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Paper Citation Record · LEDGER

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.06578.

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

pith.paper-citation-record.v1
2506.06578 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:55:31.105927Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b807dba-cfe6-4adf-934d-5b76f6d00451 · outbound

This paper cites Learning how to analyse crowd behaviour using synthetic data,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Learning how to analyse crowd behaviour using synthetic data,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b6f3bd63-f701-4893-8148-fda8cf62c61a · outbound

This paper cites Photometric stereo with an arbitrary number of illuminants,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Photometric stereo with an arbitrary number of illuminants,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.540891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 40988826-7ad6-4582-9c46-3c8c6eda1809 · outbound

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

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Face image quality assessment: A literature survey,

Reference 3

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unresolved
no resolver link, observed 2026-08-07T05:55:30.995739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 318c3554-aa80-4e43-83a5-58dec84f7034 · outbound

This paper cites Issues related to face recognition accuracy varying based on race and skin tone,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Issues related to face recognition accuracy varying based on race and skin tone,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.521469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 02e27f8e-fd34-4f33-b493-7b1c84a67b23 · outbound

This paper cites An ai- assisted skincare routine recommendation system in xr,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance An ai- assisted skincare routine recommendation system in xr,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.503482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:55:31.007771Z digest=sha256:088b804683ca288d6c248a1dcb04ff3acc28ed4978d3aa9f05c729500ae8ed75

Observation d09e54a2-f1e4-48cb-ac94-e0bace8acaa9 · outbound

This paper cites Deep learning face attributes in the wild,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Deep learning face attributes in the wild,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:55:31.013301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 332ea148-f5c7-4406-8edb-675b5e9b3bc5 · outbound

This paper cites Investigating bias and fairness in facial expression recognition,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Investigating bias and fairness in facial expression recognition,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.469877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:55:31.023072Z digest=sha256:9c2ebf0d46beeeb415945e6b6595900d9332cae67a28c26df28104b9ac239243

Observation 2f417e90-088b-4a62-9678-db88bb420b90 · outbound

This paper cites Bias and fairness in face detection,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Bias and fairness in face detection,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.450054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:55:31.030923Z digest=sha256:5607298f5e00c79a89691afacad284426e37433f4f422c35e66db6b9e3fa9bd1

Observation 37b17104-f136-4a7d-8dbc-023e90334a2e · outbound

This paper cites A deep dive into dataset imbalance and bias in face identification,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance A deep dive into dataset imbalance and bias in face identification,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.431320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4a0a56b6-e763-47e7-b8e7-f6de11ca7ed7 · outbound

This paper cites A comprehensive study on face recognition biases beyond demographics,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance A comprehensive study on face recognition biases beyond demographics,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.409234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e53634e3-f19d-42d0-a101-2a75370a6288 · outbound

This paper cites Human face super-resolution on poor quality surveillance video footage,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Human face super-resolution on poor quality surveillance video footage,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.384573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ddd459d2-432d-465a-bd94-334cf848439e · outbound

This paper cites Empirical analysis of denoising algo- rithms for cctv face images,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Empirical analysis of denoising algo- rithms for cctv face images,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.361809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4e351484-ae3f-4aca-943d-90b865db0039 · outbound

This paper cites Low resolution face recognition system based on esrgan,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Low resolution face recognition system based on esrgan,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.341354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7eb7f679-3af7-42ad-bf14-d1df4f033fc2 · outbound

This paper cites A novel double-tail generative adversarial network for fast photo animation,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance A novel double-tail generative adversarial network for fast photo animation,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.322080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c65255fc-d8d7-4468-93ac-65985877e242 · outbound

This paper cites Image-to-image translation using pix2pix gan and cycle gan,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Image-to-image translation using pix2pix gan and cycle gan,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.296597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e39adc88-1058-4a04-8212-b9eeda3a7ea7 · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks ,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance A Style-Based Generator Architecture for Generative Adversarial Networks ,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.274369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:55:31.085010Z digest=sha256:d55c7d3e810eb1710883d5ad9591c47f7721d69b064b725eacd777a3c0569dc4

Observation ba36434c-dea6-4928-989e-1df8d93a8906 · outbound

This paper cites Stylemask: Disentangling the style space of stylegan2 for neural face reenactment,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Stylemask: Disentangling the style space of stylegan2 for neural face reenactment,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.240188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:55:31.092408Z digest=sha256:7e99231460c1f3c928765f2b3f7f1f258adc626845cfaa8807c436b4749c70a1

Observation 9ce306e7-4203-4399-b710-237a61b976f3 · outbound

This paper cites Finding directions in gan’s latent space for neural face reenactment,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Finding directions in gan’s latent space for neural face reenactment,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.214165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:55:31.098541Z digest=sha256:f563fc36b0904e406c5deb6e9486aed9243b761d6e5fb5a5611c08580ea6a49f

Observation 113ac497-924d-47a1-a96a-b99ac9e21e81 · outbound

This paper cites Improved training of wasserstein gans,.

A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance Improved training of wasserstein gans,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:31.173666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.