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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-06T06:34:29.942622+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=sha256:2397e2e11c2ab13b1baf3252f96b76eafc538be40999d194d3027fb4ad17f906

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:ba78a5362244974706307b55fb5f62fd04b257d41f8a8b15e37496319c7503f4

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=sha256:6e2610efaef7ebf4031fc327807573a9908de2c379671235b1525c4a7e5c4f8d

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

Resolution
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=sha256:0ab12ce7c814a91be84f1bf4295ab4a7cbf054016453ab712146d5fbe8a19a6c

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=sha256:132abc328565568b302a95630c3b1122af8b14bd0253be85780c091a53f61524

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

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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=sha256:9df74c0f751305fb2d9a297863b7e462666ac3c38f39c2971973ab9c2eec3042

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:e3461fb6713443c750b3a19932aa9670958e2f0c94267a4ea678c4d92bbc6c5e

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=sha256:940a66e88e4c9ee86888bb4a86dde850228de1fa2d96a8408b0973f8e0786b1e

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=sha256:2d2367311591adecf07a44fb5c30e686973d269a74aafb0c289c826443ae0dfb

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:c7f22e18978f24848e788fb8a6858216099b6c2e3e588215ed3b16689ad1ab2c

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.113810Z digest=sha256:f7e3e76c6126f7a58a0205ed4a3546f213af30cd9a478cdedb8afe6670f3bdba

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:f9e064fb29ab7b4ce90cadf9e80ffa529b6cc501dfd86336f495280ebb6d273f

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:e6f5269f3f37e8295abdaaaccd9c071610f5398755b05a8ec443028dc95f7959

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:c7a5b8f580d2d4ea1f2f791a6dccc4270b593118a563ecc8ad488f96f874f4d4

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:dafda54f0a54ac25bca0d11d97afb5d884f7778cba2d55052a33edc7a70cc1cd

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.522080Z digest=sha256:d85ce2d74ae95ad598bb8324931598bc38095a36f6c7e7c609d2670aa267ae28

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:da4348510713643241c5645c4c592628f7bfb2a0ecde7e22b73a789e31daaf7c

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

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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=sha256:2b2e6db1dc5325df0fa5ba55864dfac75030983bbc4b527b29ec046db8a53c58

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

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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:c214de565b6e541337a8699afca37be44b07063a3405dfe4cc5d88c07c486c6f

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=sha256:5416da0fd26f72c70c53934a654e3a4b4130a60e400b374595905d4a8f22d7ee

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=sha256:40ee8d47874234ba1609572161adbc7d768bff9719df1e5451a4dc4d6ebb68df

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:51.917168Z digest=sha256:fa866e66b2186c05e23ca490bec62fa7e943118972723878e5a02967dd0446ca

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=sha256:2c571344d09cdc5099b96a32d0453db928c68e92e18ba8db3a5fad23c5b8b303

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=sha256:7f05979754c9baec04e28b1257a8331d5370b74941ab944fc8762500440d9509

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=pdf_text observed=2026-08-04T16:43:52.205049Z digest=sha256:3327fc422d52b69abafbd6a19991c062c22935af9cadcd4afe3fbc4f471abb15

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=sha256:852cf8201628bb5407ba4eb1af9f4d393bf358e825df11981ab314ea3437b5f3

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:52.390659Z digest=sha256:7907c149199ca28ea39a346acffecaee352ccd098ed9d187a64df1ac70b57f8b

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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no resolver link, observed 2026-08-04T16:43:52.549895Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:52.549895Z digest=sha256:69648d6b0190e7534e2bd4aee815fcadcf96bf70da9fbcd1decb52313ffa04bb

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=pdf_text observed=2026-08-04T16:43:52.656001Z digest=sha256:e35004825cb450efee147f8cf82af2727a721c5ee864cd37fd08acced9fcfe19

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=sha256:04fa5e18a5224fa7feb6d5e9dce19bba7d8953f647c268db975d981bd7f5a1dd

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=sha256:45d25efd2206e344e6821a5d5fb1c2be1d279e868a64cf8b6d965fd3d9c0c712

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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source=pdf_text observed=2026-08-04T16:43:52.872479Z digest=sha256:4fa0919cca4eb3baa3c1fa533a4040090c6f81edfa3352cd965de0e15cb9e22c

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=pdf_text observed=2026-08-04T16:43:52.941308Z digest=sha256:bbe61cc9230c5b944a49dfcaf152a03988ab645a7d0fd4253cffd3e721fdd1d5

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:b558f26ba0ae0c01bbdfdfeddd53efa2954810038a70e07db373337abefd1fd7

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:53.124760Z digest=sha256:d83667d7b5bf80f6825c319eccbbac97e5cbe60ff47c0f4ede0cedda43703bba

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=sha256:783dd9b8d39b04c46d7cefe12113cd9d4ffd5a48246b9dbb52e9c12c817246ef

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=sha256:5bfe6d857417c2f92c7871c9d8546cde4bc72c8530fcb3c594a5ac1b360a02d3

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=sha256:35fce81cfc40ab41dba10173c020e2d4853b015815e8bb8fae79d1e6c36752a7

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:cf0bae32d5feaee0484ca0007ab6531ff7f632a51a89af0aa556d4ac92b8f929

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:a61901d3e578d2c156582b4a52d7a2224a87777e6366cab03be72fff3ab847cb

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:a4ed5d758e8a3ddc7a59c4f4b61b98f2003d1e65582bc470fdcc0bb9e4c32ee1

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=sha256:1b9f714fc31ae12568e2b9d8dc44d9da6e1529679b2f8ac8a4276334123d5a3a

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=sha256:2f7ffd1f02744996cdbba989c19fa8bdfee214c59661ef94d09b8715fa1c160c

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=sha256:4e2965735783f04232c45748d68f56a47f97b0a01556187375c74d418b98987a

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:e25fcb5b6703fd876d92fc602e10ce090204aec1e5562608e095b91391799e44

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=sha256:98fb290cef73e48b50ed958aab6f0c71cea6455b413277526993d12c9354cc45

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:54.173687Z digest=sha256:fb221499dafddcef3bb92b3480ce3f64888f37f9edaf8d3d428bfe6a8b5a6757

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:54.236724Z digest=sha256:2fcae79ca761495163421ee7f55cd22febb4d34a976d7b65700d25c8f0d797fd

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=sha256:08bb35f07898357f54ef7909570de4a12b124427ab3db7067eb3352c3722e333

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=sha256:22c44e092a89e1fb2fcc8adb172f4a74750a1ae1f260e64de64c34c2759c11fc

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:b0065cdbaaca04f920e50a9f6512d6c372d54603d3c543186093303037442b57

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:b5e4faa22d6f25cfe427ba2611c7b7917395a3ae74c46017cb6fc1410f088c0b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:54.588811Z digest=sha256:c7b3d2a91e38bd303ab923097474e198dda689b7043d3910a8eacd21618a5ada

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:54.635947Z digest=sha256:b130bf5af9823e572003505fffce2975908d02c681f57018de2431b3174ac4f3

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=sha256:85260bdc358da5827625636f38a0299343ebc8de589b319b0daf4bb74f3c4b45

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:54.756295Z digest=sha256:25f4220dcea358930aee9074ae7a6af4b0714e1e715d340cd01ef15c57e02fbc

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:54.826242Z digest=sha256:7f7e1146a9d8e49a613c2caea299d20637fd0d03868db2e90b0952f4f74c10cb

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=sha256:0260e49f9d9159c5b99a5ed6bd2b9a638e6af343d546edad6ff62f67f6f03ec2

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:ccddcd1fa8d0d5cddff7341353050b5ebd066cfe10c1294c4c00a1e4959aff58

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:55.049102Z digest=sha256:aa3a7f14df615b8428167615320b6e28bfafe6be16c15404813f6bc3b1d91e8e

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:c74e6024df57a340eee743b375493dc8a225ae6d07ac04679595b34b60fde9f1

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:55.235842Z digest=sha256:2e16baf3f10b329b62b04e3a2ac5527648cd321dbba1ce9c02849cd854bbcb68

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:55.336056Z digest=sha256:01b6d3058bb424445dc00af0e1fff7a6e680f0bcd2c8fc790c1eb28b4a8594ad

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:55.429162Z digest=sha256:b40c057859c81fee32f261d57d03a764448b95418fe2f4db4ea95ad932c606ac

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:55.501941Z digest=sha256:7fb915cae4bd75d93b7a7e4acf58b1853c8aa3a3b6fb1557a1fedcc436d75ec7

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:af4100c38fb400ae7e182fed85bc3df65a3fb94528d39fd81f204113720ab21c

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:55.664565Z digest=sha256:f67271131a436af732267598c3296350a1efcf9236226dda4ee12d821d6109e8

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=sha256:9fcde5e4b88202355c0b9b3ef41dacc920c45712a90c1a36947246606f261f20

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-reported events for the cited work

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source=pdf_text observed=2026-08-04T16:43:55.857870Z digest=sha256:f087ade73de6d73265c2abca2d929648af83e82bed98f2c7007c2e5f3600eefe

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:55.922539Z digest=sha256:8281a8086906c42285d90db142e507781f91499c3f3e5a5bb6a65e544fc8cb83

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=sha256:7dd6b67a12fd2f13414bcc5303b70d7228f5555be22e57087cf37f821a2e70b3

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

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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

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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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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=sha256:10e8107bb31c9d2279e99877e5ba2d1366f97fec26ecba40035d6ef216dd5520

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=sha256:3163d15a5f30a6bbde95899e7577f24c30c1cc01e03f75f2c9940381201cbc99

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=sha256:593732500fdba6584bf67c79712f102a7e5efb56f22cf6f475ab6e320dd696d8

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:e3574557755770270b4fa4f326674a93ca895fdacc5537f5ccac8283116e70ca

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:f7f5971394ba4ee4789a03197db487195d0d4b5c43a9e64c21e0124b2168ab33

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:d1d349eed791dd0a72c5fcf905fd3fce225fab7fb4964a5567e34180816ad71d

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-06T00:17:06.296762Z digest=sha256:b3faff907426256ca316029e85804c349d194579fde057e94ea117fb835b56a5