Paper Citation Record · LEDGER

Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2112.04554.

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

pith.paper-citation-record.v1
2112.04554 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:17:56.840782Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:49:24.744665Z

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 5874cb66-9520-40a8-b9c3-81b4ff8ab710 · inbound

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget cites this paper.

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:53:54.013827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc6c4e04-1ae8-4913-a048-3f52f33a9309 · inbound

A Critical Field Guide for Working with Machine Learning Datasets cites this paper.

A Critical Field Guide for Working with Machine Learning Datasets Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T14:17:56.840782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f16e527d-4370-49e2-b9d5-b7068e69f952 · inbound

Characterizing Network Structure of Anti-Trans Actors on TikTok cites this paper.

Characterizing Network Structure of Anti-Trans Actors on TikTok Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T12:52:40.280218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ddf16a9-eea6-490b-8c0c-5bc1f92a3ef5 · inbound

The Human Labour of Data Work: Capturing Cultural Diversity through World Wide Dishes cites this paper.

The Human Labour of Data Work: Capturing Cultural Diversity through World Wide Dishes Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T17:16:18.589622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef4ae2d3-7323-4c38-9663-c45e7b67c2b3 · inbound

On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs cites this paper.

On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:17:34.911012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e31f8a-c385-4618-b64b-1890a2011f5c · inbound

The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation cites this paper.

The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:10:39.839295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc935992-316a-4cfc-9dfd-f52c61a04f22 · inbound

IYKYK (But AI Doesn't): Automated Content Moderation Does Not Capture Communities' Heterogeneous Attitudes Towards Reclaimed Language cites this paper.

IYKYK (But AI Doesn't): Automated Content Moderation Does Not Capture Communities' Heterogeneous Attitudes Towards Reclaimed Language Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:22:37.106297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e331b183-2ac9-46aa-b923-bcd7729a13b6 · inbound

Beyond Single Ground Truth: Reference Monism as Epistemic Injustice in ASR Evaluation cites this paper.

Beyond Single Ground Truth: Reference Monism as Epistemic Injustice in ASR Evaluation Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:31:00.104612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2074b05a-c483-4df7-984a-800a7d724bee · inbound

Beyond Majority Voting: Agreement-Based Clustering to Model Annotator Perspectives in Subjective NLP Tasks cites this paper.

Beyond Majority Voting: Agreement-Based Clustering to Model Annotator Perspectives in Subjective NLP Tasks Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:21:24.632151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd7ff815-af94-43a5-8a65-e314e0f0ebbf · inbound

The Market in the Model: Latent Diffusion as Neural Economy cites this paper.

The Market in the Model: Latent Diffusion as Neural Economy Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.746179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11a71cce-f802-434a-8597-3f3ab262eeae · inbound

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins cites this paper.

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T07:44:05.410511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.