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Paper Citation Record · LEDGER

UrbanSense:A Framework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.10342.

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

pith.paper-citation-record.v1
2506.10342 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:42.452641Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:33:02.848077Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bdb3c23a-2fd3-48b9-a66b-47b22a531084 · inbound

ArchiLense: A Framework for Quantitative Analysis of Architectural Styles Based on Vision Large Language Models cites this paper.

ArchiLense: A Framework for Quantitative Analysis of Architectural Styles Based on Vision Large Language Models UrbanSense:A Framework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:42.452641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:42.452641Z digest=sha256:225acb0afdb2db8ad0b189c1d51eb949f5898de5b5883d23e170d8729d9a2bea

Observation c25fb1b2-5f17-429e-a5a2-0bdecc07060e · inbound

FloorPlan-DeepSeek (FPDS): A multimodal approach to floorplan generation using vector-based next room prediction cites this paper.

FloorPlan-DeepSeek (FPDS): A multimodal approach to floorplan generation using vector-based next room prediction UrbanSense:A Framework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models

Reference 834

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:33:03.273526Z

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=2026-08-07T04:33:02.187960Z digest=sha256:56b41c5cdb3a3b3cf354449ac04e833fae05ec30553c763ad2a8d982d13f6798