Paper Citation Record · LEDGER

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:2508.16748.

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

pith.paper-citation-record.v1
2508.16748 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:18:08.186960Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:38:29.603111Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:16:12.338840Z

Reference resolution

13 of 13 outbound references displayed

verified exact1
verified fuzzy8
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc6ed490-2640-48a0-9159-424189b432cf · outbound

This paper cites Includes a conceptual outline and/or pseudocode de- scription of AI methods introduced (yes/partial/no/NA) yes 1.2.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Includes a conceptual outline and/or pseudocode de- scription of AI methods introduced (yes/partial/no/NA) yes 1.2

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:09.725535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5aa88699-14fa-493b-8aed-8dc6dc95c36d · outbound

This paper cites Does this paper make theoretical contributions? (yes/no) no If yes, please address the following points: 2.2.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Does this paper make theoretical contributions? (yes/no) no If yes, please address the following points: 2.2

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:09.562803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95d5f502-d69c-44bf-941a-7533855c9985 · outbound

This paper cites Does this paper rely on one or more datasets? (yes/no) yes If yes, please address the following points: 3.2.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Does this paper rely on one or more datasets? (yes/no) yes If yes, please address the following points: 3.2

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:09.381797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bdbd1d66-3918-43a1-b7d6-7f637bbb169e · outbound

This paper cites Does this paper include computational experiments? (yes/no) yes If yes, please address the following points: 4.2.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Does this paper include computational experiments? (yes/no) yes If yes, please address the following points: 4.2

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:09.224231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation debccf15-16e5-451f-a25f-f12efeb2f9da · outbound

This paper cites Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:07.468327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca1f11c-cb44-4b50-9bc2-a442d35ce64c · outbound

This paper cites Bias and Fairness on Multimodal Emotion Detection Algorithms.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Bias and Fairness on Multimodal Emotion Detection Algorithms

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T17:18:08.464109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18a27412-d129-48dd-9fde-992725b9ab69 · outbound

This paper cites Type your response here.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Type your response here

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:09.864653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 420052df-fa36-4f8d-aa59-9ff8ba0feb69 · outbound

This paper cites Use your words.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Use your words

Reference 283

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:09.996058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f49f365-6e67-4657-a841-740a734b164b · outbound

This paper cites In (BigMM), 166–173.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction In (BigMM), 166–173

Reference 2020

Resolution: verified exact; raw_fallback, observed 2026-08-05T17:18:09.072287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45c82095-c03a-4af3-9dba-ee715df62cc1 · outbound

This paper cites arXiv preprint.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction arXiv preprint

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:10.273489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f339d6a-6015-4413-9026-eca16a07115d · outbound

This paper cites In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 1464–1474.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 1464–1474

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:18:10.095096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5d9081a-af17-4dd3-8ff1-86d7e5b3cb31 · outbound

This paper cites LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild

Reference 2025

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T17:18:08.727894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb3c695d-7f84-4422-ba82-f0e1ea89d6d3 · outbound

This paper cites CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models

Reference 5940

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:07.205548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 78ed3075-01fc-457f-879d-f30e2583fa1d · inbound

EQPO: Equitable Group Relative Policy Optimization for Clinical Reasoning cites this paper.

EQPO: Equitable Group Relative Policy Optimization for Clinical Reasoning FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T08:38:29.603111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae64480-90e9-4e9f-94ed-b18285ead4e7 · inbound

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment cites this paper.

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:12.348126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eac11518-0fa5-4a90-a512-2b4b16a98d5a · inbound

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment cites this paper.

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T15:32:58.011421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.