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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 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.145381Z digest=sha256:284706c4bc6405972ccca678a947584731b229df32c0f350761fc430008398ea

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.160059Z digest=sha256:005b95f0363bbea13574133ccc10857d3f83bce24cbe015f1740c5521d51a715

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.173855Z digest=sha256:c2d052fa0f5d8a2181ce9b15fb3fe869af5909f74e441fcd31015a3bce1af33c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.185558Z digest=sha256:926b5a17527ece44c3ecc00fac1c954afbda5d7eba4b1271e4ff758ce33b4d95

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.192293Z digest=sha256:68bc5f79c74ca1f1c068de8e28cd7762ef476bfedf080fefd19c2311e2dd9c69

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.204882Z digest=sha256:6335a6b519175ef9f8cd04067ed86606761cb17681f5b1a3715228993940457d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.215747Z digest=sha256:2558ae4d73bdc1bdbb2c4405e5031f64ccc0031bce4be889124691c354703b37

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.233377Z digest=sha256:d7c0a6bc1486378ad59b3c7ab731946c482dc370e0cee651ed277a636afb81aa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.253687Z digest=sha256:7d7ff591350a1b1b4069398c43a159fcbe833f097c15cb049f573a8d909cd10c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.259822Z digest=sha256:baac275984e639764c9b464ea6c34081b34ee2f0889df15614dfce08ac2feba3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.265916Z digest=sha256:db24d553bc6ab48de3fe3df6cee8e01c1bc5e3da6fcde035eb97d8b08aca48f5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.284596Z digest=sha256:032566d6fdfad76289545d4d479e00645a0b772b897e51fc8a6f3633f8deb60b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.292406Z digest=sha256:a6548a1a2934279cfeec4d2339d64867927159c53446e30bdc1310b5232ed659

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.308759Z digest=sha256:37b58b3a6f985121e64301b2c52d4982cce2ff68d96ff69bb8134340906c15c9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.324756Z digest=sha256:f018627a7af3750752b0a21ba4754530bfbc9c86d2ed769da32a4f33a01739ec

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.331866Z digest=sha256:17b86dacf3e26afc734fba53e30c5374480f5790e426ce14b1c5f2c216052c77

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.337869Z digest=sha256:c4b598a761c68be53455cda6c83744b033cec3e5fff6ad1609048d0622feb9a1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.366497Z digest=sha256:cf7590a77e471c87e3457d21d27dab1f2b24c6fc1b5f87bba9b6be6a2b10ec3a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.374740Z digest=sha256:025d8e310e5328aa8c02fed5045aef51b3f3b8c827dd233305c390e3e5ca225f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.383287Z digest=sha256:f94980382530a21f29bdd5cb34065e3b087db50f4cf06555314080b50b203f89

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.389930Z digest=sha256:50e22a5cd053a89465be1c13493a9a82318b62106f00066635567a303a6bbccb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.409342Z digest=sha256:efadfc19cb85532eef3171fda4d57515241c4f5d25218c1700e156927c4abc56

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.419697Z digest=sha256:7c787dfb21dc7a78d14e9fa22515ebd92b1ca44a982cc32a335ebe16c5c27afc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.429843Z digest=sha256:67b1a9f3d6d4249c5df3840ea8aaf1189d7dc467093360c84e738336fcc53e71

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.440091Z digest=sha256:318e137c6e393365c0f4a9429141cafaa2152584184b81eed7533e25202396fc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.448655Z digest=sha256:7ea47870ec569dd6bd365f8c9b9754f9bce6b13a54c116b72f624dbd830e1ad3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:27:51.455190Z digest=sha256:fb9ede0dcf57a2fbfbf9835871d9249a28d4bb8d610cbedfbccf0203a51500ec

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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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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metadata mismatch
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 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

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