Paper Citation Record · LEDGER

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2506.17016.

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

pith.paper-citation-record.v1
2506.17016 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:36:13.434834Z

measured 38 of 38 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T15:43:50.422887Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:31:12.784901Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy0
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b94fe944-f3cb-4ed8-8988-8a6f2e2e4c71 · outbound

This paper cites Verdecchia, J.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Verdecchia, J

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:08.944744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c5b9a41-e532-4363-a575-dd76a969cad6 · outbound

This paper cites Watt For What: Rethinking Deep Learning's Energy-Performance Relationship.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Watt For What: Rethinking Deep Learning's Energy-Performance Relationship

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:09.092529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762f57e7-c797-428b-bb57-8e9a1610f02d · outbound

This paper cites Casta ˜no, S.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Casta ˜no, S

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:09.184871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f10d97-f0e0-4ca5-94a0-2a9bb8c033ba · outbound

This paper cites an unresolved cited work.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:09.274830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d3fa2af-ee7c-4b28-a1f7-1c0c87d9e45c · outbound

This paper cites Razzhigaev, A.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Razzhigaev, A

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:09.415834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dda68f0d-1e82-4a73-b4fa-8d3449314a61 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:09.540708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 253ba60a-5566-4749-a9c4-e6f08a65016d · outbound

This paper cites Heusel, H.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Heusel, H

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:09.684825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 367d6d1c-3552-4dcb-a102-ad0a0ee4dc6b · outbound

This paper cites an unresolved cited work.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:09.809616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808e6192-0d50-40e7-8f74-aa983bab82a0 · outbound

This paper cites Salimans, I.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Salimans, I

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:09.984901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b1e974-0288-4b16-ae38-c7b9cdc3d0a0 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:10.102327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1df92e70-fab2-44e8-940c-b87b59f7525d · outbound

This paper cites Szegedy, V.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Szegedy, V

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:10.234918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5db2b07-0d2d-47de-9f6f-8e79b6494d81 · outbound

This paper cites an unresolved cited work.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:10.364753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e0b2401-591c-44d4-8424-d67df269a7a7 · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:10.416115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8739cd10-8bb7-4bf2-abe5-50624e239b20 · outbound

This paper cites Rombach, A.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Rombach, A

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:10.564838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6260aa36-ba89-475a-8c4a-7ec81cf17944 · outbound

This paper cites Sauer, D.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Sauer, D

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:10.964746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ac14e38-0d00-4c01-ab44-3ee2064b8739 · outbound

This paper cites Esser, S.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Esser, S

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:11.064776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13dfe7ea-8a22-4d10-b11d-ab6a32a7aec5 · outbound

This paper cites Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:11.234891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4803113-d52d-408b-a1cd-a65f12b31232 · outbound

This paper cites Sohl-Dickstein, E.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Sohl-Dickstein, E

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:11.356990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e620b7cf-6065-4314-93af-2aad27965d29 · outbound

This paper cites an unresolved cited work.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:11.459843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08c87c08-7f39-4b62-9b75-685dfba2121f · outbound

This paper cites Radford, J.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Radford, J

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:11.620848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3274915-68a0-42f7-a0f4-fc53a5148607 · outbound

This paper cites Peebles, S.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Peebles, S

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:11.789470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b843b90-f888-4996-8731-a5cff3c2b73c · outbound

This paper cites Vaswani, Attention is all you need, Advances in Neural Information Pro- cessing Systems (2017).

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Vaswani, Attention is all you need, Advances in Neural Information Pro- cessing Systems (2017)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:11.962782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3083507-e004-4cf5-8313-099f776b090a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.016381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 030430b8-afc8-4fbc-969b-4dabd5bb1580 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.128971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa609f4-9704-4894-9b47-f89d468872c3 · outbound

This paper cites an unresolved cited work.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.239886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d28ad12a-3aa6-428d-bc38-c9811310614d · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.392370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55cf326d-0ea6-49f0-991e-afbe2209bc89 · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.535315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d942bf0-6447-4b2c-b3af-a436f06b1ef3 · outbound

This paper cites Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.614805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6445c0f7-b9ce-4a0e-92b6-bf071587d1e5 · outbound

This paper cites Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.680068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee6f2aa-718b-4293-a27e-7099224a9d45 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.774774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b43ef99d-6646-4971-a251-7c66087946a5 · outbound

This paper cites an unresolved cited work.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.854905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5bdcfa8-03bd-4824-b2d7-f3ca09e2d93b · outbound

This paper cites Krizhevsky, G.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Krizhevsky, G

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:12.954971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1fef93-5799-4278-aac7-160c73fa07fa · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:13.068058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8849306f-8d20-4639-9e0a-6b8bdefe46b9 · outbound

This paper cites Wind, Top 40 useful prompts for stable diffusion xl, https://medium.com/phygital/top-40-useful-prompts-for-stable-diffusion- xl-008c03dd0557, accessed: 2025-03-07 (Dec.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Wind, Top 40 useful prompts for stable diffusion xl, https://medium.com/phygital/top-40-useful-prompts-for-stable-diffusion- xl-008c03dd0557, accessed: 2025-03-07 (Dec

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:13.124749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92b2a32f-dea2-4abf-94fb-b0c0a51a8195 · outbound

This paper cites Courty, V.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Courty, V

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:13.215029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba32175-4db1-4754-81b2-8c0fce41857e · outbound

This paper cites an unresolved cited work.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:13.290257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a9f6868-490e-48ff-aef5-e0ece69eb736 · outbound

This paper cites streetcar.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation streetcar

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:13.434834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation beefca73-5f65-4bd3-a96a-5e37aa02b13a · inbound

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint cites this paper.

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:31:12.788931Z

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.