Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:40:11.336631Z
Paper Citation Record · LEDGER
LanePerf: a Performance Estimation Framework for Lane Detection
As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.12894.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
31 of 31 outbound references displayed
- verified exact0
- verified fuzzy23
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0c125afa-2b8d-4ae2-963d-534d5180bc4c · outbound
This paper cites LaneNet: Real-Time Lane Detection Networks for Autonomous Driving.
LanePerf: a Performance Estimation Framework for Lane Detection LaneNet: Real-Time Lane Detection Networks for Autonomous Driving
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:40:08.432749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 676acb13-a5a3-47a2-9962-dacb225f34e3 · outbound
This paper cites Spatial as deep: Spatial cnn for traffic scene understanding,.
LanePerf: a Performance Estimation Framework for Lane Detection Spatial as deep: Spatial cnn for traffic scene understanding,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:16.731874Z
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 922abada-96c0-4d25-8b90-5bcb130a6b91 · outbound
This paper cites Line-cnn: End-to-end traffic line detection with line proposal unit,.
LanePerf: a Performance Estimation Framework for Lane Detection Line-cnn: End-to-end traffic line detection with line proposal unit,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:16.410750Z
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 c28b6612-9b6c-4ac3-841d-04141f5b0162 · outbound
This paper cites Keep your eyes on the lane: Real-time attention- guided lane detection,.
LanePerf: a Performance Estimation Framework for Lane Detection Keep your eyes on the lane: Real-time attention- guided lane detection,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:16.135415Z
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 1c8e6060-2d3e-44e2-a936-36df185336ee · outbound
This paper cites Polylanenet: Lane estimation via deep polynomial regression,.
LanePerf: a Performance Estimation Framework for Lane Detection Polylanenet: Lane estimation via deep polynomial regression,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:15.979039Z
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 3223a500-4cf8-488e-832e-ee075d1f1d6b · outbound
This paper cites Clrnet: Cross layer refinement network for lane detection,.
LanePerf: a Performance Estimation Framework for Lane Detection Clrnet: Cross layer refinement network for lane detection,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:15.790064Z
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 70f239b3-d9ba-4ad4-8e8f-3d0c2fda98e9 · outbound
This paper cites Qui ˜nonero-Candela, M.
LanePerf: a Performance Estimation Framework for Lane Detection Qui ˜nonero-Candela, M
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:15.622704Z
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 1700f9f6-8d0b-435e-a182-855feca84995 · outbound
This paper cites Are labels always necessary for classifier accuracy evaluation?.
LanePerf: a Performance Estimation Framework for Lane Detection Are labels always necessary for classifier accuracy evaluation?
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:15.442535Z
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 b915bbab-83d8-4ca3-9d5b-51d6414df5e9 · outbound
This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.
LanePerf: a Performance Estimation Framework for Lane Detection A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:40:09.373813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e580284f-52b6-48d4-bd89-baae983cb2cd · outbound
This paper cites Leveraging Unlabeled Data to Predict Out-of-Distribution Performance.
LanePerf: a Performance Estimation Framework for Lane Detection Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:40:09.520773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a98e50e-95c1-4a4b-ad0f-e2279e5a5577 · outbound
This paper cites Predicting with confidence on unseen distributions,.
LanePerf: a Performance Estimation Framework for Lane Detection Predicting with confidence on unseen distributions,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:15.257550Z
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 a062f6ac-6674-46ef-af63-335e74bbf710 · outbound
This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks,.
LanePerf: a Performance Estimation Framework for Lane Detection A simple unified framework for detecting out-of-distribution samples and adversarial attacks,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:15.086274Z
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 32179134-3581-4610-88ff-342aa4d8db37 · outbound
This paper cites Out-of-distribution detection with deep nearest neighbors,.
LanePerf: a Performance Estimation Framework for Lane Detection Out-of-distribution detection with deep nearest neighbors,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:14.915099Z
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 9a375125-3053-455c-8e05-b9b9ac2a9c15 · outbound
This paper cites Energy-based out-of- distribution detection,.
LanePerf: a Performance Estimation Framework for Lane Detection Energy-based out-of- distribution detection,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:14.742020Z
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 1e261686-f466-4a90-af38-a137687c7f5e · outbound
This paper cites Your classifier is secretly an energy based model and you should treat it like one,.
LanePerf: a Performance Estimation Framework for Lane Detection Your classifier is secretly an energy based model and you should treat it like one,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:14.506738Z
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 ade0862b-ee40-41f8-b6d5-e1b46cc9ac17 · outbound
This paper cites Monocular Lane Detection Based on Deep Learning: A Survey.
LanePerf: a Performance Estimation Framework for Lane Detection Monocular Lane Detection Based on Deep Learning: A Survey
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:40:09.712872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f970d59a-0160-4ecd-bee1-e526ce52fb6a · outbound
This paper cites Lane detection for autonomous driving: Com- prehensive reviews, current challenges, and future predictions,.
LanePerf: a Performance Estimation Framework for Lane Detection Lane detection for autonomous driving: Com- prehensive reviews, current challenges, and future predictions,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:14.304873Z
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 bd749660-ee37-4480-9d9b-3ba5add31a01 · outbound
This paper cites Unsupervised labeled lane markers using maps,.
LanePerf: a Performance Estimation Framework for Lane Detection Unsupervised labeled lane markers using maps,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:14.008020Z
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 b75cd171-a89d-44b8-9ab2-5301f7d97099 · outbound
This paper cites Tusimple benchmark,.
LanePerf: a Performance Estimation Framework for Lane Detection Tusimple benchmark,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:13.651502Z
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 5c71fe07-8dcf-4530-9668-e77ff3844dde · outbound
This paper cites Bridging the gap of lane detection performance between different datasets: Unified viewpoint transformation,.
LanePerf: a Performance Estimation Framework for Lane Detection Bridging the gap of lane detection performance between different datasets: Unified viewpoint transformation,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:13.350321Z
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 f1871200-329f-4efa-b24f-b7a52ea82489 · outbound
This paper cites Towards weakly-supervised domain adaptation for lane detection,.
LanePerf: a Performance Estimation Framework for Lane Detection Towards weakly-supervised domain adaptation for lane detection,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:13.055868Z
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 9a6afff7-2df3-4366-9157-5209682b3d83 · outbound
This paper cites On calibration of modern neural networks,.
LanePerf: a Performance Estimation Framework for Lane Detection On calibration of modern neural networks,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:12.826071Z
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 b937c76a-a4dd-4e69-8353-c215e2408f78 · outbound
This paper cites Agreement- on-the-line: Predicting the performance of neural networks under dis- tribution shift,.
LanePerf: a Performance Estimation Framework for Lane Detection Agreement- on-the-line: Predicting the performance of neural networks under dis- tribution shift,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:12.505210Z
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 c8640350-1ed9-4d9d-a491-455fa01c4de0 · outbound
This paper cites Performance prediction for semantic segmentation by a self-supervised image reconstruction decoder,.
LanePerf: a Performance Estimation Framework for Lane Detection Performance prediction for semantic segmentation by a self-supervised image reconstruction decoder,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:12.322530Z
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 4161537d-c236-4aea-aab8-eb752e6f084e · outbound
This paper cites Improving online performance prediction for semantic segmentation,.
LanePerf: a Performance Estimation Framework for Lane Detection Improving online performance prediction for semantic segmentation,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:12.165351Z
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 05e35157-31cb-4dc0-b145-2c94e87d834b · outbound
This paper cites Deep sets,.
LanePerf: a Performance Estimation Framework for Lane Detection Deep sets,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:11.866398Z
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 40d687c3-8b59-4b63-8240-7764a7938c04 · outbound
This paper cites Learning transferable visual models from natural language supervision,.
LanePerf: a Performance Estimation Framework for Lane Detection Learning transferable visual models from natural language supervision,
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:40:10.939357Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81f56d2c-6927-499f-b90c-b1643f3bce03 · outbound
This paper cites Imagenet: A large-scale hierarchical image database,.
LanePerf: a Performance Estimation Framework for Lane Detection Imagenet: A large-scale hierarchical image database,
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:40:11.028751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09bb6b60-aa48-48a3-b88f-c7d950089566 · outbound
This paper cites Persformer: 3d lane detection via perspective transformer and the openlane benchmark,.
LanePerf: a Performance Estimation Framework for Lane Detection Persformer: 3d lane detection via perspective transformer and the openlane benchmark,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:40:11.660042Z
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 e032052c-860e-4513-9db5-f7d8f9b613d8 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
LanePerf: a Performance Estimation Framework for Lane Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:40:11.225608Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a305189-0d2b-4236-a0a9-002611f22657 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
LanePerf: a Performance Estimation Framework for Lane Detection DINOv2: Learning Robust Visual Features without Supervision
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:40:11.336631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.