The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Axl is an essential epithelial-to-mesenchymal transition-induced regulator of breast cancer metastasis and patient survival
Open accessAbstract
Metastasis underlies the majority of cancer-related deaths. Thus, furthering our understanding of the molecular mechanisms that enable tumor cell dissemination is a vital health issue. Epithelial-to-mesenchymal transitions (EMTs) endow carcinoma cells with enhanced migratory and survival attributes that facilitate malignant progression. Characterization of EMT effectors is likely to yield new insights into metastasis and novel avenues for treatment. We show that the presence of the receptor tyrosine kinase Axl in primary breast cancers independently predicts strongly reduced overall patient survival, and that matched patient metastatic lesions show enhanced Axl expression. We demonstrate that Axl is strongly induced by EMT in immortalized mammary epithelial cells that establishes an autocrine signaling loop with its ligand, Gas6. Epiallelic RNA interference analysis in metastatic breast cancer cells delineated a distinct threshold of Axl expression for mesenchymal-like in vitro cell invasiveness and formation of tumors in foreign and tissue-engineered microenvironments in vivo. Importantly, in two different optical imaging-based experimental breast cancer models, Axl knockdown completely prevented the spread of highly metastatic breast carcinoma cells from the mammary gland to lymph nodes and several major organs and increased overall survival. These findings suggest that Axl represents a downstream effector of the tumor cell EMT that is required for breast cancer metastasis. Thus, the detection and targeted treatment of Axl-expressing tumors represents an important new therapeutic strategy for breast cancer.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A growing body of literature supports an essential role for AXL in promoting metastasis within many tumor types, including breast (81), ovarian (82), and lung (83).”
From Hypoxic control of metastasis (2016) · cites this paper as [81]
Citations
Cites
The Epithelial-Mesenchymal Transition Generates Cells with Properties of Stem Cells
Mani, S. A., Guo, W., Liao, M.-J., Eaton, E. N., Ayyanan, A., Zhou, A. Y., Brooks, M. W., Reinhard, F., Zhang, C. C., Shipitsin, M. V., et al. (2008) · Cell · doi:10.1016/j.cell.2008.03.027 · Cited by 8,839
Epithelial–mesenchymal transitions in tumour progression
Thiery, J. P. (2002) · Nature reviews. Cancer · doi:10.1038/nrc822 · Cited by 6,767
Involvement of chemokine receptors in breast cancer metastasis
Müller, A., Homey, B., Soto, H., Ge, N., Catron, D., Buchanan, M. E., McClanahan, T., Murphy, E., Yuan, W., Wagner, S. N., et al. (2001) · Nature · doi:10.1038/35065016 · Cited by 5,340
Complex networks orchestrate epithelial–mesenchymal transitions
Thiery, J. P., & Sleeman, J. P. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1835 · Cited by 3,947
Twist, a Master Regulator of Morphogenesis, Plays an Essential Role in Tumor Metastasis
Yang, J., Mani, S. A., Donaher, J. L., Ramaswamy, S., Itzykson, R., Côme, C., Savagner, P., Gitelman, I., Richardson, A. L., & Weinberg, R. A. (2004) · Cell · doi:10.1016/j.cell.2004.06.006 · Cited by 3,917
Transitions between epithelial and mesenchymal states: acquisition of malignant and stem cell traits
Polyak, K., & Weinberg, R. A. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2620 · Cited by 3,302
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
Neve, R. M., Chin, K., Fridlyand, J., Yeh, J., Baehner, F. L., Fevr, T., Clark, L., Bayani, N., Coppé, J., Tong, F. K., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.10.008 · Cited by 3,224
Snail, Zeb and bHLH factors in tumour progression: An alliance against the epithelial phenotype?
Peinado, H., Olmeda, D., & Cano, A. (2007) · Nature reviews. Cancer · doi:10.1038/nrc2131 · Cited by 3,121
PETERSEN, O. W., Rønnov‐Jessen, L., Howlett, A. R., & Bissell, M. J. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.19.9064 · Cited by 1,096
Cancer Metastasis Is Accelerated through Immunosuppression during Snail-Induced EMT of Cancer Cells
Kudo‐Saito, C., Shirako, H., Takeuchi, T., & Kawakami, Y. (2009) · Cancer Cell · doi:10.1016/j.ccr.2009.01.023 · Cited by 872
Cited by
Sorted by citations
Items 501–595 of 595
A Hybrid Energy-Based and AI-Based Screening Approach for the Discovery of Novel Inhibitors of AXL
Lv, X., Kang, Y., Chi, X., Zhao, J., Pan, Z., Ying, X., Li, L., Pan, Y., Huang, W., & Wang, L. (2025) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.4c00511 · Cited by 1
Dual inhibition of AXL and MER kinase: scope for lung and breast cancer therapeutics
Sathe, B. D., Kumari, P., Kumar, H., Mane, M. S., Mudududdla, R., Baell, J. B., Kumar, R., Singh, S., Pawar, D. K., Kommi, D. N., et al. (2025) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2025.108824 · Cited by 1
Translational insights and clinical challenges of targeting cancer stem cells
Ahmed, M., Al-Haidari, A., Agarwal, S., Sun, J., Hammarlund, E. U., Rönnstrand, L., Pienta, K. J., Tatlı, Ö., & Kazi, J. U. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02887-y · Cited by 1
Aidiel, M., & Mutalib, M. A. (2026) · Scientific Reports · doi:10.1038/s41598-026-66144-6 · Cited by 1
Ko, H.-H., Tseng, K.-J., Wei, L., & Tsai, M.-H. (2010) · International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) · doi:10.1109/iihmsp.2010.8 · Cited by 1
The Tumor Microenvironment in Cutaneous Melanoma: Friend or Foe
Straume, O., & Schuster, C. (2017) · Springer eBooks · doi:10.1007/978-3-319-39147-2_21 · Cited by 1
Drivers of EMT and Immune Evasion
Brekken, R. A., & Wnuk-Lipińska, K. (2017) · Springer eBooks · doi:10.1007/978-3-319-39147-2_9 · Cited by 1
Stasi, R. D., Rosa, L. D., Izzi, G., & D’Andrea, L. D. (2024) · Molecules · doi:10.3390/molecules29020521 · Cited by 1
TAM family proteins and therapy resistance
McDaniel, N. K., Fischbach, S. R., Ondracek, O. J., Welke, N. B., Iida, M., & Wheeler, D. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817868-3.00008-1 · Cited by 1
Molecular organization of cells
Ahlstrom, J. D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818422-6.00006-x · Cited by 1
Drivers of EMT and Immune Evasion
Brekken, R. A., & Wnuk-Lipińska, K. (2022) · Springer eBooks · doi:10.1007/978-3-030-98950-7_11 · Cited by 1
Anticancer effect of superoxide dismutase on canine mammary gland tumour in vitro
Ko, B., An, J., Lee, J., Kim, K., Kim, T., Park, S., Chae, H., & Youn, H. (2023) · Veterinary Medicine and Science · doi:10.1002/vms3.1323 · Cited by 1
Molecular Organization of Cells
Ahlstrom, J. D. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-381422-7.10001-x · Cited by 1
Cancer exosomes harbor diverse hypoxia-targeted mRNAs and contribute toward tumor angiogenesisPreprint
Zhang, P., Lim, S. B., Jiang, K., Chew, T. W., Low, B. C., & Lim, C. T. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.12.147850 · Cited by 1
Creixell, M., Taylor, S. D., Gerritsen, J. S., Bae, S. Y., Jiang, M., Augustin, T., Loui, M., Boixo, C., Creixell, P., White, F. M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.20.563266 · Cited by 1
Role of Cancer Stem Cell in Mammary Carcinogenesis and Its Clinical Implication
Liu, Y., & Liu, S. (2013) · Springer eBooks · doi:10.1007/978-94-007-6262-6_17
Mannelqvist, M. (2011) · NORA - Norwegian Open Research Archives
Song, X. (2011) · Digital Commons-TMC (Texas Medical Center)
Endocrine Resistance and Epithelial Mesenchymal Transition in Breast Cancer
Al, S., & Yunus, A. (2011) · InTech eBooks · doi:10.5772/20707
The Soluble Form of the Axl Receptor Tyrosine Kinase
Ekman, C. J. (2010) · Lund University Publications (Lund University)
Axl RTK and microRNAs in urogenital cancers
Fritz, H. (2015) · Lund University Publications (Lund University)
Donner, A. L. (2014) · Science-Business eXchange · doi:10.1038/scibx.2014.274
BIOLOGICAL MECHANISMS IN OVARIAN CARCINOGENESIS INITIATION AND PROGRESSION
Lozneanu, L. (2013)
Anchor or Accelerate – A Study on Cancer Cell Adhesion and Motility
Vuoriluoto, K. (2010) · UTUPub (University of Turku)
The role of Axl in melanoma metastasis
Kang, J. (2015) · NORA - Norwegian Open Research Archives
Torka, R., Pénzes, K., Baumann, C., Gusenbauer, S., Szabadkai, I., Őrfi, L., Kéri, G., & Ullrich, A. (2014) · European Journal of Cancer · doi:10.1016/s0959-8049(14)50706-x
Study of Molecular Mechanisms of Sensitivity and Resistance to EGFR-Targeted Therapy in Lung Cancer
Zhang, Z. (2010) · OhioLink ETD Center (Ohio Library and Information Network)
Use of genetically engineered mouse models in preclinical drug development
Creedon, H. (2015) · ERA
In Silico Approach to Identify Potential Inhibitors for Axl-Gas6 Signaling
Peter, S. C., Mannu, J., & Mathur, P. P. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-6740-7_17
Metastatic Cutaneous Squamous Cell Carcinomas
García‐Díez, I., & Toll, A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804003-4.00011-6
Immuntherapie gegen Tumorstammzellen bei Plattenepithelkarzinomen im Kopf-Hals-Bereich
Coordes, A., Ochsenreither, S., Qian, X., Hofmann, V. M., Meyer, J., Hoffmann, T. K., Kaufmann, A. M., & Albers, A. E. (2017) · Laryngo-Rhino-Otologie · doi:10.1055/s-0043-101698
Receptor Tyrosine Kinase AXL is a Potential Therapeutic Target in Muscle-Invasive Bladder Cancer
Al-Mahmoodi, H. (2018) · Leicester Research Archive (University of Leicester)
AXL receptor tyrosine kinase regulates Apolipoprotein E expression
Zhao, W. (2019) · cIRcle (University of British Columbia) · doi:10.14288/1.0372324
Dinutanayo, W. W., Keilholz, I. T., & Braunholz, D. (2019) · Makara Journal of Health Research · doi:10.7454/msk.v23i1.10149
Molecular Organization of Cells
Ahlstrom, J. D. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-398358-9.00008-2
Molecular Organization of Cells
Ahlstrom, J. D. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-385942-6.00006-8
Metastatic cancer: How one can address the therapeutic challenge
Jain, S., Raza, K., Agrawal, A. K., & Vaidya, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817846-1.00023-0
508 Different neoantigen expression patterns impact the strength of anti-tumor immune responses
Nguyen, K. B., Spranger, S., & Copeland, C. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-sitc2020.0508
Statistical Modeling of High-throughput Sequencing Data and Spatially Resolved Transcriptomic Data
Yin, S. (2020) · SMU Scholar (Southern Methodist University)
Sevoflurane Modulates Akt Isoforms In Triple Negative Breast Cancer Cell LinePreprint
Tiron, C. E., Pătrășcanu, E., Postu, P. A., Văcărean-Trandafir, I.-C., Tiron, A., & Grigoraș, I. (2020) · doi:10.21203/rs.3.rs-21784/v1
Self-citationApplication of CRISPR-Cas9 to interrogate novel gene functions in cutaneous melanoma
Matsuyama, L. S. A. S. (2021) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.9.2021.tde-23022022-155211
Halmos, B., & Liu, X. (2015) · Springer eBooks · doi:10.1007/978-1-4614-6613-0_114-1
Molecular Organization of Cells
Ahlstrom, J. D. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809880-6.00001-1
Halmos, B., & Liu, X. (2017) · Springer eBooks · doi:10.1007/978-1-4419-0717-2_114
The Role of AXL Receptor Tyrosine Kinase in Cancer Cell Plasticity and Therapy Resistance
Lotsberg, M. L., Davidsen, K. T., Peters, S. D., Haaland, G. S., Rayford, A. J., Lorens, J. B., & Engelsen, A. S. T. (2022) · Springer eBooks · doi:10.1007/978-3-030-98950-7_18
Self-citationRedondo, G. M., Malta, F. S., da Silva, V. S., & Bastos, M. F. (2021) · Colloquium health and education · doi:10.37497/colloquium.v1i2.12
Role of epithelial to mesenchymal transition in the resistant mechanism of EGFR-TKIs
Adachi, Y., & Ebi, H. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-822833-3.00005-x
Kirane, A., Ludwig, K. F., Sorrelle, N. B., Haaland, G. S., Sandal, T., Ranaweera, R., Toombs, J. E., Wang, M., Dineen, S. P., Micklem, D., et al. (2023) · doi:10.1158/0008-5472.22405364
Self-citationDavra, V., Kumar, S., Geng, K., Calianese, D. C., Mehta, D., Gadiyar, V., Kasikara, C., Lahey, K. C., Chang, Y., Wichroski, M. J., et al. (2023) · doi:10.1158/0008-5472.c.6512515.v1
Data from AXL Inhibitor TP-0903 Reduces Metastasis and Therapy Resistance in Pancreatic Cancer
Zhang, Y., Arner, E. N., Rizvi, A., Toombs, J. E., Huang, H., Warner, S. L., Foulks, J. M., & Brekken, R. A. (2023) · doi:10.1158/1535-7163.c.6543388
Data from WNK1 Enhances Migration and Invasion in Breast Cancer Models
Jaykumar, A. B., Jung, J.-U., Parida, P. K., Dang, T. T., Wichaidit, C., Kannangara, A. R., Earnest, S. A., Goldsmith, E. J., Pearson, G. W., Malladi, S., et al. (2023) · doi:10.1158/1535-7163.c.6543072
Zammarchi, F., Havenith, K., Chivers, S., Hogg, P., Bertelli, F., Tyrer, P. J., Janghra, N., Reinert, H. W., Hartley, J. A., & van Berkel, P. H. (2023) · doi:10.1158/1535-7163.c.6543352
Zammarchi, F., Havenith, K., Chivers, S., Hogg, P., Bertelli, F., Tyrer, P. J., Janghra, N., Reinert, H. W., Hartley, J. A., & van Berkel, P. H. (2023) · doi:10.1158/1535-7163.c.6543352.v1
Data from AXL Is a Key Factor for Cell Plasticity and Promotes Metastasis in Pancreatic Cancer
Du, W., Phinney, N. Z., Huang, H., Wang, Z., Westcott, J. M., Toombs, J. E., Zhang, Y., Beg, M. S., Wilkie, T. M., Lorens, J. B., et al. (2023) · doi:10.1158/1541-7786.c.6545003.v1
Self-citationAdvances in targets in inflammatory breast cancer
Iwase, T., Wang, X., Phi, L. T., Sridhar, N., Ueno, N. T., & Lee, J. (2024) · International review of cytology · doi:10.1016/bs.ircmb.2023.10.005
Sinha, S., Guo, R., Busso, M. D. D., Han, W., Boysen, J. C., Wellik, L. E., Ghosh, A. K., & Kay, N. E. (2024) · British Journal of Cancer · doi:10.1038/s41416-024-02752-1
Effect of silibinin on GAS6/sAXL and JAK/STAT pathways in human cholangiocarcinoma cell line
Caliskan, Z. N., Özel, M., Başkol, M., & Başkol, G. (2024) · Turkish Journal of Biochemistry · doi:10.1515/tjb-2022-0275
Aguilera, T. A., Gonzalez, I., Elghonaimy, E. A., Zhang, Q., Montgomery, I., Leung, P. Q., Rodriguez, A., Diegeler, S., Swancutt, K. L., & Brekken, R. A. (2025) · Research Square · doi:10.21203/rs.3.rs-5569516/v1
Parimita, S., Das, A., & Samanta, S. (2025) · Gene Reports · doi:10.1016/j.genrep.2025.102209
Vestigial-like family member 1 (VGLL1): An emerging candidate in tumor progression
Parimita, S., Das, A., & Samanta, S. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.151889
Christakou, E., Kursula, P., & Micklem, D. (2025) · Bioscience Reports · doi:10.1042/bsr20253747
Self-citationRampa, D. R., Fuson, J. A., Liu, H., Pan, M., Qin, Y., Deng, Y., Ueno, N. T., & Lee, J. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26188896
Identification et optimisation de nouvelles séries chimiques anti-kinases
Feneyrolles, C. (2014) · theses.fr (ABES) · doi:10.70675/2ec89e77zde93z4684zbd60zb6f7afa532b9
Signalisation et ciblage thérapeutique du récepteur tyrosine kinase AXL dans les cancers
Leconet, W. (2014) · theses.fr (ABES) · doi:10.70675/e91475a6z3b26z42ecza153zdc13a97fb5ec
Impact du ciblage du domaine de liaison de HIF-1α avec HIF-1β sur le paysage immunitaire du mélanome
Lequeux, A. (2020) · theses.fr (ABES) · doi:10.70675/a29d12dbz79c1z4d37za978z2e2319131c82
Wang, L., Li, L., Wang, J., Garapati, K., Li, F., Khan, M. K. H., Kong, X., Bakshi, H., Jiang, D., Zheng, S., et al. (2026) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2026.101574
Sun, M., Wu, S., Zhong, Y., Xi, N., & 曹迁永 (2026) · ACS Omega · doi:10.1021/acsomega.6c04179
The promising role of flavonoids in inhibiting epithelial to mesenchymal transition
Kashyap, D., Sharma, R., Munda, V. S., Garg, V. K., Thakur, S., Sharma, D., Okpala, C. O. R., & Dhiman, V. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-42855-5.00010-8
Zhang, L. J., Li, H., Sun, S., Li, N., Zhao, S., Zhao, Z., & Li, M. (2026) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2026.189649
Creixell, M., Taylor, S. D., Gerritsen, J. S., Jiang, M., Bae, S. Y., Augustin, T., Loui, M., Boixo, C., Minamino, S., Gong, V., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117717
AXL at the nexus of therapeutic resistance, tumor vascularization, and immune evasion in cancer
Hoffman, H. L., Handorf, K. M. V., Behrmann, C. A., Lathia, J. D., & Plas, D. R. (2026) · iScience · doi:10.1016/j.isci.2026.117552
Fennell, D. A., Działo, J., Zhang, M., Bzura, A., Poile, C., Baitei, E. Y., Dungey, M. R., Branson, A., King, A., Barber, S. R., et al. (2026) · medRxiv · doi:10.64898/2026.09.22.26363540
Self-citationSridhar, S., Mohan, K., Kizhake, S., Natarajan, A., Kelly, D. L., & Mathew, G. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.13.758818
Distinct ROS-adaptive and OXPHOS-dependent cellular programs underlie Ewing sarcoma heterogeneity
Sabapathy, Y., Subramani, J., & Gopisetty, G. (2026) · Journal of Proteomics · doi:10.1016/j.jprot.2026.105752
BindingDB Entry 50047507: AXL Inhibitors in Cancer: A Medicinal Chemistry Perspective.
BindingDB (2017) · UC San Diego · doi:10.7270/q24m96fs
BindingDB Entry 50020942: Recent discovery and development of AXL inhibitors as antitumor agents.
BindingDB (2025) · UC San Diego · doi:10.7270/q2z89j03
BindingDB (2021) · UC San Diego · doi:10.7270/q2n301fs
Metadata
- Authors
- Gjerdrum, C., Tiron, C., Høiby, T., Stefansson, I., Haugen, H., Sandal, T., Collett, K., Li, S., McCormack, E., Gjertsen, B. T., Micklem, D. R., Akslen, L. A., Glackin, C., & Lorens, J. B.
- Affiliations
- Department of Biomedicine
- The Gade Institute, Pathology Section
- Beckman Research Institute (US)
- Haukeland University Hospital (NO)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2009-12-28
- Volume
- 107
- Issue
- 3
- Pages
- 1124-1129
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2824310
- OpenAlex
- W2003445065
- Cited by
- 594
- References
- 29
- Citations by year
- 2026: 14 · 2025: 30 · 2024: 21 · 2023: 44 · 2022: 34 · 2021: 37 · 2020: 55 · 2019: 39 · 2018: 37 · 2017: 45 · 2016: 52 · 2015: 42 · 2014: 40 · 2013: 29 · 2012: 27
- FWCI
- 12.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Helse Vest
- Universitetet i Bergen
- Norges Forskningsråd
- National Institutes of Health
- National Cancer Institute (R21CA107245, CA107245)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mechanisms of cancer metastasis
- Keywords
- AXL, epithelial-mesenchymal transition, breast cancer metastasis, Gas6, autocrine signaling, patient survival, tumor invasion, lymph node metastasis, therapeutic target, mammary epithelial cells
- MeSH terms
- Axl Receptor Tyrosine Kinase, Animals, Breast Neoplasms, Epithelial Cells, Female, Humans, Mesoderm, Neoplasm Invasiveness, Neoplasm Metastasis, Prognosis, Proto-Oncogene Proteins, Oncogene Proteins, Survival Analysis, Mice, SCID, Mice, Inbred NOD, Receptor Protein-Tyrosine Kinases, Tissue Engineering, RNA Interference, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review