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Paper Citation Record · LEDGER

Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.10859.

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

pith.paper-citation-record.v1
2301.10859 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:07:48.191137Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:17:34.796840Z

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 55c43560-e10a-4c80-929a-7f25448026ac · inbound

Anomaly Detection and Root Cause Analysis for Microservice Systems cites this paper.

Anomaly Detection and Root Cause Analysis for Microservice Systems Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:17:34.798284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:03:00.860960Z digest=sha256:395fc87de638b8bb40a691b8daacd49e50672ff690c7455be3b472aa59373de5

Observation fdb49cdb-7000-460d-aa1c-115aa7f3b502 · inbound

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery cites this paper.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T01:07:48.191137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:07:48.191137Z digest=sha256:9a5c7e54fe4609ae677cbfde4e3750353ad1ea50fa922e295f6ce6c29d429040