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Paper Citation Record · LEDGER

Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1410.7827.

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

pith.paper-citation-record.v1
1410.7827 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:47:24.344831Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:16:07.048873Z

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 7357a2f4-6b17-4278-a250-1b1518e54492 · inbound

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder cites this paper.

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T19:51:18.280904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:51:18.280904Z digest=sha256:adbb380189eadc3390f08037981724b8c664dc2e92f029374cac291c631884b8

Observation bf6143f6-d725-4559-b8f1-6c309eb22792 · inbound

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document cites this paper.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:30:38.032371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:30:38.032371Z digest=sha256:375d2d5b2519dc131db4b4b1f87f46bc92c7bfdc783551dd83e09526c9e13ef4

Observation 145809b0-7f74-4345-93c0-a30bff043717 · inbound

Coarse-to-fine spatial GLMM for scalable prediction and multiscale analysis cites this paper.

Coarse-to-fine spatial GLMM for scalable prediction and multiscale analysis Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:41:26.998564Z

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=2026-05-09T18:22:41.311474Z digest=sha256:3062c55e6ce252e2ebfe1bef1526c2832ff29242e7ceabc10d2480c321936ece

Observation 6d405a61-d711-45e4-a130-3948465686f4 · inbound

Coarse-to-fine spatial GLMM for scalable prediction and multiscale analysis cites this paper.

Coarse-to-fine spatial GLMM for scalable prediction and multiscale analysis Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T05:22:42.250169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:22:42.250169Z digest=sha256:b21d90ed2318f7af89525bd0db631c26ec019414a0e0f67e03d29ac5da9b4b33

Observation 9ff1e73f-a15f-4dfb-91a8-def7bcd12529 · inbound

Fast covariance-free spatiotemporal modeling via coarse-to-fine learning cites this paper.

Fast covariance-free spatiotemporal modeling via coarse-to-fine learning Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T19:02:36.702764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:02:36.702764Z digest=sha256:6793ae17125d3bdeaff95b5e8f02b28d2f86a938232e6623ea9c12763647ab3e

Observation 936d216c-a6ca-4faf-aca0-4b68ad6704d4 · inbound

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations cites this paper.

Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:24.344831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:24.344831Z digest=sha256:f02d7e3edb2dd045dda915e1ead1d3bf365194179b4f5d25da34c031b4bd369e