# Published reference figures: attribution and rights

This is the current twenty-reference gallery. Eight user-retired references were replaced on 2026-10-08; the other twelve and their image bytes are unchanged. All scientific reference images are published figures or identified panels, not generated replacements. Current anchor order and retired IDs are recorded in assets/approved-canon.json; replacements are curator selections responding to the user’s request, not retroactively labeled as previously approved.

The MIT license applies to original code and editorial commentary only. **Published figures are third-party material and are not relicensed under MIT.** They are included with source-specific critical discussion. Inclusion here does not grant general image-reuse or further republication rights. Verified licenses, unverified reuse terms, original sources and modifications remain explicit for each item. Do not infer permission from a public URL, from inclusion, or from the code license.

`bundled` identifies previously verified CC BY assets; `reference-excerpt` identifies approved figures included for critical reference study without claiming a general image license. The distinction is about recorded rights, not whether an image is displayed.

Further users are responsible for checking the applicable source-specific permissions and image credit exceptions for their intended use. Original authors do not endorse this skill.

## AlphaFold / triangle updates

Jumper et al.. *Highly accurate protein structure prediction with AlphaFold*. Nature (2021), Figure 3.

[Publication](https://www.nature.com/articles/s41586-021-03819-2/figures/3) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41586-021-03819-2/MediaObjects/41586_2021_3819_Fig3_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s41586-021-03819-2)

**bundled** — Article Rights and permissions states CC BY 4.0; reviewed figure credit lines contain no separate restriction. Original and focused assets are separately labeled.

[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

- `assets/calibration/94866d7c-alphafold.png` — Publisher Figure 3; panels b–c cropped together. Full figure available in the viewer. SHA-256: `96abc1ce03ee69229283a7ba38769ec011912bd2e644d1ba39624f02c77b1e91`.
- `assets/calibration/82942714-alphafold.png` — Full published figure SHA-256: `cc3898ec047291dcfeadaea447fdba928d74174f972b6a75074ffcf8c56bd4fc`.

## CellRank

Lange et al.. *CellRank for directed single-cell fate mapping*. Nature Methods (2022), Figure 1.

[Publication](https://www.nature.com/articles/s41592-021-01346-6/figures/1) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41592-021-01346-6/MediaObjects/41592_2021_1346_Fig1_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s41592-021-01346-6)

**bundled** — Article Rights and permissions states CC BY 4.0; reviewed figure credit lines contain no separate restriction. Original and focused assets are separately labeled.

[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

- `assets/calibration/ff87748f-cellrank.png` — Publisher figure; panels a–b cropped together. Full figure continues through coarse-graining and fate probabilities. SHA-256: `7eeca7a6a75679185c4f307cc1c2e362ee7a52cb52c062bcd4ed06b945ab02d7`.
- `assets/calibration/e3277e8e-cellrank.png` — Full published figure SHA-256: `9b0011799630e4e71d5a9088c0c58ce14b4cfead6a0a9c47ab10c3f8756a4e81`.

## GraphCast

Lam et al.. *Learning skillful medium-range global weather forecasting*. Science (2023), Figure 1.

[Publication](https://www.science.org/doi/10.1126/science.adi2336) · [Original figure source](https://docs.nvidia.com/physicsnemo/25.11/_images/graphcast_architecture.png) · [Recorded permission basis](https://www.science.org/doi/10.1126/science.adi2336)

**reference-excerpt** — Approved published figure included for source-specific critical visual study. Original author/publisher rights remain; the repository MIT license does not license this image or grant further republication rights. A broadly reusable image license has not been established.

- `assets/calibration/7b9f9e1b-graphcast.png` — The supplied guide's published architecture figure, reproduced in NVIDIA documentation. The original paper and author manuscript are linked separately; NVIDIA is the image host, not the paper's publisher. SHA-256: `f3ad9f38ed289af2215b198693b839e62b6054f09ffe08606088fcb4feb32784`.

## DreamFusion

Poole, Jain, Barron & Mildenhall. *DreamFusion: Text-to-3D using 2D Diffusion*. ICLR (2023), Figure 3.

[Publication](https://openreview.net/forum?id=FjNys5c7VyY) · [Original figure source](https://docs.nvidia.com/nemo-framework/user-guide/24.12/_images/dreamfusion_model_overview1.png) · [Recorded permission basis](https://openreview.net/forum?id=FjNys5c7VyY)

**reference-excerpt** — Approved published figure included for source-specific critical visual study. Original author/publisher rights remain; the repository MIT license does not license this image or grant further republication rights. A broadly reusable image license has not been established.

- `assets/calibration/f022cea5-dreamfusion.png` — The supplied guide's Figure 3, reproduced in NVIDIA documentation. The author project and OpenReview publication are linked separately. SHA-256: `4a0b4f5506ac8a206733a22b4a0ca7e53a52a37f1fe6ba9145d834fea22d022f`.

## Mechanical Characters

Coros, Thomaszewski, Noris et al.. *Computational Design of Mechanical Characters*. SIGGRAPH / ACM TOG (2013), Figures 2 and 3.

[Publication](https://cdl.ethz.ch/publications/computational-design-of-mechanical-characters/) · [Original figure source](https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20140804211255/CDMC1.pdf) · [Recorded permission basis](https://cdl.ethz.ch/publications/computational-design-of-mechanical-characters/)

**reference-excerpt** — Actual published figure excerpt included with source-specific critical study. No general redistribution license is asserted by this repository. Original authors/publishers retain rights; inspect the source terms and any third-party image credits before further reuse.

- `assets/calibration/mechanical-figure.png` — Actual published primary figure, rasterized from the author/proceedings PDF with MuPDF 1.26.0. Extraction: {"source": "mechanical.pdf", "page_zero_based": 1, "crop_fraction_top_left": [0.083, 0.067, 0.918, 0.185], "output": "mechanical-fig2.png", "width": 2601, "height": 477, "sha256": "5c374fdc1a4a9daa5e56b8b722308c92559fb5dd18d036ac39db1c4384781e36", "bytes": 1087374, "renderer": "MuPDF 1.26.0; actual published figure rasterization, no redraw"} SHA-256: `5c374fdc1a4a9daa5e56b8b722308c92559fb5dd18d036ac39db1c4384781e36`.
- `assets/calibration/mechanical-context.png` — Actual published related figure, rasterized from the author/proceedings PDF with MuPDF 1.26.0. Extraction: {"source": "mechanical.pdf", "page_zero_based": 2, "crop_fraction_top_left": [0.083, 0.063, 0.918, 0.2], "output": "mechanical-fig3.png", "width": 2601, "height": 553, "sha256": "3cf04e6076b4ccfa246e4a3dc5b041c72e9eb16ce60a03450427d6ce9603d1ec", "bytes": 931168, "renderer": "MuPDF 1.26.0; actual published figure rasterization, no redraw"} SHA-256: `3cf04e6076b4ccfa246e4a3dc5b041c72e9eb16ce60a03450427d6ce9603d1ec`.

## Aardvark

D. Lange, Judson-Torres, Zangle & Lex. *Aardvark: Composite Visualizations of Trees, Time-Series, and Images*. IEEE VIS / TVCG (2024), Figure 1.

[Publication](https://pmc.ncbi.nlm.nih.gov/articles/PMC12143745/) · [Original figure source](https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df01/12143745/4e9f75adbdb2/nihms-2083519-f0001.jpg) · [Recorded permission basis](https://pmc.ncbi.nlm.nih.gov/articles/PMC12143745/)

**reference-excerpt** — Approved published figure included for source-specific critical visual study. Original author/publisher rights remain; the repository MIT license does not license this image or grant further republication rights. A broadly reusable image license has not been established.

- `assets/calibration/af521a16-aardvark.jpg` — Full Figure 1 from the authors' manuscript deposited in PMC. Presented at VIS 2024; TVCG volume 31(1), January 2025. The conference/journal date distinction is retained. SHA-256: `68aa01b4f6400d42629784cf8ef55c4af63f6e4330e233df3d5c9dc430e23b8b`.

## Computational Caustics

Schwartzburg, Testuz, Tagliasacchi & Pauly. *High-contrast Computational Caustic Design*. SIGGRAPH / ACM TOG (2014), Figures 1 and 2.

[Publication](https://www.epfl.ch/labs/gcm/research-projects/computational-caustics/) · [Original figure source](https://theialab.ca/pubs/schwartzburg2014caustics.pdf) · [Recorded permission basis](https://www.epfl.ch/labs/gcm/research-projects/computational-caustics/)

**reference-excerpt** — Actual published figure excerpt included with source-specific critical study. No general redistribution license is asserted by this repository. Original authors/publishers retain rights; inspect the source terms and any third-party image credits before further reuse.

- `assets/calibration/caustics-figure.png` — Actual published primary figure, rasterized from the author/proceedings PDF with MuPDF 1.26.0. Extraction: {"source": "caustics.pdf", "page_zero_based": 1, "crop_fraction_top_left": [0.08, 0.05, 0.93, 0.264], "output": "caustics-fig2.png", "width": 2601, "height": 849, "sha256": "1025c741106269f1003c831d178c8c2e31d3fc2faa2a4e55e3f671120c0a46f5", "bytes": 335071, "renderer": "MuPDF 1.26.0; actual published figure rasterization, no redraw"} Figure 2 photographic target: Philippe Halsman © Philippe Halsman Archive; source credit retained here. SHA-256: `1025c741106269f1003c831d178c8c2e31d3fc2faa2a4e55e3f671120c0a46f5`.
- `assets/calibration/caustics-context.png` — Actual published related figure, rasterized from the author/proceedings PDF with MuPDF 1.26.0. Extraction: {"source": "caustics.pdf", "page_zero_based": 0, "crop_fraction_top_left": [0.086, 0.148, 0.925, 0.304], "output": "caustics-fig1.png", "width": 2601, "height": 627, "sha256": "563e05b724676af6bb845a3458e8893d82328c1004a2bb0a6e8df6ea267cdf4f", "bytes": 2694464, "renderer": "MuPDF 1.26.0; actual published figure rasterization, no redraw"} SHA-256: `563e05b724676af6bb845a3458e8893d82328c1004a2bb0a6e8df6ea267cdf4f`.

## Reconfigurable Photonic Braids

Sun et al.. *Reconfigurable non-Abelian integrated photonics*. Nature Communications (2025), Figure 1.

[Publication](https://www.nature.com/articles/s41467-025-62481-8) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-025-62481-8/MediaObjects/41467_2025_62481_Fig1_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s41467-025-62481-8)

**reference-excerpt** — Actual published figure excerpt included with source-specific critical study. No general redistribution license is asserted by this repository. Original authors/publishers retain rights; inspect the source terms and any third-party image credits before further reuse.

- `assets/calibration/photonic-braids-figure.png` — Unmodified publisher-hosted Figure 1. SHA-256: `d9974026ea481171298db705f09c84f1f4cf09c6bbac56ddeed271c355a4a6be`.

## RFdiffusion

Watson et al.. *De novo design of protein structure and function with RFdiffusion*. Nature (2023), Figure 1.

[Publication](https://www.nature.com/articles/s41586-023-06415-8) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41586-023-06415-8/MediaObjects/41586_2023_6415_Fig1_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s41586-023-06415-8)

**reference-excerpt** — Actual published figure excerpt included with source-specific critical study. No general redistribution license is asserted by this repository. Original authors/publishers retain rights; inspect the source terms and any third-party image credits before further reuse.

- `assets/calibration/rfdiffusion-figure.png` — Unmodified publisher-hosted Figure 1. SHA-256: `4fb2ab597652f9378eff4c283e1c929104fc114067c7cc2d45c6e683bad92411`.

## RNA velocity / scVelo

Bergen et al.. *Generalizing RNA velocity to transient cell states through dynamical modeling*. Nature Biotechnology (2020), Figure 1.

[Publication](https://www.nature.com/articles/s41587-020-0591-3) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41587-020-0591-3/MediaObjects/41587_2020_591_Fig1_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s41587-020-0591-3)

**reference-excerpt** — Approved published figure included for source-specific critical visual study. Original author/publisher rights remain; the repository MIT license does not license this image or grant further republication rights. A broadly reusable image license has not been established.

- `assets/calibration/17c20634-scvelo.png` — Full publisher figure, raster-resized without changing its content. SHA-256: `1dd26713ab1d2ca06c30b89d10170fb0504fcfd32d3042d1a34b1cd9a69139c0`.

## Biomimetic 4D Printing

Gladman, Matsumoto, Nuzzo, Mahadevan & Lewis. *Biomimetic 4D printing*. Nature Materials (2016), Figure 4.

[Publication](https://www.nature.com/articles/nmat4544) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fnmat4544/MediaObjects/41563_2016_Article_BFnmat4544_Fig4_HTML.jpg) · [Recorded permission basis](https://www.nature.com/articles/nmat4544)

**reference-excerpt** — Actual published figure excerpt included with source-specific critical study. No general redistribution license is asserted by this repository. Original authors/publishers retain rights; inspect the source terms and any third-party image credits before further reuse.

- `assets/calibration/bioprint4d-figure.jpg` — Unmodified publisher-hosted Figure 4. SHA-256: `7cf4ff5c115165f3528e9e1f3ffecdd71571da67f4e7ce2592fb7125066a81c8`.

## NeRF

Mildenhall et al.. *NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis*. ECCV (2020), Figure 2.

[Publication](https://www.matthewtancik.com/nerf) · [Original figure source](https://arxiv.org/pdf/2003.08934) · [Recorded permission basis](https://www.matthewtancik.com/nerf)

**reference-excerpt** — Approved published figure included for source-specific critical visual study. Original author/publisher rights remain; the repository MIT license does not license this image or grant further republication rights. A broadly reusable image license has not been established.

- `assets/calibration/14900912-nerf.png` — Actual Figure 2 rasterized from the authors' arXiv manuscript. SHA-256: `e5e5b4b304623b24eb3da07837a767a639c67291b650b045216ebee7c03215b9`.

## Neural Congealing

Ofri-Amar et al.. *Neural Congealing: Aligning Images to a Joint Semantic Atlas*. CVPR (2023), Figure 1.

[Publication](https://openaccess.thecvf.com/content/CVPR2023/html/Ofri-Amar_Neural_Congealing_Aligning_Images_to_a_Joint_Semantic_Atlas_CVPR_2023_paper.html) · [Original figure source](https://arxiv.org/pdf/2302.03956) · [Recorded permission basis](https://arxiv.org/abs/2302.03956v2)

**bundled** — Author manuscript license link is CC BY 4.0. Actual paper figure crop, not a reconstruction; figure-specific treatment is recorded below.

[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

- `assets/calibration/afe52f89-congealing.jpg` — Actual Figure 1 from the authors' March 2023 arXiv manuscript; butterfly examples retained in their original order. SHA-256: `7f1a954b19683a9e783005bd1f39bcc4b3a5e76c0e33a50983e35f4e75ea537a`.

## Diffusive Mechanical Machines

Janbaz & Coulais. *Diffusive kinks turn kirigami sheets into machines*. Nature Communications (2024), Figure 5.

[Publication](https://www.nature.com/articles/s41467-024-45602-7) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-024-45602-7/MediaObjects/41467_2024_45602_Fig5_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s41467-024-45602-7)

**reference-excerpt** — Actual published figure excerpt included with source-specific critical study. No general redistribution license is asserted by this repository. Original authors/publishers retain rights; inspect the source terms and any third-party image credits before further reuse.

- `assets/calibration/diffusive-machines-figure.png` — Unmodified publisher-hosted Figure 5. SHA-256: `8cd85865a4d9c85dffee00f649fa794143301eb0995ac3f70c20b96ac312222b`.

## Multisample Flow Matching

Pooladian et al.. *Multisample Flow Matching: Straightening Flows with Minibatch Couplings*. ICML (2023), Figure 2.

[Publication](https://proceedings.mlr.press/v202/pooladian23a.html) · [Original figure source](https://proceedings.mlr.press/v202/pooladian23a/pooladian23a.pdf) · [Recorded permission basis](https://proceedings.mlr.press/v202/pooladian23a.html)

**reference-excerpt** — Approved published figure included for source-specific critical visual study. Original author/publisher rights remain; the repository MIT license does not license this image or grant further republication rights. A broadly reusable image license has not been established.

- `assets/calibration/e65934cc-flow.jpg` — Actual Figure 2 rasterized from the PMLR proceedings PDF. SHA-256: `2c8c92f836499cfd098c981a3ec0ba7a7f011081cc4ad4a515d6722f6e29cd7e`.

## Grid-cell topology

Gardner et al.. *Toroidal topology of population activity in grid cells*. Nature (2022), Figure 2a–b.

[Publication](https://www.nature.com/articles/s41586-021-04268-7) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41586-021-04268-7/MediaObjects/41586_2021_4268_Fig2_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s41586-021-04268-7)

**bundled** — Article Rights and permissions states CC BY 4.0; reviewed figure credit lines contain no separate restriction. Original and focused assets are separately labeled.

[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

- `assets/calibration/a4bc70a9-torus-a.png` — Publisher panels a and b cropped separately, preserving their internal arrangements. Full figure available in the viewer. SHA-256: `9d3a6904f224744001271b61fa7175247a8f4aa120ccfc6f41f7630114175024`.
- `assets/calibration/42be2c29-torus-b.png` — Publisher panels a and b cropped separately, preserving their internal arrangements. Full figure available in the viewer. SHA-256: `978e809b7e1460eef0b4fe149e4288c98e600116018797ecb0e73dde328c992d`.
- `assets/calibration/1663f848-torus2.png` — Full published figure SHA-256: `903d931ad3003e4b2c59a7227151fd6104fb6f81b28df959a89e8f2930b52ddc`.

## Functionally invariant paths

Raghavan et al.. *Engineering flexible machine learning systems by traversing functionally invariant paths*. Nature Machine Intelligence (2024), Figure 1a.

[Publication](https://www.nature.com/articles/s42256-024-00902-x) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs42256-024-00902-x/MediaObjects/42256_2024_902_Fig1_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s42256-024-00902-x)

**reference-excerpt** — Approved published figure included for source-specific critical visual study. Original author/publisher rights remain; the repository MIT license does not license this image or grant further republication rights. Publisher permits noncommercial unadapted redistribution; the original license remains applicable; check source-specific permissions for further use.

[CC-BY-NC-ND-4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/)

- `assets/calibration/c1bbd0b1-fip.png` — Publisher Figure 1, panel a cropped. Full figure available in the viewer. SHA-256: `8cf5139aa2fb353d9d12aa0493aa5f2eacb6b6a5a997e5e1d145a18dfd41d313`.
- `assets/calibration/58b095f5-fip.png` — Full published figure SHA-256: `e6279162f5dc5eb6e1b8f5545f60b6921e8a941ef8abda554a3860d21d74ea79`.

## Generative Omnimatte

Lee, Lu, Rumbley, Geyer, Huang, Dekel & Cole. *Generative Omnimatte: Learning to Decompose Video into Layers*. CVPR (2025), Figure 1; related Figure 4.

[Publication](https://gen-omnimatte.github.io/) · [Original figure source](https://openaccess.thecvf.com/content/CVPR2025/papers/Lee_Generative_Omnimatte_Learning_to_Decompose_Video_into_Layers_CVPR_2025_paper.pdf) · [Recorded permission basis](https://gen-omnimatte.github.io/)

**reference-excerpt** — Actual published figure excerpt included with source-specific critical study. No general redistribution license is asserted by this repository. Original authors/publishers retain rights; inspect the source terms and any third-party image credits before further reuse.

- `assets/calibration/genomnimatte-figure.png` — Actual published primary figure, rasterized from the author/proceedings PDF with MuPDF 1.26.0. Extraction: {"source": "genomnimatte.pdf", "page_zero_based": 0, "crop_fraction_top_left": [0.084, 0.275, 0.91, 0.579], "output": "genomnimatte-fig1.png", "width": 2601, "height": 1239, "sha256": "e90b87bb0211b3a0d5bfd6fc0b02727a39e0e76b3d36635194612e9f7c4051f6", "bytes": 3688076, "renderer": "MuPDF 1.26.0; actual published figure rasterization, no redraw"} SHA-256: `e90b87bb0211b3a0d5bfd6fc0b02727a39e0e76b3d36635194612e9f7c4051f6`.
- `assets/calibration/genomnimatte-context.png` — Actual published related figure, rasterized from the author/proceedings PDF with MuPDF 1.26.0. Extraction: {"source": "genomnimatte.pdf", "page_zero_based": 3, "crop_fraction_top_left": [0.084, 0.08, 0.91, 0.332], "output": "genomnimatte-fig4.png", "width": 2601, "height": 1028, "sha256": "bb4d46f0cf9608edfc471246e53799ef6814a2c03258b6da0cd21ac292ded100", "bytes": 804255, "renderer": "MuPDF 1.26.0; actual published figure rasterization, no redraw"} SHA-256: `bb4d46f0cf9608edfc471246e53799ef6814a2c03258b6da0cd21ac292ded100`.

## Shape-morphing kirigami

Hong et al.. *Boundary curvature guided programmable shape-morphing kirigami sheets*. Nature Communications (2022), Figure 1a–f.

[Publication](https://www.nature.com/articles/s41467-022-28187-x/figures/1) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-022-28187-x/MediaObjects/41467_2022_28187_Fig1_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s41467-022-28187-x)

**bundled** — Article Rights and permissions states CC BY 4.0; reviewed figure credit lines contain no separate restriction. Original and focused assets are separately labeled.

[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

- `assets/calibration/fc3c6acf-kirigami.jpg` — Publisher Figure 1; panels a–f cropped together. Force–displacement panel excluded from the focused view. SHA-256: `96741301d6c48c2a7960ca4eec72757c3f6d2e05a3880d4054f2e6dcc951eae1`.
- `assets/calibration/f4bfe551-kirigami.png` — Full published figure SHA-256: `530129726a7ecb50e65ab33771218081b2c7f0ba891282bf876c826167919cc7`.

## Scutoids in Curved Tissue

Gómez-Gálvez, Vicente-Munuera, Tagua et al.. *Scutoids are a geometrical solution to three-dimensional packing of epithelia*. Nature Communications (2018), Figure 1.

[Publication](https://www.nature.com/articles/s41467-018-05376-1) · [Original figure source](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-018-05376-1/MediaObjects/41467_2018_5376_Fig1_HTML.png) · [Recorded permission basis](https://www.nature.com/articles/s41467-018-05376-1)

**reference-excerpt** — Actual published figure excerpt included with source-specific critical study. No general redistribution license is asserted by this repository. Original authors/publishers retain rights; inspect the source terms and any third-party image credits before further reuse. Original Figure 1e beetle photograph is credited by the paper to Dr Nicolas Gompel, with permission; that credit is not a license for further reuse.

- `assets/calibration/scutoids-figure.png` — Unmodified publisher-hosted Figure 1. Panel e beetle photograph credited in the source to Dr Nicolas Gompel; do not assume the article license overrides image-specific credit. SHA-256: `728746e6727da5874328658e23d9cdafcb427a65480c5c7119f1744735bc3535`.