Paper Citation Record · LEDGER

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2508.07590.

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

pith.paper-citation-record.v1
2508.07590 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:03:04.933293Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:30:19.079314Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:30:19.182823Z

Reference resolution

25 of 25 outbound references displayed

verified exact1
verified fuzzy19
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22bd3149-840a-4a5e-9986-4b5e555d3239 · outbound

This paper cites write newline.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T22:03:04.818546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8f84ae5-033f-48a2-9c21-3f9a07815669 · outbound

This paper cites Face image quality assessment: A literature survey.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Face image quality assessment: A literature survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.353524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e12b373f-6f70-49f1-a6d3-4f72cad9c4a9 · outbound

This paper cites Lightweight deep learning for resource-constrained environments: A survey.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Lightweight deep learning for resource-constrained environments: A survey

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.339063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c85300cf-baed-4083-aaee-b6f80674a5ee · outbound

This paper cites Searching for mobilenetv3.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Searching for mobilenetv3

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.322637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e733bf55-c57e-4447-a9ce-6bcefe2d8899 · outbound

This paper cites A deep insight into measuring face image utility with general and face-specific image quality metrics.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training A deep insight into measuring face image utility with general and face-specific image quality metrics

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.307828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 94ef5417-efd2-4352-81ed-3c2d00c9ca94 · outbound

This paper cites Aniano Porcile, Jack Gindi, Shivansh Mundra, James R.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Aniano Porcile, Jack Gindi, Shivansh Mundra, James R

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.291539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c170b128-a965-4346-a531-29c11652ddaf · outbound

This paper cites Learning face image quality from human assessments.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Learning face image quality from human assessments

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.275245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 93574e7c-b848-4838-8bb8-54dcd9bc3dce · outbound

This paper cites Biometric Quality: Review and Application to Face Recognition with FaceQnet.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Biometric Quality: Review and Application to Face Recognition with FaceQnet

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T22:03:04.856328Z

Source-reported events for the cited work

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Observation c1816c8d-147f-4c45-8023-305f7427cee8 · outbound

This paper cites Inducing Predictive Uncertainty Estimation for Face Recognition.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Inducing Predictive Uncertainty Estimation for Face Recognition

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:03:05.025267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b17a0fbb-84b5-43ef-bc1b-da6cad27d8a2 · outbound

This paper cites Sdd-fiqa: unsupervised face image quality assessment with similarity distribution distance.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Sdd-fiqa: unsupervised face image quality assessment with similarity distribution distance

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.259584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 462c5209-62c4-4826-a616-08b103a483b0 · outbound

This paper cites Cr-fiqa: face image quality assessment by learning sample relative classifiability.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Cr-fiqa: face image quality assessment by learning sample relative classifiability

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.244301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb112e6c-30f6-4dd1-b873-7eb09a846626 · outbound

This paper cites Dsl-fiqa: Assessing facial image quality via dual-set degradation learning and landmark-guided transformer.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Dsl-fiqa: Assessing facial image quality via dual-set degradation learning and landmark-guided transformer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.228269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c48f2170-140b-4df1-8572-4397e48d7162 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T22:03:04.880091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a70f3ca-0f9c-4847-83e7-d281661b8100 · outbound

This paper cites Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.212633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1f96703-e369-448f-8581-52fa646632be · outbound

This paper cites Searching for fast model families on datacenter accelerators.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Searching for fast model families on datacenter accelerators

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.198120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1e905c2b-01cf-41dc-be0b-90bb0a92f30f · outbound

This paper cites Rethinking bottleneck structure for efficient mobile network design.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Rethinking bottleneck structure for efficient mobile network design

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.180882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f94aca73-c2bd-4688-9a04-11560c94d0ed · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Shufflenet v2: Practical guidelines for efficient cnn architecture design

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.166412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29bcc623-c4ac-409c-99b5-c481c13b761c · outbound

This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Shufflenet: An extremely efficient convolutional neural network for mobile devices

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T22:03:04.902141Z

Source-reported events for the cited work

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Observation 19fbfd16-2c43-4364-8b63-d9d7675ad106 · outbound

This paper cites Ghostnet: More features from cheap operations.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Ghostnet: More features from cheap operations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.140866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 38037881-0346-4258-ace0-3328bc43314e · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.124220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb81823f-830b-48b9-9e34-9967c14af7c4 · outbound

This paper cites Efficientnetv2: Smaller models and faster training.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Efficientnetv2: Smaller models and faster training

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.108781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7ad36a41-fe32-4c04-afae-056fdec86213 · outbound

This paper cites Fixing the train-test resolution discrepancy.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Fixing the train-test resolution discrepancy

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.093508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ef8ac997-0988-43bb-876b-1d3b716b71fb · outbound

This paper cites Continual learning for blind image quality assessment.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Continual learning for blind image quality assessment

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.078138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1709eafd-56d3-415a-89ac-8903c4bcc903 · outbound

This paper cites Remember and reuse: Cross-task blind image quality assessment via relevance-aware incremental learning.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Remember and reuse: Cross-task blind image quality assessment via relevance-aware incremental learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:03:05.061367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d1de943c-3318-43be-a55e-d75e8327cbaa · outbound

This paper cites A strong baseline for image and video quality assessment.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training A strong baseline for image and video quality assessment

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T22:03:04.933293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 855f4005-226c-4a3b-9c75-c617e6ed462b · inbound

VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results cites this paper.

VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:30:19.187949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.