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Paper Citation Record · LEDGER

Causal Inference with Large Language Model: A Survey

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.09822.

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

pith.paper-citation-record.v1
2409.09822 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:06.959963Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:12:28.548724Z

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 181b7a68-d729-40fb-99ca-27bd00c1538d · inbound

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models cites this paper.

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models Causal Inference with Large Language Model: A Survey

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.551267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-23T03:09:38.961123Z digest=sha256:d53d7d7437730f43053da8879d45f038d3167a3a07b32b2778d6c2224ee2339c

Observation fcc8c1a0-c985-4ed2-b869-d631b3815a97 · inbound

CF-VLM:CounterFactual Vision-Language Fine-tuning cites this paper.

CF-VLM:CounterFactual Vision-Language Fine-tuning Causal Inference with Large Language Model: A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:06.959963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:06.959963Z digest=sha256:d7f3789e8516b74a91811413557d099f371d6e8d29132c9769f27e1513785a18

Observation 2c3750b8-1300-405e-beed-b1d2c0f4a7e5 · 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 Causal Inference with Large Language Model: A Survey

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:40.937719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:40.937719Z digest=sha256:4d1423f7a218fb558668a2656c7d352e36492e92926afc7f981b084fb92972ce

Observation 198ac7a1-efeb-41b0-921d-385edc2ff28c · inbound

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities cites this paper.

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities Causal Inference with Large Language Model: A Survey

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T19:59:17.260693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:59:17.260693Z digest=sha256:5a973a8def62523dc5ece2729a689a837ea24ee1826a6b1eeed8e3f78b230a56

Observation 002bdb61-ae10-4c64-9d95-2930e908aa48 · inbound

Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation cites this paper.

Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation Causal Inference with Large Language Model: A Survey

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T01:32:21.006157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T01:32:21.006157Z digest=sha256:edd28a7014219ea2994b6a2e6b266bb43a5fb9b2159d0fabc64e944d98794bbc