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Paper Citation Record · LEDGER

TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.10898.

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

pith.paper-citation-record.v1
2406.10898 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:44:34.502692Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:23:10.779948Z

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 dc9b3150-d8a1-42f0-a3e6-fecabaaed919 · inbound

Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset cites this paper.

Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T10:44:34.502692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:44:34.502692Z digest=sha256:040fa591f2f5d0cd6e24f2bb283c44567c76af5bd343f91bf4c890426552b631

Observation f7be67ee-20ec-4463-a873-4fe364a3b78f · inbound

Generative AI for Autonomous Driving: Frontiers and Opportunities cites this paper.

Generative AI for Autonomous Driving: Frontiers and Opportunities TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

Reference 275

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:13.606603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:13.606603Z digest=sha256:36f8266c6713803c7d216faea9a1a4a8e76edb9954a581878693fb9b41a25de5

Observation 43f256c2-a7ad-4916-a2e4-5cc0edddbdd2 · inbound

Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation cites this paper.

Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T19:15:25.424175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:15:25.424175Z digest=sha256:e5807a1411f85c86df395296411aa11d70fc697d2ae774f53384db67c50d23b7

Observation 11acc9f8-e27d-4ea9-8f86-054e5483f1ea · inbound

On Learning Closed-Loop Probabilistic Multi-Agent Simulator cites this paper.

On Learning Closed-Loop Probabilistic Multi-Agent Simulator TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:54.437345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:54.437345Z digest=sha256:897d37d94c5a8a0a1a94b828a83550740b3b7d0a080bd1412637c28f00ba9c1e

Observation 9fef68b0-0692-491b-82c7-4e2066c7c4e4 · inbound

SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving cites this paper.

SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:21:04.676938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T14:59:21.264306Z digest=sha256:c9db304f852db6857035f56273144653ffb4528b21cd2f722140c4fa2afac4e3

Observation a82eabc5-415c-40c3-b6f5-b12d063ab87f · inbound

SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving cites this paper.

SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:21:25.619590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T04:23:02.394477Z digest=sha256:7ea2d12114cdee97f4c540e4fe8a9880675e39544fd0d865c6a7ee5c72e641f5

Observation 9585bf0c-b627-4302-bd09-7c1cdf84738f · inbound

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic cites this paper.

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:02.555354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T16:00:59.662003Z digest=sha256:d6c9b8188297ac9933233d870cd060036a04914ffd85c0ca6768434d7d9d1527

Observation 127552cc-79d9-4a3c-b55b-359ba95a7859 · inbound

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning cites this paper.

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:23:10.781624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T09:19:06.011699Z digest=sha256:cf4f6215a1f210cf2da5495174fbb0bcdff038ab4b047a33ef150e0fa209e28f