Paper Citation Record · LEDGER

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2305.00050.

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

pith.paper-citation-record.v1
2305.00050 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:57:06.033343Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 9841963b-a21d-4a9c-99a3-6cfa58d0a65e · inbound

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data cites this paper.

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:53:38.706485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69141079-9e3c-41b3-91b9-c24a9be15a23 · 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 Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:12:28.514305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ce99217-9a35-4aa2-b42c-a4c9aba88dd6 · inbound

Gemma 3 Technical Report cites this paper.

Gemma 3 Technical Report Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:22:12.117044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 666229a7-fa1e-471a-8462-f19191e4c2ec · inbound

Sequential Causal Discovery with Noisy Language Model Priors cites this paper.

Sequential Causal Discovery with Noisy Language Model Priors Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:42:12.980177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed244df1-27b3-46f3-9058-653445eb3658 · inbound

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement cites this paper.

Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T14:57:06.033343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f76709d-0905-4f1e-9d3c-65211160695d · inbound

Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment cites this paper.

Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:31:04.505786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 11ed277b-15a1-4c57-a9e8-ca668a703f22 · inbound

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching cites this paper.

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T21:28:28.998405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cf40714-c511-47b1-879b-f6adc61194b9 · inbound

Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away cites this paper.

Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:48:11.374254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 063a9fd6-116f-4d73-a71a-189ceca48cfd · inbound

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation cites this paper.

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:51:01.407186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b48be43b-d73b-43d3-aa89-d73c505064bc · inbound

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation cites this paper.

Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T22:35:20.447241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03bf31a9-d09d-43b4-9df3-c82e024fb421 · inbound

DeepImagine: Learning Biomedical Reasoning via Successive Counterfactual Imagining cites this paper.

DeepImagine: Learning Biomedical Reasoning via Successive Counterfactual Imagining Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:36:13.897719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a599631d-a020-4c9b-b94e-cc12e5648aa2 · inbound

PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery cites this paper.

PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:21:06.624198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b41cf53-eb05-4e5a-9b36-4e818305f789 · inbound

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations cites this paper.

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 266

Resolution: verified exact; arxiv_id, observed 2026-05-08T19:09:02.578368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 376ee5a4-8cf5-428e-8c2e-468750fd126d · inbound

CIVeX: Causal Intervention Verification for Language Agents cites this paper.

CIVeX: Causal Intervention Verification for Language Agents Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:24.543679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2f60c55b-c63a-421b-a58d-5f05175dd073 · 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 Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:57:09.233976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d65c9c53-02ac-4998-b50c-cb2cf25f35f4 · inbound

PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models cites this paper.

PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:39:26.825893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3ca295c4-6453-4813-8c9f-4c61330adf0f · inbound

CasualSynth: Generating Structurally Sound Synthetic Data cites this paper.

CasualSynth: Generating Structurally Sound Synthetic Data Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:18:21.292890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2f3a905e-e944-4980-99df-a2ca44dfc8f6 · inbound

CausalGuard: Conformal Inference under Graph Uncertainty cites this paper.

CausalGuard: Conformal Inference under Graph Uncertainty Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:54:43.195748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a2373659-6551-4ff8-bf7f-26c2887702f7 · inbound

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis cites this paper.

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:39.990530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c29e71e5-1679-4ea6-982a-5400dc876051 · inbound

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market cites this paper.

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.197922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9ce35f6d-d243-4863-a620-79def3c6962b · inbound

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market cites this paper.

Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T05:11:17.625988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d545ed-c3ec-416c-8019-63a1e95a66ef · inbound

Caliper: Probing Lexical Anchors versus Causal Structure in LLMs cites this paper.

Caliper: Probing Lexical Anchors versus Causal Structure in LLMs Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:36:48.526214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 991316eb-6eb3-4d82-9abf-14d032416a91 · inbound

WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds cites this paper.

WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:47:42.022873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5c1a070-276e-4622-b576-51b6e16f6904 · inbound

The New Associationism: Lessons from Deep Learning cites this paper.

The New Associationism: Lessons from Deep Learning Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.196487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bfe73563-7365-4b17-b14f-80fac7ebec31 · inbound

When Helpfulness Overrides Causal Caution: Context-Dependent Suppression and Recovery in LLMs cites this paper.

When Helpfulness Overrides Causal Caution: Context-Dependent Suppression and Recovery in LLMs Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:58.918944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 149500a5-ba2a-4b0f-928a-d95e6fa914c7 · inbound

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs cites this paper.

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:15:45.672324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d0ea668c-8cda-4ff6-8458-bf9d38464eab · inbound

Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models cites this paper.

Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:06:02.817821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 46eb5f76-32dc-4cbc-99e6-f33007c1d7ef · inbound

EviDAG: Auditable Causal DAG Authoring with Biomedical Literature cites this paper.

EviDAG: Auditable Causal DAG Authoring with Biomedical Literature Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T06:30:12.415863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37af1022-042b-448e-816c-34bdd1347f7f · 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 Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T04:33:59.190422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee3ff35-d592-46e0-84b1-b76403328951 · inbound

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games cites this paper.

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T16:54:48.582299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b3b8c6-c877-45ac-8db1-2309f16ccb3f · inbound

Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation cites this paper.

Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T12:41:26.999408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e838219-cbde-4b60-b676-474660fedfcc · inbound

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? cites this paper.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:45.780156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.