Pith. sign in

Paper Citation Record · LEDGER

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.17644.

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

pith.paper-citation-record.v1
2402.17644 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:39.171811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:13:25.071383Z

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 213f5ab0-6c1f-454d-809c-372f739c275f · inbound

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:13:25.074552Z

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=2026-05-23T20:10:59.264484Z digest=sha256:2e57b516f870d04591d0608653e5cbbf64d780f2a82b7e8db28b21e04822ef12

Observation 1c677169-9836-486c-a6e4-fdb84749b059 · inbound

FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.

FoNE: Precise Single-Token Number Embeddings via Fourier Features Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.664041Z

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=pdf_text observed=2026-05-23T03:07:37.363965Z digest=sha256:f2d42926944c3387d5341bbb3ede278989da1be5f35d12c384840ee451882d13

Observation 76bd4ba9-3974-4cf3-9ac5-371e35a066a6 · inbound

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation cites this paper.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.171811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.171811Z digest=sha256:041f708a3524a0dfecc5a3f5e96ba288e6efaa98e97b16209d4b5d47cc5e7cb2

Observation 04314300-6e26-46a6-bf4e-84dd9dc5dd0c · inbound

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models cites this paper.

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:59:39.130580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:59:39.130580Z digest=sha256:3567f943bc8ed620905283e2f04e4982499e1f879379f4d5bae080a4427ce811

Observation 05cc9e15-8918-4f0f-bbab-42901b1811c2 · inbound

StatEval: A Comprehensive Benchmark for Large Language Models in Statistics cites this paper.

StatEval: A Comprehensive Benchmark for Large Language Models in Statistics Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T10:36:23.976044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:36:23.976044Z digest=sha256:b9c033ae3d39217a18542866c58f1e7fcb02d8f856293b66c9982fd9bcc7ed03

Observation daad8b06-bff6-4b65-9538-40cd9b90cd93 · inbound

Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence cites this paper.

Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T02:57:09.208959Z

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=2026-05-13T02:53:45.504807Z digest=sha256:7269de82dfe78cbde67ec7650d53158adf3582b6a498b53110184dcd5c3aff59

Observation f7fb619f-491b-4acd-b6bf-c39bfa4fec62 · inbound

CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference cites this paper.

CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T04:33:59.455167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:33:59.455167Z digest=sha256:a7b96cbdc2262e53baa58518240d52c2fc2545725bbd3ecc56de2da401bfdc25