Paper Citation Record · LEDGER

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition

As of 18 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2508.08830.

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

pith.paper-citation-record.v1
2508.08830 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:28:23.284835Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

10 of 10 outbound references displayed

verified exact1
verified fuzzy4
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b948491e-4d18-4ffc-8b70-eacbe4efbb11 · outbound

This paper cites wisdom of crowds.

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition wisdom of crowds

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:28:25.814756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de79490c-1254-46a3-ac86-34d2e28eddfe · outbound

This paper cites Please pick the best possible answer that describes the emotion or mental state the person is experiencing from the following options.

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition Please pick the best possible answer that describes the emotion or mental state the person is experiencing from the following options

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:28:25.456970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5170e71e-003e-4d02-a530-59bdb8ff995a · outbound

This paper cites wisdom of crowds.

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition wisdom of crowds

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T21:28:24.774871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57fed57a-39cf-4b7a-8944-47b85202c081 · outbound

This paper cites an unresolved cited work.

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:28:24.436057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eba58627-de7c-425a-8252-12fe00129c2d · outbound

This paper cites Does the Whole Exceed Its Parts? The Effect of AI Explanations on Complementary Team Performance.

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition Does the Whole Exceed Its Parts? The Effect of AI Explanations on Complementary Team Performance

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:28:24.137753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f3307603-9bd8-429a-86cf-063f434b7658 · outbound

This paper cites How Do We Evaluate Facial Emotion Recognition?.

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition How Do We Evaluate Facial Emotion Recognition?

Reference 32

Resolution: verified exact; doi, observed 2026-08-05T21:28:23.516186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c7f5032-8e73-4dfd-b830-6a92e3a5c68f · outbound

This paper cites Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models.

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-05T21:28:23.284835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff4043a-cba3-4ec3-bf24-b10de5046944 · outbound

This paper cites Emotional Intelligence and Social Interaction.

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition Emotional Intelligence and Social Interaction

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-05T21:28:23.100593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfb10988-9893-4f93-bfbe-6cd9fe2187a0 · outbound

This paper cites Language Models Are Few-Shot Learners.

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition Language Models Are Few-Shot Learners

Reference 2020

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T21:28:23.947630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d32a8f0-052d-424e-873c-4c1688562a6d · outbound

This paper cites To account for the uneven sample sizes, we used mixed-effects models that adjust through partial pooling, allowing flexible group-size handling (Pinheiro and Bates, 2000).

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition To account for the uneven sample sizes, we used mixed-effects models that adjust through partial pooling, allowing flexible group-size handling (Pinheiro and Bates, 2000)

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:28:25.124747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.