Paper Citation Record · LEDGER

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario

As of 17 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.16898.

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

pith.paper-citation-record.v1
2506.16898 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:19:38.867264Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 918d74b2-d431-44cc-b23a-76ead6ad2dfc · outbound

This paper cites an unresolved cited work.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:19:39.136457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd6d6637-5ca3-4982-b8f8-db891a0a0bad · outbound

This paper cites Urban Safety Perception Through the Lens of Large Multimodal Models: A Persona-based Approach.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Urban Safety Perception Through the Lens of Large Multimodal Models: A Persona-based Approach

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.801732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9685886-c6a4-4e21-a90b-96d7780287c7 · outbound

This paper cites an unresolved cited work.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:19:39.123760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8fcf45c-1c3d-4507-97dc-d556fc122c4d · outbound

This paper cites DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.810566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6765691-6c76-496f-b31b-5c9c27d24101 · outbound

This paper cites an unresolved cited work.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.816171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4615c6d5-95ef-4452-afdd-03abdac71032 · outbound

This paper cites an unresolved cited work.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.819970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a576944-12fe-48f4-83ef-d23c15dade2f · outbound

This paper cites ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.824654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f896bf-f78f-47ad-84fc-21a3553107af · outbound

This paper cites an unresolved cited work.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.829584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fa201d7-f6e1-4a3d-9552-1cf310cafe2e · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.833327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5190d19-c6d2-4411-891d-a5847749a1c1 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.838210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a07601f7-55a8-408f-bbae-3cdf58923cc9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario DINOv2: Learning Robust Visual Features without Supervision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.842484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1271c6ec-e7b5-40f8-8d4e-245f7c39964a · outbound

This paper cites an unresolved cited work.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.850642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 556c94e3-b052-444e-8194-40a3e4389680 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.854766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89305d68-e5d7-47ea-a0a4-8ef3b3a18b4f · outbound

This paper cites Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.859211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7246a28-6809-426a-9dd6-cf6c02790123 · outbound

This paper cites Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion Models.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.863074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae68bafd-fa40-4e05-966d-683c38438825 · outbound

This paper cites Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:38.867264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.