Paper Citation Record · LEDGER

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection

As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.13221.

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

pith.paper-citation-record.v1
2507.13221 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:31:06.824849Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

22 of 22 outbound references displayed

verified exact3
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier3
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation faa5d390-5a10-4a7c-94e5-9236850c6ba1 · outbound

This paper cites Dataset and benchmark for detecting moving objects in construction sites,.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Dataset and benchmark for detecting moving objects in construction sites,

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:31:08.689543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49365d4e-0cce-4ee8-859c-0da319d1b7e6 · outbound

This paper cites Vision-based excavator pose estimation using synthetically generated datasets with domain randomization,.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Vision-based excavator pose estimation using synthetically generated datasets with domain randomization,

Reference 2

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:31:08.416798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06ec89ad-faa6-4ac3-ab82-c02fe98f04e8 · outbound

This paper cites Artificial Intelligence and smart vision for building and Construction 4.0: Machine and Deep Learning Methods and Applications.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Artificial Intelligence and smart vision for building and Construction 4.0: Machine and Deep Learning Methods and Applications

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:09.514441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 575b3af0-0814-4708-9bf1-8de67ccf7c69 · outbound

This paper cites Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques,.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques,

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:31:08.260209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4412c912-24a6-4314-add6-317852e9ad39 · outbound

This paper cites Combining inverse photogrammetry and BIM for automated labeling of construction site images for machine learning,.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Combining inverse photogrammetry and BIM for automated labeling of construction site images for machine learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:09.378980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ce37b77-b324-4847-b1e9-9918d8172b12 · outbound

This paper cites Realism Assessment for Synthetic Images in Robot Vision through Performance Characterization,.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Realism Assessment for Synthetic Images in Robot Vision through Performance Characterization,

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:31:08.064724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 493eb632-105a-4ea2-ac64-e29b8e323b76 · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection ImageNet: A large-scale hierarchical image database

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:05.663806Z

Source-reported events for the cited work

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Observation d669278b-c896-4278-836c-a3f8780a3590 · outbound

This paper cites SODA: A large-scale open site object detection dataset for deep learning in construction,.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection SODA: A large-scale open site object detection dataset for deep learning in construction,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:05.757034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9679a92-f968-44f2-93da-399ecf607051 · outbound

This paper cites Proximity Prediction of Mobile Objects to Prevent Contact-Driven Accidents in Co-Robotic Construction.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Proximity Prediction of Mobile Objects to Prevent Contact-Driven Accidents in Co-Robotic Construction

Reference 9

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:31:07.720119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56193644-2d6e-4b74-ab55-5b1a4bd11f1d · outbound

This paper cites Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and Operation Cycles,.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and Operation Cycles,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:05.914461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a5b4c67-e37e-4c81-a5db-e3ca1f409b2b · outbound

This paper cites Training a Visual Scene Understanding Model Only with Synthetic Construction Images.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Training a Visual Scene Understanding Model Only with Synthetic Construction Images

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T16:31:07.144862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 949d2b1c-e4ed-41b1-9e0b-116272021c04 · outbound

This paper cites Hybrid DNN training using both synthetic and real construction images to overcome training data shortage.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Hybrid DNN training using both synthetic and real construction images to overcome training data shortage

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:09.245993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8f53996-2072-4b9b-946e-bfc2ed048b95 · outbound

This paper cites This work was presented at I3CE 2024 and is currently under consideration for publication in ASCE proceedings.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection This work was presented at I3CE 2024 and is currently under consideration for publication in ASCE proceedings

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:09.121603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20ef2193-68fb-4f85-8026-2ce8c9c7fda9 · outbound

This paper cites Human–Robot Collaboration in Construction: Classification and Research Trends.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Human–Robot Collaboration in Construction: Classification and Research Trends

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-06T16:31:06.175052Z

Source-reported events for the cited work

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Observation 5b54e2ef-6921-43a7-8042-6273f27017d3 · outbound

This paper cites Microsoft Coco: Common Objects in Context.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Microsoft Coco: Common Objects in Context

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-06T16:31:06.241078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc8378e-7fc4-42e9-8332-d2b5582612e4 · outbound

This paper cites an unresolved cited work.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Unresolved cited work

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:31:07.388173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5b57b4d-6cf0-4461-8542-a8e52cbac50e · outbound

This paper cites Fake it till you make it: Training Deep Neural Networks for Worker Detection using Synthetic Data.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Fake it till you make it: Training Deep Neural Networks for Worker Detection using Synthetic Data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:09.008585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0273de52-c41c-4f99-a8e4-81709af18cf3 · outbound

This paper cites <https://doi.org/10.7146/aul.455.c229>.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection <https://doi.org/10.7146/aul.455.c229>

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T16:31:07.042611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 815325c9-30fb-466b-8c4f-4ff8851f3902 · outbound

This paper cites Technologies for digital twin applications in construction.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Technologies for digital twin applications in construction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:08.897138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f6e5a03-dd78-40ef-b833-f1f00656ae31 · outbound

This paper cites YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:06.642306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25f0715-04c9-402d-a76c-64563532367d · outbound

This paper cites Investigating Prompt Engineering in Diffusion Models.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Investigating Prompt Engineering in Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:06.705475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e75f64-f035-47e1-9f02-ededbcb287ce · outbound

This paper cites Diffusion Models: A Comprehensive Survey of Methods and Applications.

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Diffusion Models: A Comprehensive Survey of Methods and Applications

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:06.824849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.