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Paper Citation Record · LEDGER

Marrying Causal Representation Learning with Dynamical Systems for Science

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.13888.

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

pith.paper-citation-record.v1
2405.13888 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:06:08.539918Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0fc9aaaa-dccc-4cd8-8e96-ef1ee4fb6c70 · inbound

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications cites this paper.

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications Marrying Causal Representation Learning with Dynamical Systems for Science

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-12T00:06:08.539918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:06:08.539918Z digest=sha256:e55a02ccfb7608aa652d6e09aac1f1722d920c2ce61649ff30150338a817ce1f

Observation f9213545-c356-4b26-839e-d370554da351 · inbound

"Cause" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of "Causal Machine Learning" cites this paper.

"Cause" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of "Causal Machine Learning" Marrying Causal Representation Learning with Dynamical Systems for Science

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:49.227720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:09:49.227720Z digest=sha256:494cd31f3b6ac429811a37da295c6b433df8861b8724b0a0bef728630d5882c9

Observation bd48c338-aafd-4bc9-af8a-6bb76a13d747 · inbound

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis cites this paper.

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis Marrying Causal Representation Learning with Dynamical Systems for Science

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-10T17:16:27.678026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:16:27.678026Z digest=sha256:a2cffa07337cb1a4add03bde32754d3540cd314dafcd4afd5e8dd9588bc0ea35

Observation 5266c65e-b99c-4824-8d9e-12927bbc763c · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery Marrying Causal Representation Learning with Dynamical Systems for Science

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-06-26T20:49:57.319957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T20:45:15.226889Z digest=sha256:98cb0afa8e74d8512136382a7481426130f0249e62fa929e1950ca6cd1a4d87d