Paper Citation Record · LEDGER

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models

As of 22 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2507.02714.

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

pith.paper-citation-record.v1
2507.02714 v1

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measured 57 of 57 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation 63a8f5a7-2638-4db2-8ec5-f3b2ea9a990c · outbound

This paper cites Fair Resource Allocation in Multi-Task Learning.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Fair Resource Allocation in Multi-Task Learning

Reference 1

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Observation 2bce10df-321d-4bd8-8102-58307aefb595 · outbound

This paper cites Improving image generation with better captions.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Improving image generation with better captions

Reference 2

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This paper cites Adetailer.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Adetailer

Reference 3

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Observation 8120f3e8-2233-4693-80a4-7e37b939a98d · outbound

This paper cites Viton-hd: High-resolution virtual try-on via misalignment-aware normalization.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Viton-hd: High-resolution virtual try-on via misalignment-aware normalization

Reference 4

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Observation b4f54a3b-345d-4d47-85c8-871d827a262d · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 5

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Observation db074655-d52d-4c2f-b89a-f78813524eaf · outbound

This paper cites Stylegan-human: A data-centric odyssey of human genera- tion.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Stylegan-human: A data-centric odyssey of human genera- tion

Reference 6

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Observation 68434b83-41ec-4d7e-a6b3-1e615268d8a9 · outbound

This paper cites Mini-internvl: a flexible-transfer pocket multi-modal model with 5% parameters and 90% perfor- mance.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Mini-internvl: a flexible-transfer pocket multi-modal model with 5% parameters and 90% perfor- mance

Reference 7

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Observation 27afda73-cd19-4836-b2bf-ffed93de43e1 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 8

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This paper cites Denoising dif- fusion probabilistic models.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Denoising dif- fusion probabilistic models

Reference 9

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Observation 3de79f89-2180-411e-a5da-1a8f314dcef7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 10

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Observation af65d79d-135b-4621-b2a7-b99e1472b33a · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 11

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Unresolved cited work

Reference 12

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Observation df2b8f4e-c3b7-4fc6-b75b-ff13b1e2cb80 · outbound

This paper cites Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991

Reference 13

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Observation d134dfde-be47-4337-ad24-27ebbaf64b3b · outbound

This paper cites Hu- man image generation: A comprehensive survey.ACM Com- puting Surveys, 56(11):1–39, 2024.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Hu- man image generation: A comprehensive survey.ACM Com- puting Surveys, 56(11):1–39, 2024

Reference 14

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Observation c72128f2-986b-4f14-9c2b-5d09c194cccf · outbound

This paper cites Human-art: A versatile human-centric dataset bridg- ing natural and artificial scenes.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Human-art: A versatile human-centric dataset bridg- ing natural and artificial scenes

Reference 15

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Observation 59aa9a0f-c9a3-497e-806c-8b949f0a5455 · outbound

This paper cites Humansd: A native skeleton-guided diffusion model for human image generation.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Humansd: A native skeleton-guided diffusion model for human image generation

Reference 16

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Observation 3ee82511-9d3a-4bc9-885f-87f3b7ba9ed4 · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics

Reference 17

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This paper cites Auto-Encoding Variational Bayes.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Auto-Encoding Variational Bayes

Reference 18

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This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 19

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Observation 10a9de8b-a27e-4f3f-adac-3e44847eb705 · outbound

This paper cites Con- trolnet++: Improving conditional controls with efficient consistency feedback: Project page: liming-ai.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Con- trolnet++: Improving conditional controls with efficient consistency feedback: Project page: liming-ai

Reference 20

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Observation 6f1bac8b-49ed-4069-834a-72a4a72a7960 · outbound

This paper cites Cosmicman: A text-to-image foun- dation model for humans.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Cosmicman: A text-to-image foun- dation model for humans

Reference 21

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This paper cites Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning

Reference 22

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models End- to-end multi-task learning with attention

Reference 23

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This paper cites HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion

Reference 24

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This paper cites Handrefiner: Refining malformed hands in generated images by diffusion-based conditional inpainting.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Handrefiner: Refining malformed hands in generated images by diffusion-based conditional inpainting

Reference 25

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models MediaPipe: A Framework for Building Perception Pipelines

Reference 26

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Bandwidth sharing: objectives and algorithms

Reference 27

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Fair end-to-end window- based congestion control

Reference 28

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This paper cites Whose hands are these? hand detec- tion and hand-body association in the wild.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Whose hands are these? hand detec- tion and hand-body association in the wild

Reference 29

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This paper cites Han- diffuser: Text-to-image generation with realistic hand ap- pearances.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Han- diffuser: Text-to-image generation with realistic hand ap- pearances

Reference 30

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Multi-Task Learning as a Bargaining Game

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Pareto multi objective optimization

Reference 32

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Recon- structing hands in 3d with transformers

Reference 33

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

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models From Sparse to Soft Mixtures of Experts

Reference 35

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This paper cites Learning transferable visual models from natural language supervi- sion.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Learning transferable visual models from natural language supervi- sion

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 37

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This paper cites You only look once: Unified, real-time object de- tection.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models You only look once: Unified, real-time object de- tection

Reference 38

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models High-resolution image synthesis with latent diffusion models

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis

Reference 40

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Multi-task learning as multi-objective optimization

Reference 41

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Denoising Diffusion Implicit Models

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Mixture-of- hand-experts: Repainting the deformed hand images gener- ated by diffusion models

Reference 43

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This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 45

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This paper cites Effec- tive whole-body pose estimation with two-stages distillation.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Effec- tive whole-body pose estimation with two-stages distillation

Reference 46

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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Gradient surgery for multi-task learning

Reference 47

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Observation 59758d5a-4e7d-4c07-8527-919f04998b8c · outbound

This paper cites Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks

Reference 48

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Observation 63399668-3ab5-4ad3-954e-8dbf56f06542 · outbound

This paper cites Stack- gan++: Realistic image synthesis with stacked generative ad- versarial networks.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Stack- gan++: Realistic image synthesis with stacked generative ad- versarial networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:54.595109Z

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Observation aae4a726-d3c1-43eb-b91c-285c0605f6a9 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Adding conditional control to text-to-image diffusion models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:54.472725Z

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Observation 21ee0bd1-3885-4006-b6de-679e69d0c88a · outbound

This paper cites Scalable person re-identification: A benchmark.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Scalable person re-identification: A benchmark

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:54.353138Z

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Observation 1af36e6e-faf7-42b0-aa41-437512adfc48 · outbound

This paper cites MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:29:53.622608Z

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Observation f6c3a202-7839-4cb0-92c1-b3f5add50f41 · outbound

This paper cites an unresolved cited work.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:54.222857Z

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Observation 5da0ece5-5236-4648-a856-e2ff9ec52559 · outbound

This paper cites an unresolved cited work.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:54.091954Z

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Observation 8c0424c8-39ed-4d1f-bc06-c83f78d6d131 · outbound

This paper cites Regarding the gen- eration of local masks for the faces and hands, we first gen- erate mask images using the pre-annotated bounding box information from the dataset.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Regarding the gen- eration of local masks for the faces and hands, we first gen- erate mask images using the pre-annotated bounding box information from the dataset

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:53.985201Z

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Observation 0d88a1aa-6ac1-4edc-97bc-7fc5ae5811ba · outbound

This paper cites More Quantitative Comparisons In addition to comparing the image quality generated by the models, we also conduct experiments on memory usage and inference speed.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models More Quantitative Comparisons In addition to comparing the image quality generated by the models, we also conduct experiments on memory usage and inference speed

Reference 56

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:29:53.452785Z

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Observation 5805fd9f-4d94-4032-90ac-58b1a3ceb19b · outbound

This paper cites In addition to the baseline methods mentioned in our paper, we also com- pare two close-source methods for human image generation called HanDiffuser[30] and HyperHuman[24].

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models In addition to the baseline methods mentioned in our paper, we also com- pare two close-source methods for human image generation called HanDiffuser[30] and HyperHuman[24]

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:53.878472Z

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Pith citing papers

Observation 97df9738-de81-4dc3-af7c-9d8a31537b9e · inbound

Towards Anatomically Plausible Human Image Generation via Synthetic Localized Preferences cites this paper.

Towards Anatomically Plausible Human Image Generation via Synthetic Localized Preferences FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:14:04.731411Z

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