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Paper Citation Record · LEDGER

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.23327.

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

pith.paper-citation-record.v1
2605.23327 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:14:35.535809Z

measured 43 of 43 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

43 of 43 outbound references displayed

  • verified exact2
  • verified fuzzy40
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f33d5ce-b004-41f4-b96e-d822255f3fa5 · outbound

This paper cites Comprehensive review of traffic modeling: towards autonomous vehicles.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Comprehensive review of traffic modeling: towards autonomous vehicles

Reference 1

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verified fuzzy
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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.

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Observation b3954404-93cd-4800-911e-79966bc19dc5 · outbound

This paper cites Deep learning-based lane detection for intelligent driving: A comprehensive survey of methods, datasets, challenges and outlooks.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Deep learning-based lane detection for intelligent driving: A comprehensive survey of methods, datasets, challenges and outlooks

Reference 2

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.301467Z

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.

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Observation bee1f9f0-8667-4be8-ab82-40b7a2260c62 · outbound

This paper cites Robust lane-mark extraction for autonomous driving under complex real conditions.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Robust lane-mark extraction for autonomous driving under complex real conditions

Reference 3

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verified fuzzy
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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.

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Observation 2a68e44b-fd8c-45ea-82a2-b383da9cdda3 · outbound

This paper cites Real time detection of lane markers in urban streets.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Real time detection of lane markers in urban streets

Reference 4

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.326696Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:30c38466e1279496f5d4c6872d6650d6e716e1b94d264720e6ece8573fdd7ae0

Observation b6f19839-1ca1-46c8-8a46-dfb6b6e29822 · outbound

This paper cites Lane detection and tracking using b-snake.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Lane detection and tracking using b-snake

Reference 5

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raw_fallback, observed 2026-07-08T14:04:58.339334Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:ebf031fce5b5e300004ee6c0a4836b37f9d87f37e67aaaebdaaa551e06b989a3

Observation 6a6959d5-a9f2-471f-b9c3-84f4fae51f07 · outbound

This paper cites Hierarchical additive hough transform for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Hierarchical additive hough transform for lane detection

Reference 6

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raw_fallback, observed 2026-07-08T14:04:58.337482Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:47252ccce69abd5bf39f5f9f152bd5bd36d272e978602260f1eaa9f0de3e6d70

Observation b2df6930-2695-426d-b4a7-257e4c05577c · outbound

This paper cites Simultaneous detection of lane and pavement boundaries using model-based multisensor fusion.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Simultaneous detection of lane and pavement boundaries using model-based multisensor fusion

Reference 7

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.324702Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:396e0f11a89bcd0da94f3f30f412510fbda2cc0bc03e7efedab7db1c8a143a61

Observation e2719980-ac5f-4dcb-8ba4-96ba79c8bf0a · outbound

This paper cites Lane detection for autonomous driving: Comprehensive reviews, current challenges, and future predictions.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Lane detection for autonomous driving: Comprehensive reviews, current challenges, and future predictions

Reference 8

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.351387Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:2c64885b27e57f3d1a4c0cee59aec3dbf6ed0c2e674216dd3873188fcfda9afe

Observation 9736c49e-badd-432a-b9d4-0ba149505782 · outbound

This paper cites Towards end-to-end lane detection: an instance segmenta- tion approach.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Towards end-to-end lane detection: an instance segmenta- tion approach

Reference 9

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.343169Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:ef55cdd8a42ae344db2d2dc0b95b49b0e80a80e7559ba2847e17664b864563f3

Observation 1a353537-c09e-4974-ab76-b68901cb8eff · outbound

This paper cites Spatial as deep: Spatial cnn for traffic scene understanding.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Spatial as deep: Spatial cnn for traffic scene understanding

Reference 10

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raw_fallback, observed 2026-07-08T14:04:58.341290Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:1d761a3486e06e06d9bc4dd7d2c18e37b93e45bac49f46daa5e305ff24118db0

Observation 6e8ef9f9-0b85-49c1-8000-cd78ec09d3da · outbound

This paper cites Learning lightweight lane detection cnns by self attention distillation.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Learning lightweight lane detection cnns by self attention distillation

Reference 11

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raw_fallback, observed 2026-07-08T14:04:58.345310Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:f422d6d4e7a9c0e8bf969e569e964fb048e570c129de54d40503f7ee320ac747

Observation 654bf82d-bd09-4acf-b0eb-1597d951db74 · outbound

This paper cites Resa: Recurrent feature-shift aggregator for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Resa: Recurrent feature-shift aggregator for lane detection

Reference 12

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.349595Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:9a82ef4ddd176113511a83a306e7fcf895db9b147123541b323a0376b61d8c7b

Observation 9d58a958-123b-4b4a-845f-da6545737348 · outbound

This paper cites Polylanenet: Lane estimation via deep polynomial regression.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Polylanenet: Lane estimation via deep polynomial regression

Reference 13

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.308561Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:e3d80de4ec01a9395b5d21ae7e9c5c74f598ee66ffb3814f0757b22aabb8562f

Observation 21ffe624-e094-43c2-82fd-27f0d2b53533 · outbound

This paper cites End-to-end lane shape prediction with transformers.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection End-to-end lane shape prediction with transformers

Reference 14

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.326260Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:8f6478528b781bd22feb3c6fa91f999c8dcd8c470d2389f7dc568a600cf06f66

Observation 5e712ba4-5cf9-4196-8195-b7e0960947ae · outbound

This paper cites Rethinking efficient lane detection via curve modeling.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Rethinking efficient lane detection via curve modeling

Reference 15

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.328177Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:a89de042bf544b252579b6c7cac42dcbd5777dc747bc1298d71c8e552890a3ce

Observation 5e5ffe66-9380-4171-a392-3d0c65a03dd3 · outbound

This paper cites BSNet: Lane Detection via Draw B-spline Curves Nearby.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection BSNet: Lane Detection via Draw B-spline Curves Nearby

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:52.899059Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:a97720187db868c14450dc97d0cb818b89d0744d96570da6f1e2e6432175af13

Observation fbda4082-b57a-47ba-bc3d-cd30454b5907 · outbound

This paper cites Ultra fast structure-aware deep lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Ultra fast structure-aware deep lane detection

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.316109Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:ccb99cccbb83dc2547debba68d20808a0c9bf3612057fea8b29b9bbce92c7b7d

Observation 7b6eaa3d-8e0b-4daa-9407-e5649be389bc · outbound

This paper cites Condlanenet: a top-to-down lane detection framework based on conditional convolution.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Condlanenet: a top-to-down lane detection framework based on conditional convolution

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.322104Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:a3b19c46f4cae754edfab68d2b3cd297162087dc45250d145cfa58e24ccc91d0

Observation d58a6d68-7134-4eee-ba14-ba911d9c6ca2 · outbound

This paper cites Ultra fast deep lane detection with hybrid anchor driven ordinal classification.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Ultra fast deep lane detection with hybrid anchor driven ordinal classification

Reference 19

Resolution
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raw_fallback, observed 2026-07-08T14:04:58.295608Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:64d56dadb21342d36ff260d6b4c5a2c43b2dccef175dff134885e17189bce400

Observation 1c008334-2757-4ae4-87db-87689a8fee09 · outbound

This paper cites Line-cnn: End-to-end traffic line detection with line proposal unit.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Line-cnn: End-to-end traffic line detection with line proposal unit

Reference 20

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.320034Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:99b6c4688c8427c0fd8729f3f6798e5ba30c1083e1b0d60c7e54ff6454f74a11

Observation 715fe135-5a29-4bba-8383-ebb4ab7ff756 · outbound

This paper cites Keep your eyes on the lane: Real-time attention- guided lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Keep your eyes on the lane: Real-time attention- guided lane detection

Reference 21

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raw_fallback, observed 2026-07-08T14:04:58.324337Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:33a073f6456bc4409e7b5640a4d33ce537fc48f258b2ce8c3fe14d89f977b7fa

Observation e9e3db8c-e665-468c-950b-b176cf427dfe · outbound

This paper cites Clrnet: Cross layer refinement network for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Clrnet: Cross layer refinement network for lane detection

Reference 22

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raw_fallback, observed 2026-07-08T14:04:58.330884Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:280699eb090289cbd09665a132ea82fea0dc5333c043db75f8b8bc2b10e2127e

Observation cdfc5be5-cb50-4982-a1c3-1768a65ae6c0 · outbound

This paper cites Clrernet: improving confidence of lane detection with laneiou.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Clrernet: improving confidence of lane detection with laneiou

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.354391Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:1e3d59e012d921453a0309e03297f61692c912f2e449521277cab06d880de197

Observation 10d69198-7a15-4cea-9a99-776448ab00d6 · outbound

This paper cites Ldtr: Transformer-based lane detection with anchor-chain representation.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Ldtr: Transformer-based lane detection with anchor-chain representation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.298566Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:ce5ac28c12220cb5b48bd73b6d052bbace0f24184ecf52701737056cd19e7431

Observation 993c514d-aac8-4009-9e11-d48f864dd301 · outbound

This paper cites Pointlanenet: Efficient end-to-end cnns for accurate real-time lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Pointlanenet: Efficient end-to-end cnns for accurate real-time lane detection

Reference 25

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.308250Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:3ba4f3499acfa7d0f9003a24d2fb00529bae94a5667dbb2c6ea82970ac061267

Observation b0a0f692-a132-44a0-95f6-f28a2258a601 · outbound

This paper cites Focus on local: Detecting lane marker from bottom up via key point.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Focus on local: Detecting lane marker from bottom up via key point

Reference 26

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raw_fallback, observed 2026-07-08T14:04:58.312699Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:87364f0830c1dca46eb18c6fc41fc3a9f890c4cb0442c088c62e87cbdd741792

Observation e51c60b5-98b5-420a-b6fa-d3371888a73f · outbound

This paper cites A keypoint-based global association network for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection A keypoint-based global association network for lane detection

Reference 27

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raw_fallback, observed 2026-07-08T14:04:58.339764Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:4c14e2f966a278554f3d8825d9d00336772ab98dd7cfe257528b2be8c1c4ab28

Observation 0977845c-b5f7-46f8-b4d9-4bc349371fd5 · outbound

This paper cites Monocular Lane Detection Based on Deep Learning: A Survey.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Monocular Lane Detection Based on Deep Learning: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:52.896185Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:151028dae24a8fe058ed8d6b5594f9bf6fa288fd9f150bcbfb0e4bc65de8d4be

Observation 616ecd4f-34ae-4b40-8ff7-fd1c50c7df68 · outbound

This paper cites Asymmetric strip transformer with position vectors embedding for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Asymmetric strip transformer with position vectors embedding for lane detection

Reference 29

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.335862Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:9f60eb767a19eb425673a7c5118767089a9133e776c889bbe4c48b5994720631

Observation b75d2267-ed82-479c-bc9c-d2abd1603aea · outbound

This paper cites End-to-end lane marker detection via row-wise classification.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection End-to-end lane marker detection via row-wise classification

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.297604Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:a034400f5e559270f336ba84efc204b841610e500cd03fe5c23d7f80622286ca

Observation 8ffa9fdc-b5d0-4891-ac76-0555388f4927 · outbound

This paper cites Feature pyramid networks for object detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Feature pyramid networks for object detection

Reference 31

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raw_fallback, observed 2026-07-08T14:04:58.349933Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:d3070393272ba6c49965848e165b41cb6afab48f8c76a7de6ac8e72d598e8db1

Observation c19558d5-59dd-4e26-9e8a-55453ece145b · outbound

This paper cites A comprehensive review on yolo versions for object detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection A comprehensive review on yolo versions for object detection

Reference 32

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raw_fallback, observed 2026-07-08T14:04:58.320473Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:1a8cc832addf0e1cda5b53f9ec48895242da93cd850aa8cede7416eb224e3a7c

Observation ae940fc5-89cd-4a49-84db-42448cee98c7 · outbound

This paper cites an unresolved cited work.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-07-08T14:04:58.315438Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:b9d4da43200e44ec3f0799f6ed723fa40f6c4b07fd80de4d5c12696f26d20b0a

Observation c32a6e95-4648-4bcd-a3eb-6e6bb2bd5128 · outbound

This paper cites Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.333090Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:692b135adaeb6dcf74be3073cad0217fad67718fcc1b47258a6051bfdf4a8e79

Observation 2ea2657a-344d-4dfb-8513-cc4dfdf6509b · outbound

This paper cites Clrkdnet: Speeding up lane detection with knowledge distillation.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Clrkdnet: Speeding up lane detection with knowledge distillation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.347695Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:9e6630b797febd48063a94eb00eb83d96182b0e0f0a528553fcc6871b0e34a2d

Observation bab6e95c-b8fd-4169-9a2c-28214e717bfc · outbound

This paper cites Generating dynamic kernels via transformers for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Generating dynamic kernels via transformers for lane detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.355424Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:3b7b4e3868e8f26443f5903dd863b0900a4df65b4945d5fa3eceb78558b05f2e

Observation 84d0cc94-e589-4ddc-bbad-507c953374c0 · outbound

This paper cites A siamese transformer with hierarchical refinement for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection A siamese transformer with hierarchical refinement for lane detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.290192Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:ee1e0804ee61c1f9261703d5499696f370ad3706d32b18578b52e1afb42ca6af

Observation b13c4c60-dbd2-4616-b9d2-fd1721877256 · outbound

This paper cites Dlnet: Direction-aware feature integration for robust lane detection in complex environments.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Dlnet: Direction-aware feature integration for robust lane detection in complex environments

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.341606Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:96a745fa36a45ab92f67027afa8f51a01b14f86b0cd3a88350352aba72dece90

Observation 8b8f657a-4b03-418c-b407-2b2b90aad4de · outbound

This paper cites Unsupervised labeled lane markers using maps.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Unsupervised labeled lane markers using maps

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.306674Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:8672bd55fbc19910e09c2e6f63f77e094f9f8293dc355d84fb1bdd47cd0b3be7

Observation 607b88e7-55f9-41a4-82a6-79b413ac50be · outbound

This paper cites Deep residual learning for image recognition.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Deep residual learning for image recognition

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.337770Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:f9a4823f3b44bfd6e5e3731cf8c76c1a916351118b5837a1c2395ef9295b575e

Observation e129e670-196d-41ed-ba2b-94e3cf3252d6 · outbound

This paper cites Repvit: Revisiting mobile cnn from vit perspective.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Repvit: Revisiting mobile cnn from vit perspective

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.353252Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:3c9d3364567e4f17d4e36cacc0aaf936b70f9acd8da55efe74c5124df2181e04

Observation a49fedc3-ec5e-475f-a5cd-66160f2568f9 · outbound

This paper cites Deep layer aggregation.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Deep layer aggregation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.359853Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:1aa05ac99a1f38c045f098a59feef2cf1bd1f550b2a4dbe2e705eab7653f5aa6

Observation 4efe45d1-9d7d-4ffc-b1cb-d157245e24c3 · outbound

This paper cites CANet: Curved guide line network with adaptive decoder for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection CANet: Curved guide line network with adaptive decoder for lane detection

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.357659Z

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.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:061cab41b2168a5ef42920f3a0dbce24c9065d248f43bfe5a654fc4d8adc8196

Pith citing papers

No inbound Pith citation observations are available.