Paper Citation Record · LEDGER

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement

As of 21 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 5 inbound Pith citation observations for arXiv:2505.12266.

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

pith.paper-citation-record.v1
2505.12266 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:49.136567Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:31:18.811556Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:42:17.444664Z

Reference resolution

75 of 75 outbound references displayed

verified exact1
verified fuzzy37
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 757dfd64-fc1b-4373-8f20-3718acaf2351 · outbound

This paper cites Depth-aware video frame interpolation.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Depth-aware video frame interpolation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:50.008373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8189595b-fea3-423a-b5af-2d25bd5c3a40 · outbound

This paper cites An empirical comparison of voting classification algorithms: Bagging, boosting, and variants.Machine learning, 36:105–139, 1999.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement An empirical comparison of voting classification algorithms: Bagging, boosting, and variants.Machine learning, 36:105–139, 1999

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.995873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03109f90-4a39-4434-b4e9-09fab56fcddb · outbound

This paper cites Real-time video super-resolution with spatio-temporal networks and motion compensation.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Real-time video super-resolution with spatio-temporal networks and motion compensation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.809002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f54ce13-665d-45eb-a889-8946ee0ce7f6 · outbound

This paper cites Video Super-Resolution Transformer.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Video Super-Resolution Transformer

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.813029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c08156f0-1228-4925-8ff2-d0072a3fc1b1 · outbound

This paper cites Basicvsr: The search for essential components in video super-resolution and beyond.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Basicvsr: The search for essential components in video super-resolution and beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.817443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a610c0c-aef5-4393-9f21-120f73e66a43 · outbound

This paper cites Basicvsr++: Improv- ing video super-resolution with enhanced propagation and alignment.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Basicvsr++: Improv- ing video super-resolution with enhanced propagation and alignment

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.821447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c28666-1cf6-481c-8389-5f6fbf66e8fb · outbound

This paper cites Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.825847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92af4f8f-eeff-4c11-8e14-2bd8864e771f · outbound

This paper cites Binarized Diffusion Model for Image Super-Resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Binarized Diffusion Model for Image Super-Resolution

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.829931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d44a1c-8b80-47da-9d6a-b734e89b182c · outbound

This paper cites Channel attention is all you need for video frame interpolation.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Channel attention is all you need for video frame interpolation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.960331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6744d4d2-5a0d-4edc-a24d-6c7f66d25dbb · outbound

This paper cites Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.838057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce851671-6348-445e-945e-e14236e87c61 · outbound

This paper cites QMambaBSR: Burst Image Super-Resolution with Query State Space Model.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement QMambaBSR: Burst Image Super-Resolution with Query State Space Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.842417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0519c61c-cc05-4c63-a00d-44dfd46ebb2c · outbound

This paper cites Rstt: Real-time spatial temporal transformer for space-time video super-resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Rstt: Real-time spatial temporal transformer for space-time video super-resolution

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.846534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b8157a-e65a-4f65-9061-4b40b3e38733 · outbound

This paper cites Openvino deep learning workbench: Comprehensive analysis and tuning of neural networks inference.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Openvino deep learning workbench: Comprehensive analysis and tuning of neural networks inference

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.939992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db116826-82ec-4366-ba73-217af881b11a · outbound

This paper cites Knowledge distillation: A survey.International Journal of Computer Vision, 129(6):1789–1819, 2021.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Knowledge distillation: A survey.International Journal of Computer Vision, 129(6):1789–1819, 2021

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.854022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e56646f-df4f-470c-a205-591464678ffa · outbound

This paper cites Space-time-aware multi- resolution video enhancement.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Space-time-aware multi- resolution video enhancement

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.920236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 623b1c23-1098-4cf4-bd12-b5640813ce62 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Gaussian Error Linear Units (GELUs)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.861982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 912bb689-9d2b-477e-a361-3975bf7788a0 · outbound

This paper cites Daq: Channel- wise distribution-aware quantization for deep image super-resolution networks.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Daq: Channel- wise distribution-aware quantization for deep image super-resolution networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.907213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d47b5f6b-6b76-4f8c-b959-77a9550cded5 · outbound

This paper cites Real-time inter- mediate flow estimation for video frame interpolation.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Real-time inter- mediate flow estimation for video frame interpolation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.894480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aed3de82-1fbf-46b0-aec8-3e28fe0ecc92 · outbound

This paper cites Ai benchmark: Running deep neural networks on android smartphones.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Ai benchmark: Running deep neural networks on android smartphones

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.881260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 718a0fe1-3bf2-4882-8a55-b94539c641e7 · outbound

This paper cites Video super- resolution with recurrent structure-detail network.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Video super- resolution with recurrent structure-detail network

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.879836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87377845-ec09-4eb6-9404-90f39f06b927 · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Quantization and training of neural networks for efficient integer-arithmetic-only inference

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.888008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb09c16a-6ef5-45bb-834b-c842a2552e33 · outbound

This paper cites Neighbor correspondence matching for flow-based video frame synthesis.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Neighbor correspondence matching for flow-based video frame synthesis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.852835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05ef11bc-1b1b-4f1e-9c2a-afc264e4c7ec · outbound

This paper cites Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.896494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b8e833-f65f-47e5-acf6-47fe7e854a5c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Adam: A Method for Stochastic Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.900628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e6703c-70f8-4c34-9ce0-319a5f402298 · outbound

This paper cites Pams: Quantized super-resolution via parameterized max scale.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Pams: Quantized super-resolution via parameterized max scale

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.833798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 000642a4-eb85-46a0-806b-ee174d091604 · outbound

This paper cites Fully quantized network for object detection.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Fully quantized network for object detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.908914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730e4c55-b480-491f-b296-d1e85846f413 · outbound

This paper cites Mucan: Multi-correspondence aggregation network for video super-resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Mucan: Multi-correspondence aggregation network for video super-resolution

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.912826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 182ae6d2-6b93-490e-98cb-52ed6c7c0633 · outbound

This paper cites BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.916751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920f5bad-5b0a-4e51-b783-eafd8d376acd · outbound

This paper cites Repq-vit: Scale reparameterization for post-training quantization of vision transformers.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Repq-vit: Scale reparameterization for post-training quantization of vision transformers

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.807352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a8eb424-018d-4109-a41f-c2f25fc62a2b · outbound

This paper cites Swinir: Image restoration using swin transformer.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Swinir: Image restoration using swin transformer

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.924911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3efcbfb-9bfe-4fd8-ab60-b95892d873ae · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Enhanced deep residual networks for single image super-resolution

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.929197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c07bdce-2a3e-4152-8c04-64ad32e74ed3 · outbound

This paper cites Efficient low-bit quantization with adaptive scales for multi-task co-training.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Efficient low-bit quantization with adaptive scales for multi-task co-training

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.778510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 458d02a8-2201-4c67-8de3-4c00271618b9 · outbound

This paper cites On bayesian adaptive video super resolution.IEEE transactions on pattern analysis and machine intelligence, 36(2):346–360, 2013.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement On bayesian adaptive video super resolution.IEEE transactions on pattern analysis and machine intelligence, 36(2):346–360, 2013

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.766357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f40edea9-dedf-4fdf-b33e-60e01e5c83e3 · outbound

This paper cites Sparse global matching for video frame interpolation with large motion.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Sparse global matching for video frame interpolation with large motion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.754258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e3ab7db7-69c1-42e1-86cc-c80edf066fc6 · outbound

This paper cites 2dquant: Low-bit post-training quantization for image super-resolution.Advances in Neural Information Processing Systems, 37:71068–71084, 2024.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement 2dquant: Low-bit post-training quantization for image super-resolution.Advances in Neural Information Processing Systems, 37:71068–71084, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.742041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ed0f7ec-0659-4640-b2f7-ace2391db177 · outbound

This paper cites CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:40:49.260325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7342c0db-90e5-46d9-b05b-6011f018b851 · outbound

This paper cites Noisyquant: Noisy bias-enhanced post-training activation quantization for vision transformers.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Noisyquant: Noisy bias-enhanced post-training activation quantization for vision transformers

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.729787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d8bc7800-7eb6-4452-9a34-b993f5e715e0 · outbound

This paper cites Nonuniform-to- uniform quantization: Towards accurate quantization via generalized straight-through estimation.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Nonuniform-to- uniform quantization: Towards accurate quantization via generalized straight-through estimation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.717279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fab8349b-ab98-401d-a9e8-32a683eae54e · outbound

This paper cites Video frame synthesis using deep voxel flow.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Video frame synthesis using deep voxel flow

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.962067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc4e4fa-3756-480a-acca-e35587cd1aec · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.965696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59d7170b-2e28-492e-9407-200c26f6a216 · outbound

This paper cites Video frame interpolation with transformer.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Video frame interpolation with transformer

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.697440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5640bb0d-8454-4b19-8ba3-db6b9ccdb460 · outbound

This paper cites Outlier-aware slicing for post-training quantization in vision transformer.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Outlier-aware slicing for post-training quantization in vision transformer

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.684744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a30a29a6-53d1-4bd6-81f4-676c584bd307 · outbound

This paper cites completely blind.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement completely blind

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.981382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6515df34-4ceb-41e0-a1bc-f71c3ad2f0ae · outbound

This paper cites Instance-aware group quantization for vision transformers.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Instance-aware group quantization for vision transformers

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.985384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec62674-da8e-420c-9885-dd75d8dea83e · outbound

This paper cites Context-aware synthesis for video frame interpolation.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Context-aware synthesis for video frame interpolation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.655475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f17e7bc5-d83b-4483-9a10-373bb0821ae8 · outbound

This paper cites Biformer: Learning bilateral motion estimation via bilateral transformer for 4k video frame interpolation.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Biformer: Learning bilateral motion estimation via bilateral transformer for 4k video frame interpolation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.642468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b7d5a99-8468-482f-99b3-a7b1504cb46a · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:48.997760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 767c39cb-a355-46df-a791-d694602adef0 · outbound

This paper cites Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.001578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e10bff-12a3-4ce9-9bdf-7ed9355b9d64 · outbound

This paper cites Towards Realistic Data Generation for Real-World Super-Resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Towards Realistic Data Generation for Real-World Super-Resolution

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.005562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56bb2af4-8b6b-45bc-b1f1-cee3e40e4e88 · outbound

This paper cites Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.017298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d53873-4ae8-411e-8dfb-adc015e56706 · outbound

This paper cites Boosting image de-raining via central-surrounding synergistic convolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Boosting image de-raining via central-surrounding synergistic convolution

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.629810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9bc8c70b-d33f-46fc-ab42-1053066fdbc8 · outbound

This paper cites Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.027581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f11c468b-0b60-43e4-918e-6d2f06c381a6 · outbound

This paper cites Quantsr: accurate low-bit quantization for efficient image super-resolution.Advances in Neural Information Processing Systems, 36:56838–56848, 2023.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Quantsr: accurate low-bit quantization for efficient image super-resolution.Advances in Neural Information Processing Systems, 36:56838–56848, 2023

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.616805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c996aaf-c42c-4f4f-8415-d3d3bf18ea7e · outbound

This paper cites Rethinking alignment in video super-resolution transformers.Advances in Neural Information Processing Systems, 35:36081–36093, 2022.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Rethinking alignment in video super-resolution transformers.Advances in Neural Information Processing Systems, 35:36081–36093, 2022

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.604190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 537d90f6-8d35-4624-8d57-bfc7ddb36176 · outbound

This paper cites Detail-revealing deep video super-resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Detail-revealing deep video super-resolution

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.041662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cca99863-7bc9-4fad-8986-2a5edfb7b78a · outbound

This paper cites Toward accurate post-training quantization for image super resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Toward accurate post-training quantization for image super resolution

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.583865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 492570b6-e539-43b2-9786-14e8663fd040 · outbound

This paper cites Efficient inference with tensorrt.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Efficient inference with tensorrt

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.570578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7ef52fa-26b7-448b-8453-820a568d3a46 · outbound

This paper cites Stdan: deformable attention network for space-time video super-resolution.IEEE Transactions on Neural Networks and Learning Systems, 2023.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Stdan: deformable attention network for space-time video super-resolution.IEEE Transactions on Neural Networks and Learning Systems, 2023

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.557552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4abc4003-c7a0-4e18-a7b0-ec156ffb620a · outbound

This paper cites Edvr: Video restoration with enhanced deformable convolutional networks.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Edvr: Video restoration with enhanced deformable convolutional networks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.062158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58a4ff56-4460-43fe-b82c-f4b2bd9ff9b6 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4): 600–612, 2004.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4): 600–612, 2004

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.066528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be1fbff-b33c-4367-82cc-e3b49f495006 · outbound

This paper cites Adalog: Post- training quantization for vision transformers with adaptive logarithm quantizer.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Adalog: Post- training quantization for vision transformers with adaptive logarithm quantizer

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.071850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb9113cd-699d-4914-8e10-257b5eed9868 · outbound

This paper cites Zooming slow-mo: Fast and accurate one-stage space-time video super-resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Zooming slow-mo: Fast and accurate one-stage space-time video super-resolution

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.517673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 440f589f-322f-4e4f-b417-51b6692542f8 · outbound

This paper cites Temporal modulation network for controllable space-time video super-resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Temporal modulation network for controllable space-time video super-resolution

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.082633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34937371-d5e9-4b50-ba26-df4e4421b7ff · outbound

This paper cites Enhancing video super-resolution via implicit resampling-based alignment.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Enhancing video super-resolution via implicit resampling-based alignment

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.497631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 972f88ee-9fac-4632-832e-6b24ca455d3e · outbound

This paper cites Video enhancement with task-oriented flow.International Journal of Computer Vision, 127:1106–1125, 2019.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Video enhancement with task-oriented flow.International Journal of Computer Vision, 127:1106–1125, 2019

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.092091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f4d9e1b-2aa8-4f28-acfd-9c4ade0eb3ed · outbound

This paper cites Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.096696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 912b9416-97a6-4fb1-8655-a6bfe02524c7 · outbound

This paper cites Extracting motion and appearance via inter-frame attention for efficient video frame interpola- tion.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Extracting motion and appearance via inter-frame attention for efficient video frame interpola- tion

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.469969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad7843ef-32e5-4721-be1f-2aef1b379919 · outbound

This paper cites Vfimamba: Video frame interpolation with state space models.Advances in Neural Information Processing Systems, 37:107225–107248, 2024.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Vfimamba: Video frame interpolation with state space models.Advances in Neural Information Processing Systems, 37:107225–107248, 2024

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.457224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8b87429-f726-4e81-b628-0b0d2abb7779 · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:49.113107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b353e290-fce8-4bdb-8624-6a938d8b27fe · outbound

This paper cites Flexible residual binarization for image super-resolution.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Flexible residual binarization for image super-resolution

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.434589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 192d599f-9eba-4f1e-88a1-6b2fb599685a · outbound

This paper cites Erq: Error reduction for post-training quantization of vision transformers.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Erq: Error reduction for post-training quantization of vision transformers

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.420343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf44c52e-e710-48f1-af3f-f174809bb632 · outbound

This paper cites Clearer frames, anytime: Resolving velocity ambiguity in video frame interpolation.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Clearer frames, anytime: Resolving velocity ambiguity in video frame interpolation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.407447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 774557b8-3872-4e61-9650-05c1bba0888b · outbound

This paper cites How video super-resolution and frame interpolation mutually benefit.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement How video super-resolution and frame interpolation mutually benefit

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.394423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1dbea894-b0c4-4d42-957b-cdeb83754988 · outbound

This paper cites Video super-resolution transformer with masked inter&intra-frame attention.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Video super-resolution transformer with masked inter&intra-frame attention

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.381280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 485f9e07-95bb-41e4-a213-f904b3d1bb2d · outbound

This paper cites Dual detrs for multi- label temporal action detection.

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Dual detrs for multi- label temporal action detection

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:40:49.368748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 3e73855c-1be5-4b01-8170-f4df45bbbf38 · inbound

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment cites this paper.

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T05:31:18.811556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e00036-4fc5-40c6-809f-0492eaa9afd0 · inbound

Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution cites this paper.

Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:42:17.449224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb466896-b138-4f36-8c8c-369e4230e6de · inbound

Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution cites this paper.

Transformer-Progressive Mamba Network for Lightweight Image Super-Resolution PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T06:53:43.584857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0294db1b-7124-4439-827f-10a48cc48eb6 · inbound

V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence cites this paper.

V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:08:59.821479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73113ddc-4764-4b66-b856-ad596948f8a2 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement

Reference 272

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:03:26.063179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.