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Paper Citation Record · LEDGER

TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.03629.

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

pith.paper-citation-record.v1
2503.03629 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:02:56.369771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:05:41.355698Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 631a4431-fbd5-46cc-9554-74672f72ba12 · inbound

RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion cites this paper.

RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T00:02:56.369771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:02:56.369771Z digest=sha256:60b805ec0883f05bbbf24d8ef2ba16050b25b84aaf8ecd4435c6988c76a17ee4

Observation 9c41b711-a587-49ca-9f52-a0cba76ebc42 · inbound

Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles cites this paper.

Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:08:08.177182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:08.177182Z digest=sha256:4899295531f00e54ce716f7b1138be51c59aa030bb3fbde91fea3721de70a390

Observation ed63e2fe-2dce-4885-beb9-5f0b66f1ce38 · inbound

SENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving cites this paper.

SENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:05:41.357561Z

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.

source=pdf_text observed=2026-07-01T05:50:09.245203Z digest=sha256:256bc9fe854b180fa0e7c8d749025e497d638720258e4aa9e57d39964270f7f2

Observation 13eaf10e-6582-45f4-8582-bd5953d70dbe · inbound

WM-Cov: Test Adequacy for Interactive World-Model-Style Autonomous Driving Simulation cites this paper.

WM-Cov: Test Adequacy for Interactive World-Model-Style Autonomous Driving Simulation TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T00:49:20.632329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:49:20.632329Z digest=sha256:ef6463aeb95f14dba5f9839e6f60cb1f60967e1ff767c4e010814df0e737b620