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Paper Citation Record · LEDGER

Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks

As of 12 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T14:39:24.662543Z digest=sha256:f5102b7ee7ffeaaae2fa45b4cfec1e9bf023d03d320dcde223d5b2eab4e269af

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T14:39:24.752917Z digest=sha256:d79d75e0cd9420f00ea3b6e8b8dc7d6f50e6009943db24ef7d00d71ba51ef21a

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=sha256:06c87559cf5799912fe13d79c60a3cd332a0dad3ad07204cc575c6810b8e9aee

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T14:39:25.151242Z digest=sha256:0e7d3a48568fce86becbb7ccf6b5bbcdbf368871b901a45e3cf41c699c5fa2a8

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=sha256:58d8501d94fdb0a5dea31cafb47fa1cb9e373f50f4a65854d6ebb56ed6f3fce8

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T14:39:25.516197Z digest=sha256:9205234d6e50fe8fa1cf566c1a98b7204c33e1c9ef4194635b8d73bfc9261075

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T14:39:25.693507Z digest=sha256:94a849c8509b42664dc864ac429abc9b780071ebc1a9dcf9b3f747f1dcfd69cc

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=sha256:13963d091da173088b358dca271c3a9d7e1e508e29adc7fda95f056848193f62

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:d059460b712d630d9c1fdec6cb1b1e00bb5cf45b81223ea6ba5b1d7a3330b6a3

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T14:39:26.220933Z digest=sha256:e391b036f5635ca7880b78e49bdba0e5cb1a653928337f98ec98a6255430e530

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:bc0b677c057c31a300d8109eabc88327a7d1930645eab2b6f6cb631f6172d162

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:dc3a549e2158256909927e132ac1bd691efdad10bc31d585c415829002ab0a09

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:dde2a84d400ae15fca603d9b37254866414826925c979dea2587e0319702d7a9

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T14:39:26.603343Z digest=sha256:705352609dee359623b4194ef711d8c21225fb38faf5fe0c01f63acde7a923aa

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:cf7b5d7f0e1b097574ee5627b2b42cb0eeeb71eaa465c72ba1794e3fc270e817

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-29T17:28:33.394661Z digest=sha256:426c546f5ed34d0881b5437a3b6a74942769ecc4bf8d9e88c04270ea7dd64857