Paper Citation Record · LEDGER

GeoFormer: A Multi-Polygon Segmentation Transformer

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2411.16616.

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

pith.paper-citation-record.v1
2411.16616 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:58:46.867667Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

45 of 45 outbound references displayed

verified exact6
verified fuzzy18
unresolved19
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c62ca23e-a206-4e5e-adeb-a625fc5c0d6d · outbound

This paper cites Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++.

GeoFormer: A Multi-Polygon Segmentation Transformer Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.606268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff171f1e-22a6-4f80-a166-0039f2c53e3e · outbound

This paper cites Alidoost, H.

GeoFormer: A Multi-Polygon Segmentation Transformer Alidoost, H

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:48.023769Z

Source-reported events for the cited work

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Observation cf40274e-e5bc-4d02-ad9a-d232d48b3aee · outbound

This paper cites A metric for polygon comparison and building extraction evaluation.

GeoFormer: A Multi-Polygon Segmentation Transformer A metric for polygon comparison and building extraction evaluation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.624592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c5502ee-f428-4652-acb8-4896ce3edd4e · outbound

This paper cites Layer Normalization.

GeoFormer: A Multi-Polygon Segmentation Transformer Layer Normalization

Reference 4

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Source-reported events for the cited work

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Observation 6337ae67-47ba-4cff-bd6d-0836f3fe7b8c · outbound

This paper cites Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks.

GeoFormer: A Multi-Polygon Segmentation Transformer Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:48.005258Z

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Observation b8e1eca0-a39d-4a03-abaf-b3d8791d10fe · outbound

This paper cites Heat: Holistic edge attention transformer for structured reconstruction.

GeoFormer: A Multi-Polygon Segmentation Transformer Heat: Holistic edge attention transformer for structured reconstruction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.987287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dce4c984-71c0-4526-9ac4-d95d7591741c · outbound

This paper cites A unified sequence interface for vision tasks.

GeoFormer: A Multi-Polygon Segmentation Transformer A unified sequence interface for vision tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.655670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddae5dd1-7d39-41bc-a14c-5994bcabc73b · outbound

This paper cites Boundary iou: Improving object-centric image segmentation evaluation.

GeoFormer: A Multi-Polygon Segmentation Transformer Boundary iou: Improving object-centric image segmentation evaluation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.954936Z

Source-reported events for the cited work

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Observation 9043fab0-bb23-4ccf-b9e7-b7ac81cf5340 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

GeoFormer: A Multi-Polygon Segmentation Transformer An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.665767Z

Source-reported events for the cited work

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Observation bc4a6ef6-151c-4051-a050-ebaaafeaeeab · outbound

This paper cites Polygonal Building Segmentation by Frame Field Learning.

GeoFormer: A Multi-Polygon Segmentation Transformer Polygonal Building Segmentation by Frame Field Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:58:47.269254Z

Source-reported events for the cited work

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Observation ae1ca5c2-2d9f-45b0-8c71-c1a193aa7141 · outbound

This paper cites Polygonal building extraction by frame field learning.

GeoFormer: A Multi-Polygon Segmentation Transformer Polygonal building extraction by frame field learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.935082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 575c0036-7a7e-429e-8866-8fad1d1910a4 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

GeoFormer: A Multi-Polygon Segmentation Transformer Gaussian Error Linear Units (GELUs)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.683511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83367cb-82d4-4a69-bdd3-8f365c2593b8 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

GeoFormer: A Multi-Polygon Segmentation Transformer The Curious Case of Neural Text Degeneration

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de1b3d1-6a2e-4bcd-bbb2-8924a98ce234 · outbound

This paper cites PolyBuilding: Polygon Transformer for End-to-End Building Extraction.

GeoFormer: A Multi-Polygon Segmentation Transformer PolyBuilding: Polygon Transformer for End-to-End Building Extraction

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:58:47.206614Z

Source-reported events for the cited work

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Observation 554b5bee-4cfc-4806-8f40-77aadea20e08 · outbound

This paper cites Polygonizer: An auto-regressive building delineator.

GeoFormer: A Multi-Polygon Segmentation Transformer Polygonizer: An auto-regressive building delineator

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:58:47.177943Z

Source-reported events for the cited work

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Observation 53935c83-f3b6-4e62-82ca-948162eea531 · outbound

This paper cites Learning to generate 3d representations of building roofs using single-view aerial imagery.

GeoFormer: A Multi-Polygon Segmentation Transformer Learning to generate 3d representations of building roofs using single-view aerial imagery

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.916363Z

Source-reported events for the cited work

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Observation 9e926ecd-dd4e-411a-9d97-d4eebffada61 · outbound

This paper cites Joint semantic- geometric learning for polygonal building segmentation.

GeoFormer: A Multi-Polygon Segmentation Transformer Joint semantic- geometric learning for polygonal building segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.898085Z

Source-reported events for the cited work

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Observation 13d6143e-b099-44aa-aaf3-277030040f74 · outbound

This paper cites Joint semantic–geometric learning for polygonal building segmentation from high-resolution remote sensing images.

GeoFormer: A Multi-Polygon Segmentation Transformer Joint semantic–geometric learning for polygonal building segmentation from high-resolution remote sensing images

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.879799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c2e34fc-4f14-4935-be9b-93bdeba69439 · outbound

This paper cites Topological map extraction from overhead images.

GeoFormer: A Multi-Polygon Segmentation Transformer Topological map extraction from overhead images

Reference 19

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Source-reported events for the cited work

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Observation 30ed3d83-2a87-42ce-8183-e96e56f23943 · outbound

This paper cites Microsoft coco: Common objects in context.

GeoFormer: A Multi-Polygon Segmentation Transformer Microsoft coco: Common objects in context

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.861441Z

Source-reported events for the cited work

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Observation 34be0361-df43-475d-9626-0ad56bd708a3 · outbound

This paper cites Feature pyramid networks for object detection.

GeoFormer: A Multi-Polygon Segmentation Transformer Feature pyramid networks for object detection

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.744463Z

Source-reported events for the cited work

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Observation f7a0d06d-3e52-494c-90de-47fbebcd96e3 · outbound

This paper cites Polyformer: Referring image segmentation as sequential polygon generation.

GeoFormer: A Multi-Polygon Segmentation Transformer Polyformer: Referring image segmentation as sequential polygon generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.830138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22517aef-bde6-4d00-9db0-df02821cc403 · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution.

GeoFormer: A Multi-Polygon Segmentation Transformer Swin transformer v2: Scaling up capacity and resolution

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.759838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2529ca4d-04c5-43c8-9dea-6d15cb01a773 · outbound

This paper cites Learning deep structured active contours end-to-end.

GeoFormer: A Multi-Polygon Segmentation Transformer Learning deep structured active contours end-to-end

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.794379Z

Source-reported events for the cited work

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Observation 5d1db15d-fc5b-4183-90f5-7287197dee56 · outbound

This paper cites Deep learning for understanding satellite imagery: An experimental survey.

GeoFormer: A Multi-Polygon Segmentation Transformer Deep learning for understanding satellite imagery: An experimental survey

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.773041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation de9fc198-a9a3-4df8-8575-4b5aedb5267e · outbound

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GeoFormer: A Multi-Polygon Segmentation Transformer Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:58:47.753342Z

Source-reported events for the cited work

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Observation 3be9fe4a-62c6-4ba2-932e-e536bf9f5262 · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

GeoFormer: A Multi-Polygon Segmentation Transformer Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.783412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eefd978-ef83-4440-81d6-91a84be206f5 · outbound

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

GeoFormer: A Multi-Polygon Segmentation Transformer U-net: Convolutional networks for biomedical image segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.734541Z

Source-reported events for the cited work

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Observation a6fcbb09-193b-489b-b902-ea4310c1207c · outbound

This paper cites PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

GeoFormer: A Multi-Polygon Segmentation Transformer PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.794700Z

Source-reported events for the cited work

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Observation cdb10ea0-ee46-41e8-8d2b-d3ea6f82f318 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

GeoFormer: A Multi-Polygon Segmentation Transformer RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.800095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c36c56-5fd5-490e-824d-9dfa06e3dc8c · outbound

This paper cites Annotating object instances with a polygon-RNN Castrejón et al.

GeoFormer: A Multi-Polygon Segmentation Transformer Annotating object instances with a polygon-RNN Castrejón et al

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.714847Z

Source-reported events for the cited work

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Observation cd2ab73a-5112-48ef-bb51-b1ab14eb9f60 · outbound

This paper cites Attention is all you need.

GeoFormer: A Multi-Polygon Segmentation Transformer Attention is all you need

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.811163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0c1b5f-54f3-432d-b520-d8053a6236ed · outbound

This paper cites Show and tell: A neural image caption generator.

GeoFormer: A Multi-Polygon Segmentation Transformer Show and tell: A neural image caption generator

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.815979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42a379c8-874d-4a29-ab42-4aeecb524720 · outbound

This paper cites Hisup: Accurate polygonal mapping of buildings in satellite imagery with hierarchical supervision.

GeoFormer: A Multi-Polygon Segmentation Transformer Hisup: Accurate polygonal mapping of buildings in satellite imagery with hierarchical supervision

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.672004Z

Source-reported events for the cited work

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Observation d9238b2e-d0cc-47ca-976e-bb64ed13af13 · outbound

This paper cites Show, attend and tell: Neural image caption generation with visual attention.

GeoFormer: A Multi-Polygon Segmentation Transformer Show, attend and tell: Neural image caption generation with visual attention

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.654220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67b1263b-ed46-40d1-a633-a138aa4ba8c6 · outbound

This paper cites Ferret: Refer and ground anything anywhere at any granularity, 2023.

GeoFormer: A Multi-Polygon Segmentation Transformer Ferret: Refer and ground anything anywhere at any granularity, 2023

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.830647Z

Source-reported events for the cited work

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Observation ce911381-5e7c-4d75-a4fa-35083f294e63 · outbound

This paper cites HiT: Building Mapping with Hierarchical Transformers.

GeoFormer: A Multi-Polygon Segmentation Transformer HiT: Building Mapping with Hierarchical Transformers

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:58:46.984046Z

Source-reported events for the cited work

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Observation 398c10f0-5476-407c-9f33-0470a35f597a · outbound

This paper cites Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework.

GeoFormer: A Multi-Polygon Segmentation Transformer Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.621395Z

Source-reported events for the cited work

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Observation 502ead41-66a1-4aa4-8462-34e1d120c861 · outbound

This paper cites Random erasing data augmentation.

GeoFormer: A Multi-Polygon Segmentation Transformer Random erasing data augmentation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.846322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c1f971-a615-4048-9b6d-a511ea561f7c · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

GeoFormer: A Multi-Polygon Segmentation Transformer Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.851202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31b6d60f-fa12-4cde-a391-74bfd3bfc0fc · outbound

This paper cites Machine-learned Regularization and Polygonization of Building Segmentation Masks.

GeoFormer: A Multi-Polygon Segmentation Transformer Machine-learned Regularization and Polygonization of Building Segmentation Masks

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:58:46.938199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 688dcdff-4379-43a9-bb2c-716bfd70f7c5 · outbound

This paper cites Poly- world: Polygonal building extraction with graph neural networks in satellite images.

GeoFormer: A Multi-Polygon Segmentation Transformer Poly- world: Polygonal building extraction with graph neural networks in satellite images

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:58:47.591954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c2861145-f2b1-4f87-b019-e8945d5d12e3 · outbound

This paper cites Generalized decoding for pixel, image, and language.

GeoFormer: A Multi-Polygon Segmentation Transformer Generalized decoding for pixel, image, and language

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:46.867667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46a0bb0f-9879-466e-9f74-eda5750f7139 · outbound

This paper cites doi: 10.1109/JSTARS.2018.2849363.

GeoFormer: A Multi-Polygon Segmentation Transformer doi: 10.1109/JSTARS.2018.2849363

Reference 2018

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:58:47.371437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b8163f0c-8247-4fbe-a9bd-83abfe0d9ead · outbound

This paper cites doi: 10.5194/isprs-archives-XLII-4-W18-57-2019.

GeoFormer: A Multi-Polygon Segmentation Transformer doi: 10.5194/isprs-archives-XLII-4-W18-57-2019

Reference 2019

Resolution: verified exact; doi, observed 2026-08-12T12:58:46.910336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.