Paper Citation Record · LEDGER

Can Large Language Models Capture Dissenting Human Voices?

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.13788.

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

pith.paper-citation-record.v1
2305.13788 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:31:54.570838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:11:08.739604Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0c6c21ba-94b9-4f66-86b2-b5cc47200d4c · inbound

SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment cites this paper.

SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment Can Large Language Models Capture Dissenting Human Voices?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:31:54.570838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be26943-f8c2-421c-884b-dba5cd61f4c9 · inbound

The Science of Evaluating Foundation Models cites this paper.

The Science of Evaluating Foundation Models Can Large Language Models Capture Dissenting Human Voices?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:42.737130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c14acccf-6397-4c8d-b0ab-9ba371bf9792 · inbound

Modeling Human Perspectives with Socio-Demographic Representations cites this paper.

Modeling Human Perspectives with Socio-Demographic Representations Can Large Language Models Capture Dissenting Human Voices?

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:11:20.857922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d311c6e3-0f33-4056-a6b8-da97bdf74d83 · inbound

Quantifying and Predicting Disagreement in Graded Human Ratings cites this paper.

Quantifying and Predicting Disagreement in Graded Human Ratings Can Large Language Models Capture Dissenting Human Voices?

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:11:08.757356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.