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Paper Citation Record · LEDGER

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.09293.

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

pith.paper-citation-record.v1
2411.09293 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:51:17.803753Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 exact2
  • verified fuzzy30
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ffa0529b-3ed2-4ade-bb35-2fb1b5c8a268 · outbound

This paper cites GPT-4 Technical Report.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation 955019a2-5485-43fd-ac76-eb9705905aba · outbound

This paper cites Glean: Generative latent bank for image super-resolution and beyond.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Glean: Generative latent bank for image super-resolution and beyond

Reference 2

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Observation 14dd51cb-146a-45ce-a136-de80fba08bd6 · outbound

This paper cites Chan, Xiangyu Xu, Xintao Wang, Jinwei Gu, and Chen Change Loy.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Chan, Xiangyu Xu, Xintao Wang, Jinwei Gu, and Chen Change Loy

Reference 3

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Source-reported events for the cited work

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Observation ac8fd108-6688-402b-b22a-07bbd65dae75 · outbound

This paper cites an unresolved cited work.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 7cdba756-6af9-4a28-9cf9-384647548b6e · outbound

This paper cites Blind face restoration under extreme conditions: Leveraging 3d-2d prior fusion for superior structural and texture recovery.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Blind face restoration under extreme conditions: Leveraging 3d-2d prior fusion for superior structural and texture recovery

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 61a238a0-9b37-4322-a425-e716981760ff · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 06073502-c5e3-459a-9779-5516e9d0e9a4 · outbound

This paper cites Image super-resolution using deep convolutional net- works.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Image super-resolution using deep convolutional net- works

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation aedc9f9d-4e44-4e65-b15d-68ab07cf3f31 · outbound

This paper cites The elements of end-to-end deep face recogni- tion: A survey of recent advances.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution The elements of end-to-end deep face recogni- tion: A survey of recent advances

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 794e7295-3c10-49c1-b63d-c12fbc1dbb8d · outbound

This paper cites Ctcnet: A cnn-transformer co- operation network for face image super-resolution.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Ctcnet: A cnn-transformer co- operation network for face image super-resolution

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cea69dae-4266-4e60-a0fc-30f2d53db657 · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Implicit diffusion models for continuous super-resolution

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 899c1ab4-ff67-4c6d-8e99-dae4e1ee0298 · outbound

This paper cites Semi-cycled generative adver- sarial networks for real-world face super-resolution.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Semi-cycled generative adver- sarial networks for real-world face super-resolution

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c9afbd72-f65a-4b4c-8cd0-e0f41c67af34 · outbound

This paper cites Deep learning-based face super-resolution: A survey.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Deep learning-based face super-resolution: A survey

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e7ef365f-f441-40e8-94ba-409c5289777a · outbound

This paper cites Prompting visual-language models for efficient video understanding.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Prompting visual-language models for efficient video understanding

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.728669Z digest=sha256:c4893d7408dadb2efdf8ac972a31c430027bd63601e70bc68e6b1cb3731a4c7b

Observation f11f03c9-d8bb-41a8-aba9-fcc7d81f4bd1 · outbound

This paper cites Segment Anything.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Segment Anything

Reference 14

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unresolved
no resolver link, observed 2026-08-12T20:51:17.731427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:17.731427Z digest=sha256:432a0488901d1b306695c6e48480b2b7031ce3b70be41c896b93a7e785d16f90

Observation a712a5be-2fdc-4b47-be3f-0f0b37fd3543 · outbound

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

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6a04bbf9-86e3-4a9e-88c8-258536b6e4a8 · outbound

This paper cites Efficient face super-resolution via wavelet-based feature enhancement network.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Efficient face super-resolution via wavelet-based feature enhancement network

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 882f6bc1-6193-43f3-87d4-f3bc42850d13 · outbound

This paper cites Face hallucination via split-attention in split-attention network.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Face hallucination via split-attention in split-attention network

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1c9548c2-829a-4232-b4d4-ea099368264f · outbound

This paper cites Deep face super-resolution with iterative collabora- tion between attentive recovery and landmark estimation.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Deep face super-resolution with iterative collabora- tion between attentive recovery and landmark estimation

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b66fdada-d880-49fe-85a1-961e488284a1 · outbound

This paper cites Pulse: Self-supervised photo upsampling via latent space exploration of generative models.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Pulse: Self-supervised photo upsampling via latent space exploration of generative models

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 44159926-95e3-4c6d-b1de-d275704dd53c · outbound

This paper cites Waveface: Authentic face restoration with efficient frequency recovery.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Waveface: Authentic face restoration with efficient frequency recovery

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.747973Z digest=sha256:9f454e7606eeb85c3ef7d5ff1e8794f0e31eeb23f863320ac2255daab33b9a6f

Observation d1649760-b72d-48e0-a39c-000df7be0c14 · outbound

This paper cites completely blind.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution completely blind

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 361cfe79-3a7f-44d2-a952-0335a81bcf81 · outbound

This paper cites Grit: Faster and better image captioning trans- former using dual visual features.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Grit: Faster and better image captioning trans- former using dual visual features

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 626053c7-4444-49d3-ae71-5fdef1eab891 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Learning transferable visual models from natural language supervi- sion

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:17.756388Z digest=sha256:c171c349fc4062827bebc660898c235b22ab58366074ddcdbad208f1acca15eb

Observation 80d8494d-01d3-43f6-b17a-247636c15c24 · outbound

This paper cites Lightface: A hybrid deep face recognition framework.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Lightface: A hybrid deep face recognition framework

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation db4d86f6-e2eb-4796-8303-a495b75c418c · outbound

This paper cites Spatial-frequency mutual learning for face super- resolution.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Spatial-frequency mutual learning for face super- resolution

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 76242042-bf9c-4dfd-ad1d-ac0a203a2353 · outbound

This paper cites To- wards real-world blind face restoration with generative fa- cial prior.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution To- wards real-world blind face restoration with generative fa- cial prior

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.765824Z digest=sha256:43a54fa807ee723b56d23eef8951c3ae7aa3316590f2b8b12b93d0f60d632268

Observation f9132fe9-4b8f-4f36-9e84-80cbe0079199 · outbound

This paper cites Panini-net: Gan prior based degradation-aware feature interpolation for face restoration.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Panini-net: Gan prior based degradation-aware feature interpolation for face restoration

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:51:17.969079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.768595Z digest=sha256:7b692f1c60d3691697eb3dfa142a9dd7f7580a5fee65af0ae9abcfbba86539f2

Observation 07e51944-e155-4a86-a826-fd05953152bc · outbound

This paper cites Gan prior based null-space learning for consistent super- resolution.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Gan prior based null-space learning for consistent super- resolution

Reference 28

Resolution
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raw_fallback, observed 2026-08-12T20:51:17.959866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.771360Z digest=sha256:ad7a4dc58b65e7602723881cd4af1b2739f8775e234f1f8738f71fb1d918c192

Observation 6541ee2c-2c83-4154-b401-1df765d491e7 · outbound

This paper cites Faceformer: Aggregating global and local representation for face hallucination.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Faceformer: Aggregating global and local representation for face hallucination

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-12T20:51:17.951048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.774375Z digest=sha256:90bf1ab990a9d06c1b769af8e45d4dd9fa969d8d418644bb9b6b7b632e4b3f86

Observation bfd5234a-9986-48dc-9213-525c4c987921 · outbound

This paper cites an unresolved cited work.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Unresolved cited work

Reference 30

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.777052Z digest=sha256:4b139d12564d3a44a1f7e1c00953d90aaf23cabd08e949aedb1b553b94f3cd6c

Observation 9bfc9480-acd5-4c4c-89b4-5dd7733b0d19 · outbound

This paper cites Dr2: Diffusion-based robust degradation remover for blind face restoration.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Dr2: Diffusion-based robust degradation remover for blind face restoration

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:51:17.933121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.780316Z digest=sha256:a04bd6a5789934c24fd9315cffab619e863842218e527330bc284a8b72c29fd4

Observation a7ddd5e5-03d1-4d6f-bdc2-1fb1f2ea089c · outbound

This paper cites Tedigan: Text-guided diverse face image generation and ma- nipulation.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Tedigan: Text-guided diverse face image generation and ma- nipulation

Reference 32

Resolution
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raw_fallback, observed 2026-08-12T20:51:17.924271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.783639Z digest=sha256:227439e19c01a3cf2700d11d73e0dc567a3899ca0d65e2f04645e199d35090b9

Observation ca5ee371-e185-4149-bca3-1d510c96b28e · outbound

This paper cites Towards Open-World Text-Guided Face Image Generation and Manipulation.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Towards Open-World Text-Guided Face Image Generation and Manipulation

Reference 33

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verified exact
local_arxiv, observed 2026-08-12T20:51:17.844053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.786577Z digest=sha256:b3d66b7e970bf1a3fadbf399519d63afa99b3f9555addc78429f8f2deb2b87d1

Observation d8e446c4-6139-4ca2-8f9c-6ae8ce4f3338 · outbound

This paper cites A Dive into SAM Prior in Image Restoration.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution A Dive into SAM Prior in Image Restoration

Reference 34

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verified exact
local_arxiv, observed 2026-08-12T20:51:17.831399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.789612Z digest=sha256:3ccca84a27d24d3c5eba8b7852815c4717224c3dfc2eef45e7363ff245aca48c

Observation 7303a273-ce0b-4741-8cf6-68279ae66a4a · outbound

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

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Depth anything: Unleashing the power of large-scale unlabeled data

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:51:17.914544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.792595Z digest=sha256:1e3a9f2f7740899ad426730947c72919fc263bd39435f568f95183d37aed3f50

Observation f6440470-c693-4692-963b-1a506a4aef23 · outbound

This paper cites Multiprior learning via neural architec- ture search for blind face restoration.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Multiprior learning via neural architec- ture search for blind face restoration

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:51:17.905122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.795293Z digest=sha256:9bbdbdc5a6f9f8a881f3acb27a34c0463556e0b261d85b719c66c582bd81bb1f

Observation db9d0e94-c45d-4bc2-9b77-b34da473a71e · outbound

This paper cites Zhang, P.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Zhang, P

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:51:17.895934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.798335Z digest=sha256:e306b778c7db68427e3bedabb697ecebd216a49d274326a5e34a1758ba5fafdf

Observation 35c7be7f-3481-4940-8f74-baa017925196 · outbound

This paper cites A survey of deep facial attribute analysis.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution A survey of deep facial attribute analysis

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:51:17.887043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.801045Z digest=sha256:b5ec5f281a80f243e95574d2c1b877cb609ad892d6e6ae6bd79dfd55d09e8576

Observation e2f17247-9c0c-453c-a6f1-ce23f2f14d4c · outbound

This paper cites Blind face restora- tion via integrating face shape and generative priors.

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution Blind face restora- tion via integrating face shape and generative priors

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:51:17.877923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T20:51:17.803753Z digest=sha256:ffa37db1beca5ed03767e15522292d9dc75f9c0feba548546faa3ce6dc385e82

Pith citing papers

No inbound Pith citation observations are available.