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Paper Citation Record · LEDGER

Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.06820.

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

pith.paper-citation-record.v1
2312.06820 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:04:26.384046Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:43:42.349733Z

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 fdfcd495-7f76-4cb4-97d1-0e333fe46cb2 · inbound

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation cites this paper.

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:26.384046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:26.384046Z digest=sha256:9275a43031059c13f4030ad7588b435a5bdaf959d59c89b357b23322e7a2ef96

Observation a03bcf97-2075-4062-a7cb-fdf48d4263fb · inbound

Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models cites this paper.

Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:43:42.355253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:43:37.005080Z digest=sha256:0f1469cd99f2d8d583eb9a2518cb578cd38767c6d649efb487ee1ad8653fee2d