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Paper Citation Record · LEDGER

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2508.01639.

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

pith.paper-citation-record.v1
2508.01639 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:34:47.313337Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb6f8e63-020f-4c7e-a22d-d8402e084399 · outbound

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

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:34:47.251948Z digest=sha256:38346f37128707036b980541bb849db154373d62b36d458c437656c071634c1a

Observation ffb0b682-879f-41e1-ba13-2552e2519167 · outbound

This paper cites Pyramid scene parsing network,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Pyramid scene parsing network,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cfaa2b21-284a-417e-b48b-260b08b427c9 · outbound

This paper cites SegViT: Semantic Segmentation with Plain Vision Transformers.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 3

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no resolver link, observed 2026-08-06T05:34:47.258884Z

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Unavailable: canonical work link unavailable.

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Observation 280de7a1-347f-42b1-962a-77ccb94ca4ae · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Fully convolutional networks for semantic segmentation,

Reference 4

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raw_fallback, observed 2026-08-06T05:34:47.528313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:34:47.262373Z digest=sha256:12cd1a4e2738625589fb638babd616527fcd33a48eb5e8bb349c13e111cb2767

Observation 690ac944-8210-47aa-8d99-f56269b3bf94 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 5

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no resolver link, observed 2026-08-06T05:34:47.265613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6a96a83d-4d9d-4f11-ada7-c9efb4af7123 · outbound

This paper cites Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,

Reference 6

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raw_fallback, observed 2026-08-06T05:34:47.519095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a8bebb87-2fb2-462c-8e2b-9ac4de9254c4 · outbound

This paper cites Glass segmentation with rgb-thermal image pairs,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Glass segmentation with rgb-thermal image pairs,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2a7a48c2-f35f-4fca-9adb-bd30f95b3193 · outbound

This paper cites Glass segmentation using intensity and spectral polarization cues,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Glass segmentation using intensity and spectral polarization cues,

Reference 8

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raw_fallback, observed 2026-08-06T05:34:47.499077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 62b8310f-4f10-4b0a-886a-9e4cfbfac877 · outbound

This paper cites Glass object localization by joint inference of boundary and depth,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Glass object localization by joint inference of boundary and depth,

Reference 9

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raw_fallback, observed 2026-08-06T05:34:47.489063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:34:47.278118Z digest=sha256:97e82940df8569d683a5e4b354559e49c6342c7c832cef0795785502c033a27f

Observation 4f147f01-3a52-4c51-bf3d-2d8f9e3f2205 · outbound

This paper cites Glass detection and recognition based on the fusion of ultrasonic sensor and rgb-d sensor for the visually impaired,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Glass detection and recognition based on the fusion of ultrasonic sensor and rgb-d sensor for the visually impaired,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 28327ae7-524f-4c33-8ebe-c5f42530bd4f · outbound

This paper cites Glass detection in simultaneous localization and mapping of mobile robot based on rgb-d camera,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Glass detection in simultaneous localization and mapping of mobile robot based on rgb-d camera,

Reference 11

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raw_fallback, observed 2026-08-06T05:34:47.470325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cd344c58-a298-4499-a946-cd85dbe15309 · outbound

This paper cites Mffnet: Multimodal feature fusion network for rgb-d transparent object detection,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Mffnet: Multimodal feature fusion network for rgb-d transparent object detection,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation be7168db-beaa-4a26-9b72-82146fbc8783 · outbound

This paper cites Leveraging rgb-d data with cross-modal context mining for glass surface detection,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Leveraging rgb-d data with cross-modal context mining for glass surface detection,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 53ffff94-af91-4e52-a104-d633b3262f43 · outbound

This paper cites Deep residual learning for image recognition,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Deep residual learning for image recognition,

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:34:47.291788Z digest=sha256:35639c29c87d6297cc677998898c879bfa4050cf62fc106cc585d43fbb9b3003

Observation 6a26f489-91a3-4ff1-84b7-2946e73dfe5f · outbound

This paper cites Depth-aware mirror segmentation,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Depth-aware mirror segmentation,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a2176182-f5b4-4f7a-a221-1b34044d434a · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Matterport3d: Learning from rgb-d data in indoor environments,

Reference 16

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raw_fallback, observed 2026-08-06T05:34:47.415618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8b00cc59-9cf9-466d-ba5f-2c3456e1dce6 · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Sun rgb-d: A rgb-d scene understanding benchmark suite,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e970ff4d-a5dc-4f55-b178-cbf270f10f3a · outbound

This paper cites Rethinking rgb-d salient object detection: Models, data sets, and large-scale benchmarks,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Rethinking rgb-d salient object detection: Models, data sets, and large-scale benchmarks,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 63a1c131-9a44-4498-b9fc-930c08cb6508 · outbound

This paper cites Joint 2D-3D-Semantic Data for Indoor Scene Understanding.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:34:47.307355Z digest=sha256:e9ded3095435bb720b495ba12eb888e2addea33fcb617e886b4313a42c1014e2

Observation a8e9d243-994b-45b5-a41b-d2bb19b2c1c7 · outbound

This paper cites Monocular depth estimation for glass walls with context: A new dataset and method,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Monocular depth estimation for glass walls with context: A new dataset and method,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 39576af6-ced8-4cea-a063-4f815dbee7f9 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation,.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Encoder-decoder with atrous separable convolution for semantic image segmentation,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0ac549c2-79e3-4bb8-aa4b-a37d3045ba9a · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 235357151.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots Available: https://api.semanticscholar.org/CorpusID: 235357151

Reference 2021

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raw_fallback, observed 2026-08-06T05:34:47.425092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:34:47.296994Z digest=sha256:dbdaaadcf2015742da6e21992a92dd027eb6b40b4ee317035f2a6a5f8787bd64

Pith citing papers

No inbound Pith citation observations are available.