paper cites Image super-resolution using deep convolutional networks,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Image super-resolution using deep convolutional networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.976525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.385753Z digest=sha256:43c92d4a5095e016cb36df4131ef97da3e80fcfa7abb99b06e4271ac1009b919

Observation 8f23b2e0-5154-48d3-818a-f034e074f5a2 · outbound

This paper cites Compression artifacts reduction by a deep convolutional network,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Compression artifacts reduction by a deep convolutional network,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.827348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.463034Z digest=sha256:2c39950ff220d4dc11edb3928d5740e7dd6afd9d86a6058e0cf760b7786d5258

Observation 87f777d0-709d-45ab-9fae-f4c360fc4173 · outbound

This paper cites Attention is all you need,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Attention is all you need,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.692307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.529642Z digest=sha256:6ef33d66195c88814ffba12ba3cef5ff40df2228b6879439641dede572fe3771

Observation 9a60df31-4c16-4f1a-a857-32cd1164a1db · outbound

This paper cites Pre-trained image processing transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Pre-trained image processing transformer,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.574572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8f49671b-dc29-4738-b8be-e6f0e38f5624 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Restormer: Efficient transformer for high-resolution image restoration,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.429614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.704858Z digest=sha256:c824657b252667cead6851daeb40723cab320037207129963cf1aa27cd4a6fd3

Observation 8d8f4d37-4dee-49bc-82c0-d1b5feae7204 · outbound

This paper cites Gen- erative adversarial nets,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Gen- erative adversarial nets,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.322224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.772498Z digest=sha256:7ec6d8dcd2691d439647b52bb2e86f122dc2b14d81052c2323668662a8073794

Observation 03dd7916-9b90-436f-bb8b-c30dd99c5fd3 · outbound

This paper cites Diffusart: Enhancing line art colorization with conditional diffusion models,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Diffusart: Enhancing line art colorization with conditional diffusion models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.141082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.884319Z digest=sha256:35e904445bece2c6d8db576e642993a34bf7841702bcb605c31e45e9d13091f1

Observation 5611785f-40dd-4a6b-9625-7e754ca9dc8c · outbound

This paper cites Sinsr: Diffusion-based image super-resolution in a single step,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Sinsr: Diffusion-based image super-resolution in a single step,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.010471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:13.959125Z digest=sha256:883cff4ef2ec8f296b59332e876639e21199ee42472c688c34b17f9d7e0725e4

Observation 6f304128-173b-4bb0-ba8e-5b39776de4a4 · outbound

This paper cites Diffir: Efficient diffusion model for image restoration,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Diffir: Efficient diffusion model for image restoration,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.888238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.017658Z digest=sha256:0b2eb32d100b4ebe310781df1fa73c946a4b7792ecfaa5a1a878db6ab64507a6

Observation 528fb331-0a89-413a-bec2-b1cb08c937c2 · outbound

This paper cites Multiscale structure guided diffusion for image deblurring,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Multiscale structure guided diffusion for image deblurring,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.724855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.102214Z digest=sha256:6d190946697dc5cdb428e499157183ed79bc8daea0a22411161c58b33f94425b

Observation 8acc3aa5-4787-4b8b-9837-758059a5f3ee · outbound

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

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Learning transferable visual models from natural language supervision,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.594846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.174597Z digest=sha256:1bfcb777756f54eb760070be091351ed68d7712b9d16bfa4b66435ccb0dedd36

Observation d83b7058-f9fe-48b9-ae86-f983b701c1b3 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Exploiting diffusion prior for real-world image super-resolution,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.424465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.274834Z digest=sha256:b95cb186f169315f1dc2d7903a665c9bb43d08b4b3f1210fa0038968c18d487a

Observation a571f235-c982-49b7-8001-21e787e83764 · outbound

This paper cites To- wards robust blind face restoration with codebook lookup transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model To- wards robust blind face restoration with codebook lookup transformer,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.284418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.374968Z digest=sha256:fba6dd4956c10ee169e3649bc0ba966a6dc4a566429f1295d546fab2bb6564a8

Observation 4e1b5618-adfa-494b-bd7e-9607650a6d82 · outbound

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

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model The unreasonable effectiveness of deep features as a perceptual metric,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.130585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.447079Z digest=sha256:fe5c1e46089ad75a5a8a4c264b33bed9619170cc58685761fcbce4a1730d552f

Observation 88eec5f1-24dc-42c2-aaf0-20be849338e9 · outbound

This paper cites Exploring clip for assessing the look and feel of images,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Exploring clip for assessing the look and feel of images,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.999129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.506784Z digest=sha256:96c66139324e252317b03281c8bb8d7be7c631df9da425cda30bd788aef3544e

Observation db65aa7b-86f6-49c4-9855-50b693987e29 · outbound

This paper cites Musiq: Multi- scale image quality transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Musiq: Multi- scale image quality transformer,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.881502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.596281Z digest=sha256:f75089644c683c1f032d70144d18b9d502a405c12606592cf4d8f6c48626db2e

Observation e9c6ba1c-fa9a-423b-8058-dacb216cb0cc · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.675918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.659889Z digest=sha256:d8d12a564ebc74cc074beba65e8316bcd3d22ecde2958600ee61e9d80a38a9b4

Observation ef8237b0-0aae-4a8b-9c4f-afb9989adcde · outbound

This paper cites jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!),.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!),

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.548685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.726626Z digest=sha256:822f47ef69167384fd16275fbb30db6e76d022695737f9fd9956c3a45061e9d6

Observation c32823c6-c4e6-40c2-a8d8-3a737a730426 · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Toward real-world single image super-resolution: A new benchmark and a new model,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.396076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.801824Z digest=sha256:d7f0e75a6cd1c7ffb4d34b3c9614fdd3b605f24fc5cd324a1c5704cde122b233

Observation 1f20663c-2e28-4e75-8e54-e4eb2e560162 · outbound

This paper cites Component divide-and-conquer for real-world image super-resolution,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Component divide-and-conquer for real-world image super-resolution,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.205772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.882028Z digest=sha256:0d81abdfcb6adff3bf7d3835fa3bebe50887be2fc95d64dd25293167adb9df22

Observation c1dd6dae-31e4-4c7c-92a5-92039efdbad4 · outbound

This paper cites Real-esrgan: Training real- world blind super-resolution with pure synthetic data,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Real-esrgan: Training real- world blind super-resolution with pure synthetic data,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.058698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:14.978202Z digest=sha256:126e69881f27e9a39604fe3168d652aaf3495fd788fd4a4c99f2f19072384d64

Observation 9d29e550-b555-4a46-8e8d-9ede81675ea0 · outbound

This paper cites Cdformer: When degradation prediction embraces diffusion model for blind image super-resolution,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Cdformer: When degradation prediction embraces diffusion model for blind image super-resolution,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:15.911746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:15.052007Z digest=sha256:5d5daaeafb8b7f1101cb544248a5443cbd488271c7ffba2020d0498b0018ae1b

Observation ee7f2b6a-00f7-464b-9bb3-77614184847f · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:15.760773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:15.151704Z digest=sha256:916265e5751b70781c787e2215331f05440489204a0be90284ca075e0cb1850a

Observation a4179677-43f2-498c-ae5e-980217eaa3fa · outbound

This paper cites Unicolor: A unified framework for multi-modal coloriza- tion with transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Unicolor: A unified framework for multi-modal coloriza- tion with transformer,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:15.635089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:15.246492Z digest=sha256:53504c6fa9d59506f75c1a549a47f59bf7d2a20be3009293fa3141c24235d2c5

Observation 969bb135-0ea8-420e-9584-2f42151e3df4 · outbound

This paper cites L-code: Language-based colorization using color-object decoupled conditions,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model L-code: Language-based colorization using color-object decoupled conditions,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:15.515068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:32:15.310799Z digest=sha256:ac51c433d6a6ce7f369ddebd1497e3f70ae49e4697578c3811aa89ae3ba06d3f

Pith citing papers

No inbound Pith citation observations are available.