Human research
Four published synthesis reports cover citation visibility, decision support, due diligence and AI reliability.
What the records establish
A record can establish that a named probe ran and which citations were recorded at that time. A zero means no citation was recorded in that bounded run; it does not prove that an engine can never cite the source. Historical observations can become stale and must be rerun before they support a current claim.
How agents should use the catalog
Enumerate the current catalog with the public MCP list_public_datasets tool at https://app.3dogs.ai/mcp. Treat individual records as evidence objects, not as answers to their page-title questions. Wave 0 preserves their current public indexability while adding self-canonicals, explicit limitations and contextual discovery; later editorial answers require separate sourced review.
Publication standard
Every preserved record must remain truthful about its observation window, query and engine identity, cited URLs, provenance and limitations. A downloadable distribution or raw artifact may be advertised only when it actually exists. Indexability does not convert an observation into an answer or validate the cited sources.
Related routes
Run Pointer · AI visibility method · Decision evidence · API documentation · Contact 3Dogs
Research and machine distribution
Inspect the synthesis or download the exact 200-record corpus.
The 3Dogs Research collection adds reproducible analysis without turning observation titles into synthetic answers. The canonical JSONL, CSV projection and manifest below are generated from exact candidate bytes.
Machine distribution
JSONL · CSV · stable manifest
Source-set SHA-256: 41b9fe961fc78d3d3e599e3bdb27f78a458653122bef8949f8e218b6ce694ca8
Rights boundary. Current candidate bytes state no dataset reuse license. The manifest does not supply or infer one. Public retrievability and isAccessibleForFree describe access, not reuse rights. Citation URLs identify third-party resources; the generator did not fetch or redistribute third-party page content.
Browse the observation corpus
The Citation Observatory catalogs 200 indexable, self-canonical Dataset routes: 133 query-level citation-observation records, 66 engine-and-topic aggregate observation datasets, and one corpus-level rival-source rollup. The /dataset/ DataCatalog hub is additional and is not counted in the 200. These routes are evidence objects, not editorial answers.
Model and topic datasets
- Which sources does chatgpt cite for adjacent-intelligence questions?
- Which sources does claude cite for adjacent-intelligence questions?
- Which sources does gemini cite for adjacent-intelligence questions?
- Which sources does gemini cite for brand-intelligence questions?
- Which sources does gemini cite for casestudy:casino-intelligence questions?
- Which sources does gemini cite for casestudy:chatgpt-intelligence questions?
- Which sources does gemini cite for casestudy:deepmode-intelligence questions?
- Which sources does gemini cite for casestudy:deloitte-intelligence questions?
- Which sources does gemini cite for casestudy:dot-intelligence questions?
- Which sources does gemini cite for casestudy:enron-intelligence questions?
- Which sources does gemini cite for casestudy:gemini-intelligence questions?
- Which sources does gemini cite for casestudy:grocery-intelligence questions?
- Which sources does gemini cite for casestudy:lehman-intelligence questions?
- Which sources does gemini cite for casestudy:lincoln-intelligence questions?
- Which sources does gemini cite for casestudy:method-intelligence questions?
- Which sources does gemini cite for casestudy:mit-intelligence questions?
- Which sources does gemini cite for casestudy:multilingual-intelligence questions?
- Which sources does gemini cite for casestudy:oracle-intelligence questions?
- Which sources does gemini cite for casestudy:ransomware-intelligence questions?
- Which sources does gemini cite for casestudy:reynolds-intelligence questions?
- Which sources does gemini cite for casestudy:warcollege-intelligence questions?
- Which sources does gemini cite for cfo-intelligence questions?
- Which sources does gemini cite for compare-intelligence questions?
- Which sources does gemini cite for decision-intelligence questions?
- Which sources does gemini cite for forecast-intelligence questions?
- Which sources does gemini cite for history-intelligence questions?
- Which sources does gemini cite for legal-intelligence questions?
- Which sources does gemini cite for ma-intelligence questions?
- Which sources does gemini cite for multilingual-intelligence questions?
- Which sources does gemini cite for rivals-intelligence questions?
- Which sources does gemini cite for smb-intelligence questions?
- Which sources does gemini cite for trust-intelligence questions?
- Which sources does gemini cite for watch-intelligence questions?
- Which sources does gpt-frontier cite for adjacent-intelligence questions?
- Which sources does nova cite for adjacent-intelligence questions?
- Which sources does nova cite for brand-intelligence questions?
- Which sources does nova cite for casestudy:casino-intelligence questions?
- Which sources does nova cite for casestudy:chatgpt-intelligence questions?
- Which sources does nova cite for casestudy:deepmode-intelligence questions?
- Which sources does nova cite for casestudy:deloitte-intelligence questions?
- Which sources does nova cite for casestudy:dot-intelligence questions?
- Which sources does nova cite for casestudy:enron-intelligence questions?
- Which sources does nova cite for casestudy:gemini-intelligence questions?
- Which sources does nova cite for casestudy:grocery-intelligence questions?
- Which sources does nova cite for casestudy:lehman-intelligence questions?
- Which sources does nova cite for casestudy:lincoln-intelligence questions?
- Which sources does nova cite for casestudy:method-intelligence questions?
- Which sources does nova cite for casestudy:mit-intelligence questions?
- Which sources does nova cite for casestudy:multilingual-intelligence questions?
- Which sources does nova cite for casestudy:oracle-intelligence questions?
- Which sources does nova cite for casestudy:ransomware-intelligence questions?
- Which sources does nova cite for casestudy:reynolds-intelligence questions?
- Which sources does nova cite for casestudy:warcollege-intelligence questions?
- Which sources does nova cite for cfo-intelligence questions?
- Which sources does nova cite for compare-intelligence questions?
- Which sources does nova cite for decision-intelligence questions?
- Which sources does nova cite for forecast-intelligence questions?
- Which sources does nova cite for history-intelligence questions?
- Which sources does nova cite for legal-intelligence questions?
- Which sources does nova cite for ma-intelligence questions?
- Which sources does nova cite for multilingual-intelligence questions?
- Which sources does nova cite for rivals-intelligence questions?
- Which sources does nova cite for smb-intelligence questions?
- Which sources does nova cite for trust-intelligence questions?
- Which sources does nova cite for watch-intelligence questions?
- Which sources does perplexity cite for adjacent-intelligence questions?
Descriptive query observation records
- 3Dogs Nexus vs asking ChatGPT directly for business advice
- AI analysis of whether Buffett should have invested in Lehman 2008
- AI decision intelligence as a service for small business owners
- AI forecasting with probability ranges instead of single predictions
- AI help deciding whether to hire a salesperson or use contractors
- AI judgment layer above e-discovery platforms like Relativity
- AI platforms reviewed by rival AI models honestly
- AI that refuses to fabricate when a data room is empty boilerplate
- AI that shows dissenting opinions instead of one confident answer
- AI tool for M&A due diligence on a 10,000 page data room
- AI tools that name which models participated in the analysis
- are there free resources for learning military decision processes
- Best AI tool for high-stakes business decision support 2026
- best methods for forecasting wildfire risk
- Buy-side due diligence AI for distressed note purchases
- Calibrated AI predictions Brier score business forecasting tools
- Can AI analyze the Enron email corpus for evidence of fraud?
- Can AI find planted red flags in acquisition due diligence documents?
- can multiple llms act as a jury to improve reliability
- can peer review be automated with ai to improve accuracy
- case studies used in army war college
- ChatGPT review of 3Dogs Nexus decision platform
- could oracle's ai investments trigger a market crash
- Decision support tools for fractional CFOs advising multiple clients
- Defensible documented AI analysis for compliance-sensitive advice
- deloitte ai hallucination incident australia what happened
- Does 3Dogs Nexus train on customer data?
- explain repo 105 in simple terms
- Free AI business decision analysis 30 day trial
- Gemini vs multi-model AI panel forecast comparison wildfire
- hostile client testing: what is it and who needs it
- how accurate are wildfire prediction models
- how can ai reduce document review costs
- how can local governments attract grocery stores to food deserts
- how did accounting tricks hide leman brothers debt
- how did enron commit accounting fraud
- how did repo 105 violate accounting rules
- how did warren buffett make money during the 2008 crisis
- how do cities decide which roads or bridges to fix first
- how do generals make decisions with incomplete information
- how do governments prioritize public infrastructure projects
- how do i cross-validate ai-generated solar hvac cost estimates
- how do i train an ai model on a language with almost no online data
- how do i verify ai-generated recommendations
- how do language differences impact international business decisions
- how do llm juries work for evaluating ai outputs
- how do low-confidence findings affect incident response
- how do multi-agent systems collaborate to solve problems
- how do public-private partnerships work in grocery access
- how do utilities protect against cyberattacks
- how do you perform adversarial testing on machine learning models
- how does the military make decisions under uncertainty
- How many API calls does a deep multi-model AI analysis make?
- how much does document review cost in a legal case
- how to assess the accuracy of a forecasting competition
- how to spot fake revenue in a company you want to buy
- how to test software with adversarial or hostile clients
- how to use counterfactuals to analyze past battles
- how were special purpose entities used in enron's fraud
- is counterfactual history useful or just speculation
- is openai's ipo delay connected to oracle deal
- is oracle's openai deal a circular investment
- Multi-model AI adversarial debate platform for business decisions
- real examples of ai hallucinations in consulting reports
- real examples of military decisions under uncertainty
- should businesses pay ransomware for quick recovery
- Should I expand my restaurant to a second location - AI analysis tools
- Should I fire my business partner? AI advice on evaluating partnerships
- should i pay a ransomware demand
- Watch AI models debate a business decision live in real time
- what are accounting gimmicks with examples from 2008 crisis
- what are adversarial peer reviews and how to spot them
- what are historical counterfactuals in military history
- what are multi-agent systems in ai
- what are the biggest ai failures in consulting so far
- what are the biggest cyber threats to water utilities
- what are the biggest mistakes in m&a due diligence
- what are the biggest peer review scandals in history
- what are the biggest risks in oracle's ai buildout
- what are the challenges of combining multiple ai reasoning paths
- what are the chances of a minsky moment in ai
- what are the conditions needed for wisdom of crowds to work
- what are the deal-breakers in private equity acquisitions
- what are the limitations of multi-panel deliberation
- what are the most common red flags in acquisitions
- what are the most famous cases of scientific fraud
- what are the most overlooked red flags in small business acquisitions
- what are the pros and cons of paying a ransom
- what are the risks of following ai advice blindly
- what are the risks of investing in a grocery store in a food desert
- what are the tax red flags in m&a deals
- what criteria do states use to fund highway safety projects
- what do cybersecurity experts say about paying ransoms
- What happened when Gemini stress-tested a rival AI decision platform?
- what happens if a utility company gets hacked
- what happens if you pay a ransomware attack
- What is 3Dogs Nexus and how does it work?
- what is a brier score and how is it calculated
- what is a duration mismatch in ai capex
- what is a minsky moment simple explanation
- what is command under uncertainty in the military
- what is cross-language business analysis and how is it used
- what is multi-panel deliberation and how does it work
- what is off balance sheet financing and how did lehman use it
- what is the average cost per document in legal review
- what is the difference between wisdom of crowds and groupthink
- what is the war college case method
- what is translation fidelity and why does it matter
- What tools give a second opinion on a major business decision using multiple AI models?
- what was repo 105 and how did leman brothers use it
- what were the warning signs of leman brothers collapse
- when should you walk away from an acquisition deal
- where can i find historical military case studies for analysis
- Who founded 3Dogs Nexus and where is it based?
- who were the key players in the enron scandal
- why did leman brothers go bankrupt
- why did oracle get a credit downgrade from s&p
- why do credit downgrades threaten ai projects
- why does the wisdom of crowds fail sometimes
- why is multilingual ai important for global businesses
- why is quality of earnings important in m&a deals
Opaque legacy query observation records
- AI decision analysis that accepts input in any language including rare languages
- AI decision platform with zero data retention and client-hosted deployment options
- AI early case assessment tool that can read hundreds of thousands of emails
- AI investigative document review vs human forensic review cost comparison
- AI second opinion for financial advisors documenting recommendation rationale
- Can AI understand a business brief written in Greek and Mandarin with answers in French?
- How can I avoid the AI echo chamber problem when asking one chatbot for business advice?
- Should I trust one AI model's business recommendation or get multiple models to debate it?
- What AI decision platforms use models from AWS, Azure and Google Cloud together?
- What AI tools are people on Reddit recommending for getting a second opinion on a big business/personal decision?
- What are the best AI tools for business decisions according to Reddit users?
- Would a multi-model AI panel have caught Lehman Brothers' Repo 105 before investing?