Paper Citation Record · LEDGER

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction?

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.29484.

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

pith.paper-citation-record.v1
2607.29484 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:14:46.316056Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e1781e6-cd0b-4ad0-87a9-5d9a2d72a39b · outbound

This paper cites What learning algorithm is in-context learning? investigations with linear models.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? What learning algorithm is in-context learning? investigations with linear models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:45.328011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79f5fa9d-25e3-4d09-804a-9f8154ea40d1 · outbound

This paper cites What can transformers learn in-context? a case study of simple function classes.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? What can transformers learn in-context? a case study of simple function classes

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:45.585729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0645180-3bf5-4f36-9406-4deb8ba6779d · outbound

This paper cites Can large language models infer causation from correlation? InThe Twelfth International Conference on Learning Representations (ICLR 2024),.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Can large language models infer causation from correlation? InThe Twelfth International Conference on Learning Representations (ICLR 2024),

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:45.735113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e76282b5-0af6-4f4d-b25a-55396168d989 · outbound

This paper cites Passive learning of active causal strategies in agents and language models.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Passive learning of active causal strategies in agents and language models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:45.898212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21eba69a-f832-489d-986f-97aa3eabed1e · outbound

This paper cites Transformers handle endogeneity in in-context linear regression.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Transformers handle endogeneity in in-context linear regression

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:46.009812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecdddb98-245b-45db-8a6f-73b89b2aa0bb · outbound

This paper cites Entity-based knowledge conflicts in question answering.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Entity-based knowledge conflicts in question answering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:46.080671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f577716e-cde0-4c04-91f1-179c009d2e01 · outbound

This paper cites Teaching transformers causal reasoning through axiomatic training.arXiv preprint arXiv:2407.07612,.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Teaching transformers causal reasoning through axiomatic training.arXiv preprint arXiv:2407.07612,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:46.244336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30b39718-f390-48f6-bc95-39d8d35d6b07 · outbound

This paper cites Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:46.316056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d50dcd6-e8a0-4ad3-a4d1-c621b4fbe342 · outbound

This paper cites Do-PFN: In-context learning for causal effect estimation.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Do-PFN: In-context learning for causal effect estimation

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:46.152696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 171e9a87-6068-42fe-8f24-c81d57c636a2 · outbound

This paper cites CLadder: Assessing causal reasoning in language models.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? CLadder: Assessing causal reasoning in language models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:45.663683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b45a334d-ff1e-4fac-9f31-2505bb185f6b · outbound

This paper cites Cresswell, and Rahul G.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Cresswell, and Rahul G

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:45.387074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

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.

Observation 209f290a-cf87-4a2f-91c8-e8a02f38a1ce · outbound

This paper cites Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference.

Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction? Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T06:14:45.476764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.