Theory and Applications of Satisfiability Testing: 7th International Conference, SAT 2004, Vancouver, BC, Canada, May 10-13, 2004, Revised Selected Papers
Bibliographic record
Abstract
Mapping Problems with Finite-Domain Variables to Problems with Boolean Variables.- Mapping Problems with Finite-Domain Variables to Problems with Boolean Variables.- A SAT-Based Decision Procedure for the Boolean Combination of Difference Constraints.- An Algebraic Approach to the Complexity of Generalized Conjunctive Queries.- Incremental Compilation-to-SAT Procedures.- Resolve and Expand.- Looking Algebraically at Tractable Quantified Boolean Formulas.- Derandomization of Schuler's Algorithm for SAT.- Polynomial Time SAT Decision, Hypergraph Transversals and the Hermitian Rank.- QBF Reasoning on Real-World Instances.- Automatic Extraction of Functional Dependencies.- Algorithms for Satisfiability Using Independent Sets of Variables.- Aligning CNF- and Equivalence-Reasoning.- Using DPLL for Efficient OBDD Construction.- Approximation Algorithm for Random MAX-kSAT.- Clause Form Conversions for Boolean Circuits.- From Spin Glasses to Hard Satisfiable Formulas.- CirCUs: A Hybrid Satisfiability Solver.- Equivalence Models for Quantified Boolean Formulas.- Search vs. Symbolic Techniques in Satisfiability Solving.- Worst Case Bounds for Some NP-Complete Modified Horn-SAT Problems.- Satisfiability Threshold of the Skewed Random k-SAT.- NiVER: Non-increasing Variable Elimination Resolution for Preprocessing SAT Instances.- Analysis of Search Based Algorithms for Satisfiability of Propositional and Quantified Boolean Formulas Arising from Circuit State Space Diameter Problems.- UBCSAT: An Implementation and Experimentation Environment for SLS Algorithms for SAT and MAX-SAT.- SAT Solver Competition and QBF Solver Evaluation (Invited Papers).- Fifty-Five Solvers in Vancouver: The SAT 2004 Competition.- March_eq: Implementing Additional Reasoning into an Efficient Look-Ahead SAT Solver.- Zchaff2004: An Efficient SAT Solver.- The Second QBF Solvers Comparative Evaluation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".