Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:10:46.701581Z
Paper Citation Record · LEDGER
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports
As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.19217.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
40 of 40 outbound references displayed
- verified exact0
- verified fuzzy24
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0cbf479e-e58c-4054-a24a-01bfb744648e · outbound
This paper cites Computed tomography and magnetic resonance imaging: past, present and future.European Respiratory Journal, 19(35 suppl):3s–12s, 2002.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Computed tomography and magnetic resonance imaging: past, present and future.European Respiratory Journal, 19(35 suppl):3s–12s, 2002
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:51.485949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e6857e0-9f0d-4a9e-b64b-987df1fcd7a5 · outbound
This paper cites Should we be concerned about the rapid increase in ct usage?Reviews on environmental health, 25(1):63–68, 2010.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Should we be concerned about the rapid increase in ct usage?Reviews on environmental health, 25(1):63–68, 2010
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:51.469459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1786067b-301c-4b76-864b-451275c3d7a2 · outbound
This paper cites Cognitive and system factors contribut- ing to diagnostic errors in radiology.American Journal of Roentgenology, 201(3):611–617, 2013.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Cognitive and system factors contribut- ing to diagnostic errors in radiology.American Journal of Roentgenology, 201(3):611–617, 2013
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:51.454129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2a811af5-e706-4dc4-974a-dacc0cbcc068 · outbound
This paper cites Automated radiology report generation: A review of recent advances.IEEE Reviews in Biomedical Engineer- ing, 2024.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Automated radiology report generation: A review of recent advances.IEEE Reviews in Biomedical Engineer- ing, 2024
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:51.433752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6ef77ae9-f7cf-4339-bb01-206237bc6697 · outbound
This paper cites Comparing diagnostic accuracy of radiolo- gists versus gpt-4v and gemini pro vision using image inputs from diagnosis please cases.Radiology, 312(1), July 2024.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Comparing diagnostic accuracy of radiolo- gists versus gpt-4v and gemini pro vision using image inputs from diagnosis please cases.Radiology, 312(1), July 2024
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:51.417716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9ce878c1-d2f8-4c0f-a405-be2a867a5b76 · outbound
This paper cites Evaluating large language models on medical evidence summarization.NPJ digital medicine, 6(1):158, 2023.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Evaluating large language models on medical evidence summarization.NPJ digital medicine, 6(1):158, 2023
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:51.368002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e1bfba31-07e9-48d4-aa5e-dd1b23790d72 · outbound
This paper cites Embracing large language models for medical applications: opportuni- ties and challenges.Cureus, 15(5), 2023.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Embracing large language models for medical applications: opportuni- ties and challenges.Cureus, 15(5), 2023
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:51.234294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a1cfe936-bb90-4e1f-9b69-6e983c5c4bdd · outbound
This paper cites A dataset of clinically generated visual questions and answers about radiology images.Scientific data, 5(1):1–10, 2018.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports A dataset of clinically generated visual questions and answers about radiology images.Scientific data, 5(1):1–10, 2018
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:51.108888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation edb9e078-c00c-4196-aa6c-2063a1b601e6 · outbound
This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports PathVQA: 30000+ Questions for Medical Visual Question Answering
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:43.293038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb21cd16-96b6-45dd-99f6-433cc62987a8 · outbound
This paper cites Slake: A semantically-labeled knowledge- enhanced dataset for medical visual question answering.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Slake: A semantically-labeled knowledge- enhanced dataset for medical visual question answering
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:50.786538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 428a250c-52c1-46a2-b798-e1b4bd39fbcc · outbound
This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:43.479305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 115ddd63-1894-4bef-9a33-8707ebcfab85 · outbound
This paper cites Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:50.479972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 88b74f26-1912-41a0-ab9b-ccc68fbf59d6 · outbound
This paper cites Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai.Advances in Neural Information Processing Systems, 37:94327–94427, 2024.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai.Advances in Neural Information Processing Systems, 37:94327–94427, 2024
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:50.210620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 05f1c7c1-6992-4164-925c-2b7b3d5f5976 · outbound
This paper cites MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:43.721022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8d1fb6e-ba17-4062-b407-3ce167e99ed7 · outbound
This paper cites Mme-survey: A comprehensive survey on evaluation of multimodal llms,.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Mme-survey: A comprehensive survey on evaluation of multimodal llms,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:49.811271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 69e2268f-8bd6-4168-b4ab-fcec64620eab · outbound
This paper cites Kim and Liem T.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Kim and Liem T
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:49.430981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c25235c2-3a65-424e-9262-fa9a93711142 · outbound
This paper cites Recovery at the edge of error: debunking the myth of the infallible expert.Journal of biomedical in- formatics, 44(3):413–424, 2011.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Recovery at the edge of error: debunking the myth of the infallible expert.Journal of biomedical in- formatics, 44(3):413–424, 2011
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:49.078302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e6c3db7a-8e7f-4548-898c-e984a7b7deae · outbound
This paper cites Overview of the mediqa-corr 2024 shared task on medical error detection and correction.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Overview of the mediqa-corr 2024 shared task on medical error detection and correction
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:48.799582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 06a40d3c-bd45-40a2-a5e0-0983b2bbd85b · outbound
This paper cites Potential of gpt-4 for detecting errors in radiology reports: implications for report- ing accuracy.Radiology, 311(1):e232714, 2024.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Potential of gpt-4 for detecting errors in radiology reports: implications for report- ing accuracy.Radiology, 311(1):e232714, 2024
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:48.626354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18e7c4a7-cc8a-4549-9bf3-db27cfb420f7 · outbound
This paper cites Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:44.228630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83010895-4fda-422d-8ff1-67939e9412c1 · outbound
This paper cites 3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports 3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:44.308483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5353d755-11e3-4d34-a00d-9f1d3d9cb799 · outbound
This paper cites Med3dvlm: An efficient vision-language model for 3d med- ical image analysis, 2025.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Med3dvlm: An efficient vision-language model for 3d med- ical image analysis, 2025
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:48.447620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0382bbba-26ec-4f69-8ff6-65e5914ada57 · outbound
This paper cites Medm-vl: What makes a good medical lvlm?,.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Medm-vl: What makes a good medical lvlm?,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:48.276586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 17dd16c3-2a9e-4bc6-b893-7ac6135e1c63 · outbound
This paper cites MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:44.901214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33204f4a-b552-4226-9903-d3757868ced9 · outbound
This paper cites ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:45.037970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44d7a051-144e-4d14-950f-827898976d04 · outbound
This paper cites Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports.Scientific data, 6(1):317, 2019.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports.Scientific data, 6(1):317, 2019
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:48.149757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 63cfcc53-e338-4855-aab8-75092ce45f50 · outbound
This paper cites MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:45.285853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdb16b3b-681a-4534-a31f-e49f2746f9b5 · outbound
This paper cites A foundation model utilizing chest ct volumes and radiology reports for supervised-level zero- shot detection of abnormalities.CoRR, 2024.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports A foundation model utilizing chest ct volumes and radiology reports for supervised-level zero- shot detection of abnormalities.CoRR, 2024
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:48.034543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4f65962b-c11c-4f1c-b76e-b002564a7ca5 · outbound
This paper cites RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:45.482676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f7c1a52-eae0-465f-8324-1dfff9514139 · outbound
This paper cites Cambrian-1: A fully open, vision-centric explo- ration of multimodal llms.Advances in Neural Information Processing Systems, 37:87310–87356, 2024.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Cambrian-1: A fully open, vision-centric explo- ration of multimodal llms.Advances in Neural Information Processing Systems, 37:87310–87356, 2024
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:47.904119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 99978041-19d1-4172-b7a5-b4633f686d55 · outbound
This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:45.655074Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d873694a-61ff-4e2e-8518-a284e4869ca4 · outbound
This paper cites The Llama 3 Herd of Models.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports The Llama 3 Herd of Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:45.736107Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21572ae9-4807-4a72-b881-70ca51cc44b3 · outbound
This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:45.868971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 470dc869-5bc2-4946-ac5e-dde649d80ed8 · outbound
This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:45.988146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d3e0d87-338f-4a8a-abce-dad19db84edf · outbound
This paper cites De- veloping Generalist Foundation Models from a Multi- modal Dataset for 3D Computed Tomography, April 2025.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports De- veloping Generalist Foundation Models from a Multi- modal Dataset for 3D Computed Tomography, April 2025
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:46.089541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89e9e2f8-049d-44d9-a7e0-021817e7a208 · outbound
This paper cites ROUGE: A Package for Automatic Evalu- ation of Summaries.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports ROUGE: A Package for Automatic Evalu- ation of Summaries
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:47.764041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49635171-5368-4672-9ab1-54707ea48709 · outbound
This paper cites Bleu: a Method for Automatic Evaluation of Ma- chine Translation.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports Bleu: a Method for Automatic Evaluation of Ma- chine Translation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:47.559786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cbd352a5-33a0-412f-8bd0-aeffdc2de515 · outbound
This paper cites METEOR: An Auto- matic Metric for MT Evaluation with Improved Correlation with Human Judgments.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports METEOR: An Auto- matic Metric for MT Evaluation with Improved Correlation with Human Judgments
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:10:47.393684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5fff4125-b51c-4d5c-ba59-8a7cedb4ce4e · outbound
This paper cites BERTScore: Evaluating Text Generation with BERT.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports BERTScore: Evaluating Text Generation with BERT
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:46.566102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e5a2bf0-69a9-4a05-8e98-d63b4cb7fd0a · outbound
This paper cites GREEN: Generative Radiology Report Evaluation and Error Notation.
MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports GREEN: Generative Radiology Report Evaluation and Error Notation
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:46.701581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.