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Paper Citation Record · LEDGER

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1909.00532.

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

pith.paper-citation-record.v1
1909.00532 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:54:35.281391Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

31 of 31 outbound references displayed

  • verified exact5
  • verified fuzzy20
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22c86618-59aa-47f3-9a1c-5d06a9c6df2e · outbound

This paper cites Unifying terrain awareness through real-time semantic segmentation,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Unifying terrain awareness through real-time semantic segmentation,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.630440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 01d86332-0f1a-4a8f-9ce8-eff86a8aa8e4 · outbound

This paper cites Unifying terrain awareness for the visually impaired through real-time semantic segmentation,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Unifying terrain awareness for the visually impaired through real-time semantic segmentation,

Reference 2

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unresolved
no resolver link, observed 2026-08-14T05:54:35.179049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:54:35.179049Z digest=sha256:805e2dae3c57c5b24a317ada1bda1e9d5a21c6a0d07184daad94dc674d3fc5a4

Observation 58231f95-0b4f-4ea9-a890-9f9b339e2dc8 · outbound

This paper cites Can we pass beyond the field of view? panoramic annular semantic segmentation for real-world surrounding perception,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Can we pass beyond the field of view? panoramic annular semantic segmentation for real-world surrounding perception,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.613855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2b284fb2-1880-406f-9d2a-dcae83446cc3 · outbound

This paper cites Robustifying semantic cognition of traversability across wearable rgb-depth cameras,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Robustifying semantic cognition of traversability across wearable rgb-depth cameras,

Reference 4

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unresolved
no resolver link, observed 2026-08-14T05:54:35.186493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:54:35.186493Z digest=sha256:7a5e8bef12ac781c9bf360fc785411cb32db4d0af344026b80170201b2138121

Observation b839f33b-ff11-4445-93cf-2088a2d58fdc · outbound

This paper cites The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.597542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0421aa73-4c6a-4bbf-ad58-1e725faec6af · outbound

This paper cites Icnet for real-time semantic segmentation on high-resolution images,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Icnet for real-time semantic segmentation on high-resolution images,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T05:54:35.193968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5a67afc6-01fe-4efc-a842-97f7f794d80e · outbound

This paper cites Omnidirectional multisensory perception fusion for long-term place recognition,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Omnidirectional multisensory perception fusion for long-term place recognition,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.581962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:54:35.197909Z digest=sha256:36170aea7988799e2c15753d37d45aeaf8e5cf5fe47b5091f98a4dab485fb300

Observation a4a46145-961e-4591-888e-bba19b9bdc61 · outbound

This paper cites Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors

Reference 8

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unresolved
no resolver link, observed 2026-08-14T05:54:35.201267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:54:35.201267Z digest=sha256:73a81ce439c4a3a622e54a55c97f0da597320ba43759e2970cdefaceb1ea4704

Observation 7f0ce546-75ce-400c-aebb-6dca4ae83772 · outbound

This paper cites Palvo: visual odometry based on panoramic annular lens,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Palvo: visual odometry based on panoramic annular lens,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.571912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:54:35.205245Z digest=sha256:4e36de352ade1725f0ac8313e282e5ba18419dc1d0394e76426057cc45167e40

Observation 1d188c01-2130-4414-a9b7-3546e53a31d0 · outbound

This paper cites Im2pano3d: Extrapolating 360 structure and semantics beyond the field of view,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Im2pano3d: Extrapolating 360 structure and semantics beyond the field of view,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.562315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6ceca57d-c206-483c-a16c-d42b00fb798c · outbound

This paper cites Eliminating the blind spot: Adapting 3d object detection and monocular depth estimation to 360 panoramic imagery,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Eliminating the blind spot: Adapting 3d object detection and monocular depth estimation to 360 panoramic imagery,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.552439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:54:35.211573Z digest=sha256:19e2ae48817270118bab0560adce0ff0be16d087f52e5fd97d0538d2c2ccf684

Observation c130b600-ed7b-4359-b47b-9ec017838ed4 · outbound

This paper cites Distortion-aware convolutional filters for dense prediction in panoramic images,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Distortion-aware convolutional filters for dense prediction in panoramic images,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.542139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:54:35.214886Z digest=sha256:5c4e04f8a658199cb9c936da9749f6c34c92d1d190a8423ece17c846525aba24

Observation fe5c9787-b814-4f40-bc16-cd0bcce0310f · outbound

This paper cites Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:54:35.396484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6cba0010-21ed-445f-b066-74669c0d1ea3 · outbound

This paper cites Cnn based semantic segmentation for urban traffic scenes using fisheye camera,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Cnn based semantic segmentation for urban traffic scenes using fisheye camera,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.532046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a0f946f1-8475-436a-a03c-02363d4b35a2 · outbound

This paper cites Pyramid scene parsing network,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Pyramid scene parsing network,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.521085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1b6ce429-3e74-4944-93ce-b06bd2ea12e7 · outbound

This paper cites Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:54:35.380994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0c5ca4af-47a8-4d35-b332-a18a764493af · outbound

This paper cites Adapting semantic segmentation models for changes in illumination and camera perspective,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Adapting semantic segmentation models for changes in illumination and camera perspective,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.510017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0e334776-5d4d-462a-909e-ca3c4a965a59 · outbound

This paper cites Super-sensor for 360-degree environment perception: Point cloud segmentation using image features,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Super-sensor for 360-degree environment perception: Point cloud segmentation using image features,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.499994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 56a1904f-65e3-45d0-8120-4b949d8ce63e · outbound

This paper cites Understanding 3d semantic structure around the vehicle with monocular cameras,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Understanding 3d semantic structure around the vehicle with monocular cameras,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.489454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 66d5a4d6-6880-43cf-83ce-0c0984eaaa9f · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset The cityscapes dataset for semantic urban scene understanding,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.479631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0ab9e170-b8eb-4ccc-b2d2-b3e897b2b6e5 · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset The mapillary vistas dataset for semantic understanding of street scenes,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.469533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 62a598da-b105-4005-8da6-9b7328a62983 · outbound

This paper cites Orientation-aware Semantic Segmentation on Icosahedron Spheres.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Orientation-aware Semantic Segmentation on Icosahedron Spheres

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:54:35.367157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bbed95e5-458b-416a-a70c-52a74008c784 · outbound

This paper cites Train here, deploy there: Robust segmentation in unseen domains,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Train here, deploy there: Robust segmentation in unseen domains,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.458553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c29b022c-718d-4494-99da-a6255031a3ff · outbound

This paper cites Bridging the day and night domain gap for semantic segmentation,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Bridging the day and night domain gap for semantic segmentation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.448507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:54:35.257143Z digest=sha256:9e23a62a0a312e2ec8cea31e49aa7c94b4a67c1a34e222af5ed3f1a7be84f44f

Observation f91bc774-1678-4155-81fb-943782f9c851 · outbound

This paper cites ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T05:54:35.260397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:54:35.260397Z digest=sha256:8648182ab9f89fd16653158adfc0346f9624a59efa15692f08c6d8fb3f8d935f

Observation 2c4988f4-a73a-445f-ae95-96695c6416c2 · outbound

This paper cites Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:54:35.344879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3b7d6e28-ce44-4eed-9002-53e0bd6b45f3 · outbound

This paper cites A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:54:35.330181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:54:35.267784Z digest=sha256:9d93afb0417f72eb0de321c48a82ac280c52011075dac3298c20b7eeea5bb4e6

Observation 8b7bcceb-4937-44d8-a256-55340d1f417b · outbound

This paper cites Creating full view panoramic image mosaics and environment maps,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Creating full view panoramic image mosaics and environment maps,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.438195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5e294a67-4132-4c54-bad7-41b050d2c890 · outbound

This paper cites Image alignment and stitching: A tutorial,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Image alignment and stitching: A tutorial,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.427709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 31a66265-504c-427d-a86b-70c016ea8dd9 · outbound

This paper cites Orb: An efficient alternative to sift or surf.,.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Orb: An efficient alternative to sift or surf.,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:54:35.417324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:54:35.278031Z digest=sha256:281fb3e9ef634c782ae68f2ab8b099f163cfdba21dd376cb683bed2a0971b0bb

Observation b5670368-214c-4c28-af1f-331092c8fada · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Semantic Segmentation of Panoramic Images Using a Synthetic Dataset Adam: A Method for Stochastic Optimization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T05:54:35.281391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.