Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T21:09:55.273975Z
Paper Citation Record · LEDGER
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata
As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2508.09415.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f37de061-12af-4873-a6f2-c67ab37c16eb · outbound
This paper cites Adams, Christine B.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Adams, Christine B
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 12207a9c-9a93-4dd7-a54c-da20716aef91 · outbound
This paper cites Cough- lan, and Sergio Mascetti.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Cough- lan, and Sergio Mascetti
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 45f82a41-be05-4be9-8c04-35bb11c76f44 · outbound
This paper cites Improving Pedestrian Infrastructure Inventory in Massachusetts Using Mobile LiDAR.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Improving Pedestrian Infrastructure Inventory in Massachusetts Using Mobile LiDAR
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation 8b1f9246-bdb6-497e-86f4-ce5191303229 · outbound
This paper cites Froehlich, and Yochai Eisenberg.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Froehlich, and Yochai Eisenberg
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation d0e5042a-d2ce-4f1f-bb1b-328b3fb206f9 · outbound
This paper cites Street view imagery in urban analytics and GIS: A review.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Street view imagery in urban analytics and GIS: A review
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation c9ab8fe2-4e56-4fea-ada0-67f414513377 · outbound
This paper cites Wheelchair Pilots.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Wheelchair Pilots
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 88202023-0a2e-4735-8a15-7475db07ec84 · outbound
This paper cites Parkhi, and Andrew Zisserman.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Parkhi, and Andrew Zisserman
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9278ff97-c665-41fe-90f5-128fcac249c5 · outbound
This paper cites an unresolved cited work.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Unresolved cited work
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 59c8ed6e-5470-4770-8691-b4892893ee9f · outbound
This paper cites DeepWalk ADA Solutions.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata DeepWalk ADA Solutions
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1dbe77bb-b743-4939-8cda-79526b428a14 · outbound
This paper cites Squeaky wheels: Missing data, disability, and power in the smart city.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Squeaky wheels: Missing data, disability, and power in the smart city
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 10629fab-c57d-4cdd-9130-cd11ac19072e · outbound
This paper cites ImageNet: A large-scale hierarchical im- age database.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata ImageNet: A large-scale hierarchical im- age database
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 546854fd-9de7-4817-be4d-4ced1f85e8ff · outbound
This paper cites Froehlich.
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f9429ee7-c1f6-46bf-8fac-aef57f0938d6 · outbound
This paper cites Using GeoAI to Inventory ADA Curb Ramps.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Using GeoAI to Inventory ADA Curb Ramps
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c24043a4-b8b5-4711-ba6a-48a16e427164 · outbound
This paper cites Froehlich, Anke M.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Froehlich, Anke M
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e226eea9-4337-4288-8af7-883e2d20a618 · outbound
This paper cites Using deep learning and google street view to estimate the demographic makeup of neighborhoods across the united states.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Using deep learning and google street view to estimate the demographic makeup of neighborhoods across the united states
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation 821ddd56-7545-4626-9ba8-344ecf2eda8c · outbound
This paper cites Combining crowdsourcing and google street view to identify street-level accessibility problems.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Combining crowdsourcing and google street view to identify street-level accessibility problems
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 64b79a1a-1efb-4e55-907e-3ee71312eb3d · outbound
This paper cites Tohme: Detecting curb ramps in google street view using crowdsourcing, computer vision, and machine learning.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Tohme: Detecting curb ramps in google street view using crowdsourcing, computer vision, and machine learning
Reference 17
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c2ba028f-ce2f-4671-aefb-25abd72e3136 · outbound
This paper cites Silva, and Jon E.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Silva, and Jon E
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ac98002-26e8-439f-8e39-74c4b2a15234 · outbound
This paper cites Cesar, and Claudio T.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Cesar, and Claudio T
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8d56189f-7965-47c0-aa7e-c5ccbddaddab · outbound
This paper cites Global streetscapes—a comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Global streetscapes—a comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ac578d55-4469-4d4d-aceb-bf90da9f2361 · outbound
This paper cites An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities: A people-based approach.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities: A people-based approach
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 15caa9e6-a009-40fc-a08e-57a9a1b42725 · outbound
This paper cites Kingma and Jimmy Ba.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Kingma and Jimmy Ba
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation f8ebaec1-ec94-4bc5-97ae-13acec18d245 · outbound
This paper cites Take a Look Around: Using Street View and Satellite Images to Estimate House Prices.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Take a Look Around: Using Street View and Satellite Images to Estimate House Prices
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ffc1b992-2358-4423-8f7e-32cdc26a82d7 · outbound
This paper cites The role of urban and so- cial factors in the accessibility of urban areas for people with motor and visual disabilities.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata The role of urban and so- cial factors in the accessibility of urban areas for people with motor and visual disabilities
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1a72bb7f-0e0f-478b-b641-24f4e4edf1e7 · outbound
This paper cites The Mapillary Vistas Dataset for Se- mantic Understanding of Street Scenes.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata The Mapillary Vistas Dataset for Se- mantic Understanding of Street Scenes
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 54e680df-4365-4819-a4b2-4a70707116fe · outbound
This paper cites Increasing In- dependence for Older People through Good Street Design.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Increasing In- dependence for Older People through Good Street Design
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 33f6b11a-252a-47bc-8929-6df89808acf6 · outbound
This paper cites Sidewalk extraction using aerial and street view im- ages.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Sidewalk extraction using aerial and street view im- ages
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 495f6349-63b1-4ba0-9805-24369b329ab8 · outbound
This paper cites Curb Ramps.
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8b648489-8114-4beb-86e5-99be8cba3e80 · outbound
This paper cites Pedestrian Ramp Complaint · NYC311.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Pedestrian Ramp Complaint · NYC311
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4467ba5e-5480-4929-8afc-6035119c4449 · outbound
This paper cites Pedestrian Ramp Locations | NYC Open Data.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Pedestrian Ramp Locations | NYC Open Data
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 31b4b3c5-7555-4f6c-8844-325badb187bb · outbound
This paper cites Curb Ramps.
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e9213f9a-8ff8-4ab7-ac91-8a18db770bec · outbound
This paper cites Department of Transportation.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Department of Transportation
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6206074d-1bc0-4004-9bd1-741b65b39a5e · outbound
This paper cites Rosenberg, Deborah L.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Rosenberg, Deborah L
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c6b5558e-4b9f-436f-be3e-e88ef51354c5 · outbound
This paper cites Rundle, Michael D.M.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Rundle, Michael D.M
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fcc87655-f5bd-4e6c-a6a5-ba5a8a3b62b8 · outbound
This paper cites Project Sidewalk: A Web-based Crowdsourcing Tool for Collecting Sidewalk Accessibility Data At Scale.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Project Sidewalk: A Web-based Crowdsourcing Tool for Collecting Sidewalk Accessibility Data At Scale
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 78e19fa8-b2b3-4133-a3df-8b627686b1c5 · outbound
This paper cites Road Segmentation for Re- mote Sensing Images Using Adversarial Spatial Pyramid Networks.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Road Segmentation for Re- mote Sensing Images Using Adversarial Spatial Pyramid Networks
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 67379103-de7a-4061-8065-35fb52f1afb4 · outbound
This paper cites Khoshgoftaar.
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4be446bb-6d08-4b6e-90c7-1f2898cc8f4c · outbound
This paper cites sidewalk-cv-assets19.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata sidewalk-cv-assets19
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6668b604-57c3-432d-bdf6-e3f0490a7b12 · outbound
This paper cites Mobility barriers and enablers and their implications for the wellbeing of disabled children and young people in Aotearoa New Zealand: A cross-sectional qualitative study.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Mobility barriers and enablers and their implications for the wellbeing of disabled children and young people in Aotearoa New Zealand: A cross-sectional qualitative study
Reference 39
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation abe87a30-af3e-4dfb-a43c-0aacdcab08f5 · outbound
This paper cites Stollof and Janet M.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Stollof and Janet M
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 17271180-8c48-42de-a80b-9c91ee3e23e2 · outbound
This paper cites Label Studio: Data labeling soft- ware, 2020-2025.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Label Studio: Data labeling soft- ware, 2020-2025
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:09:57.117490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ace2afa9-05f3-4d3d-a086-dc909d832e52 · outbound
This paper cites Olsen, Yang Zhou, Oregon State University, and Pacific Northwest Transporta- tion Consortium (PacTrans) (UTC).
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Olsen, Yang Zhou, Oregon State University, and Pacific Northwest Transporta- tion Consortium (PacTrans) (UTC)
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:09:56.908528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 22595320-d562-4146-a058-6e64ba35da5e · outbound
This paper cites Congress.
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 40d0dba8-1899-46b7-b008-b5a492e630ce · outbound
This paper cites Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:09:56.519159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a8e82eb4-0d1d-4a7e-8e7d-20b4c8001294 · outbound
This paper cites Froehlich.
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:09:56.353845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1283dee9-2aa8-4aee-a4ff-4c3b09725ddf · outbound
This paper cites ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders, 2023.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders, 2023
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:09:56.149805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ea80cee6-dd31-40eb-b655-39ead411e42c · outbound
This paper cites Simple Baselines for Human Pose Estimation and Tracking.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Simple Baselines for Human Pose Estimation and Tracking
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:09:55.910769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2ca4b332-fcfa-4b6a-ab65-6d7e52c6aaaa · outbound
This paper cites Wider face: A face detection benchmark.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Wider face: A face detection benchmark
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:09:55.572778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6b137032-f737-4852-addf-a83b4deea0a1 · outbound
This paper cites an unresolved cited work.
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata Unresolved cited work
Reference 2022
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T21:09:57.873416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.