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Paper Citation Record · LEDGER

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2506.18116.

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

pith.paper-citation-record.v1
2506.18116 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:27:51.489404Z

measured 35 of 35 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T23:44:08.610255Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:01:06.644979Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved9
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2723c39c-56ad-444a-845c-fa32fcd98ec6 · outbound

This paper cites medRxiv (2024).https: //doi.org/10.1101/2024.10.29.24316368, https://www.medrxiv.org/ content/10.1101/2024.10.29.24316368v1.full, preprint.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives medRxiv (2024).https: //doi.org/10.1101/2024.10.29.24316368, https://www.medrxiv.org/ content/10.1101/2024.10.29.24316368v1.full, preprint

Reference 1

Resolution
verified exact
doi, observed 2026-08-06T23:27:51.573312Z

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.

source=pdf_text observed=2026-08-06T23:27:51.145381Z digest=sha256:1703b3a2c4ac6a9196be8a31d1602105deeb1d160eb085a1250099d54d2e3326

Observation ade9c613-9535-48eb-b9d8-8f055ef02c35 · outbound

This paper cites npj Digital Medicine (2025),https://www.nature.com/articles/s41746-025-01746-4.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives npj Digital Medicine (2025),https://www.nature.com/articles/s41746-025-01746-4

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:54.249736Z

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.

source=pdf_text observed=2026-08-06T23:27:51.160059Z digest=sha256:e3d2bcd363a1771c2a9d2cf69e88a4e9135d8df57678136e452d0488b657f6d5

Observation bd6b758e-5237-42f5-937e-05f4807cc3d9 · outbound

This paper cites an unresolved cited work.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:27:54.106867Z

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.

source=pdf_text observed=2026-08-06T23:27:51.173855Z digest=sha256:3ef9131a5489d4e1c5ac048e3e0ac9414e6909d4950390bc095b2a0c8c128d44

Observation 0685bb56-02c1-41f5-bf98-cd40c2bba0f8 · outbound

This paper cites an unresolved cited work.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:27:53.953232Z

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.

source=pdf_text observed=2026-08-06T23:27:51.185558Z digest=sha256:cd6d238732ebeb5a8f43291eace9af47fbc5177d267ac3b3248aa64a3a2c2c3e

Observation 2ebbb139-5ddf-4628-83d0-88f74afda5d0 · outbound

This paper cites In: First Conference on Language Modeling.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives In: First Conference on Language Modeling

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:53.804845Z

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.

source=pdf_text observed=2026-08-06T23:27:51.192293Z digest=sha256:c7c00c3b0f4b21d92213fa8b88c8549b12bc91c033b6091b24a28b3b39118f96

Observation 069917d2-0261-4d91-9535-63a66748c4f7 · outbound

This paper cites an unresolved cited work.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:27:53.619234Z

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.

source=pdf_text observed=2026-08-06T23:27:51.204882Z digest=sha256:c2647992ed9c58654795f05d1f5dcd5487a4222378bede49d2cf5e69341751ba

Observation c7391626-d960-451f-aa3c-92ba0fe51b11 · outbound

This paper cites https://deepmind.google/technologies/gemma/ (2025), official model announcement with fine-tuning and safety details.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives https://deepmind.google/technologies/gemma/ (2025), official model announcement with fine-tuning and safety details

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:53.413978Z

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.

source=pdf_text observed=2026-08-06T23:27:51.215747Z digest=sha256:32bf9a847b7ef1cf7734b3cec1a63798a71b7db03e1acf068c1a9f008fde8b96

Observation 14faaaeb-c1c5-41b0-b5fc-66b9d3853e63 · outbound

This paper cites Minds and machines28, 689–707 (2018).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Minds and machines28, 689–707 (2018)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:53.186387Z

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.

source=pdf_text observed=2026-08-06T23:27:51.233377Z digest=sha256:14bb930fd944e83dda19ba915f457dcd86956068cc1e49bcd9cf24f388d4d96f

Observation 269ae5f9-47ad-463e-8650-8d675870c134 · outbound

This paper cites Computational Lin- guistics50(3), 1097–1179 (2024).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Computational Lin- guistics50(3), 1097–1179 (2024)

Reference 9

Resolution
malformed identifier
no resolver link, observed 2026-08-06T23:27:51.247484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:51.247484Z digest=sha256:adaa5f892cd32eeca0d916a1b7d06f966a39edf7bb764b51b455479c61073640

Observation f7189040-9588-492c-b417-0ff7d38b0e16 · outbound

This paper cites IEEE Internet Computing26(4), 5–11 (2022).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives IEEE Internet Computing26(4), 5–11 (2022)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.860469Z

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.

source=pdf_text observed=2026-08-06T23:27:51.253687Z digest=sha256:144576993505027530fb984ed1ad6680cfc95e706f5472e701f52d50664ce3eb

Observation f566ba3c-6276-4d4a-a7f1-aeadab027746 · outbound

This paper cites AI Magazine45(1), 139–155 (2024).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives AI Magazine45(1), 139–155 (2024)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.764757Z

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.

source=pdf_text observed=2026-08-06T23:27:51.259822Z digest=sha256:4888b1f234484117bedf99f3e36f24da388c2d6157f6841c4046b716b57252d4

Observation 896bc0c4-7a06-4daf-9547-5dd170cfce24 · outbound

This paper cites in armed conflict.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives in armed conflict

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.658022Z

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.

source=pdf_text observed=2026-08-06T23:27:51.265916Z digest=sha256:426d5887bd6ed0f9f74d62bd59baf6df8a4690eb7d39d5c63843b8fd6e99c250

Observation e92b9b78-58b7-4e01-b030-a5aa19fda623 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:51.272101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:51.272101Z digest=sha256:84fba5d8a2509e6d756fa7b4397091427fb576fa6caf45292802a224ebda75fe

Observation f70d22c9-aea2-4a36-8890-b8dc1c1b4d7f · outbound

This paper cites Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:51.278122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:51.278122Z digest=sha256:53014cbcf498b0771cc1de70bc849b0cf6bc859d6bcf91abd53ec62f373efdfe

Observation be0c16cf-6a76-47f3-b684-dd22776f3011 · outbound

This paper cites ai21.com/blog/jamba-1-5-long-context-low-latency-open-source (2024), blog post discussing Jamba 1.5’s 256K token performance.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives ai21.com/blog/jamba-1-5-long-context-low-latency-open-source (2024), blog post discussing Jamba 1.5’s 256K token performance

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.524746Z

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.

source=pdf_text observed=2026-08-06T23:27:51.284596Z digest=sha256:96b458776e54ca5bca056bdda12eb1e9e86d143b67d96813956b4faa41bb89fb

Observation 13128192-2c0b-491f-abb8-19a785f8fa68 · outbound

This paper cites https://doi.org/10.2196/ 59479,https://mental.jmir.org/2024/1/e59479.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives https://doi.org/10.2196/ 59479,https://mental.jmir.org/2024/1/e59479

Reference 16

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T23:27:52.454744Z

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.

source=pdf_text observed=2026-08-06T23:27:51.292406Z digest=sha256:3dfac6655779c8c36c9c108c481ea0eaa7299bcda16b0c9c9a95c91826806e9e

Observation f586f295-59ee-4bf4-8061-211353666a2e · outbound

This paper cites Proceedings of the 2022 ACM Conference on Health, Inference, and Learning (CHIL) (2022).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Proceedings of the 2022 ACM Conference on Health, Inference, and Learning (CHIL) (2022)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.383943Z

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.

source=pdf_text observed=2026-08-06T23:27:51.308759Z digest=sha256:14e5e6a4f4c1cf4a8fe97b96c452c8c9de0f721a959685fa6d1fe7fbd582bdd6

Observation 0037d239-9d6f-490f-9f7e-9da724b079f9 · outbound

This paper cites Papers with Code (2024),https://paperswithcode.com/task/ multi-hop-question-answering/latest, accessed June 2025.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Papers with Code (2024),https://paperswithcode.com/task/ multi-hop-question-answering/latest, accessed June 2025

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.351315Z

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.

source=pdf_text observed=2026-08-06T23:27:51.324756Z digest=sha256:63022278cf133643c4031c72534634d9dae9e854396608b02a3c9de1febc82cf

Observation 1a9d6933-1fa7-4d23-a8e5-5c20c66d2a74 · outbound

This paper cites CHI Conference on Human Factors in Computing Systems Extended Abstracts (2021).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives CHI Conference on Human Factors in Computing Systems Extended Abstracts (2021)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.328859Z

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.

source=pdf_text observed=2026-08-06T23:27:51.331866Z digest=sha256:bda5dd82d42ad6858234a53bbc757612bb0ad11f4e494cf1aaf683b420e6bf84

Observation a16e65eb-ea95-4f42-8f96-126623159309 · outbound

This paper cites arXiv preprint arXiv:2504.06160 (2025).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives arXiv preprint arXiv:2504.06160 (2025)

Reference 20

Resolution
verified exact
raw_fallback, observed 2026-08-06T23:27:51.999003Z

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.

source=pdf_text observed=2026-08-06T23:27:51.337869Z digest=sha256:4877eebbaf003156bb28f984e89c015bf2c9080d41cf8f9ea598c58b162d26f3

Observation 1bb32e31-5f3e-4b0e-93d6-8ea57f0a054a · outbound

This paper cites Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:27:51.863102Z

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.

source=pdf_text observed=2026-08-06T23:27:51.366497Z digest=sha256:abb84cb2c856bb6f4036d22df9d2c5c89757a4bc3d20d3a1ed5417dab80902e5

Observation a3d3303d-44da-41b4-8769-6ff7948bb0bc · outbound

This paper cites In: Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives In: Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.296353Z

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.

source=pdf_text observed=2026-08-06T23:27:51.374740Z digest=sha256:5ad84f7f243d8f47f4cf7ee2c61b376564d39aacce5c9d6920f961496546b8f8

Observation 007ce998-7edf-41a2-b628-a5e70efd1a8b · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL 2022.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives In: Findings of the Association for Computational Linguistics: ACL 2022

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.264309Z

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.

source=pdf_text observed=2026-08-06T23:27:51.383287Z digest=sha256:1209268836457cc6b3118a05f8c825dc98973e2b300d86cd885033eca1e8eee9

Observation b0df3a80-57e7-4bb8-86a3-233d0572cced · outbound

This paper cites Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:27:51.823702Z

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.

source=pdf_text observed=2026-08-06T23:27:51.389930Z digest=sha256:cf236689edeae9bf01f94996c25f5112b79edcb596565680514588abb91b62ed

Observation e2d3df70-2d0e-4f37-aa0f-af887e80bb10 · outbound

This paper cites First Monday (2023) Bias Elicitation and Debiasing in Mental Health 19.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives First Monday (2023) Bias Elicitation and Debiasing in Mental Health 19

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.235726Z

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.

source=pdf_text observed=2026-08-06T23:27:51.409342Z digest=sha256:134837c25f3d3b8c87497ee7be3a30a494f2dc804d97a3e3004b7bcf78982bce

Observation 99e0f092-1640-493d-992c-e76e916a0205 · outbound

This paper cites an unresolved cited work.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:27:52.208720Z

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.

source=pdf_text observed=2026-08-06T23:27:51.419697Z digest=sha256:3ef34ec2011472aea9308db6c10d2ab34f169adfffbc16865fa85905210c201a

Observation a8558b90-f3f5-4860-b2f1-132f6531d3dd · outbound

This paper cites an unresolved cited work.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:27:52.172380Z

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.

source=pdf_text observed=2026-08-06T23:27:51.429843Z digest=sha256:10e7b92846cd2ffd5610b3afd65bd60c915e910e2e2a1093a42887182189a2ba

Observation bd586515-aacf-47ce-bc61-0ada48c1e496 · outbound

This paper cites Frontiers in Artificial Intelligence6, 1229805 (2023).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Frontiers in Artificial Intelligence6, 1229805 (2023)

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.134750Z

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.

source=pdf_text observed=2026-08-06T23:27:51.440091Z digest=sha256:9c52ec9223ead2233a6224bb618383a5965f4d436648917eed3235955e7acf0e

Observation bda3f2a8-dd5b-4907-9708-da867f77b089 · outbound

This paper cites ACM Conference on Fairness, Accountability, and Transparency (FAccT) (2021).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives ACM Conference on Fairness, Accountability, and Transparency (FAccT) (2021)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.106419Z

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.

source=pdf_text observed=2026-08-06T23:27:51.448655Z digest=sha256:27159ac411131e94aa834980cdb7f10abee229f69799f50cdd3b1b33a311f457

Observation 4966075d-2a48-4217-b82d-a1d59abf9c29 · outbound

This paper cites Journal of Medical Internet Research25(3), e45127 (2023).

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Journal of Medical Internet Research25(3), e45127 (2023)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:52.083226Z

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.

source=pdf_text observed=2026-08-06T23:27:51.455190Z digest=sha256:ce4e46b21234940c9f8703e84d757e11cb3acb8a109814182e7ca1e7b26377a9

Observation cbee9453-5974-4cef-845e-a1fbd38d84b7 · outbound

This paper cites Dreaddit: A Reddit Dataset for Stress Analysis in Social Media.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Dreaddit: A Reddit Dataset for Stress Analysis in Social Media

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:51.461639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cc54d289-b0fe-47c8-92f3-f7353fe2593e · outbound

This paper cites In: Proceedings of the ACM Web Conference 2024.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives In: Proceedings of the ACM Web Conference 2024

Reference 33

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unresolved
no resolver link, observed 2026-08-06T23:27:51.474448Z

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Unavailable: canonical work link unavailable.

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Observation 7c9fa34b-faf7-49d0-8ed3-358f76aea1e2 · outbound

This paper cites A criterion for Lie algebroid connections on a compact Riemann surface.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives A criterion for Lie algebroid connections on a compact Riemann surface

Reference 34

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local_arxiv, observed 2026-08-06T23:27:51.615644Z

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.

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Observation bd191e48-0cca-4adb-a11f-c919bae5a514 · outbound

This paper cites Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models.

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models

Reference 35

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metadata mismatch
local_arxiv, observed 2026-08-06T23:27:51.750878Z

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

source=pdf_text observed=2026-08-06T23:27:51.489404Z digest=sha256:dd76a95df6d4f79c7d4b59fd973b2d9e0ee92b06e8b0843c4414627d04244322

Pith citing papers

Observation 73dc3ade-28bf-495d-9b02-088cf6056679 · inbound

Intersectional Fairness in Large Language Models cites this paper.

Intersectional Fairness in Large Language Models Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives

Reference 11

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verified exact
arxiv_id, observed 2026-05-11T14:01:06.648153Z

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.

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