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Paper Citation Record · LEDGER

Graph Kalman Filters

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.12021.

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

pith.paper-citation-record.v1
2303.12021 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 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:51:28.057605Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:55:34.984104Z

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 196f907a-d5b1-44af-a590-470bd907ff2a · inbound

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs cites this paper.

Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs Graph Kalman Filters

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:28.057605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:28.057605Z digest=sha256:67e506d5da0a16016a56437f6489c45771a5530c9ba2e3e4057af779f8ca4040

Observation d600bf15-760c-4741-a25c-333fbfa82a7c · inbound

PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty cites this paper.

PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty Graph Kalman Filters

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:16:27.860047Z

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=2026-05-07T11:34:01.305699Z digest=sha256:0fe12dfa8b8c7e041ed23f4af6a108d2ffb062c2ba14c7732e1fe16e8e469351

Observation 2f850faf-6248-4641-a089-4ca7fd18d709 · inbound

Multiscale Decomposition Reveals Predictable Interannual Variability and Climate Trends in Antarctic Sea Ice Loss cites this paper.

Multiscale Decomposition Reveals Predictable Interannual Variability and Climate Trends in Antarctic Sea Ice Loss Graph Kalman Filters

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:55:34.985471Z

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=2026-07-01T08:47:08.845943Z digest=sha256:05588f7d69d77a273465b9324b4d192cda3b58e35df276fbb451ed1223b7bc9c