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Paper Citation Record · LEDGER

Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2003.03685.

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

pith.paper-citation-record.v1
2003.03685 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 2026-08-12T19:14:49.091345Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:06:12.920023Z

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 35345cdc-e370-44cb-8867-a0f6389046d4 · inbound

INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection cites this paper.

INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T19:14:49.091345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:14:49.091345Z digest=sha256:addcb5776739a2029d64e9781ab29bad74c57d454c64bcdde15356030964ed05

Observation 6e87c2d8-8e61-4315-bb14-0b908fffbb19 · inbound

Causal Intervention Sequence Analysis for Fault Tracking in Radio Access Networks cites this paper.

Causal Intervention Sequence Analysis for Fault Tracking in Radio Access Networks Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T12:49:42.844145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:49:42.844145Z digest=sha256:2372a6f06756031ad041c2e7b50752d1e794889613b62da769ef8002b85304eb

Observation 21f9a640-e6c1-4a17-818a-80439c92e57a · inbound

Inferring Active Neural Circuits Using Diffusion Scores cites this paper.

Inferring Active Neural Circuits Using Diffusion Scores Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:06:12.929641Z

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=arxiv_source observed=2026-05-08T01:50:46.508019Z digest=sha256:dd7cf617b734f92ff76a5ec6f77a3dd4915aa559d3444ffcbc56b654b88115c1