Pith. sign in

Paper Citation Record · LEDGER

Causality in the human niche: lessons for machine learning

As of 19 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2506.13803.

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

pith.paper-citation-record.v1
2506.13803 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:06:49.024857Z

measured 9 of 9 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T03:47:16.461463Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:52:01.650341Z

Reference resolution

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a84c7b3-2b25-4d09-a225-411f0792589c · outbound

This paper cites 2.1.7 above.

Causality in the human niche: lessons for machine learning 2.1.7 above

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:06:50.433357Z

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=pdf_text observed=2026-08-07T04:06:48.486729Z digest=sha256:5082da4f4d2a2a8e4b353269dc52c6dd9f7d2672499a36d8c0115cce358078d2

Observation c9ed3cd6-e8f3-4848-b553-dbe206b82fdd · outbound

This paper cites 2.1.9 above.

Causality in the human niche: lessons for machine learning 2.1.9 above

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:06:50.235843Z

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=pdf_text observed=2026-08-07T04:06:48.548415Z digest=sha256:98c0ad64337676bf57a75dea9559369828e753451ecb88d3d8c84a424979e0a1

Observation afe7a582-f753-4eec-8e92-9dabd6ab83a1 · outbound

This paper cites For example, consider the various kinds of causal stories an object like abicyclecan participate in.

Causality in the human niche: lessons for machine learning For example, consider the various kinds of causal stories an object like abicyclecan participate in

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:06:50.055923Z

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=pdf_text observed=2026-08-07T04:06:48.606573Z digest=sha256:52729f9ade4feb52834f24c209a75f1d27e45e3732f0be8a2ef151b320f8bf13

Observation b2a55eed-093c-4edb-a4bf-daf57f76d43c · outbound

This paper cites Importantly, predictive power does not necessarily require a detailed mechanistic understanding.

Causality in the human niche: lessons for machine learning Importantly, predictive power does not necessarily require a detailed mechanistic understanding

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:06:49.879755Z

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=pdf_text observed=2026-08-07T04:06:48.698034Z digest=sha256:2c1a67d6476bb886c58862e763b43a6a679bf6fc08675fb9d5832414ce224e73

Observation 52125329-7df3-49d5-a97f-22cc1a30e634 · outbound

This paper cites Take Newton’s theory of gravity and Freud’s psychoanalytic theory as examples.

Causality in the human niche: lessons for machine learning Take Newton’s theory of gravity and Freud’s psychoanalytic theory as examples

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:06:49.722464Z

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=pdf_text observed=2026-08-07T04:06:48.751364Z digest=sha256:5f4ff73d6c7b0a75d8e7bcb1732ee732fcbd8e899589d6bb77b83fb6a6a97832

Observation 4e7f647d-b208-4d0e-a0a7-e86fff51ab52 · outbound

This paper cites theory of mind.

Causality in the human niche: lessons for machine learning theory of mind

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:06:49.548969Z

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=pdf_text observed=2026-08-07T04:06:48.868828Z digest=sha256:99afdbc976f13f562b5339835a14c334530ee809279a93272aeef4a63da14a9b

Observation 0218cc46-d329-4d5d-a518-dfe82e02fe93 · outbound

This paper cites Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search.

Causality in the human niche: lessons for machine learning Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:06:49.363802Z

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=pdf_text observed=2026-08-07T04:06:48.940379Z digest=sha256:47e186ea784c4f7b8edf797e8dee0318564519af72e10cf279683d54047810a7

Observation cecb2964-52fa-4eb2-baf3-8b38e4a49554 · outbound

This paper cites Bayesian Structure Learning with Generative Flow Networks.

Causality in the human niche: lessons for machine learning Bayesian Structure Learning with Generative Flow Networks

Reference 2020

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:06:49.214318Z

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=pdf_text observed=2026-08-07T04:06:49.024857Z digest=sha256:6a038bd474eedd6babbfefe685454b3b309f8b000e0e636e74d3fa11ab311eeb

Pith citing papers

Observation 0c2bcc88-c528-45f6-8930-d805d6bf6034 · inbound

Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem cites this paper.

Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem Causality in the human niche: lessons for machine learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:52:01.652369Z

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=pdf_text observed=2026-05-19T03:47:16.461463Z digest=sha256:d57c8be41351a24a499f3e031ecff6ee7e2dcde0438e8b0e2a73de80d4713f12