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Paper Citation Record · LEDGER

AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Cities

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.16449.

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

pith.paper-citation-record.v1
2401.16449 v1

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:27:59.706484Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:25:08.575566Z

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 c5de2aaa-0dca-48be-a5b6-bd3c2f2b2594 · inbound

Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities cites this paper.

Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Cities

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:27:59.706484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:27:59.706484Z digest=sha256:0a109fc67534d32e7e1565e6910ba27b25eb4843e2d9dc3ef0a5d92536c6355d

Observation 714c8b82-ac33-4104-8be3-98c9d67a78fb · inbound

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks cites this paper.

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Cities

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:25:08.583503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T15:25:08.489813Z digest=sha256:ac1f65c86160b94f396deb338b2c1fb6e9d8d0613017c91ed286353da530a748