Paper Citation Record · LEDGER

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.17957.

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

pith.paper-citation-record.v1
2507.17957 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:44:28.404327Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy27
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54271a0b-6ec4-4e2e-8bd9-c115ed7abf3f · outbound

This paper cites Learning to adapt structured output space for semantic segmentation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Learning to adapt structured output space for semantic segmentation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.644719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a50c16ca-94d1-42c6-8cd9-f21c7707b054 · outbound

This paper cites Dlow: Domain flow and applications,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Dlow: Domain flow and applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.637519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 167063fc-4a02-4252-8c4b-ce848887f264 · outbound

This paper cites Daformer: Improving network architectures and training strategies for domain-adaptive semantic seg- mentation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Daformer: Improving network architectures and training strategies for domain-adaptive semantic seg- mentation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.630218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51da81e8-820b-4b9e-9d02-896164cc3209 · outbound

This paper cites Ida: Informed domain adaptive semantic segmentation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Ida: Informed domain adaptive semantic segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.623046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50ac4552-5c5e-458c-ada6-72b6f6cbbcf7 · outbound

This paper cites Hrda: Context-aware high- resolution domain-adaptive semantic segmentation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Hrda: Context-aware high- resolution domain-adaptive semantic segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.616187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bef15e9c-4258-4313-be94-3215fe6f3bcd · outbound

This paper cites Playing for data: Ground truth from computer games,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Playing for data: Ground truth from computer games,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.608954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ccc7fc35-4c72-4234-8ec4-54ec52f84570 · outbound

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

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation The cityscapes dataset for semantic urban scene understanding,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.601555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4507ba6a-858a-41f6-bddc-7c3cd69d30e9 · outbound

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

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.594446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23db50e8-6734-41f1-afa5-68254ee12fc4 · outbound

This paper cites A rugd dataset for autonomous navigation and visual perception in unstructured outdoor environments,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation A rugd dataset for autonomous navigation and visual perception in unstructured outdoor environments,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.587002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ff5f70e8-f35d-4624-a746-ac48d11cbb6e · outbound

This paper cites Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.579579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 94b1e150-74fd-4c11-80c0-749d256e3804 · outbound

This paper cites Sliced wasserstein discrepancy for unsupervised domain adaptation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Sliced wasserstein discrepancy for unsupervised domain adaptation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.571957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f94e9c8-bb45-4f98-885d-0fda6cd08d9d · outbound

This paper cites Mic: Masked image consistency for context-enhanced domain adaptation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Mic: Masked image consistency for context-enhanced domain adaptation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.564236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 21633f88-dc87-4ff3-aad1-a5b1c9166402 · outbound

This paper cites Pseudolabel guided pixels contrast for domain adaptive semantic segmentation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Pseudolabel guided pixels contrast for domain adaptive semantic segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.556310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ae238e4-62cc-482f-a40b-41c1a6e35660 · outbound

This paper cites Unsupervised domain adaptation for semantic segmentation with pseudo label self-refinement,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Unsupervised domain adaptation for semantic segmentation with pseudo label self-refinement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.548223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 74000e8f-9722-47ae-a26d-d20b9cd10dea · outbound

This paper cites Feature pyramid networks for object detection,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Feature pyramid networks for object detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.540454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a7b32381-bac3-4300-a35f-26a5230c803c · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.533060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cbd2d4e6-da2c-4889-a682-e40f07e07053 · outbound

This paper cites Deep high-resolution representation learning for visual recognition,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Deep high-resolution representation learning for visual recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.525362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2781f90c-2253-4d34-a938-7fdec5706012 · outbound

This paper cites Cbam: Convolutional block attention module,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Cbam: Convolutional block attention module,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.518016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47cf0b7b-c8f5-4456-ac7b-01d0ed9bf380 · outbound

This paper cites Squeeze-and-excitation networks,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Squeeze-and-excitation networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:44:28.378722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb1dc03-3e1d-4fe9-8e48-6d42d6b8d605 · outbound

This paper cites Gated-scnn: Gated shape cnns for semantic segmentation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Gated-scnn: Gated shape cnns for semantic segmentation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.505762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 892efaeb-a9b2-4afa-84c0-8a54e3045470 · outbound

This paper cites Rethinking bisenet for real-time semantic segmentation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Rethinking bisenet for real-time semantic segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.498741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5560f853-c8e8-40d8-a5e6-d1c7e6a1c75a · outbound

This paper cites Uncertainty-aware pseudo- label filtering for source-free unsupervised domain adaptation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Uncertainty-aware pseudo- label filtering for source-free unsupervised domain adaptation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.491563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7737b283-ecb6-46aa-89b1-60f4d8298adc · outbound

This paper cites Ga-nav: Efficient terrain segmentation for robot navigation in unstructured outdoor environments,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Ga-nav: Efficient terrain segmentation for robot navigation in unstructured outdoor environments,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.484141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cfeb5d99-1b34-4a2f-a690-1ee2eb19ce8b · outbound

This paper cites TNS: Terrain Traversability Mapping and Navigation System for Autonomous Excavators.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation TNS: Terrain Traversability Mapping and Navigation System for Autonomous Excavators

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:44:28.438722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb9fcc12-25a1-4292-92ed-3921eda5a4d0 · outbound

This paper cites SALON: Self-supervised Adaptive Learning for Off-road Navigation.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation SALON: Self-supervised Adaptive Learning for Off-road Navigation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:44:28.392601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e329aec-3d84-4b8c-883e-1d862efe1099 · outbound

This paper cites Classmix: Segmentation-based data augmentation for semi-supervised learning,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Classmix: Segmentation-based data augmentation for semi-supervised learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.476510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7c45281-2fd5-4202-8b4c-54abc41702c5 · outbound

This paper cites Povnav: A pareto-optimal mapless visual navigator,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Povnav: A pareto-optimal mapless visual navigator,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.468996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbadec3a-f53f-40f7-a8e7-7189579b3e2b · outbound

This paper cites Dacs: Domain adaptation via cross-domain mixed sampling,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Dacs: Domain adaptation via cross-domain mixed sampling,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.461639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f38c8873-a80f-4705-96f7-5cef24ec39f4 · outbound

This paper cites Prototypical pseudo label denoising and target structure learning for domain adaptive semantic segmentation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Prototypical pseudo label denoising and target structure learning for domain adaptive semantic segmentation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.454189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 264b577a-e2e4-4246-a92e-0eb7ea74c86f · outbound

This paper cites Extended receptive field uda semantic segmentation based on spatial alignment and knowledge distillation,.

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation Extended receptive field uda semantic segmentation based on spatial alignment and knowledge distillation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:28.446638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.