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Paper Citation Record · LEDGER

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare

As of 22 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2504.17360.

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

pith.paper-citation-record.v1
2504.17360 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:45:16.318173Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb8db184-fc44-43d5-9f20-01a75bab02e2 · outbound

This paper cites Evolutionary Optimization of Model Merging Recipes.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Evolutionary Optimization of Model Merging Recipes

Reference 1

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no resolver link, observed 2026-08-16T10:45:16.141532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.141532Z digest=sha256:c3e7947b91ee97bd36e173b07241f43f4a89ed7480ce6b2912d3cd1f6f9e2315

Observation 29992b94-b889-49f2-ae3a-520203f25883 · outbound

This paper cites PaLM 2 Technical Report.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare PaLM 2 Technical Report

Reference 2

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no resolver link, observed 2026-08-16T10:45:16.145890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.145890Z digest=sha256:fe04b30d746202ba3f57ad656acfec2f345e651988501d578dc241ece3c6a273

Observation b1a54275-7f12-417e-ad7f-a088de456add · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-16T10:45:16.149718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.149718Z digest=sha256:abe2cc553b87d5b38f284fb03d30eaccec54031e1b2425939d9038f58c4d15c3

Observation 1a2a68a4-3254-4d57-b697-cd2c7364734b · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-16T10:45:16.153152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.153152Z digest=sha256:6f5326a5484b33c80af9028d93dafd2d12d7aa63e81e6d9c7900fa2c92ae6f5c

Observation 8e2dd3c6-ec6e-4faf-a64b-cbcc07e16bc3 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:16.950375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.156567Z digest=sha256:3b8ed1c9ba48e22ad80663498451488633959b8bc2bb4479054051abe67d07c1

Observation 89023a3a-8914-4b85-9cf2-150151fd2bb1 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:16.939392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.159826Z digest=sha256:ea9b10b3b982961e7eaaeaa3d27722e640e7342fd7d8f521ff07fb2139e9a623

Observation 9ac5e46b-ea9d-4b0b-a28c-710cd0d23239 · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Quantifying Memorization Across Neural Language Models

Reference 7

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unresolved
no resolver link, observed 2026-08-16T10:45:16.163243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.163243Z digest=sha256:7ce7727ebacf12111925948bee487a70672caa9d167269273f9365f09682b339

Observation ade126d7-9690-41c5-b341-b5f22d912c3c · outbound

This paper cites Brown, Dawn Xiaodong Song, \'U lfar Erlingsson, Alina Oprea, and Colin Raffel.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Brown, Dawn Xiaodong Song, \'U lfar Erlingsson, Alina Oprea, and Colin Raffel

Reference 8

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no resolver link, observed 2026-08-16T10:45:16.166814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.166814Z digest=sha256:ef81cc63ba2e5fc768c179e8c4e985f79473011076057010b7c12f30c033f2c5

Observation 729b3b3b-6778-4be2-8d25-e3b666059446 · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 9

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no resolver link, observed 2026-08-16T10:45:16.170218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.170218Z digest=sha256:7e86d1aaa120934726d4aa84d6cd5f73a70837a3c52662d449bdb02a9288be36

Observation fce0ff4f-e365-476d-9541-4b155c44fc0d · outbound

This paper cites Med42-v2: A Suite of Clinical LLMs.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Med42-v2: A Suite of Clinical LLMs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.173481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.173481Z digest=sha256:7f0e90e21c1c33e1d0233a0705a55cb5bb48d739ac2c12b250a5821fa0787525

Observation 783c75ee-c393-4908-a2b9-5ebb1675ae8d · outbound

This paper cites Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks

Reference 11

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unresolved
no resolver link, observed 2026-08-16T10:45:16.177146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.177146Z digest=sha256:69dbb37399d940b10df1ff555a02e89a66c677e749bf384949284fe9cc474e09

Observation ef338885-46f0-492c-a1ef-8e33a23739b2 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:16.922133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.181268Z digest=sha256:20d6d3d216b75b93aafa7f9e5e9263d5d76843275be4ae32b91282fb9440cf95

Observation 0aae65b5-f3fe-42d7-87c3-8bc4fc579218 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 13

Resolution
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raw_fallback, observed 2026-08-16T10:45:16.912299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.184490Z digest=sha256:d4d0f76bcabe4c3a74529289dbe4d1817bddef4ae00ae0ecebd3847c5972ed3f

Observation 1a41cbea-f1a2-4f59-ad50-02e05d4b91ab · outbound

This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Arcee's MergeKit: A Toolkit for Merging Large Language Models

Reference 14

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no resolver link, observed 2026-08-16T10:45:16.187811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.187811Z digest=sha256:bc560f9282478c0fd2ea0ac05d99de8e9f8a84b1b499c5081430c14d3dc48114

Observation ea279e7e-9c5b-4a9e-bdb3-500c8f66cde6 · outbound

This paper cites TabLLM: Few-shot Classification of Tabular Data with Large Language Models.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare TabLLM: Few-shot Classification of Tabular Data with Large Language Models

Reference 15

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unresolved
no resolver link, observed 2026-08-16T10:45:16.190902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.190902Z digest=sha256:e20343b4f00a0e14541ac9d131b6f10bd943f7cbbe45aa38333061ebfcc784ad

Observation 8941c74e-d206-40f8-a2b9-5e0ccf4eda0b · outbound

This paper cites Wang, Chenhui Zhang, Zhangheng Li, Bo Li, and Zhangyang Wang.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Wang, Chenhui Zhang, Zhangheng Li, Bo Li, and Zhangyang Wang

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:45:16.902335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.194400Z digest=sha256:e6e41cce86b2703fa92c31063e6f8597ff1b2d0a3ce195242085e08efca0f5a1

Observation 2d33533c-551e-4f17-b4f4-1025e0efaa05 · outbound

This paper cites Yu, and Xuyun Zhang.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Yu, and Xuyun Zhang

Reference 17

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no resolver link, observed 2026-08-16T10:45:16.197591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.197591Z digest=sha256:226a9c16312aa0f5efcea24f88dd55f051f454c9d54d03a717086cf8358b9c5f

Observation c76c56d7-bbb2-40bc-89bf-9ce225450f70 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 18

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unresolved
no resolver link, observed 2026-08-16T10:45:16.200918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.200918Z digest=sha256:377bcab8dd0c6820dd0ae06007d4859bf4756cfd6cad3b804fc3d033e3a5bf7f

Observation bcb2f17d-b356-4b77-9aa5-65a13cf2af9c · outbound

This paper cites Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval

Reference 19

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no resolver link, observed 2026-08-16T10:45:16.203939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.203939Z digest=sha256:e5b3f0aa883738ea1b5167cee0ffeeee6fb7c2e18cb0b3549ab5a8cac0e59503

Observation 1ea071c8-8843-4bc9-8db1-5cae624f5351 · outbound

This paper cites Mistral 7B.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Mistral 7B

Reference 20

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no resolver link, observed 2026-08-16T10:45:16.208462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.208462Z digest=sha256:b62edc77eca2b7d4f682240d40398f2aa5f4c601189cca37821e47c18ea4a73f

Observation c91f5200-8150-40b8-a097-0edcab6cf5da · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 21

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unresolved
no resolver link, observed 2026-08-16T10:45:16.211573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.211573Z digest=sha256:14d1130c0951e25670be7be459c31cd4fa260062d5b0177a1711fad00fafcb20

Observation ca991709-6b2c-4c0d-80aa-2df90f4be790 · outbound

This paper cites Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawit, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawit, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-16T10:45:16.885590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.214552Z digest=sha256:84b574434ef0c386572961d3ee4a11adb726b8fc96e02895e8b42a15a8152719

Observation e1147332-5f42-4a65-8543-428e5956f48d · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 23

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unresolved
raw_fallback, observed 2026-08-16T10:45:16.875316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.217454Z digest=sha256:734512b7f0fe44252c3e4dc504fb593a61cea656a61bd287ea295ad842b7beae

Observation 93a56d99-4a67-49a9-8524-f07134f7e44d · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 24

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unresolved
raw_fallback, observed 2026-08-16T10:45:16.864977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.220553Z digest=sha256:ec2f7ea67462f4e630adac381d19dca6c08b9984e6af4bef57f20975949447c2

Observation 73a81be8-4fee-4348-9e3a-18893aec0800 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 25

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unresolved
no resolver link, observed 2026-08-16T10:45:16.223505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.223505Z digest=sha256:c42626de6e4f2feb27d941716147e3f137cee3a3779941beb35b78f6d20cd0bc

Observation 9559ca0a-0d5b-4ca6-ac16-db3830e318b0 · outbound

This paper cites Hashimoto.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Hashimoto

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:45:16.848260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.226505Z digest=sha256:ac018b0f45b3d6264c4da095f9e6a38b0b5771692b9bd061dd8c420ebc4df850

Observation eff9a186-2367-4c01-bb2c-384d76bf579e · outbound

This paper cites Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T10:45:16.562392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.229807Z digest=sha256:49d4ef677908862a0b7695f53591ba92353d0c89f8ee4f7a4596a63665e53829

Observation e27d7557-06e4-4633-906e-a3ad9fda176a · outbound

This paper cites Moreno, and Lynda Tamine.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Moreno, and Lynda Tamine

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:45:16.836777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.233940Z digest=sha256:059f9212c6ae7ec1b7f6b9fa6cbd2df8c1b414566e6eed39156fc46feb84c1d2

Observation 81006e69-fb9e-4fb2-8117-729157b64d03 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 29

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unresolved
no resolver link, observed 2026-08-16T10:45:16.237874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.237874Z digest=sha256:5b918b16799317d31c203e88c43db8d1ce1e50dca44e17c1691f6ed23cd1e24e

Observation debb0fa4-b809-4d15-8c6f-d7437691f08b · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 30

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unresolved
no resolver link, observed 2026-08-16T10:45:16.241016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.241016Z digest=sha256:39f2edcf0a18bbea1a73dc17b86a32f8ce482ef517aa661005fa65429f020591

Observation be59f351-a4e1-4489-b781-b34ea5e48c9c · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:16.814592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.244400Z digest=sha256:31f4d52a5f312b922f4fb9196b3d9911eb80b88e760d333fab64c7467c8f0c39

Observation 20a99920-8040-4890-ac80-093d2c0ac05f · outbound

This paper cites Privacy Issues in Large Language Models: A Survey.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Privacy Issues in Large Language Models: A Survey

Reference 32

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unresolved
no resolver link, observed 2026-08-16T10:45:16.247676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.247676Z digest=sha256:48bc9a24e86717e2c6d56318467c0063660737aa0c69e70634185eef719886b0

Observation 4f289d47-5582-4f0c-ad69-b90781f4979e · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 33

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unresolved
no resolver link, observed 2026-08-16T10:45:16.250945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.250945Z digest=sha256:2c93172f5ae0550075680e95433ca04e17919f2bb6b3ceeae5a7f1ef79a12b92

Observation 0afd14d8-8386-46e7-acfa-53617e96f61a · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:16.796911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.254010Z digest=sha256:c94d7d04ee4ab1e54d90dace49ff312981c10f9ac7e484b674810337dd038f87

Observation f0fe692a-1917-4012-88ec-079f4667663d · outbound

This paper cites Inan, Amir Houmansadr, and Robert Sim.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Inan, Amir Houmansadr, and Robert Sim

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:45:16.787701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.256993Z digest=sha256:b0ec299480bff1a6ae49640cd86ed61b88db14fd11d34fe075e8686948f03df8

Observation d8ef3b87-9686-4332-851a-6ef6e7f2fc3c · outbound

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

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Towards Expert-Level Medical Question Answering with Large Language Models

Reference 36

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unresolved
no resolver link, observed 2026-08-16T10:45:16.260051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.260051Z digest=sha256:499d0b98c89d0ea97ddd319260861ccb118b3f2505c3d7d9099129775710f3f1

Observation 58286654-72e7-46c6-87da-829003f3115a · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:16.776430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.263276Z digest=sha256:4c46b174e19c95782004ed0170c6f81e668ecf8f1f5a9cec72d4723ffeb9f1f5

Observation 3f2c0815-d377-4e52-8d3e-6fb87b13ea49 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:16.764751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.266504Z digest=sha256:393fd87171758a6faaf434a55ee3f02985b7276024dabaab9ad1146a93434d7a

Observation 7d12d11d-ef26-49b3-892f-f1478b9f9c1e · outbound

This paper cites DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.270014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.270014Z digest=sha256:95867fa3f988c89893f11d33be92f9f0262f09f68bb1397fff92a77ee94a4907

Observation e5645a05-1c8b-4cf7-830a-2526ab3d4113 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare LLaMA: Open and Efficient Foundation Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.273505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.273505Z digest=sha256:c91d7ea974ca679dc500e872715b1431b8993e9867ad997b67d72ad1ac5aaf37

Observation fe6026c4-2af5-4c12-a6cf-0eefbec49782 · outbound

This paper cites Skywork: A More Open Bilingual Foundation Model.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Skywork: A More Open Bilingual Foundation Model

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.277511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.277511Z digest=sha256:380661eb7815257fc9a70cb4c92c5a654ae2cb7794b4e099276392670c603e7e

Observation d6ad3ecf-139b-40d0-9d57-59f66378ad58 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.280958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.280958Z digest=sha256:c982c5031bc6b85f1e16d8e9dc35ea80a0ba05981aa550af29c9f14a35cd17f9

Observation 3329830f-25a5-4dc8-8623-e506a2459e53 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.284819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.284819Z digest=sha256:11520396942f7b8dee49e1e11c64c24b02599017e3b71d98dbf325cadf6f358d

Observation ea251b1d-518c-49ff-8b8f-f7344c7e458c · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.288011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.288011Z digest=sha256:c61c38d1b2dd36275aaeed02dfe61d205d3bf94a0038c3718e80b49ceb094675

Observation c6cc2790-005e-42ab-a72e-447b08838d02 · outbound

This paper cites On Protecting the Data Privacy of Large Language Models (LLMs): A Survey.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.291106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.291106Z digest=sha256:e71bfb1aee9409a15b46f191815d7655768582244ed30258fd2206e37fbeb49d

Observation 6b010347-213a-403f-96a5-f41c5559357e · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.294387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.294387Z digest=sha256:2013cfb2f40bee84abeb8b399f0a395f42742593859b2c36632f5c04ec0a0b3f

Observation 6605308c-c1b9-46b3-971e-31416c2c0779 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.298609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.298609Z digest=sha256:41ac99c9f13bfe76b9b911be1a74c81c1db2b9538407d67acf20b35fe00410f6

Observation 16081577-3a9f-471b-882d-6ffb39557a0e · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 48

Resolution
verified exact
doi, observed 2026-08-16T10:45:16.350967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.301640Z digest=sha256:e135f88f21f5ca14fa08f3a14be8bedfdad4431eb6e138de11846e133aec350a

Observation d3b69317-704c-4b15-8c30-9a298afd9957 · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:16.748184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.304549Z digest=sha256:aacf77fbdcf36d51fb922fc0e25a528ce0bd1cec93ae741060fd112e37d0e08d

Observation a24f15db-c7dd-4a67-96f8-ff67ec9ce8dc · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.307358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.307358Z digest=sha256:51156335a193c8e6ae873a75852b6bf09eab36045d406d3de5c208391228fa02

Observation 08294124-b0b6-41ac-8adb-e2f0c07fff6d · outbound

This paper cites an unresolved cited work.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:45:16.735127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T10:45:16.310712Z digest=sha256:dcd51e9b6c2517a05f8afaecb975f8106fd62e9b7c18d6059c744a54834a22f4

Observation bd102bc8-910f-4133-8ab6-36358179a624 · outbound

This paper cites online" 'onlinestring :=.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare online" 'onlinestring :=

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.313762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.313762Z digest=sha256:12e3b2b8df76de4125d8a565ee82fa1d90d362f80528182d00738015fad88620

Observation 2c1f107d-c159-48fa-bc35-d76b23084e33 · outbound

This paper cites write newline.

PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare write newline

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T10:45:16.318173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:45:16.318173Z digest=sha256:6f8a388a3d9570604ee0c41bc6d07e6719068cf055c854d98fb947e30475453d

Pith citing papers

No inbound Pith citation observations are available.