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Paper Citation Record · LEDGER

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2502.08954.

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

pith.paper-citation-record.v1
2502.08954 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:11:01.093272Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:39:09.055615Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:39:09.872353Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact5
  • verified fuzzy13
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b5a3356-c559-469d-bc49-0087244887f2 · outbound

This paper cites 2023, year of open LLMs, December 2023.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning 2023, year of open LLMs, December 2023

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.245275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:00.972270Z digest=sha256:9aae3846f2114342c7e335ff172129155e5003014dcd07a17a600987d6db4351

Observation 8d0cb481-79dc-4fdc-ba61-cf76941842b9 · outbound

This paper cites An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices

Reference 2

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T23:11:02.071449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:00.976594Z digest=sha256:9bc1161066497ee201ae2c87cf308733236b6737389ca55e6566f58309acb7a3

Observation d839b25d-902a-4807-9308-4e191ca7bc23 · outbound

This paper cites PrivateLoRA For Efficient Privacy Preserving LLM.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning PrivateLoRA For Efficient Privacy Preserving LLM

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T23:11:00.980622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:00.980622Z digest=sha256:dce13f51152f705adb9fd954a24b6d942048c353ac8a08b3174cb91f35dfd743

Observation dc210e19-e335-4dc3-91af-c9f4b07e93e7 · outbound

This paper cites Gostin, Sam F.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Gostin, Sam F

Reference 4

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T23:11:01.856106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:00.985390Z digest=sha256:e19d0e7857b71cb207821da92e7e5cbe752df4fe6fce9f9225a2ab2965eab02e

Observation bc4e0ad4-2d2e-4622-8378-e8f819609171 · outbound

This paper cites How Much Energy Do LLMs Consume? Unveil- ing the Power Behind AI, July 2024.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning How Much Energy Do LLMs Consume? Unveil- ing the Power Behind AI, July 2024

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.234047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:00.989924Z digest=sha256:f669a3a18fc6bdbe40613db9d9ca137eb78657f4348a1c6bf3cb0a3ada2edff8

Observation 9487fe76-6b88-4ec3-a1cb-3dbcdcac969c · outbound

This paper cites It’s time to bench the medical exam benchmark.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning It’s time to bench the medical exam benchmark

Reference 6

Resolution
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no resolver link, observed 2026-08-07T23:11:00.995276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:00.995276Z digest=sha256:2dbfb5e85790a22c753d848fea9901a13239e516132e456932f7c6c8552dbc95

Observation 0943c3ad-494c-4ca3-9fdc-7b178eb24808 · outbound

This paper cites Desai, Kueiyu Joshua Lin, and Jie Yang.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Desai, Kueiyu Joshua Lin, and Jie Yang

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T23:11:01.146431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.000235Z digest=sha256:96b478fe1bdfa52eafbcae196b9b16fc2a292ed2e554b3c636f22ac4ba7d2e2f

Observation 04d8d516-5c60-4141-870f-b638837949d5 · outbound

This paper cites Adams, Felix Busch, Conor Fallon, Marc Huppertz, Robert Siepmann, Philipp Prucker, Nadine Bayerl, Daniel Truhn, Marcus Makowski, 16 Alexander Löser, and Keno K.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Adams, Felix Busch, Conor Fallon, Marc Huppertz, Robert Siepmann, Philipp Prucker, Nadine Bayerl, Daniel Truhn, Marcus Makowski, 16 Alexander Löser, and Keno K

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T23:11:01.004410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:01.004410Z digest=sha256:78ccb5e62a12a5eacf4d6c70e8c1ef4b41352f93c176c846a73f0195604e9721

Observation 3313812d-b002-40a3-bc00-a7912c7d2a0a · outbound

This paper cites SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T23:11:01.008526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:01.008526Z digest=sha256:f3e1451f2e63d1a93075f4aebcb4d8633dee2f4a1c4297f44a1d82e3acba9233

Observation 80845e69-45a3-41c9-81bd-157f8159f254 · outbound

This paper cites MLX: Efficient and flexible machine learning on apple silicon, 2023.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning MLX: Efficient and flexible machine learning on apple silicon, 2023

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.221411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.012708Z digest=sha256:30c5deb9b37f1c6f23c2f5d4159063278920f976973320aa49f68364cdaaf3f7

Observation 0fa77853-b166-4706-b790-779f2039ac52 · outbound

This paper cites Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T23:11:01.016578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:01.016578Z digest=sha256:9c104e3e53e5b169b33c6c54603f5c3dc99e34828fdf413e2647e565a17eb1ad

Observation 3268dc92-a80b-4b3c-ae08-5961713fa165 · outbound

This paper cites Your battery status is being used to track you online.The Guardian, August 2016.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Your battery status is being used to track you online.The Guardian, August 2016

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.209769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.020993Z digest=sha256:691473d2feb36fde5941c65ccd580393af28dc6d21aa79cc5d36ad555c46237e

Observation 61faa40e-d4af-46d4-97b8-b53d3fa00ac8 · outbound

This paper cites Domain-specialized llm: Financial fine-tuning and utilization method using mistral 7b.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Domain-specialized llm: Financial fine-tuning and utilization method using mistral 7b

Reference 13

Resolution
verified exact
doi, observed 2026-08-07T23:11:01.127253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.025945Z digest=sha256:2cdc64bee45c867c35c2b676f68d22ef36b8279e588056cdd61b96d2a37d618d

Observation 1e574fc9-8fff-4318-8f6d-4a40a2d2c62d · outbound

This paper cites Bio-medical-llama-3-2-1b-cot-012025: A reasoning-enhanced biomed- ical language model, 2025.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Bio-medical-llama-3-2-1b-cot-012025: A reasoning-enhanced biomed- ical language model, 2025

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.198574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.031029Z digest=sha256:2795e0d71da505f049baaab4f509118ce20e9bea8066b3b0a0293fe761c95b6d

Observation 11b46ccf-5f00-4009-8b00-0d94434d6316 · outbound

This paper cites Llama-3.2-1b-instruct, 2024.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Llama-3.2-1b-instruct, 2024

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.187983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.034817Z digest=sha256:fe05c717f4289f5fe59876d21f9d6a11b7cbdfe9bdec09b54d1b98478ef78df7

Observation 5297aad5-9da6-49cc-86c5-192402a094e6 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

Resolution
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no resolver link, observed 2026-08-07T23:11:01.038600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:01.038600Z digest=sha256:4d8287722375b69cc25e28fba25cbcb9be87506a071e9dfac2d063b3d7c2da19

Observation 782474c1-7d1a-4867-9737-e0683f3b2eca · outbound

This paper cites Bio-medical-3b-cot-012025: A high-performance biomedical lan- guage model with reasoning capabilities, 2025.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Bio-medical-3b-cot-012025: A high-performance biomedical lan- guage model with reasoning capabilities, 2025

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.167126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.043526Z digest=sha256:b163637a8cb3385e511978c252f488d8e2692288912f0ec4290a833993183918

Observation 37a07ed5-cbb0-443d-82ec-6929649236f0 · outbound

This paper cites Llama-3.2-3b-instruct, 2024.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Llama-3.2-3b-instruct, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.146538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.047204Z digest=sha256:5d1df1b18e43ba9c1698e9364fe141abf2fa0000eea56dae63e6311a38135c34

Observation ce1b39ca-d27e-41f8-925d-805ec18b59b9 · outbound

This paper cites Phi-3-mini-4k-instruct, 2024.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Phi-3-mini-4k-instruct, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.131650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.050987Z digest=sha256:be24d0fb3ea5452816e9571efde42deb3fadfc1973792a63fcc292e08ec5ffc2

Observation ef5eb0ae-5f27-422c-b8fd-f92d8fedd202 · outbound

This paper cites Qwen2 Technical Report.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Qwen2 Technical Report

Reference 20

Resolution
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no resolver link, observed 2026-08-07T23:11:01.054268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:01.054268Z digest=sha256:c4fd1fcf941b47827ba6b4145f10f9e189df027ffad5ef3c05f86126f921308e

Observation 5820efee-1c83-4b70-9627-c1f2d4f4e914 · outbound

This paper cites Bio-medical-llama-3-8b: A high-performance biomedical language model, 2024.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Bio-medical-llama-3-8b: A high-performance biomedical language model, 2024

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.119804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.058394Z digest=sha256:a2af1c0a11f402a37f2610cd17041beefb11aad2e5871ce18585d3ffb50a9617

Observation 3f1c2003-9c1e-407e-98e3-4c06a92ac10e · outbound

This paper cites Aloe: A family of fine-tuned open healthcare llms, 2024.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Aloe: A family of fine-tuned open healthcare llms, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.107416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.062084Z digest=sha256:d52630c5fb5e1e85ab11d7b913dd963b01ac5b0b272cfd273a24598bc1c6c3a4

Observation 032a9b96-75c0-4f8c-8e26-2ae834b65337 · outbound

This paper cites medllama3-v20, 2024.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning medllama3-v20, 2024

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.095361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.065620Z digest=sha256:8d84125c8107792a5ff9b57673836e021702c5ab6520594ca72cb785358f24b4

Observation 3609aa5e-9fa6-47f4-b37e-3cf708a4b647 · outbound

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

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Med42-v2: A Suite of Clinical LLMs

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T23:11:01.069104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:01.069104Z digest=sha256:db8e9b0ac29d233f5b7fecb77c8da1c72d26f8d20ee81a57043943eba9e7bbe8

Observation 10ee7c8c-b3cd-400d-b7d7-feba2fbb013b · outbound

This paper cites Llama-3.1-8b-instruct, 2024.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Llama-3.1-8b-instruct, 2024

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:11:02.083891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.073602Z digest=sha256:c3c069b9ff7ad148ccf68c200c71030875573e36780d1079fb175f5f89514c94

Observation ff554477-e8fb-4aa2-b6a8-5dbdbeff8b8f · outbound

This paper cites LLM in a flash: Efficient Large Language Model Inference with Limited Memory.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T23:11:01.077187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:01.077187Z digest=sha256:dd58e0cfa3380aa6962629e5f001255fcb85a872c97f59f66c2014347c9e7cba

Observation e3e7336b-8702-49b9-ab1a-1878a652afe2 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T23:11:01.081576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:11:01.081576Z digest=sha256:c9e84c27b02bda4ee39d1d52731606e652f68f1c87a75f55c4dae5be5327eb1d

Observation 1642dbcd-4510-4816-be79-f796e76c7025 · outbound

This paper cites A Performance Evaluation of a Quantized Large Language Model on Various Smartphones.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning A Performance Evaluation of a Quantized Large Language Model on Various Smartphones

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T23:11:01.570004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.085486Z digest=sha256:dfcdf176ff303078e9181a90965045ac8bea5094592b420f6a162b63f0c16889

Observation e39dad38-e7f4-4149-9c09-96237ad37fa8 · outbound

This paper cites Hl7 fhir: An agile and restful approach to healthcare information exchange.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning Hl7 fhir: An agile and restful approach to healthcare information exchange

Reference 29

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T23:11:01.554618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.089294Z digest=sha256:cb09c505f518accf18d9f575854aa15c4db1edd5183a307e4e27acf6c0e9d13b

Observation 6fdab78e-e146-4fcd-b1ed-42df88d61646 · outbound

This paper cites How many words do we read per minute? a review and meta- analysis of reading rate.Journal of Memory and Language, 109, 2019.

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning How many words do we read per minute? a review and meta- analysis of reading rate.Journal of Memory and Language, 109, 2019

Reference 30

Resolution
malformed identifier
arxiv_id_nonexistent, observed 2026-08-07T23:11:01.362284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T23:11:01.093272Z digest=sha256:80435c6b2602ae16d0d4174597365156cdf3036274ddc5914fe3a9b09e7c45a6

Pith citing papers

Observation 3ce45698-4b6d-4ceb-bd8d-a454206e5d25 · inbound

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation cites this paper.

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:39:09.950744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:39:09.055615Z digest=sha256:f527b37acc46d5530c34259e337e3b52c4be5ab967c3ed6ceba6f00fcf02350d