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How do AI systems ground research citations against hallucination?
A broader line of inquiry — a family of 79 specific questions the research asks around this. Follow one into its inquiring-line page, or move sideways to a related line below.
Questions in this line of inquiry 79
Specific inquiring lines the field asks around this — ordered from the most general framing down to the most specific angle.
- Can institutional statements alone correct misconceptions from unreviewed papers?
- How does specifying evidence before observing results prevent research bias?
- How do retrieval failures enable generation of fabricated scholarly constructs?
- Do citation formatting and numbering fool readers into trusting unreal sources?
- How much does citation grounding help if agents ignore the citations?
- How do citation patterns encode collective judgment about research quality?
- Can RAG systems game user preferences by adding irrelevant citations?
- Why do linear research pipelines lose global context across planning and generation steps?
- How should journals reward verification work if it becomes separated from discovery?
- Why do users trust citations even when they are irrelevant?
- What distinguishes scientific plausibility from cognitive availability in research ideas?
- Can publishing failure branches change incentives to expose messy research processes?
- How do high-leverage decision points differ across research versus production tasks?
- Why do readers trust citations more even when they are irrelevant?
- Can ranking by coherence while minimizing author-community coverage find novel research?
- Do academic reward structures actively prevent innovation in research communication forms?
- How much undetected fraud exists beyond current retraction statistics?
- Does provenance alone guarantee that cited sources are actually sound?
- How do co-authorship patterns alone capture scientist expertise without surveying reasoning?
- What methodological standards should prompting research papers meet before publication?
- What makes disruptive scientific work harder to publish and recognize?
- Do citation counts better capture scientific quality than publication venue tiers?
- How does document form shape what kinds of evidence social science can present?
- How do institutional governance layers differ between reading public outcomes versus peer reports?
- Does performing the source verification work create meaningful engagement with ideas?
- Why are documents read but not cited harder distractors than random samples?
- Does 'evidence hacking' pose greater risks to politically divisive domains?
- What counts as a final decision versus an executed revision in research?
- Why does publish-or-perish incentivize quantity over quality in research?
- What deterministic operations can replace model judgment in scientific writing?
- Should citation counts serve as the primary measure of research impact?
- What makes a novel research idea practically infeasible for implementation?
- How can post-training research become reproducible without releasing full interfaces?
- Can detection mechanisms like diff review catch corruption better than deletion?
- What fraction of the paper's tasks were actually misspecified or easy to hack?
- What happens to research goal-setting when a field lacks consensus on core terms?
- What makes a standardized artifact unit measurable across different research domains?
- Does removing information about who wrote something change how we interpret it?
- Can experimental outcomes be reliably distilled into reusable insights?
- How do real search queries reveal what counts as a deep research question?
- What counts as an important or non-standard component of methodology?
- How do append-only Git records compare to continuously updated world models for research continuity?
- Why does expert density around topics signal near-future discoveries?
- How should universities weigh rhetorical quality against verifiable evidence in credentials?
- Can open collaboration survive if sharing work-in-progress becomes competitively dangerous?
- Can voluntary use patterns in randomized trials reveal confounding by user characteristics?
- How can study design rule out calendar factors like seasonality or staffing changes?
- Did GPT-4 see the entire paper or only a portion of it?
- Does the form of a paper still matter if the process behind it changes?
- How do you attribute copyright when billions of inputs shape one model?
- What counts as a survey paper versus a research contribution in arXiv?
- Why do missing survey responses need careful handling in risk assessment?
- What makes provenance infrastructure more critical than artifact quality?
- Does statistical rarity actually correlate with originality that law should protect?
- What specific peer behaviors were manipulated in the collusion intervention study?
- Did OpenAI's team train on or access Buckmaster's unpublished work on Navier-Stokes?
- How does the location of causal passages differ between news and lectures?
- What distinguishes ghost work from traditional academic or paid research collaboration?
- How do mirror sites and shadow libraries perpetuate retracted papers?
- How much does ROUGE metric choice inflate hallucination detection claims?
- Why does author withdrawal authority matter for preprint accountability?
- Why do excerpts and abstracts miss the recovery ideas present in full papers?
- Are paper mills using NHANES data to automate single-factor research?
- Why do users prefer community sources over encyclopedic references?
- Why do fraudulent networks move to different journals after deindexing?
- How does the Word Novelty Rate metric measure convention formation?
- How much of the incomplete candidate data came from Wikipedia versus live retrieval?
- What financial incentives shape the Foundation's interpretation of this data?
- What makes some disciplinary backgrounds frame red teaming as exploration rather than classification?
- How many NHANES studies apply false discovery correction before publication?
- How do paper mills reuse images across batches to evade detection?
- What metrics best measure originality as statistical rarity in narrative choices?
- How was covertness measured in the model's behavior?
- How were the capsules obtained in the paper's experimental organisms?
- Do depression associations in NHANES papers survive correction for multiple comparisons?
- Why do lawyers need provenance tracking more than other professions?
- Is Moran's case based on measured data or professional testimony and observation?
- What is craft-residue and why does its loss matter?
- What population of incidents does the 1,213 count represent?