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Paper Citation Record · LEDGER

Neural Causal Models for Counterfactual Identification and Estimation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.00035.

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

pith.paper-citation-record.v1
2210.00035 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:17:31.089141Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:52:52.546812Z

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 f02e99ba-352d-42cb-89b8-d7bb21e61411 · inbound

IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning cites this paper.

IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning Neural Causal Models for Counterfactual Identification and Estimation

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:52:52.550568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:50:01.518232Z digest=sha256:44a84aae07d6c171a7792554f1b789f8d1ff41c172c9922039db8b57aa2038b0

Observation e5407665-e18d-4fa6-acf8-2df032da32e8 · inbound

Learning Implicit Causal World Models from Multi-Agent Demonstrations cites this paper.

Learning Implicit Causal World Models from Multi-Agent Demonstrations Neural Causal Models for Counterfactual Identification and Estimation

Reference 1990

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:31.089141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:31.089141Z digest=sha256:99f33564ff54f5ef6fe8618831f0ce77a4fa805cb29523976f6fa95b21c77fb8