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Paper Citation Record · LEDGER

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective

As of 13 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2412.00554.

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

pith.paper-citation-record.v1
2412.00554 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:18:55.944088Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:11:44.891731Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation c26be430-db20-4fee-85be-77a0234b5d1c · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.716769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.716769Z digest=sha256:3b321d48248216e897064eadce80194d413ff200727a2e16877edeaef92861bc

Observation 24a5bb11-5fe1-4493-a142-5d3a987dc4d3 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.722117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.722117Z digest=sha256:a00076b009445bc40b651d0e27095c262080d4ed78f844df01965d0cfe7fb1f3

Observation 33a81f8f-6606-48b9-9007-da5eb83ae53d · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.726975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.726975Z digest=sha256:9f59dd63f352ad9878068c159cb5f2ee7d2ebcd9d174702dc65b6e9b767b1a9d

Observation 994be95f-0bcf-4db3-8998-1b34714f4560 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.724174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.732879Z digest=sha256:5bee31f1743d761cf96a94ba8ec78982ceb9891fc2d7e728a76e229f4d9ab3bf

Observation bd7138a6-6e01-4d3b-89d0-a9de634e6b7f · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.737382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.737382Z digest=sha256:7f3ad4520b827428d1a911da1b61c393634d49fddea60362217730a6e1d2a7fc

Observation bac67ad8-eb5b-422b-8e52-c41d5c220afe · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective QLoRA: Efficient Finetuning of Quantized LLMs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.741795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.741795Z digest=sha256:07b591d2ce723610ed1c619f37c87f1365dba48e83ae268157eb0623914d86af

Observation 303e331c-d024-4748-ab91-ce6cfaeb1f09 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.700815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.747029Z digest=sha256:71c6f0ea5893f0f06915338957933d124e0f0be0ca86831be74eb9f310fad4d8

Observation bca8138f-94c3-4fc3-8c79-95dfb7aaf6e3 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.686549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.751918Z digest=sha256:0d12ebdb6e4d08a9927fa554fa7c6be3d985859b96c220eed8028847106697ac

Observation 288f2c6c-6045-464a-9794-07a6034ed886 · outbound

This paper cites Bias and Fairness in Large Language Models: A Survey.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Bias and Fairness in Large Language Models: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.756959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.756959Z digest=sha256:6767259e0e2594b60f05f4a5bc7ca8eb5060ba3fb73deb86674c7af4bb880533

Observation baa44891-d9ac-44ce-866f-48d995adcaff · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.672136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.762477Z digest=sha256:f3b413e26e844813774cbae975cfe5487a5fcb56919d215ea1afcd433bc022ae

Observation de1075ad-7c0f-45f1-8975-d4c9cb75e2c2 · outbound

This paper cites A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.767598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.767598Z digest=sha256:e95afef2784d4fad41c4fdd9cedc46c3bb451a4cf612541522524b167015a812

Observation e2736449-3a44-4c55-936a-a3977c0ae5ed · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.773149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.773149Z digest=sha256:c74ca22b397550d8bddafb61e1225ef5cea287d966715fb40e537426ec4481f2

Observation 3a58c91f-847f-4afa-b11e-5f8757889fb7 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.777738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.777738Z digest=sha256:cecb849fa99806f21cd385d9e02a6e5e64c4bbcbdfaf9a0e6a8fc0862c3f8a37

Observation 40ba700b-be26-4624-9e62-0e4277fcc19e · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.781932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.781932Z digest=sha256:fd20764a11cd31fbaf14de48af8a270e625983f0e7a0ea5ccf780c972aa7b64f

Observation a4e864e5-78f2-4b8d-b729-5f240a25860b · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.649052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.786387Z digest=sha256:6aa4bce91278d4f71e00922822d9e538587aceb10d1870a3f2ce409c8e68431d

Observation 65d91b3d-b736-45f9-ac9e-f922e60361fe · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Large Language Models are Zero-Shot Reasoners

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.791317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.791317Z digest=sha256:fc369ebb90bc64e68e2da19bb5dcf83cac427430b6d8ad46f23a510198e1fe80

Observation d1c547d5-5873-4668-be93-ebf80eb13cf7 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.633843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.795795Z digest=sha256:b9d71f62adb07971bc6e7e4a1a09a4334bfe8e85404a96d4d5f21c859a0c592d

Observation db35493a-9eb3-40c2-939d-12110649446d · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.619330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.800952Z digest=sha256:98144f86f70ec04ac23546a100788886e447ecd4549b08697eed390d08904f16

Observation 1ea7f5bf-f063-4d46-a972-3433b73316b9 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.605168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.805762Z digest=sha256:8d368121e3689a83ea26957439051601b15d565ecbde24fe8ef1eccaae337ba1

Observation 33d99f40-47cc-4c61-aea0-6812515a4d73 · outbound

This paper cites Holistic Evaluation of Language Models.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Holistic Evaluation of Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.812296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.812296Z digest=sha256:1b69258cbba34d39ec34516a1a94f9c1fac14c57344b130bc98222eb810a4315

Observation 1fab40d1-3c53-4edd-af39-bc2a233f10b7 · outbound

This paper cites Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.816962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.816962Z digest=sha256:201b0177949d082cd46b14a931cd2c3831ebbc5c138e71dcd1864e2c4e5ed753

Observation b8ee55aa-f2cc-4dd4-8b89-1309c4cd91cb · outbound

This paper cites LLMs in Biomedicine: A study on clinical Named Entity Recognition.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective LLMs in Biomedicine: A study on clinical Named Entity Recognition

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.821795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.821795Z digest=sha256:5c067cc3cf9d57976f274411e9ef307083d4167e021ef548af940e05336c7e61

Observation 0c00b1d5-b867-4a45-b934-e73204fec4a7 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.589186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.827121Z digest=sha256:62d0c0cc1037e1af7c9df6a11c8f77fed3d854e683909e5c03092ba32c5d8386

Observation 8c9d2f51-be26-4f0b-9325-12d2c5bb69ec · outbound

This paper cites GPT-4 Technical Report.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective GPT-4 Technical Report

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.831561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.831561Z digest=sha256:5f3f50a3544625f5143509dcb1a0ff087da4027a3465d029453d5f4508513e0e

Observation 3a588122-c526-4ea4-b6d9-694a44f7084d · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.571754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.836105Z digest=sha256:f01490c3392d33d647eb3fa69f75e6e4842f89650ad22ee35f18614e47f2589f

Observation 201ab240-02f7-4568-9a88-6ce3b886e385 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.840566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.840566Z digest=sha256:5c717d306f2529e5249cdc8a833fb59b31fde6d3db7013944e125ad1e181d68b

Observation 9dc629ec-f4cb-46c5-83ce-314d12ab8746 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.845697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.845697Z digest=sha256:d2492207c6f488de81308ab8622520e35abe1256ae840117cab1dc568efa3c1e

Observation 3a1baf6f-b809-431f-ae3f-4001de8cd57e · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.850959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.850959Z digest=sha256:22cc4ef66320c9636d540ef5e2bebdaab11541e90210311cb9a15bfe408c1350

Observation 7e296b50-4550-4b4e-b594-446a4b0991c2 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.557061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.855459Z digest=sha256:f96fdd4d0d9949386262c90be0f457661e908a9604373365e227f3dac805a693

Observation 7deda233-df3b-4ee0-841e-cabd40e61e63 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Towards Expert-Level Medical Question Answering with Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.860755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.860755Z digest=sha256:2931082055cac70cdfea3a630bf0575f3a342e3bb79f93fe48b46d0584c606dc

Observation 751c1c1c-7dd9-45a7-a7fe-15e1979654ab · outbound

This paper cites Brown, et al.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Brown, et al

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:18:56.542807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.866221Z digest=sha256:c950d1be38825ec2c294c365ef19680ed9b782de45fb8d388a6dc00ef90f7964

Observation 8bc098db-300e-4901-b6dc-4a3f9ab5fa73 · outbound

This paper cites TrustLLM: Trustworthiness in Large Language Models.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective TrustLLM: Trustworthiness in Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.870863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.870863Z digest=sha256:6ecee46cf7e8f3266896a6323118c2d575345b1e0bf7e569068785281ddf6147

Observation 528da8da-9215-43f5-9b4c-2810415d2049 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.875819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.875819Z digest=sha256:26e503fa4b28720be1bc7cc27c5cba95e02a5324c9b250d13c93613ab442fd59

Observation 55b30acb-b6c2-4120-a2ad-d4f0a7e3c0c4 · outbound

This paper cites DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.880326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.880326Z digest=sha256:02e2bf398f3544156049d2faa8441ace4e91e52e33c659cbab5582919ad0481f

Observation bbe685d0-12bf-4649-887f-ab005a1b8a4c · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.885068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.885068Z digest=sha256:d8427e247306355f90b02311e3b6b58b04e1c1c083b5b9f53bd782c089499447

Observation c532368c-e304-4364-8673-cca9a917ceae · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.889628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.889628Z digest=sha256:b4dd273785ccbdda7c01197bb562afafa82afaec22b0570cee0c781a7bc67993

Observation 0cb4048d-458a-4e47-b157-bc5c14a0ecd7 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.528369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.894435Z digest=sha256:0e3737cd11b3b39292e5f25b24acfb787ec10c228eb0afe027f638949e7a333f

Observation 38b07c40-592e-44fd-aedd-89e7ef6b50dc · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.514022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.899478Z digest=sha256:620c1848fe85509b54d54b2bf2621536794d1a1a6e6128f2b7105db62b75dfcf

Observation c8913a30-bd00-40f2-92dd-3319f1ffda77 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.903721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.903721Z digest=sha256:2d1f74048cac26883c98588f603469e89cb2f9f623199a130ef0f39c021f91ce

Observation 4160762c-9f61-422c-b348-0b241795e2f3 · outbound

This paper cites Ethical and social risks of harm from Language Models.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Ethical and social risks of harm from Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.908709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.908709Z digest=sha256:45dfd12dc7cc7d6504cd321be5d2be4dcef18426fe9e7037c328f1cfccaf88ad

Observation 96c2dec1-68e5-4dcf-a277-f2361df351be · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective ReAct: Synergizing Reasoning and Acting in Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.913408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.913408Z digest=sha256:8ad489236b9043bfd768a23e313c62014a61ce533bb046953601d4976f7c9148

Observation 31e97ac9-bbc0-4f9a-ac32-52324621c16e · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.489799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.918320Z digest=sha256:3810548b2019c6370a28e4379ad3010f5b733a379c46677beaec94368b305d49

Observation f6bff583-f63f-4905-b438-b56082b0a666 · outbound

This paper cites A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective A Survey of Large Language Models in Medicine: Progress, Application, and Challenge

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.923944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.923944Z digest=sha256:4ee1e01e641d81e7c205dd97c8460dc31da7ba430016d496eef60e3d8a7bf246

Observation 1c3c4327-aca9-45bb-8da3-bbaeb04752ff · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:18:56.474066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.929580Z digest=sha256:79db00a99686f9ca8367cd11de000579d5e372926968993bcac816e8ee89721b

Observation a0cede95-1bca-4f02-9b4a-022bb80c4348 · outbound

This paper cites an unresolved cited work.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.933949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.933949Z digest=sha256:8c493568405c454cdb23fbe989dbe04a0679ede76bb5afc725f3d902ae6ad39b

Observation 819d7c49-c7ba-462c-a092-ede9f578d06c · outbound

This paper cites online" 'onlinestring :=.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective online" 'onlinestring :=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.938848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.938848Z digest=sha256:33126ffed6ca7033969dd9d84c3908100ab61f3bd65c29e4a52cae3fbe999c12

Observation 7360c0d4-3e6e-4df1-a4f3-984cb144537e · outbound

This paper cites write newline.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective write newline

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T05:18:55.944088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.944088Z digest=sha256:9ab7f10aeb4dba6fb8e4590cec877f081770cd900cbfbb6afff7f1eb12295088

Pith citing papers

Observation 2d048ed7-a665-41ea-8796-92c83ad9e7d3 · inbound

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents cites this paper.

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective

Reference 294

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:15:05.604276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-30T22:11:44.891731Z digest=sha256:12e26b38859286c9fb19522bd19104bc4b113ae07454d5d02f635801145128a0