Paper Citation Record · LEDGER

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2501.01710.

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

pith.paper-citation-record.v1
2501.01710 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:26:58.448731Z

measured 41 of 41 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:29:14.792526Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T08:21:06.722461Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 109d772d-036f-42a2-9200-c6368ef991c1 · outbound

This paper cites Semi-supervised active learning for semantic segmentation in unknown environments using informative path planning,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Semi-supervised active learning for semantic segmentation in unknown environments using informative path planning,

Reference 1

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Source-reported events for the cited work

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Observation 481e2cba-a561-42a5-88ff-af78a69b2a9b · outbound

This paper cites Lightweight semantic segmentation network for semantic scene understanding on low-compute devices,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Lightweight semantic segmentation network for semantic scene understanding on low-compute devices,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:58.295283Z

Source-reported events for the cited work

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Observation 5a208887-b04a-4cda-b642-fb703d68dbb8 · outbound

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

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Ida: Informed domain adaptive semantic segmentation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:58.877426Z

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Observation bb78fffc-666a-4571-95d4-39132aec2028 · outbound

This paper cites Featdanet: Feature-level domain adaptation network for semantic segmentation,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Featdanet: Feature-level domain adaptation network for semantic segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:58.865005Z

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Observation a855e29f-7d34-41e1-af88-227535688480 · outbound

This paper cites Fe- drc: A rapid-converged hierarchical federated learning framework in street scene semantic understanding,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Fe- drc: A rapid-converged hierarchical federated learning framework in street scene semantic understanding,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:58.852474Z

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Observation 247dac68-0a1f-41cf-b1c6-df77840a9d17 · outbound

This paper cites Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving

Reference 6

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Observation c3dbaffe-e799-4d92-9baf-457acf9f2958 · outbound

This paper cites Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions

Reference 7

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Observation 58bf7bec-aeff-4080-829e-0b8737395195 · outbound

This paper cites Wedge: Web-image assisted domain generalization for semantic segmentation,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Wedge: Web-image assisted domain generalization for semantic segmentation,

Reference 8

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Observation 263d3c1b-2289-492d-a5f8-85ee075fc614 · outbound

This paper cites Striking the right balance: Recall loss for semantic segmentation,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Striking the right balance: Recall loss for semantic segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:58.826885Z

Source-reported events for the cited work

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Observation 98553ba4-41a4-44d3-8066-bbb7c02e896a · outbound

This paper cites Prompt, plan, perform: Llm-based humanoid control via quantized imitation learning,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Prompt, plan, perform: Llm-based humanoid control via quantized imitation learning,

Reference 10

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Observation 0a7dd38a-4cec-4cf6-86ad-eacb03f6c6bf · outbound

This paper cites Prompting multi-modal tokens to enhance end-to-end autonomous driving imitation learning with llms,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Prompting multi-modal tokens to enhance end-to-end autonomous driving imitation learning with llms,

Reference 11

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Observation 79e30c00-7603-4392-9cfa-257d2236d33b · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 12

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Observation 1e493e1c-9c7f-422d-8a51-fc677ae2741e · outbound

This paper cites Training language models to follow instructions with human feedback,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Training language models to follow instructions with human feedback,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:58.796612Z

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Observation 9e32b621-0280-4303-a90d-df664ff95a2e · outbound

This paper cites Structgpt: A general framework for large language model to reason over structured data,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Structgpt: A general framework for large language model to reason over structured data,

Reference 14

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Observation d4ebb539-bf8f-4526-8487-c0ab015bc060 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Chain-of-thought prompting elicits reasoning in large language models,

Reference 15

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Observation 902e7048-6a63-4d95-8ea1-275a8c9b7a27 · outbound

This paper cites Visual language maps for robot navigation,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Visual language maps for robot navigation,

Reference 16

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Observation 53a7be17-fde3-45dd-a8e9-e71d469c8f97 · outbound

This paper cites Class semantics modulation for open-set instance segmentation,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Class semantics modulation for open-set instance segmentation,

Reference 17

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Observation 545b2101-7feb-4abc-ba1b-77fa63d01b83 · outbound

This paper cites Unseen object few-shot semantic segmentation for robotic grasping,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Unseen object few-shot semantic segmentation for robotic grasping,

Reference 18

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Observation c56161a5-6ae1-40bd-a4df-e2a32e2815d6 · outbound

This paper cites Cekd: Cross-modal edge-privileged knowledge distillation for semantic scene understanding using only thermal images,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Cekd: Cross-modal edge-privileged knowledge distillation for semantic scene understanding using only thermal images,

Reference 19

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Observation 50511e1e-15fe-43d4-abbb-e11dfa75efc3 · outbound

This paper cites Navya3dseg - navya 3d semantic segmentation dataset design & split generation for autonomous vehicles,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Navya3dseg - navya 3d semantic segmentation dataset design & split generation for autonomous vehicles,

Reference 20

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Observation fcffa124-4c75-446b-9def-ee118ec40d26 · outbound

This paper cites Fdlnet: Boosting real- time semantic segmentation by image-size convolution via frequency domain learning,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Fdlnet: Boosting real- time semantic segmentation by image-size convolution via frequency domain learning,

Reference 21

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Observation 8987fb9b-f905-4381-b1aa-1d121be80d0a · outbound

This paper cites Decoupling features in hierarchical propagation for video object segmentation,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Decoupling features in hierarchical propagation for video object segmentation,

Reference 22

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Observation e26758ee-e987-42d5-9a69-7d698d4550c5 · outbound

This paper cites Rethinking semantic segmentation: A prototype view,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Rethinking semantic segmentation: A prototype view,

Reference 23

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Observation 3fbf09e4-ad54-427d-a9c1-70f546b11ce1 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmen- tation with transformers,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Segformer: Simple and efficient design for semantic segmen- tation with transformers,

Reference 24

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Observation cd95c774-2425-4dd3-bef2-927c5204da76 · outbound

This paper cites Understanding bird’s-eye view of road semantics using an onboard camera,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Understanding bird’s-eye view of road semantics using an onboard camera,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:58.663751Z

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Observation 027692e6-f67f-4313-9788-f2129e71df08 · outbound

This paper cites Feddrive: Generalizing federated learning to semantic segmentation in autonomous driving,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Feddrive: Generalizing federated learning to semantic segmentation in autonomous driving,

Reference 26

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Observation 1368985d-7ea7-4f39-8086-a07c079ff641 · outbound

This paper cites Communication resources constrained hierarchical feder- ated learning for end-to-end autonomous driving,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Communication resources constrained hierarchical feder- ated learning for end-to-end autonomous driving,

Reference 27

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Observation 3870d2bc-aeb3-473a-b746-6c69c067c138 · outbound

This paper cites Generative pretraining from pixels,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Generative pretraining from pixels,

Reference 28

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

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 29

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Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Communication-efficient activity detection for cell-free massive mimo: An augmented model-driven end-to-end learning framework,

Reference 30

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This paper cites Communication- efficient joint signal compression and activity detection in cell-free massive mimo,.

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Communication- efficient joint signal compression and activity detection in cell-free massive mimo,

Reference 31

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

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory The cityscapes dataset for semantic urban scene understanding,

Reference 32

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Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Segmentation and recognition using structure from motion point clouds,

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Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Unresolved cited work

Reference 34

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Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory The apolloscape open dataset for autonomous driving and its application,

Reference 35

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Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Carla: An open urban driving simulator,

Reference 36

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Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation,

Reference 37

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Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Segnet: A deep convolutional encoder-decoder architecture for image segmentation,

Reference 38

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Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory Encoder-decoder with atrous separable convolution for semantic image segmentation,

Reference 39

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Pith citing papers

Observation ecf2b56e-24da-421a-b0c4-f4744d7dfd36 · inbound

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator cites this paper.

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory

Reference 7

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Observation 7b02b895-5387-41d6-8e7f-62439c31c146 · inbound

Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy cites this paper.

Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory

Reference 26

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Source-reported events for the cited work

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