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Paper Citation Record · LEDGER

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2604.13028.

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

pith.paper-citation-record.v1
2604.13028 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:49:15.377492Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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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

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 3ae8b79d-2a0f-4d1f-a194-da1e1113b251 · outbound

This paper cites Anbazhagan and C.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Anbazhagan and C

Reference 1

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Observation 407489d9-ab92-4ca3-8330-b0eb119512fa · outbound

This paper cites Urban green space cooling effect in cities.Heliyon, 5(4):e01339.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Urban green space cooling effect in cities.Heliyon, 5(4):e01339

Reference 2

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Observation f2faf350-299b-4419-9969-ab772bc04e84 · outbound

This paper cites Balany, A.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Balany, A

Reference 3

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Observation f639ba05-c092-4f1c-82dd-f0fc7ad5a308 · outbound

This paper cites Markham, and Dennis L.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Markham, and Dennis L

Reference 4

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Observation 6c3b195f-43d0-4a5f-8480-9e640dca3535 · outbound

This paper cites Us building height.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Us building height

Reference 5

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a96a03ee-683b-4e76-8438-36cb8b01ab01 · outbound

This paper cites McCann, Marc L.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns McCann, Marc L

Reference 6

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Source-reported events for the cited work

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Observation 876ec4c8-0fb1-4bf6-b1eb-5594cc7da247 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f9d15abd-05ac-4a9e-b2df-68c0d69f7e03 · outbound

This paper cites Diffusion models beat GANs on image synthesis.Journal of Machine Learn- ing Research, 22(253):1–105.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Diffusion models beat GANs on image synthesis.Journal of Machine Learn- ing Research, 22(253):1–105

Reference 8

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Observation af06128c-52dc-4b80-8073-782c6d6f3ccc · outbound

This paper cites an unresolved cited work.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation b1583950-a4dc-4e5a-a67b-7ee9317e41ea · outbound

This paper cites ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 10

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Source-reported events for the cited work

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Observation 50ebba75-0c60-4ff1-ac03-4dbb4faae854 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Classifier-Free Diffusion Guidance

Reference 11

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Source-reported events for the cited work

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Observation 3c68b6cb-8004-4dfe-bbb9-ee0eb477ade1 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Denoising Diffusion Probabilistic Models

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9582adcd-5625-447a-a6db-077479274857 · outbound

This paper cites Weather Prediction with Diffusion Guided by Realistic Forecast Processes.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Weather Prediction with Diffusion Guided by Realistic Forecast Processes

Reference 13

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Observation bc6c84c1-d539-4e10-8002-e8541aa0e33d · outbound

This paper cites an unresolved cited work.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Unresolved cited work

Reference 14

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Observation 2e89af08-6a9b-44e0-a4a8-0332b01576dc · outbound

This paper cites an unresolved cited work.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Unresolved cited work

Reference 15

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Observation 64bb13d3-bedc-4a86-82e6-de93ccb9a6bb · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Elucidating the Design Space of Diffusion-Based Generative Models

Reference 16

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Observation 66d287b1-29e3-43a7-afaf-363a4c57d548 · outbound

This paper cites Lobell, and Ste- fano Ermon.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Lobell, and Ste- fano Ermon

Reference 17

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Observation a53d8e97-7af3-4b64-8789-05a939fd433f · outbound

This paper cites Krishnaswamy, M.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Krishnaswamy, M

Reference 18

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Observation 96e81f62-0b9e-484e-aa83-c17d0f6b9fbe · outbound

This paper cites Lindberg and C.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Lindberg and C

Reference 19

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Observation a95f24f9-4e86-40a8-92e5-f09f41f8d3eb · outbound

This paper cites Manago, Terri S.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Manago, Terri S

Reference 20

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Observation a86017c3-3280-4a34-b68d-1df9733d560a · outbound

This paper cites Night and day: The influence and relative importance of urban charac- teristics on remotely sensed land surface temperature.Re- mote Sensing of Environment, 247:111861.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Night and day: The influence and relative importance of urban charac- teristics on remotely sensed land surface temperature.Re- mote Sensing of Environment, 247:111861

Reference 21

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Observation 43317506-906c-4f0c-a4c4-2b3609aff2c9 · outbound

This paper cites Loveland and John L.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Loveland and John L

Reference 22

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Observation a8fa4f3f-aa28-4642-949a-5bdcb3a94d82 · outbound

This paper cites M5-brane Sources, Holography, and Argyres-Douglas Theories.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns M5-brane Sources, Holography, and Argyres-Douglas Theories

Reference 23

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Observation dde654b3-7408-434e-a8e8-a1942ea6df4f · outbound

This paper cites The influence of land-cover type on the relationship between ndvi–lst and lst-t air.International Journal of Remote Sens- ing, 39(5):1377–1398.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns The influence of land-cover type on the relationship between ndvi–lst and lst-t air.International Journal of Remote Sens- ing, 39(5):1377–1398

Reference 24

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Observation 0b56c486-fff2-47e2-8e22-61a691e506a6 · outbound

This paper cites Massaro, R.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Massaro, R

Reference 25

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 089922a8-a162-4d78-9c91-0cfdabc00ee3 · outbound

This paper cites Urban climates and climate change.Annual Review of Environment and Resources, 45(1):411–444.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Urban climates and climate change.Annual Review of Environment and Resources, 45(1):411–444

Reference 26

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Observation 75ced3ff-0362-405d-b320-2f3833e82a07 · outbound

This paper cites an unresolved cited work.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Unresolved cited work

Reference 27

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Observation 22b92d0d-00fc-4d12-b765-de3c8a8896e8 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 28

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 58ff5eec-ee10-43ab-9e8d-88174c53ec4e · outbound

This paper cites an unresolved cited work.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 11843d6c-203d-46e5-b24e-0c40c17403cb · outbound

This paper cites GenCast: Diffusion-based ensemble forecasting for medium-range weather.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns GenCast: Diffusion-based ensemble forecasting for medium-range weather

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c1978032-18e0-44d5-bc3c-0b7c37cc8bba · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns U-net: Convolutional networks for biomedical image segmentation

Reference 31

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Observation 222aa357-9833-4449-bbef-8d9c6c6fbbed · outbound

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Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Unresolved cited work

Reference 32

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Source-reported events for the cited work

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Observation 12330fa5-382c-40ea-a664-224303f160c5 · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Score-based generative modeling through stochastic differential equa- tions

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6343a0d1-40a6-419f-be04-d0ab2bc6ae45 · outbound

This paper cites an unresolved cited work.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-17T18:35:06.129795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 72a20c75-f178-4c3c-bf04-9356bd7f8f97 · outbound

This paper cites Suthar, N.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Suthar, N

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:35:06.119632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:49:15.377492Z digest=sha256:417fee960f10e40a83265cd50ac0bf7db774264d667198267c5bd14853aa73c6

Observation fd478eb6-1da1-417e-966a-051407f8e9c5 · outbound

This paper cites Touhami, H.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Touhami, H

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:35:06.106797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:49:15.377492Z digest=sha256:9dd3234b486fca2b07b89971039da25ae32d26e68008048b5769f2093c8f4530

Observation a3c90fa4-7ccf-4dcf-8976-baf006dce031 · outbound

This paper cites Census Bureau.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Census Bureau

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:35:06.109351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:49:15.377492Z digest=sha256:f450aa58382ebfbe4411f5d23134dd3b50efdddb68b56c58a8da7193081f96c8

Observation 71b63e86-4b2d-4a9b-84a5-1bc241aecc51 · outbound

This paper cites Varamesh, S.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Varamesh, S

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:35:06.111948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:49:15.377492Z digest=sha256:bc36409843dd3d5422ee5cd99e7efb97e40edc728283616c7ea164ca3f355b83

Observation eed31c95-c385-4eae-97af-523accac9cea · outbound

This paper cites an unresolved cited work.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-17T18:35:06.114540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:49:15.377492Z digest=sha256:6b786155de4f507b09bd7e6eeabb850312cec3e9a20ed7097efa513da349ccda

Observation 97906a4c-06bd-400d-bd12-7617927ea196 · outbound

This paper cites an unresolved cited work.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-17T18:35:06.117158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:49:15.377492Z digest=sha256:00a1d1dc7b3116785d23b420534925202f711aad6a0e43fbff9f3c2350f4d83e

Observation 2b44df68-3085-4ed2-b683-1f3c392044fc · outbound

This paper cites Probabilistic weather forecasting with de- terministic guidance-based diffusion model.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Probabilistic weather forecasting with de- terministic guidance-based diffusion model

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:35:06.104326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:49:15.377492Z digest=sha256:ad8f1874c2c7a8bc8bef464b079c6ee4fd2bbab47081715e92971c9e6863b29f

Observation cb10169b-4811-4d74-9eec-78a4e8ea03e9 · outbound

This paper cites Additional Dataset-Level Analysis We provide an additional dataset-level analysis to illustrate the one-to-many nature of the inverse problem.

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns Additional Dataset-Level Analysis We provide an additional dataset-level analysis to illustrate the one-to-many nature of the inverse problem

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T18:35:06.101650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:49:15.377492Z digest=sha256:94d15cee47a5a367c234c85d2220ee8ae5044df85a1520a845a704d6cf110177

Pith citing papers

No inbound Pith citation observations are available.