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Paper Citation Record · LEDGER

Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.06727.

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

pith.paper-citation-record.v1
2103.06727 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:28.928333Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:16:28.064256Z

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 1bb2e5d1-3fbe-4d58-8130-19aa54ad387c · inbound

Quantum Engineering of Qudits with Interpretable Machine Learning cites this paper.

Quantum Engineering of Qudits with Interpretable Machine Learning Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:42:29.055389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:42:28.928333Z digest=sha256:e8c8b88ebced00c286393d04d02ba09f20567d74f49815ddd7f6b6bcc8c243a8

Observation 7dfa7ed3-d4f7-4d5f-837c-1404bc00723d · inbound

Physics-Informed Neural State-Space Modeling of Battery-Electric Vehicle Dynamics for Closed-Loop Automated Parking Simulation cites this paper.

Physics-Informed Neural State-Space Modeling of Battery-Electric Vehicle Dynamics for Closed-Loop Automated Parking Simulation Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T05:32:58.652553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:32:58.652553Z digest=sha256:864f6b78bc70ce5dfed4e0c4d4d43d02bbfe49d38f1b9b9610d139527139f43f