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Paper Citation Record · LEDGER

Agile Autonomous Driving using End-to-End Deep Imitation Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1709.07174.

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

pith.paper-citation-record.v1
1709.07174 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:58:12.769027Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.832309Z

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 f7ed9bcb-9b7c-4cd0-883f-d8322957c052 · inbound

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Agile Autonomous Driving using End-to-End Deep Imitation Learning

Reference 117

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:33:21.709856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T11:33:20.892688Z digest=sha256:6b504f4c7eee481c84e9025e564dd68fc949ca87fe5e52eb25c77e46116d5bfe

Observation d772fce0-21d3-4511-a3ba-26e3cc32ef85 · inbound

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment cites this paper.

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Agile Autonomous Driving using End-to-End Deep Imitation Learning

Reference 106

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T00:46:56.743242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T00:46:56.664582Z digest=sha256:cc6da2b145768fc4c57e40d28fccbc673662200cac2fdc18b08d71f0da0349c6

Observation 5aa2ccd4-3d3e-4520-9790-a0803c75dd39 · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Agile Autonomous Driving using End-to-End Deep Imitation Learning

Reference 216

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T12:04:10.829418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-17T12:04:10.210508Z digest=sha256:cc35031bca47d2cd991c0916cab6ac6b32531f959b7bf2070673e52f2fc6c674

Observation d13364f2-5c18-48ea-bbd0-4e2bcb6bf3d3 · inbound

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning cites this paper.

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Agile Autonomous Driving using End-to-End Deep Imitation Learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:12.769027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:12.769027Z digest=sha256:dfe9682f96f100dbb782587d89283ab98450d709c1869557f6b5c7edd6f443f5

Observation da388aee-67e6-486f-b1aa-229ba728b932 · inbound

SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving cites this paper.

SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving Agile Autonomous Driving using End-to-End Deep Imitation Learning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:23:21.584404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T05:23:18.759046Z digest=sha256:b93435220e5ed8bba132d9073d7cf2b05e36ac9afb1f9d856aec9bd632c290f0

Observation 8b3fb642-1d81-4461-b8f1-f05110d6774d · inbound

Stationary Robust Mean-Field Games under Model Mismatches cites this paper.

Stationary Robust Mean-Field Games under Model Mismatches Agile Autonomous Driving using End-to-End Deep Imitation Learning

Reference 248

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:49:42.833765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T10:50:40.841967Z digest=sha256:3f3f838ea4c79669e4d7911d60ac57554563dc5d26bb3e2126dcf422e6917ef0