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Paper Citation Record · LEDGER

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2604.17007.

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

pith.paper-citation-record.v1
2604.17007 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:33:25.731730Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd1e4d75-3d18-432b-9377-ae884866e1a3 · outbound

This paper cites https://susanqq.github.io/UTKFace/.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment https://susanqq.github.io/UTKFace/

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.154778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 38fb2ba8-0fbf-492f-9e52-de4ad2d9c599 · outbound

This paper cites Age estimation via face images: a survey.EURASIP Journal on Image and Video Processing, 2018(1):42.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Age estimation via face images: a survey.EURASIP Journal on Image and Video Processing, 2018(1):42

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.151663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:699831831a55376839467efa1f6b2976db2c77cdf4f54f180ee39b0f576ff252

Observation 4031516c-d9e7-4201-9435-466885c589c9 · outbound

This paper cites DAA: A delta age adain operation for age estimation via binary code transformer.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment DAA: A delta age adain operation for age estimation via binary code transformer

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.147981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4022bb71-b9e8-40d1-b792-f05d4c6dfe2b · outbound

This paper cites Using ranking-CNN for age estimation.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Using ranking-CNN for age estimation

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.139008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:a82d88ab6ef7942f701a2c7dac45354e0c1c357910ea68baf224922b4f39222a

Observation fe9b7217-7538-48d6-bb83-9d381f80a51e · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Imagenet: A large-scale hierarchical image database

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.163106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:2a2dfc3b3b2c869565a3f367656def012521c60244775a5089223d7bc1a86c31

Observation debaa14b-276c-410f-8ba6-8895524baa32 · outbound

This paper cites Age and gen- der estimation of unfiltered faces.IEEE Transactions on Information Forensics and Security, 9(12):2170–2179.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Age and gen- der estimation of unfiltered faces.IEEE Transactions on Information Forensics and Security, 9(12):2170–2179

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.127347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:0d48945a9c61d7d0c96f18a20c246120ad1f0410558a1ec800a340c453663b5f

Observation 8f50f237-4fac-4b5a-b2f8-32c9415024ff · outbound

This paper cites an unresolved cited work.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-05-21T13:15:10.160636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:6f3a74456454c5e1e55d70d683b43816d207f35441c9299a064b3d12794ad15d

Observation 63fcb8a1-8f4f-41cc-9acb-f1290134ce80 · outbound

This paper cites LEMUR Neural Network Dataset: Towards Seamless AutoML.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 8

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verified exact
arxiv_id, observed 2026-06-02T03:03:59.122865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:838f0714ad7a3baf6cb317968adc8082b6ce0f1bb8e1b48b66f331abcf4af2b3

Observation 88f8d1ec-e814-4458-b0e0-fd31eee238a6 · outbound

This paper cites Data- dependent label distribution learning for age estimation.IEEE Transactions on Image Processing, 26(8):3846–3858.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Data- dependent label distribution learning for age estimation.IEEE Transactions on Image Processing, 26(8):3846–3858

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.136304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:75e2571c554456bcb9f91ff4952721032ac16e4e1add3d0f8a88b46a1f440861

Observation adbe99ab-8ab0-4be5-8cea-68a3e1af55fb · outbound

This paper cites Le, and Hartwig Adam.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Le, and Hartwig Adam

Reference 10

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raw_fallback, observed 2026-05-21T13:15:10.141522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:12a55941df3266639a84cbb43179bbb76f93b4a1579342b42e143b11bfb2cacf

Observation 9634f0ac-6f1f-4144-ab11-4eda89d7622d · outbound

This paper cites Knowledge distillation for enhanced age and gender prediction accuracy.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Knowledge distillation for enhanced age and gender prediction accuracy

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.130284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:df03e606aed7eb7dac134689b55b35abd57f952f974b4fa897f5d192bf80d23e

Observation 415109d8-f482-48f3-a316-e5b11b610727 · outbound

This paper cites Bridgenet: A continuity-aware probabilistic network for age estimation.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Bridgenet: A continuity-aware probabilistic network for age estimation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.158044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:b06d4b8363e08e948f01bd9d101ccbb958439e2348594f3f8ea2afa1b9072dc4

Observation 5cdfb4c7-6dd1-4bd9-a7d0-f9d248f6b3e9 · outbound

This paper cites Agedb: The first manually collected, in-the-wild age database.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Agedb: The first manually collected, in-the-wild age database

Reference 13

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.133275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:b77087a1b7b62e12dc19564860a275e0933c32094de7819e436c83f7fd11fb4e

Observation 2b80fe2d-acc0-4ef6-aa20-52f9e4e95a73 · outbound

This paper cites Ordinal regression with multiple output CNN for age estimation.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Ordinal regression with multiple output CNN for age estimation

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.144786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:36b37d888f4c2501547f3d5efa911259bc7f6fc715c27c43ab438a7507f540a4

Observation 9898f31a-9abb-4ae9-9d4a-ec1370f9846d · outbound

This paper cites Mean- variance loss for deep age estimation from a face.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Mean- variance loss for deep age estimation from a face

Reference 15

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raw_fallback, observed 2026-05-21T13:15:10.192219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:71c7cc0f87d42688f889d7e3e7463dd27db91137c34e7e2709af4c9004869701

Observation 47c38d45-0ed1-45ff-8d4d-8066f5d03286 · outbound

This paper cites A call to reflect on evalu- ation practices for age estimation: Comparative analysis of the state-of-the-art and a unified benchmark.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment A call to reflect on evalu- ation practices for age estimation: Comparative analysis of the state-of-the-art and a unified benchmark

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.168254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:c089a7ad5130ed438d9680b8f73603c002c6736bc911b382c0f1e1ba688bc907

Observation f498afb4-1fa8-4465-86c6-17dbb1ae59fc · outbound

This paper cites Mobilenetv3 for image classification.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Mobilenetv3 for image classification

Reference 17

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raw_fallback, observed 2026-05-21T13:15:10.185021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 002d81a1-7118-47ff-8e1f-91c2b9b315ea · outbound

This paper cites Deep expectation of real and apparent age from a single image without facial landmarks.IJCV, 126(2–4):144–157.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Deep expectation of real and apparent age from a single image without facial landmarks.IJCV, 126(2–4):144–157

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:299b9addf7e91d9002acdaed370440b9f78ebeb6e2577ea4c5b3c82f718bac8b

Observation 28ca720e-8d72-4fc0-ad94-fcea880458bf · outbound

This paper cites Savchenko.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Savchenko

Reference 19

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raw_fallback, observed 2026-05-21T13:15:10.173205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fbd9b01e-bf25-4a55-867e-af66adab26db · outbound

This paper cites Savchenko.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Savchenko

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 2026-08-14T06:32:32.682623+00:00.

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Observation 64366832-5a33-4c53-8626-3dc401efa103 · outbound

This paper cites an unresolved cited work.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Unresolved cited work

Reference 21

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unresolved
raw_fallback, observed 2026-05-21T13:15:10.180461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:24639ecafb475d019854999264b30dfc02191c98fa12ca069086ceb9c4a4e3c6

Observation 7bc96b57-f08b-40fe-a4c5-379f69df7954 · outbound

This paper cites an unresolved cited work.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Unresolved cited work

Reference 22

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unresolved
raw_fallback, observed 2026-05-21T13:15:10.175478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:7321aa3405fc40e31e29416a4077eff5cceb40a3e0f123c5122337c12570718d

Observation 641e0c18-58b8-4870-81e7-b8bd4e176bfb · outbound

This paper cites Improving face-based age estimation with attention-based dynamic patch fusion.IEEE Transactions on Image Processing, 31:1084– 1096.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Improving face-based age estimation with attention-based dynamic patch fusion.IEEE Transactions on Image Processing, 31:1084– 1096

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.182816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:d8ff1ca903386525aa4f0909ee9517fd8327999815c2cc5dc8846fff828521f1

Observation 368e579a-02c1-4963-b873-25efc7ec7ffa · outbound

This paper cites Adaptive variance based label distribution learning for facial age estimation.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Adaptive variance based label distribution learning for facial age estimation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.165484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:8c2f86cc1594eab71568dc501f76864ad9cb41e82d992acd19befc66799ea1e8

Observation 9a0bdd27-a666-40e1-af88-983fb565074c · outbound

This paper cites C3ae: Exploring the limits of compact model for age estimation.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment C3ae: Exploring the limits of compact model for age estimation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.170831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:dfe4664f289a255a585b66a6a90535479130ea3b3756a835c488765e408d8f5d

Observation 117ccbcc-1812-40c1-9402-ad1c03649991 · outbound

This paper cites Fine-grained age estimation in the wild with attention LSTM networks.IEEE Transactions on Circuits and Systems for Video Technology, 30(9):3140– 3152.

MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment Fine-grained age estimation in the wild with attention LSTM networks.IEEE Transactions on Circuits and Systems for Video Technology, 30(9):3140– 3152

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T13:15:10.178264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T07:33:25.731730Z digest=sha256:4c713e2c7e9209e4e5d98f1b56c5981f8332ddabeab92ddf3dfe64f7f09c2322

Pith citing papers

No inbound Pith citation observations are available.