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Paper Citation Record · LEDGER

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks

As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2505.18034.

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

pith.paper-citation-record.v1
2505.18034 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:26.718014Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T17:28:33.394661Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:33:45.281161Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f17a702-f591-40f4-a37c-df22476eb6c6 · outbound

This paper cites Scaling up the greedy equivalence search algorithm by constraining the search space of equivalence classes.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Scaling up the greedy equivalence search algorithm by constraining the search space of equivalence classes

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:39:28.538896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:39:24.662543Z digest=sha256:1161a205817fbd3de4b1f46ae22f5320fd104ac7cc6444dd1dd26267bab73e5b

Observation b823508b-0764-4a18-b7c9-68aa58b9d03f · outbound

This paper cites Neuro-symbolic visual reasoning: Disentangling.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Neuro-symbolic visual reasoning: Disentangling

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:39:28.319855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:39:24.752917Z digest=sha256:72c29c3e43de782d0d54a16a4046775f57498feed91411ce07e7fbd4c2e818a7

Observation 6b5f8a7b-a7a0-47db-9b62-7e0839b82c62 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:24.918525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:24.918525Z digest=sha256:31784ffa0220bba3b8e6059c9ad700c8b56683602b4dcda71d54c943b5ac7d44

Observation d4b68f0c-fddb-45b4-9cf7-8158293293fc · outbound

This paper cites Diab, and Bernhard Sch \" o lkopf.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Diab, and Bernhard Sch \" o lkopf

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:39:28.059101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:39:25.151242Z digest=sha256:56cf61f46924f4ac2e3f33ab7845b1eff2aeb8bb8794b3db3f08cefc8a0bbaf3

Observation 624f3666-fb28-4f86-a2d3-1de6b6b7a881 · outbound

This paper cites Estimating high-dimensional directed acyclic graphs with the pc-algorithm.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Estimating high-dimensional directed acyclic graphs with the pc-algorithm

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:25.364664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:25.364664Z digest=sha256:d3536f2ff01154450c2d7ffa26ffb0745b2601dc3b438450ee34acde1b09e58b

Observation 7893d648-91fb-4c22-a338-3715319ab242 · outbound

This paper cites Causal reasoning and large language models: Opening a new frontier for causality.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Causal reasoning and large language models: Opening a new frontier for causality

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:39:27.854262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:39:25.516197Z digest=sha256:8125aad6c8483d6eb19f78cddfb04fd0e053fcb6bfc2104fc0d07b155339edb4

Observation 5482f54e-f2a9-4ffa-8a16-052775ea99a6 · outbound

This paper cites Discovering causal models for structural, construction and defense-related engineering phenomena.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Discovering causal models for structural, construction and defense-related engineering phenomena

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:39:27.602582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:39:25.693507Z digest=sha256:5886221855c3365a1169f8a01f34759ca9f393f478c9a086fc45562f9fde1fcf

Observation 14dce7e2-da64-4e22-a6d9-cade6d6c5eb0 · outbound

This paper cites TALM: Tool Augmented Language Models.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks TALM: Tool Augmented Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:25.912424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:25.912424Z digest=sha256:1429d75d990b5786e569e410239924fff18a424b8bc968fe2e66304df65f3e54

Observation 728a8cd5-9ed4-4d66-bae6-10d1b2d7aebb · outbound

This paper cites The book of why: the new science of cause and effect.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks The book of why: the new science of cause and effect

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:26.064063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:26.064063Z digest=sha256:b2a6bb3a79ed83a3daabd759bb51956662b72b1c8f7c3d13d7b921aa0fc16064

Observation 48ea8c58-f911-427c-90c3-daf0c8cd5d4a · outbound

This paper cites Qwen3 Technical Report.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Qwen3 Technical Report

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:39:27.390130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:39:26.220933Z digest=sha256:96a63003042482baccc156659a987c1c8810309a432d59f797d6f40152bb5f68

Observation e9149294-5c5b-487c-be6d-de06b2d25aa4 · outbound

This paper cites Language models are unsupervised multitask learners.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Language models are unsupervised multitask learners

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:26.403971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:26.403971Z digest=sha256:ccc083464127be816dbe367a8413835dae59f8701082db76282e24718f834927

Observation 721470cf-dbf1-4972-87d3-3b3df3be56ba · outbound

This paper cites Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:26.463407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:26.463407Z digest=sha256:9b3818f2562a2061b3a62a81dfd7a875e8f416545ba82950d39c7356c9a71638

Observation f94d29fc-4af3-4f17-896c-6f46ac2a05e9 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Chain-of-thought prompting elicits reasoning in large language models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:26.525623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:26.525623Z digest=sha256:630f34fa9579061e5bf0efd0409c2d7c0707b1f3e96ceb40d66125f03df67792

Observation 35665cad-598a-4696-a8bf-0a51631dddcb · outbound

This paper cites Making pre-trained language models end-to-end few-shot learners with contrastive prompt tuning.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Making pre-trained language models end-to-end few-shot learners with contrastive prompt tuning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:39:27.103611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:39:26.603343Z digest=sha256:56b4d3e8cd58e8d9a1067db2b9dbe3096bdfb33b37ac5fc9b38ae4e0f6ae4e6f

Observation bf46406c-8ea5-4649-ad5a-5bdfba7f42eb · outbound

This paper cites Qwen2.5 Technical Report.

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks Qwen2.5 Technical Report

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:26.718014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:26.718014Z digest=sha256:7a1b292f305a60667e3c3a4d55e1c26a7fd2f6e864548c94d45340ec3edcb900

Pith citing papers

Observation a293609e-6112-49bc-93e5-30ee1a0a171c · inbound

Why LLMs Fail at Causal Discovery and How Interventional Agents Escape cites this paper.

Why LLMs Fail at Causal Discovery and How Interventional Agents Escape Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:33:45.282540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-29T17:28:33.394661Z digest=sha256:a6edb5d3e1fa8d9cddf3e3df03941e580deed58cf30f85cc6ea7d82d515982c0