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Paper Citation Record · LEDGER

The Optimization Paradox in Clinical AI Multi-Agent Systems

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2506.06574.

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

pith.paper-citation-record.v1
2506.06574 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:24.609775Z

measured 49 of 49 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:04:46.850585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:28:49.829878Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy37
  • unresolved9
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a086250d-e0b6-4d3a-87d5-51e15352900a · outbound

This paper cites Melton, Mingquan Lin, and Rui Zhang.

The Optimization Paradox in Clinical AI Multi-Agent Systems Melton, Mingquan Lin, and Rui Zhang

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:26.298551Z

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=pdf_text observed=2026-08-07T06:00:24.084084Z digest=sha256:4e7b99978d76485dba8ed20005d95381e4552b257eb60e1197f7dfb1822fd3aa

Observation 09fc92de-5b5d-43a9-b3f4-04467e0af194 · outbound

This paper cites Large language models for therapy recommendations across 3 clinical specialties: Comparative study.Journal of Medical Internet Research, 25:e49324, Oct 2023.

The Optimization Paradox in Clinical AI Multi-Agent Systems Large language models for therapy recommendations across 3 clinical specialties: Comparative study.Journal of Medical Internet Research, 25:e49324, Oct 2023

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:26.248573Z

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=pdf_text observed=2026-08-07T06:00:24.103322Z digest=sha256:a734a3e8602102263e888719c98b4a786afbab19ec80a9005e10ddc932378e51

Observation 4165a2c1-858e-4c75-b9ac-955f7e121c92 · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:00:26.227222Z

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=pdf_text observed=2026-08-07T06:00:24.110278Z digest=sha256:6c5f023fdeeb7fe822163a4dae67532dd678f1db5ee649315771b281c9302420

Observation dfc3aadb-8ff6-4861-bcc2-1d7baec62f2a · outbound

This paper cites Roumeliotis, and Manoj Karkee.

The Optimization Paradox in Clinical AI Multi-Agent Systems Roumeliotis, and Manoj Karkee

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:26.194065Z

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=pdf_text observed=2026-08-07T06:00:24.136421Z digest=sha256:568459b369b8e50e6226f1ff53433baf1d9f84eb7394f8887cdd863f5f5723d5

Observation a4faa2c7-60b5-4857-99d3-b44f8c2df660 · outbound

This paper cites Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle Barral, Katherine Chou, Greg S.

The Optimization Paradox in Clinical AI Multi-Agent Systems Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle Barral, Katherine Chou, Greg S

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:26.155398Z

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=pdf_text observed=2026-08-07T06:00:24.143252Z digest=sha256:977d31b2c8fa9e6a5e41657715d5f59ea8b04a803ee3fc25f9ff03aeb7731f0b

Observation e1f5e016-53aa-4067-9ad9-2e15f02afc31 · outbound

This paper cites Coordinated ai agents for advancing healthcare.Nature Biomedical Engineering, 2025.

The Optimization Paradox in Clinical AI Multi-Agent Systems Coordinated ai agents for advancing healthcare.Nature Biomedical Engineering, 2025

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:26.109536Z

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=pdf_text observed=2026-08-07T06:00:24.161122Z digest=sha256:aef7f1cad79cec598f6c10d64ab1cebb82f519f5ba3c80ce6824107468b4fbcf

Observation c2d85914-def7-45a2-889e-d0fb7cd221f0 · outbound

This paper cites Tran, Daniel I Schlessinger, Shannon Wongvibulsin, Zhuo Ran Cai, Roxana Daneshjou, and Pranav Rajpurkar.

The Optimization Paradox in Clinical AI Multi-Agent Systems Tran, Daniel I Schlessinger, Shannon Wongvibulsin, Zhuo Ran Cai, Roxana Daneshjou, and Pranav Rajpurkar

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:26.064146Z

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=pdf_text observed=2026-08-07T06:00:24.180002Z digest=sha256:3faad8ff3001011732a1f875772bd9743a3c83efcf9c6751fdc105494ccc6c93

Observation ea423991-3427-425e-b831-6fd37c756cb8 · outbound

This paper cites Ai agents help explain other ai systems, January 2024.

The Optimization Paradox in Clinical AI Multi-Agent Systems Ai agents help explain other ai systems, January 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:26.012060Z

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=pdf_text observed=2026-08-07T06:00:24.200054Z digest=sha256:1db58fc00aec8606fb89126dff40531f48c01cb98e7b5c52c4fedd1c92b35e01

Observation 1245456f-3180-4185-b5d8-710995d8b0f8 · outbound

This paper cites Unlocking complex problem-solving with multi-agent collaboration on amazon bedrock.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unlocking complex problem-solving with multi-agent collaboration on amazon bedrock

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.974750Z

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=pdf_text observed=2026-08-07T06:00:24.206213Z digest=sha256:1e380a22fabfe8e765c8a93ad0154fa37334c3a810a25b95c11f42212ee3c23b

Observation 86978676-ca1e-4d67-b756-049ea54102a5 · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:00:25.939859Z

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=pdf_text observed=2026-08-07T06:00:24.215739Z digest=sha256:9b817356cfb2f93042ac48e6da976822f24d51df5f3354123da966e575e8602c

Observation dc59d09d-ffb8-40d7-8ccf-8fce04d43ed5 · outbound

This paper cites Evaluation and mitigation of the limitations of large language models in clinical decision-making.

The Optimization Paradox in Clinical AI Multi-Agent Systems Evaluation and mitigation of the limitations of large language models in clinical decision-making

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.902151Z

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=pdf_text observed=2026-08-07T06:00:24.235853Z digest=sha256:db0baa31c1d3f16c3206512914172a9e934d1ec4e19ef3c06d3c839ef74bda57

Observation 339c08ea-a9c3-4732-b201-2946af55e748 · outbound

This paper cites Macaluso and Robert M.

The Optimization Paradox in Clinical AI Multi-Agent Systems Macaluso and Robert M

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.857153Z

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=pdf_text observed=2026-08-07T06:00:24.242364Z digest=sha256:3bc3acf459b30a96c22215bfe4c45fa727702530136c0566d8b6053ca236e48f

Observation 50a46cb7-fa3f-4685-91e9-c5efac248eeb · outbound

This paper cites Diagnosis and treatment of acute appendicitis: 2020 update of the wses jerusalem guidelines.World Journal of Emergency Surgery, 15(1):27, 2020.

The Optimization Paradox in Clinical AI Multi-Agent Systems Diagnosis and treatment of acute appendicitis: 2020 update of the wses jerusalem guidelines.World Journal of Emergency Surgery, 15(1):27, 2020

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.835401Z

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=pdf_text observed=2026-08-07T06:00:24.248802Z digest=sha256:069f131bbd85e5d0f6a61e33d53f3aa7da32fb044bd9389bd5eafe2bec8adce3

Observation 1d1f04f5-7b68-4709-bcda-0d95b50d0ae5 · outbound

This paper cites Epidemiology and outcomes of acute abdominal pain in a large urban emergency department: retrospective analysis of 5,340 cases.Emergency and Critical Care Medicine, 4(19):1–8, 2016.

The Optimization Paradox in Clinical AI Multi-Agent Systems Epidemiology and outcomes of acute abdominal pain in a large urban emergency department: retrospective analysis of 5,340 cases.Emergency and Critical Care Medicine, 4(19):1–8, 2016

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.817379Z

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=pdf_text observed=2026-08-07T06:00:24.256153Z digest=sha256:a2e8439feb71923f3998a3bb696125ca4d53c8cfa7a8f0fdfefca1aae82d649c

Observation 20eaf832-b1f3-4538-89df-7678a4904b2f · outbound

This paper cites van Breda Vriesman and Julien B.

The Optimization Paradox in Clinical AI Multi-Agent Systems van Breda Vriesman and Julien B

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.790198Z

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=pdf_text observed=2026-08-07T06:00:24.265592Z digest=sha256:f0c90078003af1e32747f095594ef36e7ba28013963197e3b2eaa535ba555eb3

Observation 40294bb7-8bd2-4c2d-b16a-dea54c25c222 · outbound

This paper cites Diagnosis and treatment of acute appendicitis: 2020 update of the wses jerusalem guidelines.World Journal of Emergency Surgery, 15:27, 2020.

The Optimization Paradox in Clinical AI Multi-Agent Systems Diagnosis and treatment of acute appendicitis: 2020 update of the wses jerusalem guidelines.World Journal of Emergency Surgery, 15:27, 2020

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.748312Z

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=pdf_text observed=2026-08-07T06:00:24.274970Z digest=sha256:ec662a5649669f19caed348ee30fdb7fbdaaaabc667866fea152e1b55b93325b

Observation 1dab07eb-c065-4796-9b20-cf179db98c9f · outbound

This paper cites Gomes, Andrew W.

The Optimization Paradox in Clinical AI Multi-Agent Systems Gomes, Andrew W

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.725256Z

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=pdf_text observed=2026-08-07T06:00:24.283317Z digest=sha256:6dd49f052d2e2b6d4ae6cb0ba024973208c41d557bd6a8b98ffffafc131c1f89

Observation 4dab4bdf-b7ca-45e2-a478-de996d45ce1b · outbound

This paper cites Hall, Patricia L.

The Optimization Paradox in Clinical AI Multi-Agent Systems Hall, Patricia L

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.702334Z

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=pdf_text observed=2026-08-07T06:00:24.288997Z digest=sha256:67a7ec092c27a00484ff0696954a110f4f9a0fe767b6b1a9039bae6f2f718e4c

Observation cb6da90f-5032-453b-8146-1d3d517dd5cf · outbound

This paper cites 2019 wses guidelines for the management of severe acute pancreatitis.World Journal of Emergency Surgery, 14:27, 2019.

The Optimization Paradox in Clinical AI Multi-Agent Systems 2019 wses guidelines for the management of severe acute pancreatitis.World Journal of Emergency Surgery, 14:27, 2019

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.680734Z

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=pdf_text observed=2026-08-07T06:00:24.294696Z digest=sha256:9bcda3a4dc44e595391f0699c04c78e3c4dc9f3c864d00ca49646bf96ef230fc

Observation 792e4c9b-35c1-42f2-9076-8f5a8122329b · outbound

This paper cites Signs and syndromes in acute appendicitis: A pathophysiologic approach.World Journal of Gastrointestinal Surgery, 14(7):727–730, 2022.

The Optimization Paradox in Clinical AI Multi-Agent Systems Signs and syndromes in acute appendicitis: A pathophysiologic approach.World Journal of Gastrointestinal Surgery, 14(7):727–730, 2022

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.654918Z

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=pdf_text observed=2026-08-07T06:00:24.304394Z digest=sha256:9efebd3f30eb2897b8d0b365694b32120626a88fc0f9fa3464e3c2482b5c0576

Observation 039b9051-64e3-4021-8db4-9e6f932ff6ed · outbound

This paper cites Eponymous signs of acute cholecystitis – a review.Saudi Medical Journal Students, 3(2):44–55, 2023.

The Optimization Paradox in Clinical AI Multi-Agent Systems Eponymous signs of acute cholecystitis – a review.Saudi Medical Journal Students, 3(2):44–55, 2023

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.623088Z

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=pdf_text observed=2026-08-07T06:00:24.316381Z digest=sha256:0ecc8827ba5ce999de808997f0fba0a6168efbb2d3948a22a3de01836afae3e3

Observation 0aa3c77b-65dc-4367-a4b2-23787cce81f6 · outbound

This paper cites Colonic diverticulosis is not associated with painful abdominal symptoms in a us population.Gastro Hep Advances, 1(1):15–22, 2022.

The Optimization Paradox in Clinical AI Multi-Agent Systems Colonic diverticulosis is not associated with painful abdominal symptoms in a us population.Gastro Hep Advances, 1(1):15–22, 2022

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.592820Z

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=pdf_text observed=2026-08-07T06:00:24.333161Z digest=sha256:743de252089df6a709ce23cc864237d25e47c4150e148cf48fa2d647391d2f13

Observation c6f8a480-26fa-425a-a67f-8940589c6db7 · outbound

This paper cites American college of gastroenterology guideline: management of acute pancreatitis.

The Optimization Paradox in Clinical AI Multi-Agent Systems American college of gastroenterology guideline: management of acute pancreatitis

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.572356Z

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=pdf_text observed=2026-08-07T06:00:24.340346Z digest=sha256:8070af6d4362a42fd1e9f6c999afbc866848f18a280c631661778a19279fd1c5

Observation c6500097-fd54-4dcc-bce2-a958dcc16cf4 · outbound

This paper cites test_name.

The Optimization Paradox in Clinical AI Multi-Agent Systems test_name

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.527774Z

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=pdf_text observed=2026-08-07T06:00:24.360387Z digest=sha256:6cd482784d85c70afd046f328c6b409b31c9e1689b5ca60ebfed6e258e48d90e

Observation 5a40b418-11c0-4240-a8c6-72941301a226 · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 25

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T06:00:25.504328Z

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=pdf_text observed=2026-08-07T06:00:24.366359Z digest=sha256:970a48dde9037a520297ff678129b5e81ebf505d6ce55ced4db9f117524ac277

Observation 06c15db5-fdc5-4364-8cba-09d28e086223 · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:00:25.480608Z

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=pdf_text observed=2026-08-07T06:00:24.376378Z digest=sha256:483e69536ff18a831f9d1c84c80d9c922f31504b043325d427f88b88a6a788ee

Observation 81da8833-f053-407f-af2a-671e3a999937 · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:00:25.434574Z

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=pdf_text observed=2026-08-07T06:00:24.385772Z digest=sha256:31bd78f33f34d5246040c5c55e7e6bcbfa36193685a7f354e9d9ff453e0333d4

Observation 39918f57-3df4-4e2f-a7c8-b1dfb58bb0e9 · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:00:25.390937Z

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=pdf_text observed=2026-08-07T06:00:24.398130Z digest=sha256:948ba861869b73ccc5bfc8533f32e2fcdfb22976f4b81098c957ec90b5edfceb

Observation 4d939b50-3e1e-4b8f-9350-a37e77a93040 · outbound

This paper cites Do NOT request any further actions or tools.

The Optimization Paradox in Clinical AI Multi-Agent Systems Do NOT request any further actions or tools

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.355501Z

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=pdf_text observed=2026-08-07T06:00:24.409931Z digest=sha256:be1c912c607247ad7b59f9d31e2af0e37fc8a3c0093f2babde2381b876886b27

Observation de0d080e-1d4a-4046-8630-902ae388e8e5 · outbound

This paper cites Lab Interpretation.

The Optimization Paradox in Clinical AI Multi-Agent Systems Lab Interpretation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.326610Z

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=pdf_text observed=2026-08-07T06:00:24.418265Z digest=sha256:398f7f51ebdbca9c8ba5dbdb58a8676fa8ce1ff8b5df698540c407b0fe01014c

Observation a31d673f-614e-4329-a3ab-6d6349f69bbc · outbound

This paper cites Do NOT ask for any more information or tools after FORMAT 2.

The Optimization Paradox in Clinical AI Multi-Agent Systems Do NOT ask for any more information or tools after FORMAT 2

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.164265Z

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=pdf_text observed=2026-08-07T06:00:24.467037Z digest=sha256:8efc0e66fd73df0d72374266981ccf54ca0055a77217f1cf61bcceae4b41966d

Observation 811ac568-59b3-4d72-b4ef-e60fd645b7e5 · outbound

This paper cites WBC": {"value.

The Optimization Paradox in Clinical AI Multi-Agent Systems WBC": {"value

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.109172Z

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=pdf_text observed=2026-08-07T06:00:24.472407Z digest=sha256:eb1e8c2e6afe66226dc71deb9e0e2d0f15cf962b38e0ddb379087a2cb042c40f

Observation 71356254-6681-4585-bcfe-292c72110e01 · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:00:25.267085Z

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=pdf_text observed=2026-08-07T06:00:24.479470Z digest=sha256:3a4cfdd4498f9a00f4fbdf5ec6522fb2ce87087baea9fc466018e8f38837126d

Observation 46b98989-5859-4575-97d3-30d2c033cd9b · outbound

This paper cites Action Input.

The Optimization Paradox in Clinical AI Multi-Agent Systems Action Input

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.233135Z

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=pdf_text observed=2026-08-07T06:00:24.485059Z digest=sha256:78f4c4e1389d08d1729c55e3d551987f533609db78131274421d0be6447c7539

Observation 4955bd71-6900-4f23-b49e-82bf69ae3fa8 · outbound

This paper cites Action Input.

The Optimization Paradox in Clinical AI Multi-Agent Systems Action Input

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.201549Z

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=pdf_text observed=2026-08-07T06:00:24.492664Z digest=sha256:47507e44ea0cd801618f69e41534e5dfe0d70bdcb0a0ae55c92eb36e9dba6d41

Observation 298d4712-335b-4744-8f77-a5998b595209 · outbound

This paper cites Do NOT ask for any more information or tools after FORMAT 2.

The Optimization Paradox in Clinical AI Multi-Agent Systems Do NOT ask for any more information or tools after FORMAT 2

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.056718Z

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=pdf_text observed=2026-08-07T06:00:24.504516Z digest=sha256:09621ca4918ed17a008000f93a712a81940bdd4c94af44e7667205d82babfddb

Observation fb0fb01e-6c24-452f-877f-3365bad5f127 · outbound

This paper cites "" # INFORMATION INTERPRETATION AGENT INTERPRETATION_PROMPT =.

The Optimization Paradox in Clinical AI Multi-Agent Systems "" # INFORMATION INTERPRETATION AGENT INTERPRETATION_PROMPT =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.029529Z

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=pdf_text observed=2026-08-07T06:00:24.511239Z digest=sha256:f29bbe85ec58208767315503e0a698db866c7a297a1ea66be89081e50d18cdd1

Observation 48749d4b-da70-44e4-b107-13e073b0c6a1 · outbound

This paper cites Lab Interpretation.

The Optimization Paradox in Clinical AI Multi-Agent Systems Lab Interpretation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.001932Z

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=pdf_text observed=2026-08-07T06:00:24.537156Z digest=sha256:c70946835316efa0512536a91ad2e7e5ea2ea69d22758565d6f54bda56226c18

Observation e45f9f98-2043-407d-9777-62230fad72c3 · outbound

This paper cites high”, “normal.

The Optimization Paradox in Clinical AI Multi-Agent Systems high”, “normal

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:25.299693Z

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=pdf_text observed=2026-08-07T06:00:24.558870Z digest=sha256:81197286e42c9dc1cdaf78263b6bc24c4d88c12df2f26689c7561b8e0fd68796

Observation 5c4b4dba-13c4-42af-9809-a47e2f8f7b4f · outbound

This paper cites "" Fig. 5. Prompts used for the multi-agent systems. The Optimization Paradox in Clinical AI Multi-Agent Systems Retriever LLM: LABS_MATCHER_PROMPT =.

The Optimization Paradox in Clinical AI Multi-Agent Systems "" Fig. 5. Prompts used for the multi-agent systems. The Optimization Paradox in Clinical AI Multi-Agent Systems Retriever LLM: LABS_MATCHER_PROMPT =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:24.964575Z

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=pdf_text observed=2026-08-07T06:00:24.563447Z digest=sha256:ff1bf248840df690c97978fa258714639057b863a4fcf2fae15c88da2ffdcf48

Observation 53ddb42a-dd1f-42ca-b5a6-6b742f38e95e · outbound

This paper cites Action: Physical Examination Action Input: Abdominal tenderness, McBurney's point.

The Optimization Paradox in Clinical AI Multi-Agent Systems Action: Physical Examination Action Input: Abdominal tenderness, McBurney's point

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:24.917182Z

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=pdf_text observed=2026-08-07T06:00:24.569642Z digest=sha256:c8e7ac1e364ec356d7644780f15c7f01137cf3a713795e9cc17bf304210dfc3d

Observation c4a9ed0f-ba57-4cc1-af6c-2c8b36d5aa49 · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:00:24.877077Z

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=pdf_text observed=2026-08-07T06:00:24.579771Z digest=sha256:83b29b3a92c620e6ecd81e1523344df1b86d48caf7fe830d4114d6bd4b3aa8c3

Observation a4438b2a-3c61-42df-aecd-5b850ce902e0 · outbound

This paper cites Action: Laboratory Tests Action Input: Complete blood count, C-reactive protein.

The Optimization Paradox in Clinical AI Multi-Agent Systems Action: Laboratory Tests Action Input: Complete blood count, C-reactive protein

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:24.829163Z

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=pdf_text observed=2026-08-07T06:00:24.584481Z digest=sha256:d495e5ddcd45e44b0da88f4cfc6403255c9ff3367b17a59bea07a36b8e7f1d04

Observation 435722d1-2924-443a-92c7-7751f727b2cf · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:00:24.799769Z

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=pdf_text observed=2026-08-07T06:00:24.589167Z digest=sha256:8183139d52a73defc723e82ebaaed261f8e4f36e87e2a98a6900ad0272b8858a

Observation 64788389-7e7a-458d-936f-719abb5d53e3 · outbound

This paper cites WBC": {"value.

The Optimization Paradox in Clinical AI Multi-Agent Systems WBC": {"value

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:24.762487Z

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=pdf_text observed=2026-08-07T06:00:24.600319Z digest=sha256:a9b184227e22de601bc6a4c90398df8a1b72d53e3625c2a21276dcf842d5c3ac

Observation 2b00c8a5-1f29-4de0-98d6-2dc00690d1c2 · outbound

This paper cites Action: done.

The Optimization Paradox in Clinical AI Multi-Agent Systems Action: done

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:00:24.713957Z

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=pdf_text observed=2026-08-07T06:00:24.605105Z digest=sha256:f7deb023baec41fd6c38bde29ba391482ce3bcc030b49c7791f17553d3f1f202

Observation 36e73568-4895-448f-a6a2-597e04374e6a · outbound

This paper cites an unresolved cited work.

The Optimization Paradox in Clinical AI Multi-Agent Systems Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:00:24.670488Z

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=pdf_text observed=2026-08-07T06:00:24.609775Z digest=sha256:32ca60651ac82930d6781e0f4d8ccfd277940fe146413c2367036671fe4da2ed

Pith citing papers

Observation e14b2b66-f263-44f4-828b-e21cbbc82b5c · inbound

LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios cites this paper.

LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios The Optimization Paradox in Clinical AI Multi-Agent Systems

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T17:04:46.850585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:04:46.850585Z digest=sha256:a262c7020b19d23f38c1ae1f0190b568e4bf06c29c8dbf89f7bdfa4b803a0eff

Observation 9b281d47-29ce-4257-a64e-e58decee51fc · inbound

How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM Benchmarks cites this paper.

How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM Benchmarks The Optimization Paradox in Clinical AI Multi-Agent Systems

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:28:49.831115Z

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=pdf_text observed=2026-06-27T02:49:04.341583Z digest=sha256:43babae1ad7f7669664d3f1e57200dff9aff94652abfac91412e62649af13f6c