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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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=sha256:481217c459f3c860a5f51d5c59b5b30531c5a7842febd72aefb18865dae6886e

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=sha256:2902c5f69a72217932a8fb212c1ab498f239bebc6237d64604b3aa8e97e22984

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:d5f5fba51563844daf5619c56f7c1d022faded0e21b7a2c2b767e7d3438f4e4c

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=sha256:9883f72e47b49a3f13686e5568adce1ddb4c8ca5baa9577109d14a902bdbe160

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

source=arxiv_source observed=2026-08-16T10:45:16.156567Z digest=sha256:ff4178f339d931e605b30e2d2c317ee1adfec77d3678dae0154ef90d87b190d2

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

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

source=arxiv_source observed=2026-08-16T10:45:16.159826Z digest=sha256:85c883331edcc59075b4d60d1dce9cdace6b29c0dfc0ea514e49fe0a0c75c393

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

Resolution
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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=sha256:974340458abc8fbc83c8432776e38c926c40795a39c109d29e29cbb569ad3831

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=sha256:955b6fd6e7acf7be404aea75971b1a880ac8845e2a47a0688117ff596df1a708

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=sha256:82145d26d663332fc41c22246ae42bc267ed775b5e5260c59576ba93487e358c

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=sha256:2f62dc540c0a0d3e24de66a3700cd41670d08744f6a989262b5fe67a0b625dca

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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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=sha256:5c2f9b2940a0155ee49bbf90fb00e7493def37ee47376fd67df4645a48f712e0

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

source=arxiv_source observed=2026-08-16T10:45:16.181268Z digest=sha256:2a4cd243f9d630124e0a2901c9920927a73bc4f542cfd192391930349d1b2f44

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

source=arxiv_source observed=2026-08-16T10:45:16.184490Z digest=sha256:5bd187fded057158d05ddbe9b6f1a41a704666cb1f116342b764b7d3891c6279

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

Resolution
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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:da4c9dbc5bfe086d829f87019e46a75f9643181203daf7565f7019fc82d3daf9

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:e7db5feea0575a3b4673ded9d1833c9b3c3f0a874703a25c7d97b793704bda87

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

source=arxiv_source observed=2026-08-16T10:45:16.194400Z digest=sha256:d541a195f75395c64e2ed2c4999fbea2743fe0f2355f11fe0c42a97883bce4a7

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=sha256:6230a6ff35910ac7dee57fa549027952fd37c8a2fcc03a702116423f5a2f6971

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:ab82c6b52fb3e847c830eb0cbfb76cac2ce5760758b2c62e2b9cd79cd39760b7

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=sha256:20a2a766c483567555aba963b48fe6f7d4c4fa57849b1213f7a34b4d026078a1

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:e709c41643c187377ba1b42272a2f3c8ece2367a4456b2db9c3aa23e2d3f8e2c

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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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=sha256:925f162982c1d5758a36c88c56234d042d8b16e4d70eb0e102934805dc59dbec

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

source=arxiv_source observed=2026-08-16T10:45:16.214552Z digest=sha256:d6f2edb910a0714b3f875a091344b5c1a0b8875751db488771d21aaf3ced8e9d

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

source=arxiv_source observed=2026-08-16T10:45:16.217454Z digest=sha256:17267ef57e5e07f4867cdd04ad2ea27c1d379341f61fa9f39abb0cd23bdd26ec

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

source=arxiv_source observed=2026-08-16T10:45:16.220553Z digest=sha256:a1d243955dcc9af171321779c35b83eb05a46a19d71011b3824553857d44952e

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=sha256:2c2d2f6d50197e951885cac7124b1f646939c0d7d097086b3361fbaeec6da55c

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

source=arxiv_source observed=2026-08-16T10:45:16.226505Z digest=sha256:a38a6bf148548c94f6ea3ccf7c700871775fa5b0b011e59612dea04691a82237

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

source=arxiv_source observed=2026-08-16T10:45:16.229807Z digest=sha256:e72fecdd5879ce70cdd6a951ba7018d64ec58fac80929664afe0064aa71e6664

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

source=arxiv_source observed=2026-08-16T10:45:16.233940Z digest=sha256:91de96d3e50b1a2e3a1c72944b28733ec9d70bb92517118eb052bc52c2bc28e5

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:b9e90717a54f63231f652beffefcd6dcbb2ea70331e1c26a7677aa37f0e23807

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=sha256:15133d76f68ff2763203c56b436f786b1c16c067311583bb08597072e922defc

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

source=arxiv_source observed=2026-08-16T10:45:16.244400Z digest=sha256:cd5008bc6b660751030d61ab7d8eb0fa293a5985a401f2ebe747ff8a521259d8

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=sha256:57194271b69aaafdeda8056fa7b48e347e3664bc62bcdf60f6e8ee305d09d7fc

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:ee020c87f12b69ab48b7d0329a110b12d4d072215b5b0e316d5741d83c90893b

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

source=arxiv_source observed=2026-08-16T10:45:16.254010Z digest=sha256:582153c3ebef23f76e72a37f87a2a4b472bcce2b2cf39538c337cd64a45106ac

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

source=arxiv_source observed=2026-08-16T10:45:16.256993Z digest=sha256:11298d4ae32df241ebd91629377b28b798e3a2987aca5386676c63dd9304ac90

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=sha256:0cc3b46c2498fd7c223ca28535f56529e91ee1c384de9717f6619b4d5775f9e2

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

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

source=arxiv_source observed=2026-08-16T10:45:16.263276Z digest=sha256:e779cf015e6a1b9d3b7d5f7cf118d40320a7be9d79f23952ee2b1ea2d684eff3

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

source=arxiv_source observed=2026-08-16T10:45:16.266504Z digest=sha256:e3b42c78d96c047ab853a8d1e030c2519b781eff167d0ee24710a6c61fd97c11

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:fb08c13989c2d3812cb7f9360f0f1c8b399c35dc0b58d3bb72341dc57d3973f4

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=sha256:4d63565b8a2a04a91367bc1945500d2ed1606c58ba882603535d2b6b9535f40a

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=sha256:49eb6b3452cf9a50dbb165f16c4adda9b2ba7c3f183502b677e6457ebb347ce6

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=sha256:90e1a7d59e453fb552ded26b8793bdc84c057dd9968c12a2779d2b11ace74853

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:bd07316be276ad50050feec1c379c77869bc69a524868e9df5ac1e9613dba188

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:c157fe8acd3a5361551d15d9328aa213098f64435aef91c79f5333d0d077cc03

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:e6ceca1eb325d02a41361e4d9bab08875d187a8abf78f9a1327df7fcfeb2afff

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:caad8788c0fbc088260d55b4d09bc3e504e3a23b938b7445010ac81f5b4b70e4

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=sha256:1ed8cc0821f74e89c9078a2322450d39a3e4a7153a380eca16254d6376c887da

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

source=arxiv_source observed=2026-08-16T10:45:16.301640Z digest=sha256:21675235127d0937ce7c2a1532b58327e99217f0bacb41a7797ff25246ee04d1

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

source=arxiv_source observed=2026-08-16T10:45:16.304549Z digest=sha256:5280db0b85f5795f69960ab0711750fb932b144741b121f990ac9e1a673d8ccd

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:a1a764b23abe5c282f03097a44bf27ce6d0e3c55d8ff10172688ba44c7938288

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

source=arxiv_source observed=2026-08-16T10:45:16.310712Z digest=sha256:f6a3b11c960aa61bb4edf671be5fd614cf6bd77abf0d111dd6b4d9f5ffe2b7a3

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=sha256:63d4f2ea837bbb6ccf5f065d284c0fa5a6c4ac575c94aa57738e1fca21bd52c8

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=sha256:0518f6d283738f03c2da86a37119d09f640fc3a6544fba5a4b67df19f1f9c195

Pith citing papers

No inbound Pith citation observations are available.