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Paper Citation Record · LEDGER

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts

As of 13 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 1 inbound Pith citation observation for arXiv:2509.12440.

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

pith.paper-citation-record.v1
2509.12440 v3

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:43:57.266009Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:17:06.296762Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:17:09.842821Z

Reference resolution

89 of 89 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved86
  • parse uncertain2
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7aa94a50-2fe7-4394-a03f-9a64ca92e0e1 · outbound

This paper cites VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:50.000570Z digest=sha256:480773d690c1fe397b58f2ac4e87221e1065ad5179cfb0c6cd592b8ade9ae72d

Observation 3328e1a3-b7e7-4c61-9b07-59fc2cc7cabf · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:50.558317Z digest=sha256:44847ba38f37a6299dfcd6f1d26fc3fdc4eef96471099cc6097c81666e69a0ef

Observation 25cc7e1c-01b0-4082-a8f0-cc304c984e4e · outbound

This paper cites 部分感染链球菌的患者还可能伴随出现肾炎.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 部分感染链球菌的患者还可能伴随出现肾炎

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.431826Z digest=sha256:6316f1ce977a763850e1952a6fe2e335aa1db16009155cbd4a83008efcec89ac

Observation b405517e-4bd5-4112-8b99-cb1c13ac16fa · outbound

This paper cites correct- for-the-wrong-reason.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts correct- for-the-wrong-reason

Reference 5

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malformed identifier
no resolver link, observed 2026-08-04T16:43:50.284374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:50.284374Z digest=sha256:41f27e82b8acfd2b8b06b0db9e5cee944ac0770b4ed3a34e6b808de2c5605fe7

Observation 947f2e98-b56c-4f8d-b351-9c81280be048 · outbound

This paper cites 如果患者出现严重的呼吸系统损害,可采用机械通气支持.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 如果患者出现严重的呼吸系统损害,可采用机械通气支持

Reference 6

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no resolver link, observed 2026-08-04T16:43:52.484370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:52.484370Z digest=sha256:186290f3429620d33269c2faaa8b2e9db1948bcbf95aa93e15127616a6cd08ff

Observation f24cbdc8-85aa-4de9-a2b8-742b97af3804 · outbound

This paper cites Correct" or.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Correct" or

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T16:43:50.791685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:50.791685Z digest=sha256:7f03bcf7eaa40b523b6f823c903298a268622009c1656c4d6eefcd1162802120

Observation e8621827-f93f-477c-b339-7a507901d7e7 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 12

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no resolver link, observed 2026-08-04T16:43:50.833388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:50.833388Z digest=sha256:a818cbe3f96ee3bf7b8aaa8bbc1b37a6cd031af168c49115b2d6ce1efb03f168

Observation a0a2bbe6-7e0a-4b91-906e-1e40b254ba03 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-04T16:43:50.924964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:50.924964Z digest=sha256:e8c8206ea56b678dd54a488271d27e9ef2c2f455f82f3a03f5d4ab90c76d5a5d

Observation 7d9006fb-2fd5-440d-aa6f-32db45419279 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-04T16:43:50.991399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:50.991399Z digest=sha256:0e4796f69e0f20772a53dcd7a3d243ebf898bed80beeb322eda03cc8962969aa

Observation 9d782df3-a1b4-49a7-b694-3d369f96909c · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-04T16:43:51.052993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.052993Z digest=sha256:365a9997e20a63406d7fb4b328d3cb5825aabddf8fb82da7df135fadbf66d894

Observation 877d38a2-6397-43f0-90ab-fa60ebd6e113 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-04T16:43:51.113810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.113810Z digest=sha256:ac006d1b6b3264b9f3586f15dd376d38ae28809c718b97eda8c85043e0489bc1

Observation 179ea348-a39f-4581-bc51-bfc8cbedf5bf · outbound

This paper cites Correct" or.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Correct" or

Reference 17

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no resolver link, observed 2026-08-04T16:43:51.179012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.179012Z digest=sha256:8b50af7867d4931f278c3c1657f8d452e6f373ad6f49fc5c9b26a41a19804a68

Observation b77815d0-f5c9-4417-91c2-b0686b477d6d · outbound

This paper cites 局部的淋巴结炎、淋巴管炎、筋膜炎、肌炎.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 局部的淋巴结炎、淋巴管炎、筋膜炎、肌炎

Reference 18

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no resolver link, observed 2026-08-04T16:43:51.239976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.239976Z digest=sha256:ed030c75fb20d5f621a47630fd0e867b54512516d55c5eb66dff519fd2f7c124

Observation 5f3bb526-97c6-497a-bf66-c2a9c227b2e4 · outbound

This paper cites 皮下脓肿、皮肤坏疽、转移性脓肿.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 皮下脓肿、皮肤坏疽、转移性脓肿

Reference 19

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no resolver link, observed 2026-08-04T16:43:51.309755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.309755Z digest=sha256:c9229b9a48a589749acf7d39e7800bb604ec2c6f3368a686fc668a23faff64e4

Observation d76d9a6d-363b-44d2-a852-105468177a5e · outbound

This paper cites 败血症甚至危及生命.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 败血症甚至危及生命

Reference 20

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no resolver link, observed 2026-08-04T16:43:51.368535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.368535Z digest=sha256:46b6c07f255d585da07098718d9483ea8d329936a171240c56d01984d40fc440

Observation 499bae15-8d85-4b42-bbfa-ac5da587cc5f · outbound

This paper cites 蜂窝织炎可能引发急性心肌梗死或上呼吸道阻塞.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 蜂窝织炎可能引发急性心肌梗死或上呼吸道阻塞

Reference 22

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no resolver link, observed 2026-08-04T16:43:51.522080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.522080Z digest=sha256:e932e4b465cff50136610b53ae8b163bb5182aa8a05c59aeb6eed3a59d75650a

Observation c368a3c2-9cc2-4cdc-9009-be26a5413bad · outbound

This paper cites Local conditions such as lymphadenitis, lymphangitis, fasciitis, and myositis.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Local conditions such as lymphadenitis, lymphangitis, fasciitis, and myositis

Reference 23

Resolution
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no resolver link, observed 2026-08-04T16:43:51.599174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.599174Z digest=sha256:ef299829db9eb71796976b830998ee92402f14b53285c8bdc9ebb1d67737210e

Observation e6356a33-1dda-4333-922d-1324c72fea4f · outbound

This paper cites Subcutaneous abscess, cutaneous gangrene, metastatic abscess.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Subcutaneous abscess, cutaneous gangrene, metastatic abscess

Reference 24

Resolution
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no resolver link, observed 2026-08-04T16:43:51.652586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.652586Z digest=sha256:01d721e34f8070a2bff7fc9339c48414c82acdfcc1df7533f3bf26c7c5db6a87

Observation 1ab675d6-03f4-47b1-8e75-76d4d48fc466 · outbound

This paper cites Sepsis and may even become life-threatening.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Sepsis and may even become life-threatening

Reference 25

Resolution
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no resolver link, observed 2026-08-04T16:43:51.718658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.718658Z digest=sha256:fe086d9f116374da0d1706ce7a37625d28e24ad0f8ba0f790e5f0f06cb33158e

Observation fc660551-8c53-4fae-a6fe-b1773e6198cb · outbound

This paper cites Some patients with streptococcal infections may also develop nephritis.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Some patients with streptococcal infections may also develop nephritis

Reference 26

Resolution
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no resolver link, observed 2026-08-04T16:43:51.786620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.786620Z digest=sha256:1ece97568dc3cb1b876a39bb168e7ea7a09671c28ab1307ba58c4e9f0775a87f

Observation 0d6be4cd-2257-45cf-afb8-a2ec83464e02 · outbound

This paper cites Cellulitis can cause acute myocardial infarction or upper airway obstruction.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Cellulitis can cause acute myocardial infarction or upper airway obstruction

Reference 27

Resolution
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no resolver link, observed 2026-08-04T16:43:51.853654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.853654Z digest=sha256:e094b939491d279231f9dffd2389cbf7f3594b8dfe90a2af6f1fab681924ab6d

Observation 1671bcab-db06-4981-ae3a-3ab6b5acda8e · outbound

This paper cites 任何年龄段的儿童在发热时不应使用酒精擦浴.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 任何年龄段的儿童在发热时不应使用酒精擦浴

Reference 28

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no resolver link, observed 2026-08-04T16:43:51.917168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.917168Z digest=sha256:05653ffe4757c889c7cd12293091a8bc5bca7746cf9f47c1eee2fde67a5dd0de

Observation b1ad3f67-97cf-444f-b725-5339340fd426 · outbound

This paper cites 手足口病的治疗方法主要以对症处理为核心,目前尚无特效药.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 手足口病的治疗方法主要以对症处理为核心,目前尚无特效药

Reference 29

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no resolver link, observed 2026-08-04T16:43:51.994516Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.994516Z digest=sha256:bf7689a9a3f7dbcb68f45139b7f67b52577247ce75ed596c9e41ff7ed6e363d3

Observation c9ae358a-adf2-4e37-9082-b31fe454a15f · outbound

This paper cites 需要注意隔离患者以防止交叉感染.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 需要注意隔离患者以防止交叉感染

Reference 30

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:52.099235Z digest=sha256:7b878cf7075fdd3157753dd104f2a11611017e25e56949ee35130a641b1c95c9

Observation 94e2e933-df24-4fa2-a7db-5e7b81f6b5e8 · outbound

This paper cites 保持饮食清淡,同时做好口腔及皮肤护理.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 保持饮食清淡,同时做好口腔及皮肤护理

Reference 31

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:52.205049Z digest=sha256:e360d0b52d4d6d966f0c714e98762ddc4aec729cdec34daf257dcf7eb40a221f

Observation 86c9ed01-19b1-4a49-9bb5-9f1ea9a3ed8b · outbound

This paper cites 对于高烧患者,如果体温超过37.5℃……也可使用退烧药物.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 对于高烧患者,如果体温超过37.5℃……也可使用退烧药物

Reference 32

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no resolver link, observed 2026-08-04T16:43:52.287695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:52.287695Z digest=sha256:d26779f5d49652c3626e4b522a72289b5dbb7a5e778c1cf621fa2d0c222b98d3

Observation 21fea8b5-f041-4732-9068-8bf3ce38e987 · outbound

This paper cites 对于病情严重的患者……应控制液体摄入量,必要时降低颅内压.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 对于病情严重的患者……应控制液体摄入量,必要时降低颅内压

Reference 33

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:52.390659Z digest=sha256:83373dc6f5ea93bdbc3c75e28bee87005f7dddecacf144f32dc2a8a4160deb89

Observation c8962979-bf68-4f1d-851f-3c03accda4ca · outbound

This paper cites The management of Hand, Foot, and Mouth Disease (HFMD) is primarily symptomatic and supportive, as no specific antiviral therapy is currently available.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts The management of Hand, Foot, and Mouth Disease (HFMD) is primarily symptomatic and supportive, as no specific antiviral therapy is currently available

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:52.549895Z digest=sha256:ea2a0c3f1cce0084f22baba574b67092fbaa4a020cbc9d5dc21b56ef1fb35147

Observation 07cb50ba-e584-4095-94a0-1d9117b85f4c · outbound

This paper cites It is essential to isolate the patient to prevent cross-infection.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts It is essential to isolate the patient to prevent cross-infection

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:52.656001Z digest=sha256:8a24372b7ee3f18a4cbf281da5c2edb2d8afb3282cb89237c06b647c65d7aa9f

Observation 6debb3d8-3971-49c8-bb63-d910932e1ed5 · outbound

This paper cites maintain a bland diet, and ensure meticulous oral and skin care.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts maintain a bland diet, and ensure meticulous oral and skin care

Reference 37

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:52.718084Z digest=sha256:40c4cd728544236574e96fee6897570802a85e8a15679238b6332f38f2d55e2e

Observation d0b6f9c0-bc11-4a93-b47f-f9b012050103 · outbound

This paper cites For patients with fever (e.g., a body temperature of 37.5°C or higher)... Antipyretic medications may also be administered.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts For patients with fever (e.g., a body temperature of 37.5°C or higher)... Antipyretic medications may also be administered

Reference 38

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:52.788646Z digest=sha256:ff8cbd1aea1e8886b7393543b4391616b721d12722e95884d49c307ec6c3e1bf

Observation 27d41195-c099-4179-82c1-2974c0c0b417 · outbound

This paper cites In severe cases with complications... fluid intake should be restricted. Measures to reduce intracranial pressure should be taken when necessary.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts In severe cases with complications... fluid intake should be restricted. Measures to reduce intracranial pressure should be taken when necessary

Reference 39

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no resolver link, observed 2026-08-04T16:43:52.872479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:52.872479Z digest=sha256:192a501e8f863109cea0a3fbc1dce2aaac02a14bb96cd43f3628e5768467093a

Observation 62496192-cc6e-49b4-91c7-65b9c40594be · outbound

This paper cites If the patient develops severe respiratory compromise, mechanical ventilation support may be required.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts If the patient develops severe respiratory compromise, mechanical ventilation support may be required

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:52.941308Z digest=sha256:8de7fcf977f6df89929abc52462899f1dd6bef6fda0ca154c10c4778255f77fc

Observation 1daee101-9465-4fff-aa36-4621f3bac105 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-04T16:43:53.001540Z digest=sha256:2abb4df7c532dbcc650ced820425cdb50b210187aa6f547bc7c4d4f98766597c

Observation 8cde4ec3-9fff-49df-94d7-cdccc0e83746 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 42

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no resolver link, observed 2026-08-04T16:43:53.124760Z

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source=pdf_text observed=2026-08-04T16:43:53.124760Z digest=sha256:d59c8dc2ca0faf5c4b099a691455bbb5b4c332716cde26265adae19d9e135f4c

Observation dc361ba7-6c49-4272-aa68-1f5b53041c7b · outbound

This paper cites 每日钠摄入量应控制在2克以下.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 每日钠摄入量应控制在2克以下

Reference 43

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source=pdf_text observed=2026-08-04T16:43:53.194954Z digest=sha256:c2c42362661d1eaa950a93c4fc8a5d1ef09fad7564a3de2428d6ac531eda9ef1

Observation a083f73a-5450-41ea-a3ca-b80415d158e7 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-04T16:43:53.304788Z digest=sha256:d5da20c22992e5a19c4210db1d0ddf142e2d2e212ef07cd859b20df1958c5ba9

Observation 132c65b7-6966-4382-8de8-a31997e54d9d · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-04T16:43:53.401915Z digest=sha256:157a04c682a04169a5e9c44a5ba90b5f102e0f8ebc92ef4bdaac15b7875dddc8

Observation 4e339624-ca8b-43c6-8d76-0f6cfbf36b64 · outbound

This paper cites daily sodium intake should be controlled below 2 grams.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts daily sodium intake should be controlled below 2 grams

Reference 46

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source=pdf_text observed=2026-08-04T16:43:53.462013Z digest=sha256:95896f52cd35a87c650fb57e964b1cefdfe3834835a48376deccdcbf0257621b

Observation 1c4be53e-8bc0-4762-9eb1-0dd646f16b58 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-04T16:43:53.533988Z digest=sha256:01a1566ca0fbde215e74ee82614cccfe3a167c5bd8c92b5fd798e294f40a7abc

Observation 00392cb8-21e5-4137-bd25-112dc6480bef · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-04T16:43:53.633820Z digest=sha256:0b50263931a4876efa17ac7b60d15ac25e60c5ecb212040fd8156d4113793a05

Observation c15dabe1-56d6-4ff4-8d8b-74918eb43d88 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-04T16:43:53.725045Z digest=sha256:c67a9a139da020c1ea49196897a1c56c5880281c795415c9fa07c3b062d1b0d8

Observation a90c50b7-dc9f-456b-908a-a4fd589d14c1 · outbound

This paper cites aids in diagnosis.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts aids in diagnosis

Reference 50

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source=pdf_text observed=2026-08-04T16:43:53.787626Z digest=sha256:62761e8afc8cf26e1293304aa330ddde6ce8c2635d3370ea24a775e660ff005c

Observation 2805eb19-b829-4324-ae84-d6702003f904 · outbound

This paper cites 紫外线照射以及液氮冷冻治疗.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 紫外线照射以及液氮冷冻治疗

Reference 51

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source=pdf_text observed=2026-08-04T16:43:53.882825Z digest=sha256:4d2387ed2524ade82014bbad806ecedd3b68e6f4d1379cb77d03ee676660caf8

Observation d652ff49-f48f-40e1-a0e9-b8e2812de17b · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-04T16:43:54.010742Z digest=sha256:90cf46b1d22dabace7ee1580e33121c48646fc918b2e1db00cf91e6258e4262f

Observation 0b8c174d-1178-4394-bd00-81ff54de38f8 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-04T16:43:54.112181Z digest=sha256:ef5739333abe5eacad2651f597af4c7860d76652944d98837aa38d2d1f5544b3

Observation 6214fecf-1620-4e32-be51-0163036e9d86 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-04T16:43:54.173687Z digest=sha256:2fa16cce7c7a650f2fe9cbd4c9aef7d0d922dc47eaeab4247a10fcc63b10d278

Observation 1381358d-e8da-414b-bcb3-5bf37591f253 · outbound

This paper cites 不利影响”未加说明背景,容易引起误解。 此外,文本结尾强调定期检测、咨询医生以及不能替代专业医疗意见等内容是恰当且符合医学伦理的。 审核结果: 错误 解释: 文本中关于咖啡因的表述过于片面,忽略了当前研究中的正面效应,易造成误导。因此整体判断为“错误.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 不利影响”未加说明背景,容易引起误解。 此外,文本结尾强调定期检测、咨询医生以及不能替代专业医疗意见等内容是恰当且符合医学伦理的。 审核结果: 错误 解释: 文本中关于咖啡因的表述过于片面,忽略了当前研究中的正面效应,易造成误导。因此整体判断为“错误

Reference 55

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source=pdf_text observed=2026-08-04T16:43:54.236724Z digest=sha256:1595d11c38925ba12b7a25119cac2f3f086e2f200c49954ace8ed25490dd9664

Observation f1c2a939-55f6-49d7-9a7d-8c714695373b · outbound

This paper cites The final metabolic product of purine is uric acid, and excessive intake indeed leads to elevated serum uric acid levels.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts The final metabolic product of purine is uric acid, and excessive intake indeed leads to elevated serum uric acid levels

Reference 56

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source=pdf_text observed=2026-08-04T16:43:54.301243Z digest=sha256:dfd4aee89c8febfd62c269952a6e5a5809127e3cb56ec646aa74451ec5340e62

Observation 4c4d8efb-4315-4c50-8487-bf1f68a24080 · outbound

This paper cites Fructose can increase uric acid production by promoting purine synthesis.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Fructose can increase uric acid production by promoting purine synthesis

Reference 57

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source=pdf_text observed=2026-08-04T16:43:54.388210Z digest=sha256:b7cd1d44649851256ee37ef6b8dbb79a06637e35cd15325346379da6a40a21d5

Observation 42b993a5-e099-4029-b542-c0ba06663e11 · outbound

This paper cites High-fat diets may be associated with metabolic syndrome, and fat intake may affect uric acid excretion.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts High-fat diets may be associated with metabolic syndrome, and fat intake may affect uric acid excretion

Reference 58

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source=pdf_text observed=2026-08-04T16:43:54.453126Z digest=sha256:cca23529d7561f79540f536e6d05db57b29e04f8210e3d3da3642e584fe899db

Observation f3a8ebba-0762-4e29-a2a2-09609354a3ea · outbound

This paper cites adverse effects.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts adverse effects

Reference 59

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source=pdf_text observed=2026-08-04T16:43:54.522245Z digest=sha256:0c155d3bef14e313c6bcd2ad1cac2ca6af6f261f98d8776324e49d37fe43dd1c

Observation b50b08a5-86b6-4ee6-8035-f1ebc8421c6b · outbound

This paper cites 由于肾素分泌受到抑制.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 由于肾素分泌受到抑制

Reference 60

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source=pdf_text observed=2026-08-04T16:43:54.588811Z digest=sha256:dd47e5e7d003244b9b8ac89e5babe5414d759dd131f6272f8cb8c49ae1b0ee0c

Observation 96d4216f-3ef8-4076-bd6e-d9f3cc39225a · outbound

This paper cites 患者多表现为一种较温和的高血压类型.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 患者多表现为一种较温和的高血压类型

Reference 61

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source=pdf_text observed=2026-08-04T16:43:54.635947Z digest=sha256:e509f0e114c73375b72eb93512aab843361ba5f0a2d631c8653e2bb2d3f56ba6

Observation a0450651-adba-4d6d-97c5-ee83491da6ac · outbound

This paper cites 长期未控制的高血压仍会显著增加心脏、大脑和肾脏的损害风险.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 长期未控制的高血压仍会显著增加心脏、大脑和肾脏的损害风险

Reference 62

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source=pdf_text observed=2026-08-04T16:43:54.717834Z digest=sha256:1efdebba665c445962478e9b364bde84efaadaa3a4e2e3c064836bd6c9c17ce1

Observation 7a0430a3-5735-4c19-a02e-3181e4f333e4 · outbound

This paper cites 持续的低血钾水平可能引发心肌电活动异常.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 持续的低血钾水平可能引发心肌电活动异常

Reference 63

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source=pdf_text observed=2026-08-04T16:43:54.756295Z digest=sha256:4097056a3c1ec8705f41e464a6624c9c6072d0f63984b5170d31cd800f13f7db

Observation f9337c9f-874b-4bde-8448-9337552f703b · outbound

This paper cites 严重情况下甚至可诱发心室颤动.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 严重情况下甚至可诱发心室颤动

Reference 64

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source=pdf_text observed=2026-08-04T16:43:54.826242Z digest=sha256:c8fc649ddc8f1a8b70119a69ea45b8867936c9502d5fc057b00819408e02fc56

Observation 39fef697-970f-4e81-aa37-62b181aeef8b · outbound

This paper cites Due to suppressed renin secretion.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Due to suppressed renin secretion

Reference 65

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source=pdf_text observed=2026-08-04T16:43:54.897087Z digest=sha256:db51550aa5d68a246ac11160ae6ae44862e77bc2f6239f243700f3befc58b380

Observation 9dcea4b9-eda6-4e72-9c44-f3a412a459fd · outbound

This paper cites Patients typically present with a relatively mild form of hypertension.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Patients typically present with a relatively mild form of hypertension

Reference 66

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source=pdf_text observed=2026-08-04T16:43:54.994829Z digest=sha256:00888adad60d9c33446a282261f2dc76206548759894a7968d41f669ef6c8006

Observation e1311b5a-8b19-4746-ac94-0ead0ddfc82b · outbound

This paper cites Prolonged uncontrolled hypertension can still significantly increase the risk of cardiac, cerebral, and renal damage.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Prolonged uncontrolled hypertension can still significantly increase the risk of cardiac, cerebral, and renal damage

Reference 67

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source=pdf_text observed=2026-08-04T16:43:55.049102Z digest=sha256:f22f9004a9d9c5b65389a81d72b99d53e55ce0e87bc0cffe319f232f174169e9

Observation 7fd87053-2bcd-431e-89f5-95cb6120db72 · outbound

This paper cites Persistent hypokalemia may cause abnormal myocardial electrical activity.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Persistent hypokalemia may cause abnormal myocardial electrical activity

Reference 68

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source=pdf_text observed=2026-08-04T16:43:55.139818Z digest=sha256:930987f33e6eaada4633a2453ed0651ab78ca5697ac9912da3509025bafbdfd2

Observation 8357a403-3799-44e5-b308-6de142f14d12 · outbound

This paper cites In severe cases, may even induce ventricular fibrillation.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts In severe cases, may even induce ventricular fibrillation

Reference 69

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source=pdf_text observed=2026-08-04T16:43:55.235842Z digest=sha256:2bdc83116f5c7bed19a6ccf4774a37bd0bb3f9a2732a68ed56c2bc14d07584cf

Observation 94cab6fd-7db0-4424-b3c4-d5f8abcd2538 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-04T16:43:55.336056Z digest=sha256:1d6b0bb09e22c0037d6d1ef37a2df4d10ec2b68ca585dfdc178f6b4a1fbb2238

Observation 4b7e39bc-fb6a-497e-a1e4-1f3c94fe75a0 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 71

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:55.429162Z digest=sha256:aa8e725a9d07ac22e3814f007e8c317e0e77c62500704a944acf3b2dd6e9e177

Observation 58cc8f9c-ce65-44ac-b2cc-ae8326d4381c · outbound

This paper cites 补充蛋白粉可以作为提高免疫力的 一种手段.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 补充蛋白粉可以作为提高免疫力的 一种手段

Reference 72

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source=pdf_text observed=2026-08-04T16:43:55.501941Z digest=sha256:772f840684179b0ae4410fa0d26428ec6078af4fa02ff513957b1554cacdaad9

Observation e4300826-11b7-4d84-8788-a6a1624852ab · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 73

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:55.603914Z digest=sha256:e73eeeee51c4e06e445fe1e140ab391bab01191d51faa83a67adcc848c68e533

Observation 093deacb-9ddb-4a56-bf6d-6d78cd4c3601 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-04T16:43:55.664565Z digest=sha256:cebd47d0273c55c7c5d5cee0f82f16699d6ea995d03263456c51519db08e202e

Observation c43ebd8a-a2ac-4200-8032-15e8e9c6f43b · outbound

This paper cites protein powder supplementation can be a means to enhance immunity.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts protein powder supplementation can be a means to enhance immunity

Reference 75

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source=pdf_text observed=2026-08-04T16:43:55.759543Z digest=sha256:91760527022d3fac5fec80dfabdf6559d56893864c1838ff020fe4b5fbcd34f5

Observation cb0e7403-eb6d-4769-8411-3b50374a37b6 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-04T16:43:55.857870Z digest=sha256:6552255280adbbf04c1880b0a841dcf74baec685db087cfedd1a9a89448e77f2

Observation b2d15ee6-f23b-4c4c-b8a0-c7a5b1075078 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 77

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source=pdf_text observed=2026-08-04T16:43:55.922539Z digest=sha256:b7737c491c299938bbf5df35e56524f6c1a9bddcce5658904724dc8174758b8b

Observation b3d6b381-76aa-4988-94d0-bca55b5c82dd · outbound

This paper cites 可 能”、“通常.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts 可 能”、“通常

Reference 78

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source=pdf_text observed=2026-08-04T16:43:55.988076Z digest=sha256:839eb9701cac79416161aa46064fed856a8fc1cfc0c1a1748ab5c5fb12c516b3

Observation 317f244e-51da-489e-a2dd-09a223fc5864 · outbound

This paper cites This is attributable to its acidic properties and its irritant effect on the gastrointestinal tract at high concentrations.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts This is attributable to its acidic properties and its irritant effect on the gastrointestinal tract at high concentrations

Reference 79

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Observation bab81c07-627c-4e44-b12e-cad501a5677b · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 80

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Observation c5488e12-1587-4d4e-b099-3ce90e7270e6 · outbound

This paper cites may" and.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts may" and

Reference 81

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Observation 8ac1c6a1-caba-4932-a405-d702c6929966 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 82

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Observation 26c974fe-81f6-460b-a8cd-3ef52780428e · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 83

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Observation 0c8ca1c5-7e7f-405d-815b-5c17e720b15f · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 84

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Observation 34e6d1a6-5191-4086-aecd-c83f1faa3894 · outbound

This paper cites may interfere.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts may interfere

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Observation b2628c5e-68bd-48d8-937d-2a742a713a43 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 86

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Observation 7659a9e6-e1ae-4068-8bec-8e1cc82da112 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 87

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Observation 2a312a80-a06b-4b80-8d70-400accfe8f25 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 88

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Observation 6c8e87fd-964b-49c5-a190-fd542397a5c2 · outbound

This paper cites Specifically:.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Specifically:

Reference 89

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Observation a04f0d9d-31ac-4ee0-843a-42217a67b61b · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 90

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source=pdf_text observed=2026-08-04T16:43:57.057541Z digest=sha256:294521b2e1018b3d5ab1d3a0131e5d91b4f74922d7f45c72c37b7b2cd4efeb4b

Observation 4dc95272-9ae7-4d68-9f43-202f53773f62 · outbound

This paper cites In fact, the prevailing medical view is that Vitamin C has a mild uricosuric effect, which lowers, rather than raises, uric acid levels.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts In fact, the prevailing medical view is that Vitamin C has a mild uricosuric effect, which lowers, rather than raises, uric acid levels

Reference 91

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source=pdf_text observed=2026-08-04T16:43:57.106340Z digest=sha256:01915fa7bd6e96acc4dc9eacdd0352bc272c6999912907386bf50369a90489bf

Observation 73a52801-2b9d-4759-b3d3-23020b914566 · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 92

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source=pdf_text observed=2026-08-04T16:43:57.192643Z digest=sha256:c6a6e9c85dcff30ca347961f6078170fc80343891891a6ea92c5e37d92bbd36c

Observation 2a60bbfa-3872-4b72-9895-7eab48cbc62d · outbound

This paper cites Therefore, based on current medical evidence and the review feedback from the two aforementioned agents, the original text is incorrect and contains factual errors.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Therefore, based on current medical evidence and the review feedback from the two aforementioned agents, the original text is incorrect and contains factual errors

Reference 93

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source=pdf_text observed=2026-08-04T16:43:57.266009Z digest=sha256:4bed29ef5db504ebdc6a83f34c58cdb5b2903e563dc006be23a38b3c4a2d0a89

Observation 28fd6e87-8fe1-4404-ac56-e34e698360fa · outbound

This paper cites an unresolved cited work.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts Unresolved cited work

Reference 2023

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source=pdf_text observed=2026-08-04T16:43:50.189759Z digest=sha256:754302d3355e6e2c4fdb5b48c75a9ca9c8f2181c42d0fc151d71a70607bf13ad

Observation f62c5cd5-fee6-4e15-8c9c-06b043c4e595 · outbound

This paper cites MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes

Reference 2025

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source=pdf_text observed=2026-08-04T16:43:49.924539Z digest=sha256:ed74bf1215ceaadc6656dab3075a67f4a8b6090171a0831b61dccf10d490b946

Observation 61bff48b-0655-4dff-a3be-d0070bd56181 · outbound

This paper cites s1: Simple test-time scaling.

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts s1: Simple test-time scaling

Reference 9474

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source=pdf_text observed=2026-08-04T16:43:50.094040Z digest=sha256:caab8116576d043e0876ba7a978b8e6d0aa42d80302357f03611f0528375373f

Pith citing papers

Observation 386e74ad-5676-45eb-84e4-01b26866cf63 · inbound

When Retrieval Helps and Distracts: Evaluating Evidence-Generating LLMs for Biomedical Claim Verification cites this paper.

When Retrieval Helps and Distracts: Evaluating Evidence-Generating LLMs for Biomedical Claim Verification MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts

Reference 22

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-06T00:17:06.296762Z digest=sha256:12ce2e7d06b77b496d226c36771f8fbad8ad695eea453c9b4ae290ddd0593b0d