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Paper Citation Record · LEDGER

Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.14090.

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

pith.paper-citation-record.v1
2410.14090 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:15:40.416742Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:05:09.627834Z

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 2544fa81-e0b2-470d-9631-2d5965cc6448 · inbound

Toward Temporal Causal Representation Learning with Tensor Decomposition cites this paper.

Toward Temporal Causal Representation Learning with Tensor Decomposition Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T16:15:40.416742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:15:40.416742Z digest=sha256:5dd9d0a92c067c46bbaa5a07fdb21bf2c6b6bff39dd4effd5cc6f555624aba93

Observation 29b6bf32-1276-4ce0-b238-ca88ae64309b · inbound

Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models cites this paper.

Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:50:40.855730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T18:05:14.967162Z digest=sha256:6c17d52bfe1748bd83d67e4410a9333de66658d1fc978ee52283555463644588

Observation 710bc1d4-97bd-4f3a-b9e6-9bf7c95f5281 · inbound

Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models cites this paper.

Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:05:09.629253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T00:03:40.470908Z digest=sha256:8a8ad56b64e9c27a1b89c0a85984c2600d1e7326515bf01705e4651108d8a617