Paper Citation Record · LEDGER

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2508.18031.

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

pith.paper-citation-record.v1
2508.18031 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:02:40.166475Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:16:42.881563Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T00:17:29.696435Z

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a73ceb5a-c2c0-4c24-bd11-0a3e566fb76d · outbound

This paper cites forensic sciences57, 1442–1447 (2012).

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction forensic sciences57, 1442–1447 (2012)

Reference 1

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Observation e9c86800-71ac-477a-a007-e3fb5c9f1a5d · outbound

This paper cites an unresolved cited work.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction Unresolved cited work

Reference 3

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Observation e0171c62-9c57-4317-a1b3-afa5776b4636 · outbound

This paper cites R.et al.Computer vision and soft computing for automatic skull–face overlay in craniofacial superimposition.F orensic Sci.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction R.et al.Computer vision and soft computing for automatic skull–face overlay in craniofacial superimposition.F orensic Sci

Reference 4

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Observation 0764bbb1-4e33-4a46-bfd6-30f32d0a502c · outbound

This paper cites an unresolved cited work.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction Unresolved cited work

Reference 5

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Observation a3ea8314-b091-4b81-b63a-2d25781ff453 · outbound

This paper cites & Duncan, C.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Duncan, C

Reference 6

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Observation 4a393b9e-d9d0-4356-9461-fa485b85ed1b · outbound

This paper cites & Efros, A.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Efros, A

Reference 8

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Observation 03fdd996-42df-4e51-addf-e30c9e706c96 · outbound

This paper cites A., Zhang, R.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction A., Zhang, R

Reference 9

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Observation 68240a09-1923-4a3b-85a8-956e6f82c54c · outbound

This paper cites & Duan, F.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Duan, F

Reference 10

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Observation b55030a5-f417-429c-9d36-dc1e5589395c · outbound

This paper cites M., Glaunès, J.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction M., Glaunès, J

Reference 11

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Observation 71a2b916-e43e-43a8-a6ff-973b6a812428 · outbound

This paper cites & Graph.97, 258–267 (2021).

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Graph.97, 258–267 (2021)

Reference 12

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Observation 13fa0f20-8c78-4290-aef9-6f0e6be03428 · outbound

This paper cites Cross-Domain Identity Representation for Skull to Face Matching with Benchmark DataSet.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction Cross-Domain Identity Representation for Skull to Face Matching with Benchmark DataSet

Reference 13

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Observation d5cfd313-7520-4a8e-9564-6250201bf8ca · outbound

This paper cites In2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 462–469 (IEEE, 2021).

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction In2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 462–469 (IEEE, 2021)

Reference 14

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Observation 09ab84ae-5c70-42bd-a0b8-f5bde50d2857 · outbound

This paper cites an unresolved cited work.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction Unresolved cited work

Reference 15

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Observation 57bd2109-a0bb-48fe-9298-e7152e12eb91 · outbound

This paper cites InProceedings of the 30th ACM international conference on multimedia, 759–768 (2022).

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction InProceedings of the 30th ACM international conference on multimedia, 759–768 (2022)

Reference 16

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Observation 2f8cb646-4b9e-4a87-868f-92080df6615f · outbound

This paper cites InSIGGRAPH Asia 2024 Technical Communications, 1–4 (2024).

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction InSIGGRAPH Asia 2024 Technical Communications, 1–4 (2024)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:02:40.603096Z

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Observation 8716740c-3187-4fb4-b4ae-3a312a672af6 · outbound

This paper cites A Note on the Inception Score.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction A Note on the Inception Score

Reference 18

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Source-reported events for the cited work

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Observation 42ccc8b5-4249-4eaf-be33-966ac44c12d3 · outbound

This paper cites A., Shechtman, E.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction A., Shechtman, E

Reference 21

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Source-reported events for the cited work

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Observation 8cbbbd86-6d04-44b4-9aeb-f8fee83ffafa · outbound

This paper cites & Zafeiriou, S.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Zafeiriou, S

Reference 22

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Source-reported events for the cited work

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Observation 341526e0-227c-4b0a-8058-afcfc2b8316c · outbound

This paper cites & Efros, A.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Efros, A

Reference 24

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Observation e8867c8e-8789-4eb3-9ae7-c98da040b09e · outbound

This paper cites & Gong, M.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Gong, M

Reference 25

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Observation c398fb51-cdb1-4ad1-a80b-34bbf08bbee4 · outbound

This paper cites an unresolved cited work.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction Unresolved cited work

Reference 26

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Observation ae3169ee-30af-48e7-a059-4613d371365a · outbound

This paper cites & Kautz, J.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Kautz, J

Reference 27

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Observation f8f45b58-54a3-4684-9040-54fbfeda2add · outbound

This paper cites & Kautz, J.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Kautz, J

Reference 28

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Observation 30b1feb3-67ef-4513-8bc4-5fb6fbd1c840 · outbound

This paper cites In Proceedings of the IEEE conference on computer vision and pattern recognition, 8789–8797 (2018).

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction In Proceedings of the IEEE conference on computer vision and pattern recognition, 8789–8797 (2018)

Reference 29

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Observation 65dd4b53-f99c-4222-8918-85b133bd74d3 · outbound

This paper cites & Courville, A.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Courville, A

Reference 30

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Observation e84e1c9f-fa51-4f08-b59d-649a9e3ed94f · outbound

This paper cites & Yang, M.-H.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Yang, M.-H

Reference 32

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Observation 159e843d-50a1-4753-b8b1-916c9c47a762 · outbound

This paper cites InProceedings of the IEEE/CVF international conference on computer vision, 10551–10560 (2019).

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction InProceedings of the IEEE/CVF international conference on computer vision, 10551–10560 (2019)

Reference 33

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 104dc289-07a7-48cd-aa53-01134995770c · outbound

This paper cites Harmonic Unpaired Image-to-image Translation.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction Harmonic Unpaired Image-to-image Translation

Reference 34

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Observation e338922c-f81b-4b11-9c6a-4ee2c968679a · outbound

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FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction Unresolved cited work

Reference 36

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Observation 18cb2755-9774-467f-ad2b-7ef0a418358e · outbound

This paper cites & Xing, E.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Xing, E

Reference 37

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Observation 34b83f2d-e6e7-433c-aa47-f6c96b8accb1 · outbound

This paper cites & Loy, C.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Loy, C

Reference 38

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Observation abe3bd5b-aa79-49d2-b244-f2a429f71475 · outbound

This paper cites an unresolved cited work.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction Unresolved cited work

Reference 40

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Observation 302c55e6-75ce-4fe0-8b28-b892f73033e6 · outbound

This paper cites & Hinton, G.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Hinton, G

Reference 41

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Source-reported events for the cited work

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Observation 089ff35f-e662-43cd-ad79-13be9ee4f794 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction Improved Baselines with Momentum Contrastive Learning

Reference 42

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Observation 47034c5f-dd46-4f6c-a774-867fc7244f64 · outbound

This paper cites InProceedings of the IEEE/CVF international conference on computer vision, 12116–12125 (2021).

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction InProceedings of the IEEE/CVF international conference on computer vision, 12116–12125 (2021)

Reference 43

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Observation 3c7bb57c-cbd3-42d0-bed2-26910a47ab81 · outbound

This paper cites & Yan, S.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Yan, S

Reference 44

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Observation 588a176f-ac26-4b00-a8a1-60b600800230 · outbound

This paper cites & Kovashka, A.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Kovashka, A

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:02:40.333787Z

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Observation de03ab74-8b2b-4513-8d1d-2cda5f3c335b · outbound

This paper cites & Sun, J.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Sun, J

Reference 47

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Observation 93cb8ed1-a9ea-4a1e-b731-2e9d5feb1d7f · outbound

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FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Weinberger, K

Reference 48

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This paper cites D., Raghavan, P.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction D., Raghavan, P

Reference 49

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Observation 48501b6a-7f1b-4b84-8699-e08f5884bf2f · outbound

This paper cites & Hochreiter, S.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction & Hochreiter, S

Reference 50

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Observation b090787a-fea2-4a3c-9ab7-78822e47842f · outbound

This paper cites C., Sheikh, H.

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction C., Sheikh, H

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:02:40.273793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation c22b5603-314d-4eac-9b60-ad6d0d789d3d · inbound

Cranio-Diff: Diffusion-based Cross-domain Craniofacial Reconstruction with 2D X-ray Skull Guidance and Structural Identity Constraints cites this paper.

Cranio-Diff: Diffusion-based Cross-domain Craniofacial Reconstruction with 2D X-ray Skull Guidance and Structural Identity Constraints FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:17:29.697875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.