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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 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.145381Z digest=sha256:4e11a1b7d5a83a0bc01018cd7061dcfeb2367549ae09211c3156cb1b53654efd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.160059Z digest=sha256:00cc88a9c5db64843550c94daba6f87046bb74794b7fb8af329f2878574352be

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.173855Z digest=sha256:f0457707cc15264a4886814e253a92787edbfa77c7b06f4f0be913203d385c31

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.185558Z digest=sha256:7441f11b0b507890ba59a115e9010dd86994cf7d13b47aa62103d463cd42ac37

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.192293Z digest=sha256:bd426e76ddc0d01e57680b092673031cd59e660c3cb9a720f543d1e92731e82f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.204882Z digest=sha256:be1cdfa730e810d92f79014c787c0d98bcda3d5a057327fcc7c2aa234f801e9d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.215747Z digest=sha256:15de581fd640193bb368984afc9921837ef37bae8af85448fb23003650ba825d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.233377Z digest=sha256:b9bcbd12181b0290a675a0103240a197af3270afed2bd0cb12745c52c9bffd8c

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:f39d376bbb5898cf2a3b27352cf2c0d3bcbfda58bd6c9ed7e39f537be81ecc0e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.253687Z digest=sha256:97104d6aa728bd399db7c80810f6277728333632d29b41bcf552f116669011a3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.259822Z digest=sha256:0d3f52f6872d10971d6b894d7ecf72e627a361d1dc98092cf248750633cbd759

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.265916Z digest=sha256:c512f5ef85eca0b04086f4be57a643e6f88082afaff6fd793abbe5e52a081407

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:a7be2f5491e407545eeb3052b2bfba34bf6304dbdfa11f5af00c7ba9b6f9834d

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:ad6c38f1f53937fa9a13134df1b0fb39e3c14a29af0b7096ad1f06cc3b872fcf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.284596Z digest=sha256:95f2f7ba26c2cfd78cdd520688813a9d4d642a4f63903c180c2d1e2bde203707

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.292406Z digest=sha256:5bd0be6ff370af7b6551861fc3ff04940cdfcab6379cad737984ab93478bd29d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.308759Z digest=sha256:c1d212aa1eeb62e4e6bdd2240d8f7866c46974fdd68a227462efe35988eb858f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.324756Z digest=sha256:d7209ee640781ae9d328667f315355b1f7f755a36c097db34b06dad1b6d3aca7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.331866Z digest=sha256:7851deb2f3ff2a8790d5b18ba14727419b113f4318495cb41efd2cc432bfd5b0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.337869Z digest=sha256:43bad78e9b423b51ceef5dd1c8aced64afdfd76d450f8383a0e0d3ea63443b8f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.366497Z digest=sha256:bda7a58a1791f742bfdf4d9eda7022bd4b2e26e8927365d537279395d7d4fbd8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.374740Z digest=sha256:0fac76ba7c48741a38e4ac91bf43f02adb9cabfcc4bc6555cdab5ee81cfef0d6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.383287Z digest=sha256:2021f059ee286e12156961710f321c20dca8ac4a29bfe3a68dd3e4945aee6c81

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.389930Z digest=sha256:97f66ae8bd02d1925dde4628c940d1834575aa800b1c27410d5b8b55da99595d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.409342Z digest=sha256:cb3cff039cd767df719f5f9fd0f94a47bb89e9f65c3d65e3e2a71a6e12b5fc53

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.419697Z digest=sha256:90036fc50b8b09ffca90e1d9b5e7eadb7759dd3b5647669ac17e518eb5936445

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.429843Z digest=sha256:5c66bf4632a3d47314f098b253c174e117201e169b96860393035f2b738fbf2d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.440091Z digest=sha256:5325796465d590beb576240fabfda930d21d6d5ef0e863c78c00d7f678badf81

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.448655Z digest=sha256:faf53003516fbca341305affab2ad6de9983039480e1841f15efba746cd3e94a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:51.455190Z digest=sha256:c76039d3c60cb9ed3608b49450b5bd6d826b2f5b99eaa130334526424ab4440d

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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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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Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

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

Source-reported events for the cited work

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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

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