Pith. sign in

Paper Citation Record · LEDGER

Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.03084.

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

pith.paper-citation-record.v1
2408.03084 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:21:06.325047Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T06:00:00.115595Z

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 72e822db-6766-4cf8-b57c-3630303bf4d6 · inbound

Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN) cites this paper.

Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN) Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T11:21:06.325047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:21:06.325047Z digest=sha256:b53bbeb2301b24cb9f63d30ee68ef037d769c147fab2394dc1cb575172939033

Observation f5b15a30-1bb2-46b9-a984-d1997942cf39 · inbound

DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network cites this paper.

DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-11T06:00:00.121107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:59:59.881449Z digest=sha256:ee28737d9564c333e3dc251608a6d370247cc8000b002742663daab6416743e6