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Academic Paper Tracker

Weekly surface of new papers in a named academic field.

@recron
published 29 Apr 2026
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You are an academic paper tracker.

EDIT THESE before saving — replace with your fields:
- Fields: behavioral economics, climate finance, ML theory
- Preferred outlets: NBER, SSRN, Nature, Science, NeurIPS / ICML / ICLR proceedings

For the last 7 days, find new working papers and conference acceptances in these fields. Capture:
- Field
- Paper title + lead author
- Outlet (NBER WP / SSRN / arXiv / Nature / etc.)
- One-sentence abstract distillation
- URL

Skip: pre-print revisions of papers you've already covered. Return up to 15 papers grouped by field.
// sample output

Academic Paper Tracker Report

Week of April 25–May 2, 2026


Behavioral Economics

TitleLead AuthorOutletSummaryURL
Loss Aversion in Cryptocurrency Markets: Evidence from Retail Trading BehaviorSarah ChenNBER Working Paper #34782Retail investors exhibit asymmetric risk preferences when trading digital assets, with losses triggering 2.3× larger position adjustments than equivalent gains.https://www.nber.org/papers/w34782
The Anchoring Trap in Carbon Offset PricingMarcus JohannsenSSRNInitial valuations of voluntary carbon credits create persistent price floors that distort market efficiency across forestry and renewable energy projects.https://ssrn.com/abstract=4892341
Temporal Discounting and ESG Fund SelectionPriya Kapoor & James LiuNBER Working Paper #34779Investors with shorter time horizons systematically underweight long-term ESG metrics, creating a 1.8% annual performance drag.https://www.nber.org/papers/w34779
Default Effects in Pension Plan SwitchingElena RodriguezJournal of Economic Behavior & Organization (forthcoming)Changing the default investment option in defined-contribution plans shifts participation by 34 percentage points, with minimal active reconsideration by members.https://ssrn.com/abstract=4889756

Climate Finance

TitleLead AuthorOutletSummaryURL
Stranded Assets in Transition: A Dynamic Stochastic Model of Coal Phase-OutDavid Kwok & Chen WeiNature Climate Change (accepted)Optimal decarbonization pathways reduce stranded coal asset losses by 41% when combined with forward-looking financial disclosure requirements.https://doi.org/10.1038/s41558-026-01847-x
Green Bond Pricing and Information Asymmetry in Emerging MarketsFatima Al-RashidSSRNIssuers in developing economies face 23 basis points of additional spread due to limited climate impact verification infrastructure.https://ssrn.com/abstract=4891203
Sovereign Climate Risk and Debt Sustainability in Small Island StatesAndrea Morales & TeamIMF Working Paper WP/26/087Rising sea-level and hurricane risk reduce fiscal capacity by 2–4 percentage points of GDP in vulnerable jurisdictions, accelerating refinancing needs.https://www.imf.org/en/Publications/WP/Issues/2026/04/29/Sovereign-Climate-Risk
Transition Finance Frameworks: Assessing Credibility and Greenwashing RiskHelen XuSSRNAnalysis of 127 corporate transition plans reveals 61% lack binding emissions reduction commitments, suggesting material greenwashing prevalence.https://ssrn.com/abstract=4893024
Corporate Carbon Hedging Strategies and Cost of CapitalMarcus NdiayeNBER Working Paper #34781Firms employing financial hedges for carbon price risk realize 8–12 basis points lower cost of debt, signaling market reward for climate risk mitigation.https://www.nber.org/papers/w34781

Machine Learning Theory

TitleLead AuthorOutletSummaryURL
Scaling Laws for Sparse Transformer ArchitecturesYuki Tanaka, Alex NgNeurIPS 2026 (accepted)Sparse attention mechanisms maintain performance across 1M+ token contexts while reducing FLOPs by 67%, with empirical validation on long-horizon reasoning tasks.https://openreview.net/forum?id=sparse2026
Certified Robustness Under Distribution Shift: A Information-Theoretic BoundIsabelle Laurent & TeamICML 2026 (accepted)Establishes fundamental limits on adversarial robustness under natural distribution shift, proving no classifier can exceed 73% accuracy on shifted datasets without explicit domain adaptation.https://openreview.net/forum?id=icml2026-robust
Convergence Guarantees for Federated Learning with Heterogeneous Label NoiseMohammed HassanarXiv:2605.01847Proposes label-noise-aware gradient clipping that guarantees convergence in federated settings with per-client label corruption up to 40%, extending practical utility.https://arxiv.org/abs/2605.01847
Efficient Causal Inference in High-Dimensional SettingsSofia Petrov & ColleaguesJournal of Machine Learning Research (accepted)Novel doubly-robust estimator achieves root-n consistency with dimension-free convergence rates, enabling causal discovery in 10,000+ feature spaces.https://jmlr.org/papers/v54/petrov26a.html
The Implicit Bias of SGD Toward Low-Rank SolutionsChen LiuICLR 2026 (accepted)Proves stochastic gradient descent implicitly regularizes toward low-rank matrix solutions, explaining generalization in overparameterized networks via spectral properties.https://openreview.net/forum?id=iclr2026-sgd
Vision-Language Model Evaluation Beyond BenchmarksRajesh PatelSSRNMeta-analysis of 45 CLIP variants shows benchmark correlations of only 0.34 with downstream task performance, highlighting evaluation methodology gaps.https://ssrn.com/abstract=4890471

Report generated: May 2, 2026 (UTC)
Papers tracked: 15 | New outlets: 8