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Paper Citation Record · LEDGER

Do Large Language Models Show Biases in Causal Learning?

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.412406Z digest=sha256:50833e684e4976fd155ad630b8afb872668e3dbbd361e9482da65ce078df6c90

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.418359Z digest=sha256:00e70fbf67b85a49582a8ed4455d00f6f58505e24ed58f8e8ca7c8872ecd1923

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.428810Z digest=sha256:d8d5f4727414033588293a2f614fc816e366b301ba5cf874900e77a8d952c914

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.435107Z digest=sha256:2df72a7abe07b9a713e2bb8e79f9dd91c98e56c3f8717ed4d03c7147177f872e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.440584Z digest=sha256:8a932841d4c8cc7fc041dfcbfbee910440c4e79c011bb2e7e3061989bad6e350

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.446993Z digest=sha256:3b770883090afbffa6a9cd89fed091690f723f3f7ddd0e836eeba00bb7c38340

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.451961Z digest=sha256:c2fa44821aa9a507246e54b24c7b772e51c06b7747af07707b99b4a3ba963616

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.457659Z digest=sha256:d60526f388bb41a3f5f4ce7e4726d97561da6c0aeddbd9448e5203e5db71b57e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.462524Z digest=sha256:6dba4a0147798989305b034bf12da917e42730bd3a83784bceb558c210e49d48

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:a5104a29df705517c7a685f4f25065d07a2302741ac2387816a007f5e8294133

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.473400Z digest=sha256:c77d141232fe1526027c8dbd645c140aa54c3a8902ee56aee95097b3c0148a79

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.478536Z digest=sha256:b2e3f049e4be5741db9c2fc2990febee2e30a08954de5ae22ff56b68b074d8de

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.483137Z digest=sha256:dd864e5ba12154ab97c265e7cc6ed84ffbc23b3cc647039211289e954a1db725

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.487866Z digest=sha256:0e66cf64af4238c015a054ac74478b4665dc95c6566536ef5ea330c17480710c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.492303Z digest=sha256:0ce573ab3a9e2ad2243b0e0fe80961147b1432e6a6f55c7354e169c945a734fe

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.496992Z digest=sha256:3043691b4f06c5c6d5002b7ebdc6a3768fe04b6da7542006e26c37d37da74ab7

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.501321Z digest=sha256:cecf3f1b0b1f674759b7290dee0c5c85d32084b960bbec5af3e75442d73eb688

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.505898Z digest=sha256:1961d484e5356102994f1e9627af8aea8c31b2715b64f09fb6225aae18ec50da

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.510978Z digest=sha256:3fc5f56555342ef3757cd68d6582f4c5f50ed75450b0959df05059da1ff1d2c0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.517389Z digest=sha256:ee69f27340eb58ae16b6db8dce78ab6506228c00bb122e0dd424716c68b60a39

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:57:11.525714Z digest=sha256:be1d18d8648fd0a72772687c864342ce511bd748de84a3c5198dc8bc155954c1

Pith citing papers

No inbound Pith citation observations are available.