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Paper Citation Record · LEDGER

Do Large Language Models Show Biases in Causal Learning?

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2412.10509.

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

pith.paper-citation-record.v1
2412.10509 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:57:11.525714Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b493d082-769f-4d6f-812b-0a7fb993da8b · outbound

This paper cites Positive and negative implications of the causal illusion.

Do Large Language Models Show Biases in Causal Learning? Positive and negative implications of the causal illusion

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.937816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 320bfc44-e185-494e-90c9-dcacda066fdd · outbound

This paper cites Causal illusions in the service of political attitudes in spain and the united kingdom.

Do Large Language Models Show Biases in Causal Learning? Causal illusions in the service of political attitudes in spain and the united kingdom

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.921910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.412406Z digest=sha256:a97ec355bd152e966bdce229335a43c8b6a15ab8bc54b7d4b70b3e138350fb3f

Observation 4c21d710-0140-4174-ac1a-2a45c19da7df · outbound

This paper cites an unresolved cited work.

Do Large Language Models Show Biases in Causal Learning? Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:57:11.906469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.418359Z digest=sha256:79591c6d91cee13a63e5de26b3bf684509c5d1308e4a20ed07217ebe3817c200

Observation f431da9a-52c7-4d6e-ab3d-e22e798031fc · outbound

This paper cites Death by homeopathy: issues for civil, criminal and coronial law and for health service policy.

Do Large Language Models Show Biases in Causal Learning? Death by homeopathy: issues for civil, criminal and coronial law and for health service policy

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.890708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.428810Z digest=sha256:87b6077bf934271cd9db29d772761ee3640949cc2b016df043fd2f1856870349

Observation f1b4914c-2efa-44b9-a926-b2d0995c5387 · outbound

This paper cites Hamilton and Robert K.

Do Large Language Models Show Biases in Causal Learning? Hamilton and Robert K

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.874084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.435107Z digest=sha256:a2d4aa5066a102cdb97bc919a1173b9ed2ac3d6ae61bfa2b58694bc6d824df71

Observation f16aaa45-91f7-4bb5-a7f9-ba651321ee12 · outbound

This paper cites Logical fallacy detection.

Do Large Language Models Show Biases in Causal Learning? Logical fallacy detection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.859114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.440584Z digest=sha256:25a593ff76224044f5ff4ec6325724aeec1a7070a89ea923b7aa153e8d667a0c

Observation 75e7d35d-2367-4fe7-bcef-650c70a48b0d · outbound

This paper cites Can large language models infer causation from correlation? In Proc.

Do Large Language Models Show Biases in Causal Learning? Can large language models infer causation from correlation? In Proc

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.844119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.446993Z digest=sha256:cb38dc1f90ef522c3be33a70cc100b6701a754e575d18595d4d6df6fd8b2d92a

Observation 16fdb03a-3376-4f7f-b34b-0fc54b7b372f · outbound

This paper cites LLMs Are Prone to Fallacies in Causal Inference.

Do Large Language Models Show Biases in Causal Learning? LLMs Are Prone to Fallacies in Causal Inference

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:57:11.607741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.451961Z digest=sha256:e557d16524bd95facc24335d159713cbec44faa251fb32bf9abc6a9403dbdff4

Observation 6161cdc4-f03e-43dd-ab56-0e1371347b1a · outbound

This paper cites Chain versus common cause: Biased causal strength judgments in humans and large language models.

Do Large Language Models Show Biases in Causal Learning? Chain versus common cause: Biased causal strength judgments in humans and large language models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.829752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.457659Z digest=sha256:92bde0689522f18d4797114908e52ab59fa723b03dab20c9a057b9c15c014a98

Observation 750f6e5e-8ce5-49cf-bf0a-dce36cde71ba · outbound

This paper cites A robust classic: Illusory correlations are maintained under extended operant learning.

Do Large Language Models Show Biases in Causal Learning? A robust classic: Illusory correlations are maintained under extended operant learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.815311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.462524Z digest=sha256:42beca95b18a659e4e74c92223c003b00589f9ebafa955aafc4a52f41c89b618

Observation 9fe1ac79-7199-479a-9857-1df1c0fb2080 · outbound

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

Do Large Language Models Show Biases in Causal Learning? Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T15:57:11.468158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:57:11.468158Z digest=sha256:bc65de677638ad12085b8f389abae74a5f237ab8383904f694e4f756d47533d2

Observation c00a11f9-143a-4b0b-aa63-c95817d616e5 · outbound

This paper cites Lagnado, Michael R.

Do Large Language Models Show Biases in Causal Learning? Lagnado, Michael R

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.800105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.473400Z digest=sha256:2ec4f2152918b6603b72d0eb87cb933b492cc6bccdcee52f000f381991ce247f

Observation de0ee232-8dcd-4c04-8222-9f242e8e7b4f · outbound

This paper cites The measurement of observer agreement for categorical data.

Do Large Language Models Show Biases in Causal Learning? The measurement of observer agreement for categorical data

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.784008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.478536Z digest=sha256:0dcf65be8b41edaa11ecde1db5423b0f79db9e70a348ffb524ca442e21b3ebbe

Observation f6ef5ba0-1f4c-4e70-aa91-f5a0db77ad51 · outbound

This paper cites Vadillo, and Itxaso Barberia.

Do Large Language Models Show Biases in Causal Learning? Vadillo, and Itxaso Barberia

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.765384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.483137Z digest=sha256:f23e741a86d69d8b2deb19b924131cd847c4a5575974b21e7dbd8e4719a86831

Observation 499d7990-d34f-4656-8be5-8f2b69d0b099 · outbound

This paper cites The tendency to stop collecting information is linked to illusions of causality.

Do Large Language Models Show Biases in Causal Learning? The tendency to stop collecting information is linked to illusions of causality

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.749112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.487866Z digest=sha256:5ed124e4914c4913ac9f34e723ce2823f0fc7c29db317c05c5be013df0df8338

Observation 80141d3a-aca7-434f-9e7f-c89a633483c4 · outbound

This paper cites Context and time in causal learning: contingency and mood dependent effects.

Do Large Language Models Show Biases in Causal Learning? Context and time in causal learning: contingency and mood dependent effects

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.733853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.492303Z digest=sha256:fd35103298df769e6ececad9871e9e22da204a83e4d234e56430204978bf79fe

Observation 51236d45-adb0-4925-ad70-d341d5503f5f · outbound

This paper cites Effects of question formats on causal judgments and model evaluation.

Do Large Language Models Show Biases in Causal Learning? Effects of question formats on causal judgments and model evaluation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.716425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.496992Z digest=sha256:35826404c2260a67187b4f8a9a6aa54231726f303fe0575d27052354c3e6c5b6

Observation 4e1e23f9-a4b9-4c40-9924-335fcaf50773 · outbound

This paper cites Venetis, Leanne Whelan, Bethan Hughes, and Christopher D.

Do Large Language Models Show Biases in Causal Learning? Venetis, Leanne Whelan, Bethan Hughes, and Christopher D

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.698891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.501321Z digest=sha256:b82c2b3a3a5c4974d22258fd7d1ad0fa55711c43d4296187a4742fe7e4299563

Observation 0f7632cf-f88d-428b-b3c7-1ac695446ff3 · outbound

This paper cites Being honest with causal language in writing for publication.

Do Large Language Models Show Biases in Causal Learning? Being honest with causal language in writing for publication

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.680388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.505898Z digest=sha256:4044862ed403f2ea2b32a8d1ed56e0a63050cee50624c37c73f7e2fa8159ab0f

Observation 73ba82e4-897b-454f-9b2f-e8ae0574a2f6 · outbound

This paper cites Scarcity affects cognitive biases: The case of the illusion of causality.

Do Large Language Models Show Biases in Causal Learning? Scarcity affects cognitive biases: The case of the illusion of causality

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.662649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.510978Z digest=sha256:8e2cbcf2b384cb798fa035f23d21334c9c45815977840a156dde9130f57f385c

Observation 78bb8467-7313-4aa5-bb23-a1471d49d6c8 · outbound

This paper cites Illusion of causality in visualized data.

Do Large Language Models Show Biases in Causal Learning? Illusion of causality in visualized data

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.645030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.517389Z digest=sha256:cbc0886a1d74ce14e1a9c574036330cad3e2edda31ab60e0647fb13d3b308c4b

Observation c76e6a76-ec2e-454c-9e68-b12edb923eef · outbound

This paper cites Measuring correlation-to-causation exaggeration in press releases.

Do Large Language Models Show Biases in Causal Learning? Measuring correlation-to-causation exaggeration in press releases

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:57:11.627648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.525714Z digest=sha256:d0e26b590e24dcd92bf8ec769acafa9cdc203242714217ca1c80ea696007c800

Pith citing papers

No inbound Pith citation observations are available.