Paper Citation Record · LEDGER

Decoding Neighborhood Environments with Large Language Models

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.08163.

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

pith.paper-citation-record.v1
2505.08163 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:06:21.827592Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

37 of 37 outbound references displayed

verified exact0
verified fuzzy29
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76295ab0-6485-464a-aae0-ff49727fb7d2 · outbound

This paper cites Physical activity and the human body in the (increasingly smart) built environment,.

Decoding Neighborhood Environments with Large Language Models Physical activity and the human body in the (increasingly smart) built environment,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.516965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac20ff84-1e75-4d42-b8f2-56933ed0824e · outbound

This paper cites Analyzing associations between chronic disease prevalence and neighborhood quality through google street view images,.

Decoding Neighborhood Environments with Large Language Models Analyzing associations between chronic disease prevalence and neighborhood quality through google street view images,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.501866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation af6c029f-212f-48e7-8526-09172c5f1682 · outbound

This paper cites Leveraging 31 million google street view images to characterize built environments and examine county health outcomes,.

Decoding Neighborhood Environments with Large Language Models Leveraging 31 million google street view images to characterize built environments and examine county health outcomes,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.487095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a94f33af-15df-4c22-ae37-fc05b91218ca · outbound

This paper cites Neighborhood environ- ments: disparities in access to healthy foods in the us,.

Decoding Neighborhood Environments with Large Language Models Neighborhood environ- ments: disparities in access to healthy foods in the us,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.472502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5f555da6-22a2-401c-b7ef-e6526dedfa57 · outbound

This paper cites Google street view derived built environment indicators and associations with state-level obesity, physical activity, and chronic disease mortality in the united states,.

Decoding Neighborhood Environments with Large Language Models Google street view derived built environment indicators and associations with state-level obesity, physical activity, and chronic disease mortality in the united states,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.457758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 07079934-35dd-41ea-a7e1-64ef1a1064be · outbound

This paper cites Google street view images as predictors of patient health outcomes, 2017–2019,.

Decoding Neighborhood Environments with Large Language Models Google street view images as predictors of patient health outcomes, 2017–2019,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.442204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8cf0c44f-ab8d-4d89-8f34-7338d5a5370a · outbound

This paper cites The relative influence of individual, social and physical environment determinants of physical activity,.

Decoding Neighborhood Environments with Large Language Models The relative influence of individual, social and physical environment determinants of physical activity,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.424699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d60cba40-a623-4dfa-82da-0773ba21588e · outbound

This paper cites Does neighborhood collective efficacy for families change over time? the boston neighborhood survey,.

Decoding Neighborhood Environments with Large Language Models Does neighborhood collective efficacy for families change over time? the boston neighborhood survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.409999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29185c45-757a-47e2-bcb4-9929722431de · outbound

This paper cites Deep metric learning based on scalable neighborhood components for remote sensing scene characterization,.

Decoding Neighborhood Environments with Large Language Models Deep metric learning based on scalable neighborhood components for remote sensing scene characterization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.395033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f680838-8c50-4807-b88d-07be02b0b0ee · outbound

This paper cites Developing a reliable audit instrument to measure the physical environment for physical activity,.

Decoding Neighborhood Environments with Large Language Models Developing a reliable audit instrument to measure the physical environment for physical activity,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.379768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0e032a63-9bb6-4835-8131-e983cece96c2 · outbound

This paper cites Multi- task classification for improved health outcome prediction based on environmental indicators,.

Decoding Neighborhood Environments with Large Language Models Multi- task classification for improved health outcome prediction based on environmental indicators,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.364985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e5c24859-776d-45d5-ab0f-c3572520cad2 · outbound

This paper cites Openai api reference - chat,.

Decoding Neighborhood Environments with Large Language Models Openai api reference - chat,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.350064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 509f4927-3677-4c3f-aaac-dd9df20b1e98 · outbound

This paper cites Deepseek,.

Decoding Neighborhood Environments with Large Language Models Deepseek,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.334393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 26f6ee1a-0e34-4854-bd14-7a1739742956 · outbound

This paper cites an unresolved cited work.

Decoding Neighborhood Environments with Large Language Models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:06:22.317904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation df9ad5c9-7a2c-4a04-b175-ba695f669073 · outbound

This paper cites Chatgpt-powered hierarchical comparisons for image classification,.

Decoding Neighborhood Environments with Large Language Models Chatgpt-powered hierarchical comparisons for image classification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.301388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5790e5ff-d039-4793-9a5a-e8493aff4b4d · outbound

This paper cites Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data.

Decoding Neighborhood Environments with Large Language Models Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:21.729265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001092cc-131b-4f3a-b11c-1ee0f9b5370c · outbound

This paper cites Yolov11,.

Decoding Neighborhood Environments with Large Language Models Yolov11,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.285166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3b5bea3-2673-44c2-a114-b96eb6a2784a · outbound

This paper cites Claude ai,.

Decoding Neighborhood Environments with Large Language Models Claude ai,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.266720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e91eb97-89b3-40a9-a07a-b6bdd48ac177 · outbound

This paper cites Grok 2 by xai,.

Decoding Neighborhood Environments with Large Language Models Grok 2 by xai,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.250185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a0f6bdf9-6ee7-49f6-872d-46ffa4aef45c · outbound

This paper cites A review of urban physical environment sensing using street view imagery in public health studies,.

Decoding Neighborhood Environments with Large Language Models A review of urban physical environment sensing using street view imagery in public health studies,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:21.747941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c124962-5b3e-4d51-992b-3a303664eece · outbound

This paper cites Curb detection for road and sidewalk detection,.

Decoding Neighborhood Environments with Large Language Models Curb detection for road and sidewalk detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.228410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 46cdcb24-ad80-4809-86fe-45b6b6cb8a01 · outbound

This paper cites Health and the built environment in united states cities: measuring associations using google street view- derived indicators of the built environment,.

Decoding Neighborhood Environments with Large Language Models Health and the built environment in united states cities: measuring associations using google street view- derived indicators of the built environment,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.212924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b96987f9-2b04-4e3e-b387-2034858c7926 · outbound

This paper cites Google street view-derived neighborhood characteristics in california associated with coronary heart disease, hypertension, diabetes,.

Decoding Neighborhood Environments with Large Language Models Google street view-derived neighborhood characteristics in california associated with coronary heart disease, hypertension, diabetes,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.197219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 15c0d1ca-e370-4491-a2d0-ea40b1472e6e · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Decoding Neighborhood Environments with Large Language Models Learning transferable visual models from natural language supervision,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:21.766451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 434f3f84-1110-425c-8e33-6b404067e408 · outbound

This paper cites Qwen Technical Report.

Decoding Neighborhood Environments with Large Language Models Qwen Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:21.771082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebe5bd35-1f5e-4151-a06e-f2ca909b792b · outbound

This paper cites Qwen2.5-VL Technical Report.

Decoding Neighborhood Environments with Large Language Models Qwen2.5-VL Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:21.775837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0957561-f0a5-43fc-89dc-87faf964d178 · outbound

This paper cites LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions.

Decoding Neighborhood Environments with Large Language Models LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:21.780813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93333c6b-7cb8-441d-b6bf-f3a4b72ec1ae · outbound

This paper cites Decoding prompt syntax: Analysing its impact on knowledge retrieval in large language models,.

Decoding Neighborhood Environments with Large Language Models Decoding prompt syntax: Analysing its impact on knowledge retrieval in large language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.171119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4df3d2da-d16b-483e-b935-d1dfdd61e1de · outbound

This paper cites English prompts are better for nli- based zero-shot emotion classification than target-language prompts,.

Decoding Neighborhood Environments with Large Language Models English prompts are better for nli- based zero-shot emotion classification than target-language prompts,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.156187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 17409eba-8036-4d25-bece-f14d7b70bba0 · outbound

This paper cites Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning.

Decoding Neighborhood Environments with Large Language Models Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:21.794901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9cafad-bcd9-40de-a26c-54971b37ff52 · outbound

This paper cites Presence-only geographical priors for fine-grained image classification,.

Decoding Neighborhood Environments with Large Language Models Presence-only geographical priors for fine-grained image classification,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.142116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 48ebc1be-d3a9-42b9-960d-00734e468d6e · outbound

This paper cites Exploiting weakly supervised visual patterns to learn from partial annotations,.

Decoding Neighborhood Environments with Large Language Models Exploiting weakly supervised visual patterns to learn from partial annotations,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.126963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d0f92cc2-7b06-4d1d-8984-c042adc177be · outbound

This paper cites Learning a deep embedding model for zero-shot learning,.

Decoding Neighborhood Environments with Large Language Models Learning a deep embedding model for zero-shot learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.111274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation efc60cb5-360f-4e57-a29e-d38f5ad8bf46 · outbound

This paper cites Large language models are good prompt learners for low-shot image classification,.

Decoding Neighborhood Environments with Large Language Models Large language models are good prompt learners for low-shot image classification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.096022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e5ce501-1724-4c15-945f-ba5e5bb246b5 · outbound

This paper cites Labelme: a database and web-based tool for image annotation,.

Decoding Neighborhood Environments with Large Language Models Labelme: a database and web-based tool for image annotation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.080247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b579966e-d4a1-4401-840c-e314dda2d44c · outbound

This paper cites Exploring temperature effects on large language models across various clinical tasks,.

Decoding Neighborhood Environments with Large Language Models Exploring temperature effects on large language models across various clinical tasks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.064391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 98177b45-e410-4919-abc5-21f8e710b6ca · outbound

This paper cites The effect of sampling temperature on problem solving in large language models,.

Decoding Neighborhood Environments with Large Language Models The effect of sampling temperature on problem solving in large language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:06:22.047813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.