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Paper Citation Record · LEDGER

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2509.02161.

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

pith.paper-citation-record.v1
2509.02161 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:53:05.568702Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 339018c9-2138-4d61-bdf9-7f516109e904 · outbound

This paper cites Human attribute recognition—a compre- hensive survey,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Human attribute recognition—a compre- hensive survey,

Reference 1

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Observation a34af292-e055-48cc-a723-9a85a9bf650a · outbound

This paper cites Generative adversarial models for people at- tribute recognition in surveillance,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Generative adversarial models for people at- tribute recognition in surveillance,

Reference 2

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Observation 695c3ce3-9c7d-446d-a3ff-1817576b6727 · outbound

This paper cites Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions,

Reference 3

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Observation 2cd1c357-0bce-4d37-9d5b-5c1fad07ec33 · outbound

This paper cites Is synthetic data from generative models ready for image recognition?.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Is synthetic data from generative models ready for image recognition?

Reference 4

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Observation 3dd1d62d-4759-4544-a8b8-6beb7e5cd8da · outbound

This paper cites Diversify your vision datasets with automatic diffusion-based augmentation,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Diversify your vision datasets with automatic diffusion-based augmentation,

Reference 5

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Observation 4b2fd64c-88e0-4424-b101-527e0c0e2735 · outbound

This paper cites Expanding small-scale datasets with guided imagination,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Expanding small-scale datasets with guided imagination,

Reference 6

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Observation d461a61c-a1fd-437f-95ad-87a676e2ac79 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models High-resolution image synthesis with latent diffusion models,

Reference 9

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Source-reported events for the cited work

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Observation 824266ae-3bf6-403a-9b20-24c819968b64 · outbound

This paper cites Pedestrian attribute recognition: A survey,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Pedestrian attribute recognition: A survey,

Reference 10

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Source-reported events for the cited work

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Observation bb3fb996-c343-465f-a2a2-67379a10ef59 · outbound

This paper cites Pedestrian attribute recognition at far distance,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Pedestrian attribute recognition at far distance,

Reference 11

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Source-reported events for the cited work

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Observation aa5d89d2-c6ff-4d4e-9fd0-2a2e43de1c44 · outbound

This paper cites A Richly Annotated Dataset for Pedestrian Attribute Recognition.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models A Richly Annotated Dataset for Pedestrian Attribute Recognition

Reference 12

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Source-reported events for the cited work

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Observation e6c8a690-d357-4154-a937-af288e4dda4f · outbound

This paper cites A richly annotated pedestrian dataset for person re- trieval in real surveillance scenarios,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models A richly annotated pedestrian dataset for person re- trieval in real surveillance scenarios,

Reference 13

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Observation fc888369-f2b7-4d1f-b298-5a99ddcdcc8e · outbound

This paper cites Hydraplus-net: Attentive deep features for pedes- trian analysis,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Hydraplus-net: Attentive deep features for pedes- trian analysis,

Reference 14

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Observation 21d48da9-5007-4c5f-a2a1-f54b837ae57c · outbound

This paper cites Generative adversarial networks,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Generative adversarial networks,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 11bf0365-a0a7-4ad2-a499-e16f2b441adf · outbound

This paper cites A systematic review of generative adversarial net- works for traffic state prediction: overview, taxonomy, and future prospects,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models A systematic review of generative adversarial net- works for traffic state prediction: overview, taxonomy, and future prospects,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation de215806-8e4e-4657-b4d0-ae6e75e39a76 · outbound

This paper cites Diffusion models beat gans on image syn- thesis,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Diffusion models beat gans on image syn- thesis,

Reference 18

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Source-reported events for the cited work

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Observation 9f410ac5-4ece-4371-b618-d8397f483e34 · outbound

This paper cites Sine: Single image editing with text-to-image diffusion models,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Sine: Single image editing with text-to-image diffusion models,

Reference 19

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Source-reported events for the cited work

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Observation cda26d3f-c470-46d9-b016-223541430e57 · outbound

This paper cites Cyclenet: Rethinking cycle consistency in text- guided diffusion for image manipulation,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Cyclenet: Rethinking cycle consistency in text- guided diffusion for image manipulation,

Reference 20

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Source-reported events for the cited work

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Observation d1253329-2726-4b30-b29e-6e7871af0162 · outbound

This paper cites Instance-aware data augmentation for unsuper- vised person re-identification,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Instance-aware data augmentation for unsuper- vised person re-identification,

Reference 21

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Source-reported events for the cited work

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Observation 1d1cf1c4-dc30-48ee-83af-377752972e22 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 22

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Source-reported events for the cited work

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Observation af2e400b-cb4b-4e64-a604-82d4dcbab2bf · outbound

This paper cites Synthesizing efficient data with diffusion models for person re-identification pre-training,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Synthesizing efficient data with diffusion models for person re-identification pre-training,

Reference 23

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Source-reported events for the cited work

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Observation 53f2cd9a-6936-4c87-8bc1-205cde5068f1 · outbound

This paper cites Pose-dIVE: Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Pose-dIVE: Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification

Reference 24

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Observation 654644ab-70b2-4f8e-bf70-8035a8af13a7 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models U-net: Convolutional networks for biomedical image segmentation,

Reference 25

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Observation 417dea7f-5715-47e9-9806-81ec8cc03154 · outbound

This paper cites Towards unified text-based person retrieval: A large-scale multi-attribute and language search benchmark,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Towards unified text-based person retrieval: A large-scale multi-attribute and language search benchmark,

Reference 26

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Source-reported events for the cited work

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Observation 1bf857d0-94b9-4d15-b015-d28d6d473211 · outbound

This paper cites Tju-dhd: A diverse high-resolution dataset for object detection,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Tju-dhd: A diverse high-resolution dataset for object detection,

Reference 27

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Source-reported events for the cited work

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Observation 4a827016-73ea-414e-9871-1b422c8f3938 · outbound

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

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 28

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Source-reported events for the cited work

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Observation 86dbe25a-667a-4ad8-9f3e-0ced8f9cbc78 · outbound

This paper cites Integrating language-derived appearance ele- ments with visual cues in pedestrian detection,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Integrating language-derived appearance ele- ments with visual cues in pedestrian detection,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6c4b82ca-f035-49c6-8cc2-88042853d9d7 · outbound

This paper cites Autoaugment: Learning augmentation strate- gies from data,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Autoaugment: Learning augmentation strate- gies from data,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ba3a1d47-839a-4471-b591-3fb92b01a2dd · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Cutmix: Regularization strategy to train strong classifiers with localizable features,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d3137721-c200-41e8-bcfd-ff1b145f4cc4 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models mixup: Beyond Empirical Risk Minimization

Reference 32

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Source-reported events for the cited work

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Observation a55c80a9-bb4c-4f3a-9829-ade4261d1a57 · outbound

This paper cites Randaugment: Practical automated data aug- mentation with a reduced search space,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Randaugment: Practical automated data aug- mentation with a reduced search space,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2e183d47-a205-4fd3-bbf6-e389c62e5718 · outbound

This paper cites Trivialaugment: Tuning-free yet state-of-the- art data augmentation,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Trivialaugment: Tuning-free yet state-of-the- art data augmentation,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1b631833-5a45-48e9-980e-a96993f2cd91 · outbound

This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 35

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unresolved
no resolver link, observed 2026-08-05T11:53:05.541238Z

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source=pdf_text observed=2026-08-05T11:53:05.541238Z digest=sha256:d5e354bd77ff8387cbc18e1c8599862e199b34e379fe791a1e4a8796fd55acd0

Observation 87c55816-bdd7-451d-904d-16a4f95ea536 · outbound

This paper cites Deep residual learning for image recognition,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Deep residual learning for image recognition,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:53:05.780252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 00008b15-cea3-46ff-88e0-0b5f8cb0e2d1 · outbound

This paper cites Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting

Reference 37

Resolution
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no resolver link, observed 2026-08-05T11:53:05.549686Z

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source=pdf_text observed=2026-08-05T11:53:05.549686Z digest=sha256:06aa7609dbb35101cb84129406e0aef648bab71216892f7bbb4d9d682cd9632c

Observation 8557a114-b986-434f-b182-8f02aa5bf799 · outbound

This paper cites Integrating language-derived appearance elements with visual cues in pedestrian detection,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Integrating language-derived appearance elements with visual cues in pedestrian detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:53:05.767131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1d8f7514-3a77-4f4b-8a42-57c59d3b1aa0 · outbound

This paper cites Towards unified text-based person retrieval: A large-scale multi-attribute and language search benchmark,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Towards unified text-based person retrieval: A large-scale multi-attribute and language search benchmark,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:53:05.753749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T11:53:05.557336Z digest=sha256:db87bcbba0044615b70573f65190f594a60f2f72ac7eccf37dd4019dcf3a2f1b

Observation 1b651da3-3a39-4044-9345-f696d7814eee · outbound

This paper cites DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:53:05.697489Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T11:53:05.561340Z digest=sha256:2a222d4a66c70f7ad579776145fb4fc34f0e5de697fe6128dac9d3b2d522b758

Observation 6a676a4a-d5db-4a91-b089-34eb08a29d7d · outbound

This paper cites Diversify your vision datasets with automatic diffusion-based augmentation,.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Diversify your vision datasets with automatic diffusion-based augmentation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:53:05.740339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T11:53:05.564970Z digest=sha256:c43cf207373a0ae45c23d842ce51e2e476c89117f26f9c92c5cf2fbdf19affd2

Observation f1881e4b-6665-4117-9da1-4da3806fd73e · outbound

This paper cites Effective Data Augmentation With Diffusion Models.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Effective Data Augmentation With Diffusion Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T11:53:05.568702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:53:05.568702Z digest=sha256:1efd7ce5bba8a589613817bd6d72cff005ae5b22f60f3fb28487c03225e66afd

Pith citing papers

No inbound Pith citation observations are available.