Paper Citation Record · LEDGER

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving

As of 18 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 2 inbound Pith citation observations for arXiv:2412.05462.

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

pith.paper-citation-record.v1
2412.05462 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:44:00.940536Z

measured 13 of 13 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:55.106250Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:50:34.770804Z

Reference resolution

11 of 11 outbound references displayed

verified exact0
verified fuzzy7
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9755d443-f3cd-496d-bb97-e8c7be670510 · outbound

This paper cites Uno: Unsupervised occupancy fields for perception and forecasting.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving Uno: Unsupervised occupancy fields for perception and forecasting

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:44:01.115562Z

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.

Observation be81d8f3-67ea-4334-b0a2-bf3fa004a9f1 · outbound

This paper cites Point cloud forecasting as a proxy for 4d occupancy forecasting.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving Point cloud forecasting as a proxy for 4d occupancy forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T20:44:00.898419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f27d7994-740c-4407-84f4-b98af971a299 · outbound

This paper cites S2net: Stochastic sequential pointcloud forecasting.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving S2net: Stochastic sequential pointcloud forecasting

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:44:01.091210Z

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.

Observation d9470add-8adf-4af6-9091-dbc2ef3b3385 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T20:44:00.907560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59fa075e-c5b1-4614-8da6-003de218fcc4 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving nuscenes: A multimodal dataset for autonomous driving

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T20:44:00.912164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c918580-4c05-4dfa-8f8c-76bffd525846 · outbound

This paper cites Towards long-tailed 3d detection.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving Towards long-tailed 3d detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:44:01.055125Z

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.

Observation cf0a86d6-4835-4180-8d22-f89a6c299ef0 · outbound

This paper cites Predicting the intention of distracted pedestrians at road crossings.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving Predicting the intention of distracted pedestrians at road crossings

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:44:01.039473Z

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.

Observation 72cac168-abe1-4587-9e25-c27974252528 · outbound

This paper cites A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:44:01.024017Z

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.

Observation e15090d9-3aa4-4a98-9208-1625375024fb · outbound

This paper cites Variational autoencoder for end-to-end control of autonomous driving with novelty detection and training de-biasing.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving Variational autoencoder for end-to-end control of autonomous driving with novelty detection and training de-biasing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:44:01.008776Z

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.

Observation eb76519f-ff55-44c0-8cc9-56edc7239e8c · outbound

This paper cites Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T20:44:00.935979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce23bd1-e658-4c7f-97f8-98e55fe2c740 · outbound

This paper cites Lisa amazonmlsl vehicle attributes (lava) dataset.

COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving Lisa amazonmlsl vehicle attributes (lava) dataset

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:44:00.993490Z

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.

Pith citing papers

Observation d8a828e3-b7fb-420f-aaca-def3b95f3b68 · inbound

Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark cites this paper.

Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:50:34.780708Z

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.

Observation 164811e9-a918-4582-be2c-b6e7deed9304 · inbound

Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety cites this paper.

Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:13:55.106250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.