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Paper Citation Record · LEDGER

Causal Inference on Outcomes Learned from Text

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.00725.

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

pith.paper-citation-record.v1
2503.00725 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:30.737587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:36:27.472679Z

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 976dcfdd-9213-4fd3-8c10-51734f8d5635 · inbound

Advertising in AI systems: Society must be vigilant cites this paper.

Advertising in AI systems: Society must be vigilant Causal Inference on Outcomes Learned from Text

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:30.737587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:30.737587Z digest=sha256:f45e772ef39b502540e242337e77baa6ade0b812e3a33a8d477f6b92dc52f6de

Observation 6161049f-fd2a-4838-b922-9baf113e01fe · inbound

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time cites this paper.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Causal Inference on Outcomes Learned from Text

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T10:25:21.289809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:25:21.289809Z digest=sha256:46078b50b4e4015f314cada2f1e427ccc39368afb20a504463d69842ebb74114

Observation 971ab753-da25-4e1d-b33c-a1c2291aaf09 · inbound

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach cites this paper.

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach Causal Inference on Outcomes Learned from Text

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.972653Z

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=2026-05-18T01:56:50.978054Z digest=sha256:6e9ea0efc90d19baa48a5aabc7fea2f908ca2e391832febdcb5fa186b4dd0838

Observation 437a6e0d-022e-499c-b2b2-e25ffd0fd208 · inbound

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach cites this paper.

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach Causal Inference on Outcomes Learned from Text

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T00:23:27.591213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:23:27.591213Z digest=sha256:a3d7b8bc181e84f8527b919dfa4cfd11a5e8f7e8fbef9cc14e9cf7eb319892a4

Observation 5c7ec589-e5e2-49af-9439-ca07cec7bf07 · inbound

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates cites this paper.

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates Causal Inference on Outcomes Learned from Text

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:36:27.474000Z

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=2026-06-28T10:46:13.006992Z digest=sha256:b2394aaea0eb1ea13bdd5e3f2e963729a8415834d4edc8455c961b8e3b6b83ea

Observation e6775dd9-8893-4e42-a8a0-5e11b92429ee · inbound

Econometrics with Pre-Trained Embeddings for Unstructured Data cites this paper.

Econometrics with Pre-Trained Embeddings for Unstructured Data Causal Inference on Outcomes Learned from Text

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-01T18:15:33.972865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:33.972865Z digest=sha256:95c6322279f49271730735a883a5ae737bef22b63f8fc811983aedbc2630da35