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Paper Citation Record · LEDGER

Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.16572.

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

pith.paper-citation-record.v1
2305.16572 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 2026-08-06T22:36:22.704770Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:31:30.409889Z

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 bebc44d4-e782-4dc8-be32-a7e76b39abea · inbound

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? cites this paper.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:22.704770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:22.704770Z digest=sha256:53a17a47e0ff6899d5f9fa4b9a049a68dab08e7d71dda8d9e845624279624675

Observation 6fc8986b-c9bf-48f8-9720-a5b9b8309339 · inbound

CauSim: Scaling Causal Reasoning with Increasingly Complex Causal Simulators cites this paper.

CauSim: Scaling Causal Reasoning with Increasingly Complex Causal Simulators Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:30.431228Z

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=2026-05-12T02:33:04.549851Z digest=sha256:da3107ec6d825d236edd1cb2c23a01dc90eb1cd0dcd5d436c2a486f672ff2c7e