Paper Citation Record · LEDGER

Can Large Language Models Match the Conclusions of Systematic Reviews?

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 3 inbound Pith citation observations for arXiv:2505.22787.

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

pith.paper-citation-record.v1
2505.22787 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:45.754584Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:03:59.798126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:41.432897Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
verified fuzzy33
unresolved22
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abfb9d70-afe7-4cb1-855e-741140657f6c · outbound

This paper cites Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases.

Can Large Language Models Match the Conclusions of Systematic Reviews? Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:51.999188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d6b0df0-f2ba-4cb7-817e-201fb4cac29a · outbound

This paper cites an unresolved cited work.

Can Large Language Models Match the Conclusions of Systematic Reviews? Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:05:51.869782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8823c06f-d137-4b0f-991b-818d8f54718c · outbound

This paper cites The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review.

Can Large Language Models Match the Conclusions of Systematic Reviews? The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:41.788855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22686ff8-3484-41d7-a983-d27f398c74c3 · outbound

This paper cites How to optimize the systematic review process using ai tools.

Can Large Language Models Match the Conclusions of Systematic Reviews? How to optimize the systematic review process using ai tools

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:51.728714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ef3b132-53c3-4c9f-b155-040c13c904d1 · outbound

This paper cites Future of evidence synthesis: Automated, living, and interactive systematic reviews and meta-analyses.

Can Large Language Models Match the Conclusions of Systematic Reviews? Future of evidence synthesis: Automated, living, and interactive systematic reviews and meta-analyses

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:51.608818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41609f5e-f087-4fa1-a9c7-11f8ba592707 · outbound

This paper cites Deep research system card, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Deep research system card, 2025

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:51.433866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94eaa987-14a8-4cf7-9b2b-938abb39df49 · outbound

This paper cites Gemini deep research – your personal research assistant, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Gemini deep research – your personal research assistant, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:51.336859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f59b63d-401a-4432-b88c-b2d27d28c6cc · outbound

This paper cites Elicit: The ai research assistant, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Elicit: The ai research assistant, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:51.172471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00702845-aabc-4db0-8d57-5d07882d3dff · outbound

This paper cites Open evidence: Ai-powered medical information platform, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Open evidence: Ai-powered medical information platform, 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:51.025871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 63bb4f11-83cd-4faa-8b6c-af94bbb4ac6d · outbound

This paper cites Food and Drug Administration.

Can Large Language Models Match the Conclusions of Systematic Reviews? Food and Drug Administration

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:50.851003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd923c07-34dd-4cab-ae8e-3e618ca7096e · outbound

This paper cites Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report.

Can Large Language Models Match the Conclusions of Systematic Reviews? Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:42.369820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35007af2-d8e3-4837-b6b3-21daba273a0b · outbound

This paper cites Can large language models reason about medical questions? Patterns , 5(3), 2024.

Can Large Language Models Match the Conclusions of Systematic Reviews? Can large language models reason about medical questions? Patterns , 5(3), 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:50.753052Z

Source-reported events for the cited work

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Observation 182459d2-29d9-417e-9a0e-fbbf805386af · outbound

This paper cites Medalign: A clinician-generated dataset for instruction following with electronic medical records.

Can Large Language Models Match the Conclusions of Systematic Reviews? Medalign: A clinician-generated dataset for instruction following with electronic medical records

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:50.618921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85ac5650-3983-4a41-90cf-dd91d884f93c · outbound

This paper cites Artificial intelligence to automate network meta-analyses: Four case studies to evaluate the potential application of large language models.

Can Large Language Models Match the Conclusions of Systematic Reviews? Artificial intelligence to automate network meta-analyses: Four case studies to evaluate the potential application of large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:50.445363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e81b9be-4c87-4a88-86df-6691597059e5 · outbound

This paper cites Applications of the natural language processing tool chatgpt in clinical practice: Comparative study and augmented systematic review.

Can Large Language Models Match the Conclusions of Systematic Reviews? Applications of the natural language processing tool chatgpt in clinical practice: Comparative study and augmented systematic review

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:50.285844Z

Source-reported events for the cited work

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Observation 9f2c0cdb-5233-4d15-9719-d9efeaca81e6 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Match the Conclusions of Systematic Reviews? Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:05:50.100641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38605347-300d-4d31-a656-f16fa7949a8f · outbound

This paper cites Assessing the risk of bias in randomized clinical trials with large language models.

Can Large Language Models Match the Conclusions of Systematic Reviews? Assessing the risk of bias in randomized clinical trials with large language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:49.934019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 98e86c26-42ec-4b84-b016-a820ada89bb2 · outbound

This paper cites BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.

Can Large Language Models Match the Conclusions of Systematic Reviews? BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:42.893682Z

Source-reported events for the cited work

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Observation d67b7e0e-e96d-483a-86f3-58ec3d060384 · outbound

This paper cites o ws, Maria-Inti Metzendorf, Felix Heilmeyer, Waldemar Siemens, Christian Haverkamp, Daniel B \.

Can Large Language Models Match the Conclusions of Systematic Reviews? o ws, Maria-Inti Metzendorf, Felix Heilmeyer, Waldemar Siemens, Christian Haverkamp, Daniel B \

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:49.738498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25f5ae01-0e52-451e-8498-0e05348f9d19 · outbound

This paper cites Generative artificial intelligence use in evidence synthesis: A systematic review.

Can Large Language Models Match the Conclusions of Systematic Reviews? Generative artificial intelligence use in evidence synthesis: A systematic review

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:49.615255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ba71cfcd-0fdc-43bd-b69e-7113e17e0ee8 · outbound

This paper cites M ed REQAL : Examining medical knowledge recall of large language models via question answering.

Can Large Language Models Match the Conclusions of Systematic Reviews? M ed REQAL : Examining medical knowledge recall of large language models via question answering

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:49.417678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ee122c0-75c4-4ee7-9002-b1a475e4b530 · outbound

This paper cites H ealth FC : Verifying health claims with evidence-based medical fact-checking.

Can Large Language Models Match the Conclusions of Systematic Reviews? H ealth FC : Verifying health claims with evidence-based medical fact-checking

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:49.287045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 116dc038-7c89-44ff-94f7-91293199787a · outbound

This paper cites What evidence do language models find convincing?, 2024.

Can Large Language Models Match the Conclusions of Systematic Reviews? What evidence do language models find convincing?, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:49.071576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d2fea88-ace9-4c10-86be-61cdf76911e7 · outbound

This paper cites Clasheval: Quantifying the tug-of-war between an llm's internal prior and external evidence, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Clasheval: Quantifying the tug-of-war between an llm's internal prior and external evidence, 2025

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:48.888788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2fe2347a-368f-481e-9843-adec69ddf050 · outbound

This paper cites Conflictbank: A benchmark for evaluating the influence of knowledge conflicts in llm, 2024.

Can Large Language Models Match the Conclusions of Systematic Reviews? Conflictbank: A benchmark for evaluating the influence of knowledge conflicts in llm, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:48.713111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 153c3248-884e-4b22-b754-fe928d4bb7b1 · outbound

This paper cites Untangle the knot: Interweaving conflicting knowledge and reasoning skills in large language models, 2024.

Can Large Language Models Match the Conclusions of Systematic Reviews? Untangle the knot: Interweaving conflicting knowledge and reasoning skills in large language models, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:48.535178Z

Source-reported events for the cited work

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Observation c70947c1-3b0c-4aa1-b33e-b3a69558d131 · outbound

This paper cites How to write a cochrane systematic review.

Can Large Language Models Match the Conclusions of Systematic Reviews? How to write a cochrane systematic review

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:48.332514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0a7dd8d-16d1-4069-84d7-ff2ff483006e · outbound

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Can Large Language Models Match the Conclusions of Systematic Reviews? Quality of cochrane reviews

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:48.191484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ee4b7c3-0587-4990-a353-0b1af38a86f4 · outbound

This paper cites What is a cochrane review? Epidemiol Psychiatr Sci , 20(3):231--233, Sep 2011.

Can Large Language Models Match the Conclusions of Systematic Reviews? What is a cochrane review? Epidemiol Psychiatr Sci , 20(3):231--233, Sep 2011

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:47.996527Z

Source-reported events for the cited work

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Observation f5763b0a-a6c1-4835-8b0a-348f3ea98e09 · outbound

This paper cites Biomedica: An open biomedical image-caption archive, dataset, and vision-language models derived from scientific literature, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Biomedica: An open biomedical image-caption archive, dataset, and vision-language models derived from scientific literature, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:47.846344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57ebdff6-cfed-4775-83c3-ef9ba273a830 · outbound

This paper cites Bethesda (MD): National Center for Biotechnology Information (US), 2010-.

Can Large Language Models Match the Conclusions of Systematic Reviews? Bethesda (MD): National Center for Biotechnology Information (US), 2010-

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:47.705602Z

Source-reported events for the cited work

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Observation ddc25f37-4587-4ab6-9032-9003f348532f · outbound

This paper cites an unresolved cited work.

Can Large Language Models Match the Conclusions of Systematic Reviews? Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:05:47.583430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2eebce0a-e7a3-4f98-b7aa-e7752544f1f9 · outbound

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Can Large Language Models Match the Conclusions of Systematic Reviews? Assessment of the strength of recommendation and quality of evidence: Grade checklist

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:47.424267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff297756-cfd5-48f9-916d-c8f0ef492680 · outbound

This paper cites Openai o1 system card, 2024.

Can Large Language Models Match the Conclusions of Systematic Reviews? Openai o1 system card, 2024

Reference 34

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This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 35

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Observation a2576a7f-030f-4e82-b9a4-b5681c7e2546 · outbound

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Can Large Language Models Match the Conclusions of Systematic Reviews? Open Thoughts

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:47.248285Z

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Observation 74080c23-941b-4d06-9368-74c6f7e90f55 · outbound

This paper cites Gpt-4 technical report, 2024.

Can Large Language Models Match the Conclusions of Systematic Reviews? Gpt-4 technical report, 2024

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 305a4698-4bc5-4ff5-8564-cad8cac40ee3 · outbound

This paper cites Qwen3, April 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Qwen3, April 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:44.486772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f7c6598-9e4c-44fa-b82c-930f310679ac · outbound

This paper cites The llama 4 herd, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? The llama 4 herd, 2025

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:47.057232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7222a5f-1b41-44f6-817a-c64f0cd26817 · outbound

This paper cites Huatuogpt-o1, towards medical complex reasoning with llms, 2024.

Can Large Language Models Match the Conclusions of Systematic Reviews? Huatuogpt-o1, towards medical complex reasoning with llms, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:44.623175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 935206a9-ac73-4ecf-90e1-0bddbf237818 · outbound

This paper cites Openbiollms: Advancing open-source large language models for healthcare and life sciences.

Can Large Language Models Match the Conclusions of Systematic Reviews? Openbiollms: Advancing open-source large language models for healthcare and life sciences

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:46.888598Z

Source-reported events for the cited work

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Observation 01a60bc0-9a29-433e-9a9d-b6db76a4c5b4 · outbound

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Can Large Language Models Match the Conclusions of Systematic Reviews? Refinedocumentschain

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:46.742395Z

Source-reported events for the cited work

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Observation 0b21fda6-023b-4ded-8cba-254e44ea342a · outbound

This paper cites An introduction to the bootstrap.

Can Large Language Models Match the Conclusions of Systematic Reviews? An introduction to the bootstrap

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:46.604185Z

Source-reported events for the cited work

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Observation d6ba0e78-aec5-4990-8dad-eee64931b492 · outbound

This paper cites Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models.

Can Large Language Models Match the Conclusions of Systematic Reviews? Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:44.983710Z

Source-reported events for the cited work

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Observation a9a25759-e103-4159-9809-9ffbe1bc9358 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

Can Large Language Models Match the Conclusions of Systematic Reviews? Long-context LLMs Struggle with Long In-context Learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.055957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1bc1f40-dfa1-4665-8f19-8e8aece3d297 · outbound

This paper cites Large language models are overconfident and amplify human bias.

Can Large Language Models Match the Conclusions of Systematic Reviews? Large language models are overconfident and amplify human bias

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.149556Z

Source-reported events for the cited work

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Observation f740f987-927e-461a-aba9-43f980797571 · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Can Large Language Models Match the Conclusions of Systematic Reviews? Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.189971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 607a5fc8-c3fc-456a-bcae-c39cd7a68ee4 · outbound

This paper cites Taming Overconfidence in LLMs: Reward Calibration in RLHF.

Can Large Language Models Match the Conclusions of Systematic Reviews? Taming Overconfidence in LLMs: Reward Calibration in RLHF

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.303527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c88dedd6-9da0-4f3b-bbde-83e6c12e97fa · outbound

This paper cites Fine-tuning is fine, if calibrated.

Can Large Language Models Match the Conclusions of Systematic Reviews? Fine-tuning is fine, if calibrated

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:46.443913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ec6626c-2a83-4b3f-978a-1cc08e17c7ec · outbound

This paper cites Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data.

Can Large Language Models Match the Conclusions of Systematic Reviews? Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.447639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2586f8-4202-4c76-92c1-6f458ae2bf17 · outbound

This paper cites FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?.

Can Large Language Models Match the Conclusions of Systematic Reviews? FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.491178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4fce9a9-c421-4326-add9-a0d887425872 · outbound

This paper cites Deepseek-v3 technical report, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Deepseek-v3 technical report, 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.578828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb222eb-0441-4a2d-a7ac-c47d6547eed8 · outbound

This paper cites The llama 3 herd of models, 2024.

Can Large Language Models Match the Conclusions of Systematic Reviews? The llama 3 herd of models, 2024

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.620661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adbe0757-7821-4c02-bd0d-a20069d1bb3f · outbound

This paper cites Qwen2.5 technical report, 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Qwen2.5 technical report, 2025

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.680263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c7b44d0-a5e8-48b7-b2d3-b21b530bc83d · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.

Can Large Language Models Match the Conclusions of Systematic Reviews? Qwq-32b: Embracing the power of reinforcement learning, March 2025

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:45.754584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b9ba4ec6-9052-4ae7-a9b4-e667da51b05f · inbound

Treatment, evidence, imitation, and chat cites this paper.

Treatment, evidence, imitation, and chat Can Large Language Models Match the Conclusions of Systematic Reviews?

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:22:10.764062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0aeb246b-c148-408e-aa59-a286729bfe92 · inbound

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison cites this paper.

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison Can Large Language Models Match the Conclusions of Systematic Reviews?

Reference 153

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:26:48.026099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94e14c8b-1f7f-4c93-9106-9f4d9a7c0e67 · inbound

Can AI Agents Synthesize Scientific Conclusions? cites this paper.

Can AI Agents Synthesize Scientific Conclusions? Can Large Language Models Match the Conclusions of Systematic Reviews?

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:47:41.435176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.