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Paper Citation Record · LEDGER

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2502.09425.

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

pith.paper-citation-record.v1
2502.09425 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:35:39.830853Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de8119df-3b99-4090-b208-45bc3b2f36f4 · outbound

This paper cites Annals of Plastic Surgery.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Annals of Plastic Surgery

Reference 1

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Observation 11d521f9-85b6-475a-ac79-d4913ab93399 · outbound

This paper cites American Journal of Orthodontics and Dentofacial Orthopedics.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria American Journal of Orthodontics and Dentofacial Orthopedics

Reference 2

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Observation b855f690-e04f-4c54-bce7-7f47ff96fdb1 · outbound

This paper cites an unresolved cited work.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Unresolved cited work

Reference 3

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Observation 528443ef-94e1-49a1-b422-2ca3e939c0ba · outbound

This paper cites Aesthetic Surgery Journal Open Forum.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Aesthetic Surgery Journal Open Forum

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation aa8574bc-2cef-461b-ab82-ded3d1742fa4 · outbound

This paper cites Head & Face Medicine.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Head & Face Medicine

Reference 5

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 82ce548d-f065-4ab1-b8b8-0b5db69c8af8 · outbound

This paper cites Journal of Plastic, Reconstructive & Aesthetic Surgery.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Journal of Plastic, Reconstructive & Aesthetic Surgery

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c225d076-5795-44ce-934d-07627d8a393d · outbound

This paper cites an unresolved cited work.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation 2aac80fd-6a8b-4ced-9830-0c201dda783f · outbound

This paper cites In: Pertusa, A., Gallego, A.J., Sánchez, J.A., and Domingues, I.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria In: Pertusa, A., Gallego, A.J., Sánchez, J.A., and Domingues, I

Reference 8

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Source-reported events for the cited work

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Observation 1eba1f95-79f3-417b-a215-bd7a4a7707ce · outbound

This paper cites Journal of Oral and Maxillofacial Surgery.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Journal of Oral and Maxillofacial Surgery

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 2026-08-09T06:31:02.800959+00:00.

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Observation 2b7675a2-e652-4ede-8c70-8931be1ac1c7 · outbound

This paper cites Angle Or- thod.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Angle Or- thod

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b5c80d49-60fa-4786-9865-bcbd0d27cd11 · outbound

This paper cites Presented at the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) June 1 (2023).

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Presented at the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) June 1 (2023)

Reference 11

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Observation 949a33df-fe2e-461c-ba00-7cc655c155a9 · outbound

This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Reference 12

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Observation 54ab215f-3e85-4e00-b281-bed5aeb49168 · outbound

This paper cites In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 13

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Observation 2ba4ec22-f8dc-404c-a98e-16f34dcb39f2 · outbound

This paper cites In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 76606e38-3737-4029-ae95-5609ec91bc9f · outbound

This paper cites Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention

Reference 15

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Source-reported events for the cited work

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Observation 6a48bea1-b949-4e65-8260-d7f013c5baa0 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b3aa8ee9-dbdd-440c-bb6c-f1ef5eaab9c7 · outbound

This paper cites LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Reference 17

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Source-reported events for the cited work

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Observation eae74fd8-9292-4590-a655-d46229b5c5b8 · outbound

This paper cites et al.: Face3DBiomark: a low-cost solution to compute 3D facial biomarkers for diagnosing conditions with associated facial dysmorphologies.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria et al.: Face3DBiomark: a low-cost solution to compute 3D facial biomarkers for diagnosing conditions with associated facial dysmorphologies

Reference 18

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Observation 76461c6d-40e6-4825-b897-a0aced564b4e · outbound

This paper cites ACM Trans.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria ACM Trans

Reference 19

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Observation ef2e7820-5923-402a-a2e4-d2c9baa2ad36 · outbound

This paper cites Head Face Med.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Head Face Med

Reference 20

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Source-reported events for the cited work

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Observation 138d0a1b-00c1-4843-91d0-f4761ca44c71 · outbound

This paper cites REALY: Rethinking the Evaluation of 3D Face Reconstruction.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria REALY: Rethinking the Evaluation of 3D Face Reconstruction

Reference 21

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Source-reported events for the cited work

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Observation 275eeb43-e553-4d81-aa60-0412005d21fb · outbound

This paper cites Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

Reference 22

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Observation b99258b7-dfdc-4448-bc70-55fb8f146a88 · outbound

This paper cites Evol Biol.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Evol Biol

Reference 23

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Observation 7796564c-d28c-4fb3-b0ab-be2e38f5b5bc · outbound

This paper cites Chapman and Hall/CRC, New York (2001).

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Chapman and Hall/CRC, New York (2001)

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites an unresolved cited work.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria Unresolved cited work

Reference 25

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Source-reported events for the cited work

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Observation 5f73de98-3980-4b48-8330-5037de9a5953 · outbound

This paper cites In: Wachinger, C., Paniagua, B., Elhabian, S., Luijten, G., Title Suppressed Due to Excessive Length 13 and Egger, J.

A 3D Facial Reconstruction Evaluation Methodology: Comparing Smartphone Scans with Deep Learning Based Methods Using Geometry and Morphometry Criteria In: Wachinger, C., Paniagua, B., Elhabian, S., Luijten, G., Title Suppressed Due to Excessive Length 13 and Egger, J

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.