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Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 38 of 38 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 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:17:13.027198Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved24
  • 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

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no resolver link, observed 2026-08-15T19:17:12.845219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:17:12.845219Z digest=sha256:25dd7195a2ba9bc3347cff61e60cbca720dbda7ad612ffb0c35bad0e34bcb81a

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

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no resolver link, observed 2026-08-15T19:17:12.850467Z

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source=pdf_text observed=2026-08-15T19:17:12.850467Z digest=sha256:2f3f18d5b56de675d5c918e4a4f7a8e2e762a80ce4115d3b465d7fa1c69933a8

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.855233Z digest=sha256:f419e6821e14ab1b713778204fbb5a7aa418ce6183de3798f44c9fb198318d89

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.859948Z digest=sha256:ba8c90b8e9d82e2bc710e1be47b2a28800944fc79af4a18f53bb230e3470ee73

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.864506Z digest=sha256:1978283d02d7088271d87fcdf3e4fe4385f34d004a05f0f99996a9d05fdf8cbd

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:17:12.870349Z digest=sha256:89dafb93cb5cce7ba83dab1b5bec0917fbbdfeb7f63ee4db47c544f9ac5e30dc

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.875628Z digest=sha256:20538ca9ea7d3d7b06469edb46186355ec4eaaeb96d868f64f5f143cb99f0ec9

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.880099Z digest=sha256:db2c42c9f457f8bec81163cb4e663757db41be07662e19f9d85c1ccb78f1b3f5

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.885034Z digest=sha256:81713368b3073ed58e8bb387c995776dc95b34facea3a10d69f820852d8dcfc4

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:17:12.889393Z digest=sha256:a6ff0d452aca60389ecb79199f2264194dea3ae5ab065f3fa36f82fda78104e0

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.896059Z digest=sha256:033e39b9dec6fd0aa5d1d773d4ddabbdc75aaf42693c7f89d6c071379174d3b1

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.900653Z digest=sha256:8a3b806deec8bb3305d4be9fc64989273ccce3ce72155d64731102ed9bf068bd

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:17:12.904990Z digest=sha256:a5523df672399cadda39b7a62998e9495c583fd85436fb9f63d744b6669aa67e

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

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no resolver link, observed 2026-08-15T19:17:12.911156Z

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source=pdf_text observed=2026-08-15T19:17:12.911156Z digest=sha256:06f1ae504a0df915adbfbef5f549a4be0fe79ec4ea575d2f973f9204c9594d87

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

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verified fuzzy
raw_fallback, observed 2026-08-15T19:17:13.374231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.916034Z digest=sha256:31e0f437c3cb0eff20fdcf5bfd17dd9254536f255f4f5d1fe754e4dbeefb3f5d

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.921396Z digest=sha256:64ca68455b8902fdaceb55ad0e7ab96c852e250b590faa0a1ce22a0eb3527542

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:17:12.926066Z digest=sha256:aa55bd1a5003de63e3b74704066edd6d4bd0b824ff258c4b8a7541686d588161

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.930413Z digest=sha256:f9606d61bad6caa4a17b368a00b16149c4302ee8ce4754938db7d87b3ee4a3da

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

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source=pdf_text observed=2026-08-15T19:17:12.935022Z digest=sha256:64a44dc2607c44d40055d672256c50fd70c39cabc2019efa8995245c39523cc4

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.939603Z digest=sha256:90a46b38c7ee7bcc88bcdc9fa4b874d243feb99e4738ef0ac2d6257e77c39b57

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.945809Z digest=sha256:cfc79294296ed5badd91a98305b8e3980ab97f9d6b8dfc8236326ab3719c37ba

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

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source=pdf_text observed=2026-08-15T19:17:12.949555Z digest=sha256:37ccc1e3317d7b9ae384767b0d8e0974df1e0a07081195a5d71b73b4c395e07a

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

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source=pdf_text observed=2026-08-15T19:17:12.954579Z digest=sha256:8bbb01e67c0c5c1f44c412ab0cb4435c84abb1ff630b66051952e7985240c935

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

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source=pdf_text observed=2026-08-15T19:17:12.960271Z digest=sha256:8d1ae8826143d8021f31f095d2bd9a69cc829738c808d49e5f3ce70f800c960b

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

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.965560Z digest=sha256:c661b098418a7d2a41759e986542a49cbb2a08393193bb7d49a81aee4700a14a

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

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source=pdf_text observed=2026-08-15T19:17:12.970400Z digest=sha256:c6681edd0d937f84b30e39c74582e0819e5df3ff0a9dff5372d5729268a35ea6

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

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no resolver link, observed 2026-08-15T19:17:12.975077Z

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source=pdf_text observed=2026-08-15T19:17:12.975077Z digest=sha256:0897b8677347b085a64b79f729f450a7c63a36d5013a5a197d42f219fbb1e773

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:17:12.981381Z digest=sha256:630eda50f2d3fe6f295edbb1fb1f20f482061482315cc8591ae3c1756ed0090e

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

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no resolver link, observed 2026-08-15T19:17:12.987294Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:17:12.987294Z digest=sha256:4950d6bf1193c7087219a768abb996f4db69046a3293a9a37990bb5d20b8c3c8

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

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source=pdf_text observed=2026-08-15T19:17:12.992174Z digest=sha256:94fe3b044a601d5b9a215ec4371654d861a778d0bef3e984fb0f690a4137ef98

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

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:12.998566Z digest=sha256:f9712db5441cf827b1938e8918a4b61b01ef861128cc78bdae6349d67f6516bc

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

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raw_fallback, observed 2026-08-15T19:17:13.259857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:13.004484Z digest=sha256:a50640829c574031b6c03afd1125cac4fee97e72886e18a8918f8031ddb1f8d3

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:17:13.008810Z digest=sha256:3181ad64394a59c1bafbdf6bb7c692f2ffaf0d89e7c08388eaa47894a00c7a54

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

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raw_fallback, observed 2026-08-15T19:17:13.247709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:13.013384Z digest=sha256:4dcfb4f640c27812adf1bc1b4590f1f99e17c82c30b63320be446a73d6f74609

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

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source=pdf_text observed=2026-08-15T19:17:13.018311Z digest=sha256:2712f7b2f3870bf0b773fd943973eac6ff9e0871c0080f39e706ab125733acd3

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

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raw_fallback, observed 2026-08-15T19:17:13.234441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:13.022571Z digest=sha256:915c16b5b4175066a8d763fd2e2c1a239b2574eab9e75123cd2ab2dfc4edbdd2

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
verified fuzzy
raw_fallback, observed 2026-08-15T19:17:13.221925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:36:13.434834Z digest=sha256:14adf40cb821c41a5eebbb7acc343a24b3f4aaf9962d850b7572629689da349c

Observation a75bef1e-ba3f-43de-a58e-02a0734cece2 · outbound

This paper cites streetcar.

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

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:17:13.203088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:17:13.027198Z digest=sha256:08f50f28e0062f9aac15c596da2cd80b037ef58eec22d015ffed4e794da88d4a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T15:43:50.422887Z digest=sha256:9df36d12cf022351d58e2e11d82c8e8f75ea79bcfb5ba4c49dd762caba69fcf4