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Paper Citation Record · LEDGER

Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography

As of 13 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2411.18441.

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

pith.paper-citation-record.v1
2411.18441 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:15:50.042889Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f26a09e-3da9-4b57-8159-6b42de97c4b8 · outbound

This paper cites J., Fezzaa, K., Rudraraju, S., Zinn, M.

Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography J., Fezzaa, K., Rudraraju, S., Zinn, M

Reference 1

Resolution
verified exact
doi, observed 2026-08-12T11:15:50.238728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:15:50.026058Z digest=sha256:d6c7d71677b673b31a29990180133da4d214421ae46b63accaaceb2996ad3f74

Observation 313ac48c-1794-4c6e-a30c-2fe97971cd66 · outbound

This paper cites & Van Gool, L.

Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography & Van Gool, L

Reference 483

Resolution
unresolved
no resolver link, observed 2026-08-12T11:15:50.034331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:15:50.034331Z digest=sha256:9ff651bb29d00196af2108a81908b74428fb0330630bc64a803085cc217a1ace

Observation 82b997df-9578-41c0-857b-518b53a97daf · outbound

This paper cites an unresolved cited work.

Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography Unresolved cited work

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-12T11:15:50.042889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:15:50.042889Z digest=sha256:05ad69160b4ab3947716e896216b7cff3d2763a47d4d9e20932096d3f2e27a44

Observation c8f9346a-7842-49af-a865-0a72209ec189 · outbound

This paper cites Machine Learning for Spatiotemporal Sequence Forecasting: A Survey.

Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography Machine Learning for Spatiotemporal Sequence Forecasting: A Survey

Reference 2565

Resolution
unresolved
no resolver link, observed 2026-08-12T11:15:50.038364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:15:50.038364Z digest=sha256:fb870bfa31e2cac6c297cd0a641230aab7fe73de7784800db6491c5e2a33517c

Observation c3dadc0a-c410-48c8-9377-a7836d64bd54 · outbound

This paper cites G., Nguyen, A.

Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography G., Nguyen, A

Reference 8455

Resolution
unresolved
no resolver link, observed 2026-08-12T11:15:50.030561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:15:50.030561Z digest=sha256:0239c792e6d4c782ba655f0c7f029dba1089c856c22866c6500efcdab02d38c2

Pith citing papers

No inbound Pith citation observations are available.