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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 19 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 2026-08-18T06:34:40.430872+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:af8a8ded3f49c00c015644d7bdaa7b663151cc1a9f8cb319d1852406c809cda5

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:d47af78d93cdab5bd0c8a13e6aa7433a4e4f3c5f7a6c965f0321cb1aaf51c49d

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=sha256:0ce1f6318f62a9d23d06deaf388b3e31df37407db217ec65c59046bb3525e76c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.732879Z digest=sha256:378b62eafb01e7958e15167a1562b75142119278ffc4d15555001c941ed71a6b

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=sha256:6874efa5abd859acd8bd98ae8aa3f11af5524ad42899f7394dcf650a493f2ccc

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=sha256:109d9b36e208b00a008466054885af8a034eee7786c5ba87bed403189f97e4d5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.747029Z digest=sha256:45ee1177864dba80e9dd7e343cf68e156634835951df723862fa8d5b7393178d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.751918Z digest=sha256:7344c7e99f5d06983b57488bd8ee3ad54869bfe9c9adccecde7f0617ec6bf192

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=sha256:87e35d9aff9d765084bf0fc9ea8cf30fb06a2bdbe13038ad89208c9e7fac0ae6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.762477Z digest=sha256:0438ad219a72add35c8dc41d1d1292cd2798ba13dbce2d435ed99f2d35d2df7f

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=sha256:967fedce79fcfd7f520416cfcd1eb22c4bea43ef30ab8423749222ba9df51724

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=sha256:84f1ebcf3a0062a7b31269682c2d975f913378bc4ff4bdb5529458e163d9e9d9

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:ac6c6753bf1bf36f2a631b3fe59c53a7c64cbe37f956ade4edc6822ad48788cc

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:ae9031bbcc178cb5f6d538796ca3ff6417f832198fa2d656a9cabeb98038682d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.786387Z digest=sha256:0f6c3b50a4ba4fff1194b70fd38f56c5cc38e6e34f193a6480339908424f5297

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=sha256:6227bb4788d3d3324c93d8beac6eddbc45a171cef0484b4615fe0fec38831700

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.795795Z digest=sha256:3e48ad5d4fe47e20a07c6424f81e1b0e6223a5dbd146d67200a3da2784d065b9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.800952Z digest=sha256:b55869a2544ecc66c64b9b15e641d1746ef6c9c42872baa401d72b4ca9ef9c29

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.805762Z digest=sha256:415de16cc9635de415a438a7873587e77fbafb1703fc3f643e24410368303a52

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=sha256:33e181913a0eaf55ea8ba8417b1796db03e15188cf6c19adf782f05b0816e7e5

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=sha256:195f0d2812c0cd7343fa85bf45e2d79c873b3442e49083e6227d51aa76d9477d

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:ca706a7ac9890e16d2aeabf1b695ee61c077fb7891e99716984e7d92beed4353

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.827121Z digest=sha256:8131ff4cebea2f1377fd0df1e4f2ee7b8f71671a52532103b08a31a76774803e

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=sha256:35f1b4918599ec651ca710afabc49809e825df9aa12ceaf793cf8d053751d790

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.836105Z digest=sha256:54d860912b99eb5f12331ec3dc54c2f30a6e202b075ef05136733c7dc3b539bb

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:d50eb6271c897eabae218ad8a7d97a9173c8033d6e76c6e65c698e32ba2404dc

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=sha256:75444a5c0e4a96c9d8c343626121f59242d354fb7e6ee9b6ad5bd0bad741e4be

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=sha256:3714eea67ff1bf1eb1aae6ebfbf37ca8501a5ba605a10fa2ec806a63ea3f8cf8

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.855459Z digest=sha256:74d1e58d302dbe4ef71295b302bef9eb49ea78a5ab65bc236752ff5782d5e6c2

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=sha256:811af0031ac84903f4402f5ad2d0fb052017775997c94944c6ed61ddc3d7043e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.866221Z digest=sha256:7511f39993bc030f8316714d81539b53e98fbb1ebec259da78f934f11de7fb22

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=sha256:11331c8c7e5d60330242c1be04cb36aa6ae0f353835b797ad3be5ce4db1e572a

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:ca8c59b51d30b5eae833327f9a26b42b059fc3db7170492ca75bf4ac3995bb84

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:d9b9a283075f2f993258053fefd31aa770205cd0e8708e8b3b3aaf87a5c7374a

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=sha256:1086ec0d69c7020fb4a2acf12591f7437d263745cf6495f01f5bc1fc6359b72e

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=sha256:38639be2b495f91a4138bede910df89e4ec46fd860f4155000a7be498f78b18d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.894435Z digest=sha256:398a8c03989dc6a33ab436fd183135dcb7ace56d17868920bfaa906708a34f15

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.899478Z digest=sha256:74d3a9a5e640b815579ee326d91075b6f3f3649793dcd32973ce77bc50763d0f

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=sha256:1342318fe0c6dc26af54eca3d8a2026ffd0ba7a3cc276b125f5fcffa42964adb

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=sha256:24c6c3c6b87403e679f71d51b49f3b20a4a480d282f510973def7ab3c853798f

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=sha256:6f20129dcf34c2f57e7c897320104ea4e6637b83593a6150876d524bcd2534bb

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.918320Z digest=sha256:efd7c783ae0521526720c21fc3387d5bd22655790ea8ae89577562be590dea39

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:ffcdac719932111107e88089ebff4806d121d32f93c40f5122b542ad457ce7df

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T05:18:55.929580Z digest=sha256:f71176477ce9e1df034e15cabc52a90524c3deb4e60ad76762942e80d1cd1d90

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:fb3d441be34290d73e6392078b099a71721fc0c15a2d9aef60e5909a9e3149c8

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:c1af76169289b76110225479463d8961971d5378bb82232332261c85ce667730

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=sha256:666a6f1b5e0e39f1ea0dccf511bf91030c044c7880a69ae34bc1a6d8aa378e1e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-30T22:11:44.891731Z digest=sha256:7556d3288dd730bdca7eb481dfeca49b548ddd0d7f83c0aaf3a5cff45f11f5bc