Every finding on this page was produced by a versioned detector, signed with the Pith Ed25519 key, and emitted to the paper's Open Graph Bundle. No human curates this feed. The resolver decides.
critical
doi_compliance
unresolvable identifier · ref #84
Identifier '10.5555/3495724' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Wu D., Xia S.-T. and Wang Y . (2020). Adversarial weight perturbation helps robust generalization. Adv. Neural Inf. Process. Syst. 33:2958-2969. DOI:10.5555/3495724
10.5555/3495724
critical
doi_compliance
unresolvable identifier · ref #74
Identifier '10.5555/3042573.3042761' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Biggio B., Nelson B. and Laskov P . (2012). Poisoning attacks against support vector machines. arXiv preprint. DOI:10.5555/3042573.3042761
10.5555/3042573.3042761
critical
doi_compliance
unresolvable identifier · ref #71
Identifier '10.5555/3241094' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Tramèr F ., Zhang F ., Juels A., et al. (2016). Stealing machine learning models via prediction APIs. Proc. USENIX Secur. Symp. 2016:601-618. DOI:10.5555/3241094
10.5555/3241094
critical
doi_compliance
unresolvable identifier · ref #27
Identifier '10.1016/j.artint.2024' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Leyton-Brown K., Mausam., Nandwani Y ., et al. (2024). Matching papers and reviewers at large conferences. Ar- tif. Intell. 331:104119. DOI:10.1016/j.artint.2024
10.1016/j.artint.2024
critical
doi_compliance
unresolvable identifier · ref #141
Identifier '10.1186/s41073-02300133-5' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Hosseini M. and Horbach S. (2023). Fighting reviewer fa- tigue or amplifying bias. Considerations and recommenda- tions for use of ChatGPT and other large language mod- els in scholarly peer review. Res. Integr. Peer Rev. 8:4. DOI:10.1186/s41073-02300133-5
10.1186/s41073-02300133-5
critical
doi_compliance
unresolvable identifier · ref #120
Identifier '10.48550/arxiv.2506' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Zhu C., Li Y ., Rao B., et al. (2025). SPA: Towards more stealth and persistent backdoor attacks in federated learning. arXiv preprint. DOI:10.48550/arXiv.2506
10.48550/arxiv.2506
critical
doi_compliance
unresolvable identifier · ref #125
Identifier '10.5555/3618408.3619699' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Shi F ., Chen X., Misra K., et al. (2023). Large lan- guage models can be easily distracted by irrelevant con- text. Proc. Int. Conf. Mach. Learn. 2023:31210-31227. DOI:10.5555/3618408.3619699
10.5555/3618408.3619699
critical
doi_compliance
unresolvable identifier · ref #29
Identifier '10.48550/arxiv.2402' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Gao Z., Brantley K. and Joachims T. (2024). Reviewer2: Optimizing review generation through prompt generation. arXiv preprint. DOI:10.48550/arXiv.2402
10.48550/arxiv.2402
critical
doi_compliance
unresolvable identifier · ref #126
Identifier '10.18653/v1/2025.findingsacl.1059' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Dougrez-Lewis J., Akhter M.E., Ruggeri F ., et al. (2025). Assessing the the reasoning capabilities of llms in the context of evidence-based claim verification. Find- ings Assoc. Comput. Linguist. ACL 2025:20604-20628. DOI:10.18653/v1/2025.findingsacl.1059
10.18653/v1/2025.findingsacl.1059
critical
doi_compliance
unresolvable identifier · ref #105
Identifier '10.48550/arxiv.2508' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Tonglet J., Zimny J., Tuytelaars T., et al. (2025). Is this chart lying to me? Automating the detection of misleading visualizations. arXiv preprint. DOI:10.48550/arXiv.2508
10.48550/arxiv.2508
critical
doi_compliance
unresolvable identifier · ref #76
Identifier '10.48550/arxiv.1708' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Gu T., Dolan-Gavitt B. and Garg S. (2017). Badnets: Iden- tifying vulnerabilities in the machine learning model supply chain. arXiv preprint. DOI:10.48550/arXiv.1708
10.48550/arxiv.1708
critical
doi_compliance
unresolvable identifier · ref #28
Identifier '10.48550/arxiv.2306' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Liu R. and Shah N.B. (2023). Reviewergpt? An exploratory study on using large language models for paper reviewing. arXiv preprint. DOI:10.48550/arXiv.2306
10.48550/arxiv.2306
critical
doi_compliance
unresolvable identifier · ref #6
Identifier '10.48550/arxiv:2501.04306' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Luo Z., Y ang Z., Xu Z., et al. (2025). Llm4sr: A survey on large language models for scientific research. arXiv preprint. DOI:10.48550/arXiv:2501.04306
10.48550/arxiv:2501.04306
critical
doi_compliance
unresolvable identifier · ref #22
Identifier '10.1007/978-3031-92611-2_5' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Malmqvist L. (2025). Sycophancy in large language models: Causes and mitigations. Intell. Comput. Proc. Comput. Conf. 2024:61-74. DOI:10.1007/978-3031-92611-2_5
10.1007/978-3031-92611-2_5
critical
doi_compliance
unresolvable identifier · ref #78
Identifier '10.5555/3327345.3327509' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Shafahi A., Huang W.R., Najibi M., et al. (2018). Poison frogs! Targeted clean-label poisoning attacks on neural networks. Adv. Neural Inf. Process. Syst. 31:6106-6116. DOI:10.5555/3327345.3327509
10.5555/3327345.3327509
critical
doi_compliance
unresolvable identifier · ref #134
Identifier '10.1038/s41562025-02194-6' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Salvi F ., Horta Ribeiro M., Gallotti R., et al. (2025). On the conversational persuasiveness of GPT -4. Nat. Hum. Behav. 9:1645-1653. DOI:10.1038/s41562025-02194-6
10.1038/s41562025-02194-6
critical
doi_compliance
broken identifier · ref #70
DOI '10.1109/sp' as printed in the bibliography is syntactically invalid and cannot resolve.
Evidence text
Shokri R., Stronati M., Song C., et al. (2017). Member- ship inference attacks against machine learning models. Proc. IEEE Symp. Secur. Priv. 2017:3-18. DOI:10.1109/SP . 2017.41
10.1109/sp
critical
doi_compliance
unresolvable identifier · ref #101
Identifier '10.48550/arxiv.2510' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Souly A., Rando J., Chapman E., et al. (2025). Poisoning attacks on llms require a near-constant number of poison samples. arXiv preprint. DOI:10.48550/arXiv.2510
10.48550/arxiv.2510
critical
doi_compliance
unresolvable identifier · ref #90
Identifier '10.3346/jkms.2025.40.e92https://www.ncbi.nlm.nih.gov/pubmed/39995259' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Doskaliuk B., Zimba O., Y essirkepov M., et al. (2025). Artificial Intelligence in peer review: Enhancing efficiency while preserving integrity. J. Korean Med. Sci. 40:e92. DOI:10.3346/jkms.2025.40.e92https://www.ncbi.nlm.nih.gov/pubmed/39995259
10.3346/jkms.2025.40.e92https://www.ncbi.nlm.nih.gov/pubmed/39995259
critical
doi_compliance
unresolvable identifier · ref #7
Identifier '10.5555/3692070.3693262' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Liang W., Izzo Z., Zhang Y ., et al. (2024). Monitoring AI- modified content at scale: A case study on the impact of ChatGPT on AI conference peer reviews. Proc. Int. Conf. Mach. Learn. 235:1192. DOI:10.5555/3692070.3693262
10.5555/3692070.3693262
critical
doi_compliance
unresolvable identifier · ref #109
Identifier '10.5555/3766078.3766274' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.
Evidence text
Gong Y ., Chen Z., Chen M., et al. (2025). Topic-fliprag: Topic-orientated adversarial opinion manipulation attacks to retrieval-augmented generation models. arXiv preprint. DOI:10.5555/3766078.3766274
10.5555/3766078.3766274
How this works
Pith runs 8 detectors on the corpus: DOI/arXiv compliance, identifier-title agreement, AI meta-comment regex, external link availability, citation-to-quotation validity, and 40-token shingle duplication. Each finding is keyed by a stable evidence hash, signed, and emitted to the paper's Pith Number Open Graph Bundle as a pith.integrity.v1 event.
Public findings use one of three verdict classes: incontrovertible, cross_source, or threshold_with_margin. Read the integrity protocol for exact detector contracts and evidence schemas.