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Paper Citation Record · LEDGER

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:1907.03089.

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

pith.paper-citation-record.v1
1907.03089 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T01:53:06.124236Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

17 of 17 outbound references displayed

  • verified exact9
  • verified fuzzy8
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94a269d0-415e-4eb3-a5f5-15f4488059ff · outbound

This paper cites ImageNet Classification with Deep Convolutional Neural Networks.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images ImageNet Classification with Deep Convolutional Neural Networks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:56:33.654097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:8d0b384be130823ff099f7d02756baab1b04b8fb2e2c4a3c93a222a3a861382a

Observation 541a3554-02ba-4614-9d6f-af0c65a2db0f · outbound

This paper cites Microsoft COCO: Common Objects in Context.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Microsoft COCO: Common Objects in Context

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:55:11.902057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:997b05650a7e04fbf567eec7603b9a9e1a5e523d77b436e8cb1c48077514c710

Observation 8f894b87-79ed-43d9-8731-7e45bd4fdba1 · outbound

This paper cites The Pascal Visual Object Classes (VOC) Challenge.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images The Pascal Visual Object Classes (VOC) Challenge

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:56:33.662395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:4d758953a4148e034a1d3b2e89aa401173d990e3124e4001dd80f46af2bcaee8

Observation 4a2d58a7-b01d-49ca-b616-1684d5138447 · outbound

This paper cites Fully Convolutional Networks for Semantic Segmentation.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Fully Convolutional Networks for Semantic Segmentation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:56:33.658276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:142fd8ada9f4e494682d1e5626ee261163a0870dd4f0323a8d17127b4539d2ec

Observation 38838b8c-9160-4305-9d1a-b80843410077 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:55:11.907713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:1ab6518be89975710111c666cf0925ac66d802fc5c0c71f09a760aea96988ae3

Observation 0f58e6d7-1dc5-413f-b524-40534b547224 · outbound

This paper cites SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:55:11.919823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:893c7d40b46111c2fbd55c56650331d55d8381ee0e9b0ebc351c05b8abdd33a8

Observation 5d0de439-160c-4b4a-8b26-3b951c6df4c7 · outbound

This paper cites Learning Deconvolution Network for Semantic Segmentation.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Learning Deconvolution Network for Semantic Segmentation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:55:11.925743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:b66902c41ebf3c93f053aa1be35f84f640c3fc24b36f95b92ef84738d85e4574

Observation 08533c86-95c0-452f-8bc2-52b3d73b808f · outbound

This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:55:11.914246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:7cb1ed61535eae70d4e8312a804d8f297782f24b5b3d0d96b840dbb3e6534139

Observation 082ed904-b162-4c7c-b168-e93d7a24fd01 · outbound

This paper cites Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:55:11.931040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:427d6a4fc285fcabcaee40c26792a9063811b9e0c433e336f2cd20a4be188a9e

Observation 54689441-2da5-413a-9fcd-efac806ff6dd · outbound

This paper cites RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:55:11.937491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:a7ab9b2bc3e7288c856460522c4c5c95257a67fabdab8e294f0ae1b6a53a0f56

Observation 3a669539-9475-4721-9dd3-e80535147c67 · outbound

This paper cites Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:55:11.943040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:c26fa2acbd463bf73c017e68b8f58c9bc3a32814a739f6d528216fc8d379bd1d

Observation be473bd8-1d50-40ee-8df3-1c7d0bc83925 · outbound

This paper cites Dynamic Multicontext Segmentation of Remote Sensing Im- ages Based on Convolutional Networks.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Dynamic Multicontext Segmentation of Remote Sensing Im- ages Based on Convolutional Networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:56:33.638689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:077ed1f0af814f8a87fbda947f29342b695e8f44782738fd2d2da4df35952040

Observation d30cf240-4a6e-43d2-b58f-530833f7ad41 · outbound

This paper cites Adaptive Multiscale Deep Fusion Residual Network for Remote Sensing Image Classification.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Adaptive Multiscale Deep Fusion Residual Network for Remote Sensing Image Classification

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:56:33.646974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:f57254e34abfbbc056e8c77de47dc70b2b0b5321b2b36321bbf958057371d466

Observation 41f95e3b-b68c-416e-a680-a464a55411d2 · outbound

This paper cites A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:56:33.651189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:5f6163c933a5bcc9af7bece400f6ef94906cc5ba9f142ae91b8a28706c999fa2

Observation 1364a4b6-bb53-4058-9e57-b45deba8b0e6 · outbound

This paper cites Spatial Transformer Networks.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Spatial Transformer Networks

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:55:11.948454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:8fd2d199df363435254e3dffb95c0bbc1ea9bb889460a4369c36077246ba7e2d

Observation 69e0f98b-7e47-4da3-8433-61eea02b7d0b · outbound

This paper cites Learning Adaptive Receptive Fields for Deep Image Parsing Network.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Learning Adaptive Receptive Fields for Deep Image Parsing Network

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:56:33.643041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:8cdc11c2f4f4888827f04d29a28b16d9a6bd8c0a3ddcf5c6c0490ae422a15da7

Observation f7113b06-8663-407d-bc4a-df50b24cbd47 · outbound

This paper cites Scale-Adaptive Convolutions for Scene Parsing.

SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images Scale-Adaptive Convolutions for Scene Parsing

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:56:33.642665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:7a4c11d7bc2717b63af1efa66bfbaf4a03dca7755d489f7b25a6c416abb83003

Pith citing papers

No inbound Pith citation observations are available.