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Paper Citation Record · LEDGER

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2504.18325.

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

pith.paper-citation-record.v1
2504.18325 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:23:13.778655Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:26:21.805666Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:35:40.286545Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e4e4214-7d62-4421-a909-63917aac0cb6 · outbound

This paper cites write newline.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation write newline

Reference 1

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no resolver link, observed 2026-08-16T10:23:13.656842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.656842Z digest=sha256:885761fb212535b7055e20072c7f2d8ef17eace50f1cf34f0dc34f6ce6776249

Observation 393d0980-e245-45ae-bf67-78f4bbc6cbdf · outbound

This paper cites Ws-3d-lane: Weakly supervised 3d lane detection with 2d lane labels.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Ws-3d-lane: Weakly supervised 3d lane detection with 2d lane labels

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.132993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.661136Z digest=sha256:61a4b43a65ee7ba901a73de6f5d2bbb038079cb3eeb7f2fc34d9d05215f20ab0

Observation ecb9bef5-c713-45e0-9f69-03fded5cbe9a · outbound

This paper cites Curveformer: 3d lane detection by curve propagation with curve queries and attention.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Curveformer: 3d lane detection by curve propagation with curve queries and attention

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.123061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.664858Z digest=sha256:f8beb884ba6d613e5660d79bee31f82fb23d66237aa71ded389ad787be02a4b0

Observation 9c7484d4-57a5-4ba9-845a-a808ac106f5a · outbound

This paper cites CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention

Reference 4

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no resolver link, observed 2026-08-16T10:23:13.671485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.671485Z digest=sha256:cddb6f08e7f6fabf6f142a256fc623276b6ee50b785103e31f19646e1f5f9e37

Observation d7522d4c-479c-4701-9ca5-d95ba7ede6e0 · outbound

This paper cites A multi-task vision transformer for segmentation and monocular depth estimation for autonomous vehicles.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation A multi-task vision transformer for segmentation and monocular depth estimation for autonomous vehicles

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.113830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.675829Z digest=sha256:eaebc388c1b29ec0807077ca545a3643b954d87ad41caf9cc607f8acc0ea0742

Observation 9c734dfa-bc2a-455a-8bd5-1ada10c0d169 · outbound

This paper cites Persformer: 3d lane detection via perspective transformer and the openlane benchmark.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Persformer: 3d lane detection via perspective transformer and the openlane benchmark

Reference 6

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unresolved
no resolver link, observed 2026-08-16T10:23:13.679378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.679378Z digest=sha256:0871bbd66418c93508bb77d38e2b316b511d2352da713d132401bf59ac4fc55b

Observation 63294984-e177-4784-aa1e-57fa7c448bc4 · outbound

This paper cites M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments

Reference 7

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no resolver link, observed 2026-08-16T10:23:13.682875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.682875Z digest=sha256:99ff713586872da14c1fff0f58b27aa8588fc0cbea15b64b1fb46c470d09221d

Observation 647cfa3b-c2e7-4ceb-88d1-55e0db72a5d2 · outbound

This paper cites 3d-lanenet: end-to-end 3d multiple lane detection.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation 3d-lanenet: end-to-end 3d multiple lane detection

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.098890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.686738Z digest=sha256:e65eb71bfa48d4acf65354626c41d8b933e9d901ae6526de19973f46417aaec6

Observation 159e5780-920e-4f18-91d5-1fe54280f87a · outbound

This paper cites Gen-lanenet: A generalized and scalable approach for 3d lane detection.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Gen-lanenet: A generalized and scalable approach for 3d lane detection

Reference 9

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unresolved
no resolver link, observed 2026-08-16T10:23:13.689954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.689954Z digest=sha256:6a9b61c01bbace0b32c8c21f6a2fa0f1d62d94a2d315c5e16a9ed7dc3a03950c

Observation 2a30c3fd-20f9-48d4-b8d8-a0d197b66965 · outbound

This paper cites Self-supervised monocular depth estimation by direction-aware cumulative convolution network.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Self-supervised monocular depth estimation by direction-aware cumulative convolution network

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.082457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.693090Z digest=sha256:be17a955a2d1bc9d9eeed735dbfc057cdea033e3b4b8266e7caa7937c50b4479

Observation bafbfbbb-dfcb-4809-a78f-d143c3c0d1c4 · outbound

This paper cites Deep residual learning for image recognition.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Deep residual learning for image recognition

Reference 11

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unresolved
no resolver link, observed 2026-08-16T10:23:13.696120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.696120Z digest=sha256:460d2656806441937b5ff2386477704636e290be5adfa85463cb49b06b71c1c3

Observation a099f0d4-541e-46e7-a302-a03ed5c3bcf1 · outbound

This paper cites Anchor3dlane: Learning to regress 3d anchors for monocular 3d lane detection.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Anchor3dlane: Learning to regress 3d anchors for monocular 3d lane detection

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.066375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.700010Z digest=sha256:4beca99d84c29eb2d6eff759028b5574daf7eae3347427613056342c5cdd1c80

Observation 7f5fd2cd-8f17-4e59-b070-cafbee7f7fb7 · outbound

This paper cites Eigenlanes: Data-driven lane descriptors for structurally diverse lanes, 2022.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Eigenlanes: Data-driven lane descriptors for structurally diverse lanes, 2022

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.056609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.703187Z digest=sha256:b8d27c0ef5f5e7f97ec8e6a63de8c2548017c4a47e96a00b5892f9c7fcb083b9

Observation bf1f1163-bfab-4441-9cea-a1ff969036e0 · outbound

This paper cites D-3dld: Depth-aware voxel space mapping for monocular 3d lane detection with uncertainty.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation D-3dld: Depth-aware voxel space mapping for monocular 3d lane detection with uncertainty

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.047644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.706364Z digest=sha256:92b30610a66dde8e5e34169509d5a177acced284a123a46d88e793ce84b0e4ad

Observation 8aa93d24-3ba4-4ffc-87e9-a9ece314fae0 · outbound

This paper cites Key points estimation and point instance segmentation approach for lane detection.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Key points estimation and point instance segmentation approach for lane detection

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.036704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.710264Z digest=sha256:7632c192d654de86b02147cc12dc0123308e5212ae5b866b0ca2a139af5a56de

Observation 965fb545-619a-463b-9228-fe6fe437c3cd · outbound

This paper cites Conditional random fields: Probabilistic models for segmenting and labeling sequence data.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Conditional random fields: Probabilistic models for segmenting and labeling sequence data

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.027543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.713263Z digest=sha256:3f857df3c1c0e51df10abdff13e126b3f089553b28de02e811573a3ecb7eb2d2

Observation 67dbe95b-7824-4f29-a9a7-b8866a8dfba1 · outbound

This paper cites Reconstruct from top view: A 3d lane detection approach based on geometry structure prior.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Reconstruct from top view: A 3d lane detection approach based on geometry structure prior

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.017775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.716385Z digest=sha256:773c6c365d388d3675d1da046edfe72236171120fa7c35918fd05125f350ad64

Observation 00fb07cb-4d3c-41aa-ac5c-9b0a0a2a958a · outbound

This paper cites Reconstruct from top view: A 3d lane detection approach based on geometry structure prior.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Reconstruct from top view: A 3d lane detection approach based on geometry structure prior

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.007323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.719194Z digest=sha256:4bc65da284f84f2ec046582ada321072720c02742092538b29876dc14a5c4d5c

Observation 7ecb3624-e6ac-4047-ba5a-cfe5b570c028 · outbound

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

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Line-cnn: End-to-end traffic line detection with line proposal unit

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.996881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.722752Z digest=sha256:9d128b0d73ba804e32eee268d91ceee1fe477abf86caa970a5643c4759aadb02

Observation 2c2f00ae-f52c-4201-b6b8-7564a1fec290 · outbound

This paper cites Grouplane: End-to-end 3d lane detection with channel-wise grouping.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Grouplane: End-to-end 3d lane detection with channel-wise grouping

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.986975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.726198Z digest=sha256:5cb938e20f249b89bc4374593bb5166618e3198c2141e8fb84632f7631c68fa0

Observation 6ce3fb7a-5570-4418-a158-ad365dc4db0a · outbound

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

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation End-to-end lane shape prediction with transformers

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.976224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.729339Z digest=sha256:4a5c7ba03e2039e1e1d99a5786851f9e4cd7a376bdeac1071a3eba20cdbe6296

Observation 50e3a137-11f6-469b-b955-6b5a7210094e · outbound

This paper cites Learning to predict 3d lane shape and camera pose from a single image via geometry constraints.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Learning to predict 3d lane shape and camera pose from a single image via geometry constraints

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.966209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.732283Z digest=sha256:c2a4f2d91e1ea47743119acc23654fa20b8a12b76007fa7e532d754fcbc9da5e

Observation e82dbe83-7f57-465e-b19f-f075498a8903 · outbound

This paper cites Latr: 3d lane detection from monocular images with transformer.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Latr: 3d lane detection from monocular images with transformer

Reference 23

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no resolver link, observed 2026-08-16T10:23:13.735164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.735164Z digest=sha256:9380e3e809a1a69b7b4e86b4c2abf485f03885dde6e20e0e5940a7770e0aa583

Observation 5dc09a26-7f3b-47b8-beb3-bf5fd4ee060c · outbound

This paper cites Monocular 3D lane detection for Autonomous Driving : Recent Achievements , Challenges , and Outlooks.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Monocular 3D lane detection for Autonomous Driving : Recent Achievements , Challenges , and Outlooks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.950746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.738150Z digest=sha256:107204e076b60ccf355a5a6d905af3fa74c06c470fa7499adf5b83503c2dd08c

Observation 18ed5322-93e2-4d53-a6bd-73aa2791a380 · outbound

This paper cites HeightLane: BEV Heightmap guided 3D Lane Detection.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation HeightLane: BEV Heightmap guided 3D Lane Detection

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:23:13.821315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.741252Z digest=sha256:6a60d164aa5c7c0bee17c1cbb499579851594f7ff030b1c30748b34acf09ef49

Observation 4c483b22-e325-41d9-b9c2-09ed6d7e9f0d · outbound

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

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Focus on local: Detecting lane marker from bottom up via key point

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.941220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.744765Z digest=sha256:1bd292a8bf11525d6fc816f4425a8b1251902020f77adcb111846dc627d5e344

Observation d22b7f96-db37-49b1-9da4-5a6ee0979644 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation U-net: Convolutional networks for biomedical image segmentation

Reference 27

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unresolved
no resolver link, observed 2026-08-16T10:23:13.747614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.747614Z digest=sha256:152d2fa70ed310b8f54a384049db0c6ca36ef61ec1a79053713bffc8867c7b6d

Observation 2fe4fe4a-f972-4c76-b90c-2ebdca53cf3c · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Scalability in perception for autonomous driving: Waymo open dataset

Reference 28

Resolution
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no resolver link, observed 2026-08-16T10:23:13.751075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.751075Z digest=sha256:38b32a9f19d5cb2f2b3c832bf075d1a6988d258f7151dcbdd7b0dbe6b0ecccbe

Observation c09c3e71-e7f2-4eb6-ad46-e3f663dd4efe · outbound

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

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Keep your eyes on the lane: Real-time attention-guided lane detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.919988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.754179Z digest=sha256:36833d2c95b23ce2474bffb63259fa22e875a511ffd715f537ac33ccf80132da

Observation 92a627fb-a170-4932-a17b-f367127510a2 · outbound

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

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Polylanenet: Lane estimation via deep polynomial regression

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.909146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.757239Z digest=sha256:1f81624ab6174ae120538180ca7da164f6f6b0ddd37f4e210c1d60f4863510d2

Observation 8918cac0-a89c-474e-b5aa-3ab0b727eead · outbound

This paper cites End-to-end lane detection through differentiable least-squares fitting.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation End-to-end lane detection through differentiable least-squares fitting

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.898728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.760080Z digest=sha256:7b4e0f4ee73346b92ded351982a43492352a48fd42f996097479fd574bc1aaee

Observation 67f49223-909b-40dc-a673-b499891c5532 · outbound

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

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation A keypoint-based global association network for lane detection

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.886959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.762991Z digest=sha256:2578e338bc092f31dd3662d80132637565d851ecde5c1672b1d72e88fa5b9519

Observation 713bfb72-4723-4f99-974e-28ca93f26c08 · outbound

This paper cites A keypoint-based global association network for lane detection, 2022 b.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation A keypoint-based global association network for lane detection, 2022 b

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.876156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.765932Z digest=sha256:fa4b77a78a0af4cbe4ac1c86eabd50251a1fe0e419e256c725cb73ad2c849820

Observation 97fc42f7-ea99-46ee-b07d-2f6ca10bdfc4 · outbound

This paper cites Bev-lanedet: An efficient 3d lane detection based on virtual camera via key-points.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Bev-lanedet: An efficient 3d lane detection based on virtual camera via key-points

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T10:23:13.768985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.768985Z digest=sha256:d1ae398801d6d48c8cc9f879bb37c6861e0a51e5ac097265ec287e19dfec0aea

Observation 383425d0-9030-4c18-8f12-11ed71993f09 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.859842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.772070Z digest=sha256:b3d34ee5e682e23f8ffcb7ff1784c22df6003b93a4f2c1a0fe4e4122a8bb1c98

Observation 10492948-6869-4687-b84f-195a20a75d1a · outbound

This paper cites Depth Anything V2.

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Depth Anything V2

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T10:23:13.775329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:23:13.775329Z digest=sha256:0cbbce7b97f77e117cc62d7b167baf435d3e74500a6c242899de8883100f210f

Observation 7773a99d-6324-4711-80d8-585708dee803 · outbound

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

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation Clrnet: Cross layer refinement network for lane detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:13.849169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:23:13.778655Z digest=sha256:e4d29ab1733fd46e25ae35b451fd06821af99a2e0c06da8e05ffcc0a1072c006

Pith citing papers

Observation d0715034-ca2a-4615-b086-fd5e9bc52ceb · inbound

HSDF-Lane: Height-Aligned Signed Distance Field with Semantic Lane Prior for 3D Lane Detection cites this paper.

HSDF-Lane: Height-Aligned Signed Distance Field with Semantic Lane Prior for 3D Lane Detection Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:35:40.288252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T06:26:21.805666Z digest=sha256:65b73d3a121271d1ed87c0a5bf5bc3b2e558ac3f3b5f09e8bc343be790069546