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Paper Citation Record · LEDGER

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2509.02099.

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

pith.paper-citation-record.v1
2509.02099 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:57:00.723947Z

measured 35 of 35 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

35 of 35 outbound references displayed

  • verified exact2
  • verified fuzzy29
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b31cf9eb-0269-4aea-b275-b7885a2b1f03 · outbound

This paper cites Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework

Reference 1

Resolution
verified exact
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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 a78cb1d6-7b6f-4d70-b7ca-6743855ce7c6 · outbound

This paper cites Heterogeneous feature re-sampling for bal- anced pedestrian attribute recognition,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Heterogeneous feature re-sampling for bal- anced pedestrian attribute recognition,

Reference 2

Resolution
verified fuzzy
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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 b8470c25-9cab-454a-826b-31204b3aa7fa · outbound

This paper cites A comprehensive survey for generative data augmentation,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models A comprehensive survey for generative data augmentation,

Reference 3

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verified fuzzy
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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 bc6df149-7d6e-487a-a8d1-4c9246eb09a3 · outbound

This paper cites Diffusion models in vision: A sur- vey,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Diffusion models in vision: A sur- vey,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.718143Z

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=2026-08-05T11:57:00.513855Z digest=sha256:9d90298942851f896ee594c93ec9579677bad3b2dc5f6b9730a6894a63e25607

Observation 99cfc8ea-474f-44f4-abe6-803f757c7a4d · outbound

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

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models A richly annotated pedestrian dataset for person retrieval in real surveillance scenarios,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.696593Z

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=2026-08-05T11:57:00.520804Z digest=sha256:3d8bb425c33bf0b6bbb8558f7ea0e6e8826c72a65d61d4ff8a3b11ef8044af8c

Observation f350f25e-b54a-40b7-998c-a76cd595a438 · outbound

This paper cites Pedestrian attribute recognition: A survey,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Pedestrian attribute recognition: A survey,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.666173Z

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 01ae3c6b-c560-4df2-abc9-db90b5c8d81e · outbound

This paper cites A visual surveillance system to observe realistic road user behavior for improved pedestrian and cy- clist safety at crossroads,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models A visual surveillance system to observe realistic road user behavior for improved pedestrian and cy- clist safety at crossroads,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.647563Z

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=2026-08-05T11:57:00.547952Z digest=sha256:6f7c191f5eae3b67be17eae0db0b677de58aa90ada55e558f782c0fa7e117586

Observation e97799df-a483-42ac-9c57-948f9c8ccc13 · outbound

This paper cites Discrete soft biometric attribute-based person retrieval in surveillance videos,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Discrete soft biometric attribute-based person retrieval in surveillance videos,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.625758Z

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=2026-08-05T11:57:00.554000Z digest=sha256:0c5ba07bd357075b0dab854cfc556898132ca7e03296f0ce60ecca7442d680ec

Observation de3efa4c-e815-46ab-90b0-e43dff36b687 · outbound

This paper cites SSPNet: Scale and spatial priors guided gen- eralizable and interpretable pedestrian attribute recognition,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models SSPNet: Scale and spatial priors guided gen- eralizable and interpretable pedestrian attribute recognition,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.607651Z

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=2026-08-05T11:57:00.560728Z digest=sha256:a12ddc535abb1218664f4693a1056b987bd8e48c64477a265d2981b41831e452

Observation 17af07ff-8621-4672-9cf0-2b88ec7e7ffc · outbound

This paper cites Exploring attribute localization and corre- lation for pedestrian attribute recognition,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Exploring attribute localization and corre- lation for pedestrian attribute recognition,

Reference 11

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-05T11:57:00.566584Z digest=sha256:4c92411e6bd4d568d7ce27802c9adc7067854bb11b502db56675b17ab7ac67bb

Observation be812c8c-f442-4391-8687-9500a0f705a8 · outbound

This paper cites A solution to co-occurrence bias: Attributes disentanglement via mutual information minimization for pedestrian attribute recognition,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models A solution to co-occurrence bias: Attributes disentanglement via mutual information minimization for pedestrian attribute recognition,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.559761Z

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=2026-08-05T11:57:00.571716Z digest=sha256:752c98df360ec725d85f87f54c7dd62bc522e6fc401915eedd4252f27358bad5

Observation 8b6c1de2-fbd0-44a8-a8a5-0ebcfbdb59dc · outbound

This paper cites Transformer-based multi-task network for pedestrian attribute recognition,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Transformer-based multi-task network for pedestrian attribute recognition,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.539534Z

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=2026-08-05T11:57:00.576795Z digest=sha256:4a61068c8a03cbbbc91aefe05833f152d5309621e4e3c1d0ef97659936823107

Observation f377fb23-9d5d-40be-abdf-f46257d37ca9 · outbound

This paper cites Pedestrian attribute recognition at far distance,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Pedestrian attribute recognition at far distance,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.515709Z

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=2026-08-05T11:57:00.584963Z digest=sha256:d9b09a87b6db0d041346336f0797f65b555104d8a770ba60ba00704779417305

Observation e379cb82-4b31-480b-95b0-af3d10d3518b · outbound

This paper cites Attentive deep features for pedestrian analysis,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Attentive deep features for pedestrian analysis,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.494923Z

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=2026-08-05T11:57:00.591880Z digest=sha256:7bed41ef86b2001f71fe7d61f0701c2d49dff087d8703e2f262e2f6dcee0982d

Observation 771ff78d-a589-4e8e-9c52-cd9a13c13bd1 · outbound

This paper cites Robust clip-based detector for exposing diffu- sion model-generated images,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Robust clip-based detector for exposing diffu- sion model-generated images,

Reference 16

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-05T11:57:00.597809Z digest=sha256:ea233369b7d7ed186ff1eacdb9c6cd014a1206c5195c55b4240d560148e19e5d

Observation cbee5089-14b4-4572-ab10-bd56a3f90da8 · outbound

This paper cites Generative adversarial models for people attribute recognition in surveillance,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Generative adversarial models for people attribute recognition in surveillance,

Reference 17

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-05T11:57:00.603214Z digest=sha256:24f9a0d6f64fcbd3d6cb467a46c6f503c97f76e6e095a6cd2129362f1bcf7583

Observation 013fa690-6efd-4f7d-a03e-90f8fe268611 · outbound

This paper cites Zero-shot text-to-image generation,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Zero-shot text-to-image generation,

Reference 18

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-05T11:57:00.609901Z digest=sha256:02fb3469875386a507e4f05046575df19edfbab3334d1b1d0e39bd35707d41f3

Observation 8040d2e2-7066-4d68-871a-16a1022df5ff · outbound

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

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models High-resolution image synthesis with la- tent diffusion models,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.410748Z

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=2026-08-05T11:57:00.615035Z digest=sha256:c8b82e0864fcf2ed3393467fca680311f9a07de9fa246fe3a1c3a8295b1a6586

Observation 74c698a3-0126-4033-bf55-fe5105a84a2d · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:57:00.620222Z digest=sha256:55846b183e8faab621e4d1805d2a68fe1cf3602d3cba32c2d9c33e594ddc20ce

Observation 3285400e-56ea-487f-8732-d6887bb0398c · outbound

This paper cites Dynamic prompt optimizing for text-to-image generation,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Dynamic prompt optimizing for text-to-image generation,

Reference 21

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-05T11:57:00.626527Z digest=sha256:767b25351d1dbb77a230befa0bf974eb3502b2902de394c829b1228ada2699fd

Observation 88792b7a-b98c-4a33-800c-776edc29d083 · outbound

This paper cites An image is worth one word: Personaliz- ing text-to-image generation using textual inversion,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models An image is worth one word: Personaliz- ing text-to-image generation using textual inversion,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.360013Z

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=2026-08-05T11:57:00.632318Z digest=sha256:97421218aa63f8e557877fa276aa037eec07ff31f0f1094319d77c05b53cb567

Observation 8334036b-5ce8-478c-bd11-9a20121a85fd · outbound

This paper cites Prompt-to-prompt image editing with cross attention control,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Prompt-to-prompt image editing with cross attention control,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.337453Z

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=2026-08-05T11:57:00.637546Z digest=sha256:3c2941184bc5bf6bef8d9b77f23636f87ea72b88d785d29e0e1c36c78ffdfd28

Observation 0add0fe3-85b9-4c2f-88fb-36e1549bc1b1 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Lora: Low-rank adaptation of large language models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.284051Z

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=2026-08-05T11:57:00.644544Z digest=sha256:0adf936342d1fa2a940086a22c56652d1f2204e82a73d819c69b63c3aa2ccc9b

Observation c2ef7b2d-a152-463c-aa6f-b277efd695fc · outbound

This paper cites Autoaugment: Learning augmentation strategies from data,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Autoaugment: Learning augmentation strategies from data,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.256526Z

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=2026-08-05T11:57:00.650547Z digest=sha256:044dc1bfa88d884ba7402c62b4e716fd56cdd6617c14d20769e6ac9b824e4c9b

Observation 17cda106-b8a0-40ac-84e4-8c7cc4ea9b9e · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models mixup: Beyond Empirical Risk Minimization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T11:57:00.655779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:57:00.655779Z digest=sha256:1e809c95c702501d8a9011213605fafa6ca34bcf24f3becac491619c72422545

Observation 5bc931c7-8483-4e06-8d0c-ac206cee0e6c · outbound

This paper cites Practical automated data augmentation with a reduced search space,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Practical automated data augmentation with a reduced search space,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.229093Z

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=2026-08-05T11:57:00.661205Z digest=sha256:3a9f7bae7ce7aa0eac2ab8d96dd04de42ef487a699b90561d2e2c9c5a5db33f7

Observation e6f3d68f-d040-46fe-bd43-615c3902e310 · outbound

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

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Trivialaugment: Tuning-free yet state-of-the-art data augmentation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.204148Z

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=2026-08-05T11:57:00.666005Z digest=sha256:ae26f79dd99e8885d31b44ecb342db2d53d9459cbcf34b5a1022f0b4db952ef3

Observation 4d8a4663-3404-47cd-a05d-416b5ebc2895 · outbound

This paper cites Augmix: A simple data processing method to improve robustness and uncertainty,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Augmix: A simple data processing method to improve robustness and uncertainty,

Reference 29

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T11:57:01.178748Z

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=2026-08-05T11:57:00.672078Z digest=sha256:332a1f5be9da26c28a9283827ab5578a70daa94ac4842089fd9c3bf248b13c53

Observation 02b83b9a-707d-4925-9f5c-c5c5d0b2c8bb · outbound

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

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T11:57:00.687710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:57:00.687710Z digest=sha256:dd0634f2e283bf404e8ef07df419c26067642796412cf4e0e9ce3f56c0eeda8e

Observation 30ffdec1-3e1c-4b69-96e9-a01669216ad1 · outbound

This paper cites Comfyui dynamicprompts: Comfyui custom nodes for dynamic prompts,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Comfyui dynamicprompts: Comfyui custom nodes for dynamic prompts,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.149661Z

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=2026-08-05T11:57:00.693818Z digest=sha256:4492cc64720987eb5d83e8bd50a3342aa8c96dd8e7e8d6969cab7504400ba992

Observation 2813f6ea-1bcb-4a63-8338-270ec8470373 · outbound

This paper cites Comfyui-yolo-cropper: A simple comfyui node for image cropping and masking using yolov8,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Comfyui-yolo-cropper: A simple comfyui node for image cropping and masking using yolov8,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.126156Z

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=2026-08-05T11:57:00.699148Z digest=sha256:c2a934dbc45bbc169afbc7038ba8c1d72f8abb986e9facb7196dd3613a5cb428

Observation a807b73f-3ac7-4dc2-81c9-e46d0131f9af · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Yolov8: A novel object detection algorithm with enhanced performance and robustness,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.098418Z

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=2026-08-05T11:57:00.704750Z digest=sha256:fbe350507d661ef7eafe6bdc8b7f7879aee41e2990b64614710b0f406ade50ef

Observation f0a5f2b8-e86f-45a5-8b93-21092bbca024 · outbound

This paper cites Comfy-plasma: A simple plasma noise generator for comfyui,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Comfy-plasma: A simple plasma noise generator for comfyui,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.066997Z

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=2026-08-05T11:57:00.714329Z digest=sha256:8d7b0be39e7a9581b2b3b853ad1df9c2d6ab8024a9b25a57fd9ddbe93e5092b5

Observation 43c9ac99-30e0-405a-8552-72f46f4056e8 · outbound

This paper cites Image resize for comfyui: A custom node providing various tools for resizing images without distorting proportions,.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Image resize for comfyui: A custom node providing various tools for resizing images without distorting proportions,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:57:01.042875Z

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=2026-08-05T11:57:00.723947Z digest=sha256:702eb7c367d62fec3bd3ac07e57f681a4d50571528578e812b25c28163d8aca4

Observation 8a1bf072-3f12-43b7-b70b-f33fb2c3f02d · outbound

This paper cites an unresolved cited work.

A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models Unresolved cited work

Reference 42

Resolution
verified exact
raw_fallback, observed 2026-08-05T11:57:00.886994Z

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=2026-08-05T11:57:00.680564Z digest=sha256:ffdfc847c29082ac86ab78403bb4738f28e6dfb2a115e1b536c30c57894d8c0c

Pith citing papers

No inbound Pith citation observations are available.