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Paper Citation Record · LEDGER

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

As of 5 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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:4597eeb9fd74be1bc055650b55c84b322caf05309b56dd47b7967687d5981cf9

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:073491d244560444f7785889117f553f90530e5ee589544702cab0f5e0f2e7ea

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:171badb19d290c1a7cb93d855bef7a9a91b4163b8a90313576fbb39dd8aa0f66

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:fe00cbcdaee8796cce96d14f027829acb745e74fe0e1353f1aab757f3a753f6b

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:1a942fb6aba04e822cf519faeb8462cbf7d9586e5cafd87baa8db77c9caba519

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:aed0098afaf7cbc3de4530b4b9b618841ba1faf873d748af5f5f9017258b9e20

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:415997e03146679befca35cb4e4f9f473878f25c04aa5930958524f2d805260a

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:d9b46dbadbade7452079ea6aebaf6b95b4ba1d6d47ca5f8c5ac2afb9a6266318

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:67f4a96bfb362242f55e0e990671ca584f923c610089af597c100fa9de4d3192

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:53564f43bcb477461c410d6c46c34a76d68d36db0b9f1cb4e24cafabaa1c57e9

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:9493059c3c1d9e14795f19efbb190d37ae69255ff691b9ebd7e281a234904693

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:882816fb8ac6f8779bdf8e76747f5f4bf5f8ded755789eb4c35618caa26034fb

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:cf9daee633a381597aa8256705b79d7ea942dbbb748e5740eb2fe182ad07cfc7

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:5d57d6d08ebff31be5cfe27902b577c1f4b9c35bd9de5cc59474616b90925ecb

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:d43f362a5bac1749b0769321f4918c5218ed0f136dd5ff35aceddbe663aec924

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:fd0e102cf3720dcac371e9825a54a3feb5f435c1c5ad274ab32edf69b14f9652

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T01:53:06.124236Z digest=sha256:79d3035b3639e68bf95361f3714fca2ab23cbaef5672575b7397dc1546143234

Pith citing papers

No inbound Pith citation observations are available.