Paper Citation Record · LEDGER

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2605.27128.

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

pith.paper-citation-record.v1
2605.27128 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:03:44.395627Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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 exact3
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 755247c9-e97f-47c0-890e-84ca3dacd045 · outbound

This paper cites Fully Convolutional Networks for Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Fully Convolutional Networks for Semantic Segmentation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e46f1c-4ee5-4b43-ad2f-c10cc2fac47f · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance The Cityscapes Dataset for Semantic Urban Scene Understanding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5cc989c-6167-49dd-87d3-ff8675e24edb · outbound

This paper cites iCaRL: Incremental Classiﬁer and Representation Learning.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance iCaRL: Incremental Classiﬁer and Representation Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3edfc29-849b-461a-a3f6-4ef0d41a2905 · outbound

This paper cites Catastrophic interference in connectionist networks: The sequential learning problem.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Catastrophic interference in connectionist networks: The sequential learning problem

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0462c5e8-695d-4bc5-b294-c269f366829a · outbound

This paper cites Catastrophic forgetting in connectionist networks.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Catastrophic forgetting in connectionist networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd50b64a-69ce-477c-85ba-8edeb6ec2057 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Overcoming catastrophic forgetting in neural networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78d3fe0c-eff0-4060-9411-6329705fefab · outbound

This paper cites Learning without forgetting.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Learning without forgetting

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e5afac-5a3e-437e-9475-d3ee535b548b · outbound

This paper cites Modeling the Background for Incremental Learning in Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Modeling the Background for Incremental Learning in Semantic Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af95e3e8-99f8-4092-93cc-47dad95bd6ac · outbound

This paper cites A Semantic Segmentation Method for Road Sensing Images Based on an Improved PIDNet Model.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance A Semantic Segmentation Method for Road Sensing Images Based on an Improved PIDNet Model

Reference 10

Resolution: verified exact; doi, observed 2026-06-29T18:03:47.502987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26e29f1f-72d8-4e1e-a831-5f18b3867477 · outbound

This paper cites ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:47.805902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 153c6000-d9eb-44f9-928d-571f31ef0026 · outbound

This paper cites ICNet for Real-Time Semantic Segmentation on High-Resolution Images.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaa4d45b-50ed-4633-938a-5bdebaf9aed9 · outbound

This paper cites BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmenta- tion.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmenta- tion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8bf8704-910c-4bd3-90ef-b54b8da626b4 · outbound

This paper cites Fast-SCNN: Fast Semantic Segmentation Network.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Fast-SCNN: Fast Semantic Segmentation Network

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a465fe97-59df-4ca6-9c44-78d84f6f850f · outbound

This paper cites Rethinking BiSeNet For Real-time Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Rethinking BiSeNet For Real-time Semantic Segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae5e61e-48fa-4707-b4e6-49d9eafbcdee · outbound

This paper cites Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5b98db-0dd8-46f9-810f-c52e5317ce08 · outbound

This paper cites PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Control.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance PIDNet: A Real-time Semantic Segmentation Network Inspired from PID Control

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b21672-2efd-4e58-9791-cad42ebe552f · outbound

This paper cites Gated Convolutional Neural Network for Semantic Segmentation in High- Resolution Images.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Gated Convolutional Neural Network for Semantic Segmentation in High- Resolution Images

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89dc7adb-41d7-4994-bd73-9f482a11bae5 · outbound

This paper cites PointRend: Image Segmentation as Rendering.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance PointRend: Image Segmentation as Rendering

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a9e0cd6-8ffb-4030-9434-186750d34584 · outbound

This paper cites Stereo SLAM in Dynamic Environments Using Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Stereo SLAM in Dynamic Environments Using Semantic Segmentation

Reference 20

Resolution: verified exact; doi, observed 2026-06-29T18:03:47.509036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27334851-2759-49ae-956f-d8ed802f892f · outbound

This paper cites Incremental Learning Techniques for Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Incremental Learning Techniques for Semantic Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b8a8bc-e35d-447d-bd43-29f8cd8ac01f · outbound

This paper cites PLOP: Learning without Forgetting for Continual Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance PLOP: Learning without Forgetting for Continual Semantic Segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0201be2-1b24-4c2f-aa82-959992638142 · outbound

This paper cites SSUL: Semantic Segmentation with Unknown Labels for Exemplar-based Class-Incremental Learning.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance SSUL: Semantic Segmentation with Unknown Labels for Exemplar-based Class-Incremental Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a393dbc-91a6-4520-9712-400914d4bba7 · outbound

This paper cites Inherit with Distillation and Evolve with Contrast: Exploring Class-Incremental Semantic Segmen- tation without Exemplar Memory.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Inherit with Distillation and Evolve with Contrast: Exploring Class-Incremental Semantic Segmen- tation without Exemplar Memory

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a0503b-ec13-4177-9b23-a03ed85b3197 · outbound

This paper cites Deep Residual Learning for Image Recognition.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Deep Residual Learning for Image Recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d860f19-9a8e-4869-b1d5-a86c04d24325 · outbound

This paper cites Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bab85f83-b7f4-4495-97aa-9893a421e5bd · outbound

This paper cites Representation Compensation Networks for Continual Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Representation Compensation Networks for Continual Semantic Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65f075af-3b99-4f7e-b1d5-e7953126dae3 · outbound

This paper cites Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8535bf91-800d-4214-94bc-e85ef9fbd57c · outbound

This paper cites Attribution-aware Weight Transfer: A Warm-Start Initialization for Class- Incremental Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Attribution-aware Weight Transfer: A Warm-Start Initialization for Class- Incremental Semantic Segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2e1119-33c2-4252-bbd6-4c0379f49728 · outbound

This paper cites Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T18:03:44.395627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa60ac6-fbff-4895-9a27-7c26cbc08b70 · outbound

This paper cites A Note on the Validity of Cross-Validation for Evaluating Autoregressive Time Series Prediction.Comput.

PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance A Note on the Validity of Cross-Validation for Evaluating Autoregressive Time Series Prediction.Comput

Reference 31

Resolution: metadata mismatch; doi, observed 2026-06-29T18:03:47.506470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.