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Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:16:03.989212Z

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-11T11:33:20.892688Z digest=sha256:f7a270fdec27a3e048af4af8953109d2672ffe97c0e43fe443f227c26d0cbdf2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-18T00:46:56.664582Z digest=sha256:e454c6379d6ea946a1af278c60def92b7312cd0571fb32ce92dd42cc80a1d863

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-17T12:04:10.210508Z digest=sha256:938d8bc2ca43269eac2e0b27c8ca0ec0f2ba11ff067d91f1eff32f5e7540f4da

Observation c10c6b9a-1c0f-411c-99bc-8d0f1d095fb7 · inbound

A Model-Based Approach to Imitation Learning through Multi-Step Predictions cites this paper.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Agile Autonomous Driving using End-to-End Deep Imitation Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T12:16:03.989212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:16:03.989212Z digest=sha256:e2069be61b9bd6ba71655ba547b13ee512999bf6d41ae19fc8a6f602c46cc627

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:e15ec187decd46f455063ecfab3816bcefc508eca6e9bf7273117afa91d71956

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T05:23:18.759046Z digest=sha256:5dfe1fbcbb944489af5f2b12a329cce74d6e50a88c19289edfffc97aad8312c4

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T10:50:40.841967Z digest=sha256:29dcbb9c26cffc37a48249b56d00515c38f3067f1ddc53f90ac7515f3fdba52d