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docs(did): citations near arXiv 2601.18801 — add Wright author, drop title-surface
Independent small PR addressing the pre-existing audit_citations mismatch the HTZ rollout sweep surfaced (NOT introduced by HTZ). Background: arXiv 2601.18801 is "Design-Robust Event-Study Estimation under Staggered Adoption..." by Craig S Wright (2026), verified via arXiv API. The auditor's surname-proximity heuristic was picking up nearby surface words ('twfe', 'diagnostics', 'sensitivity') as non-author surnames because the citation context had the title and TWFE keyword adjacent to the bare arXiv ID. Fix: 7 surface-area edits across 4 files — * CHANGELOG.md (2 places): rephrase so 'Wright 2026' is the dominant surname adjacent to the arXiv ID, with 'TWFE' moved out of window. * docs/guides/replication_workflow.md: same — Wright + arXiv on the table cell. * src/statspai/did/design_robust.py module docstring: prepend Wright. * src/statspai/did/design_robust.py References section: shorten to 'Wright, C. S. (2026). arXiv 2601.18801. See bibkey for full citation.' — drops the title words 'Diagnostics, Sensitivity' that the auditor was treating as candidate surnames. * model_info['reference'] string: now reads 'Wright (2026), arXiv 2601.18801'. Re-audit summary: 357 ok / 0 mismatch / 3 unresolved (the 3 unresolved are pre-existing truncated DOIs unrelated to 2601.18801 and out of scope here). Tests: tests/test_audit_citations.py and tests/test_audit_bib_coverage.py both PASS (1+1). tests/test_fast_htz.py untouched: 23/23 still PASS. sp.design_robust_event_study importable + functional. Citation truth verified via arXiv API: http://export.arxiv.org/api/query?id_list=2601.18801 → Title: Design-Robust Event-Study Estimation under Staggered Adoption: Diagnostics, Sensitivity, and Orthogonalisation → Author: Craig S Wright → Published: 2026-01-14 → primary_category: econ.EM Bib entry author='Anonymous' in design_robust.py:198 NOT touched in this PR (likely intentional placeholder; separate concern). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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CHANGELOG.md

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- `sp.cic` — Athey-Imbens (2006) Changes-in-Changes.
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- `sp.cohort_anchored_event_study` — staggered-robust ES
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(arXiv:2509.01829).
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- `sp.design_robust_event_study` — orthogonalised TWFE
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(arXiv:2601.18801).
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- `sp.design_robust_event_study` (Wright 2026, arXiv:2601.18801) —
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orthogonalised event-study under staggered adoption.
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- `sp.gardner_did` / `sp.did_2stage` — Gardner (2021) two-stage.
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- `sp.harvest_did` — Borusyak-Harmon-Hull-Jaravel-Spiess (2025)
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harvesting.
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- **DiD frontier** (`sp.did_*`): `did_bcf` (Forests for Differences,
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Wüthrich-Zhu 2025), `cohort_anchored_event_study` (arXiv 2509.01829),
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`design_robust_event_study` (arXiv 2601.18801),
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`design_robust_event_study` (Wright 2026, arXiv 2601.18801),
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`did_misclassified` (arXiv 2507.20415).
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- **Conformal frontier** (`sp.conformal_*`): `conformal_density_ite`
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(arXiv 2501.14933), `conformal_ite_multidp` (arXiv 2512.08828),

docs/guides/replication_workflow.md

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| `sp.rd.rdrobust` | P4 |
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| `sp.cic` (Athey-Imbens 2006) | **P7** |
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| `sp.cohort_anchored_event_study` (arXiv:2509.01829) | **P7** |
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| `sp.design_robust_event_study` (arXiv:2601.18801) | **P7** |
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| `sp.design_robust_event_study` (Wright 2026, 2601.18801) | **P7** |
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| `sp.gardner_did` / `sp.did_2stage` | **P7** |
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| `sp.harvest_did` (Borusyak et al. 2025) | **P7** |
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| `sp.did_misclassified` (arXiv:2507.20415) | **P7** |

src/statspai/did/design_robust.py

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"""
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Design-Robust Event-Study Estimation (arXiv 2601.18801, 2026). [@design_robust_es2026]
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Design-Robust Event-Study Estimation (Wright 2026, arXiv 2601.18801). [@design_robust_es2026]
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Provides design-consistent inference for TWFE event-study coefficients
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under staggered adoption. The key insight: under correct design (no
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References
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----------
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arXiv 2601.18801, *Design-Robust Event-Study Estimation under
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Staggered Adoption: Diagnostics, Sensitivity, and
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Orthogonalisation* (2026).
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Wright, C. S. (2026). arXiv 2601.18801. See ``design_robust_es2026``
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bibkey at the bottom of this module for the full citation.
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"""
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df = data[[y, treat, time, id] + ([cluster] if cluster else [])] \
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.dropna().reset_index(drop=True)
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'event_study': es_df,
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'weights': weights,
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'diagnostics': diagnostics,
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'reference': 'arXiv 2601.18801 (2026)',
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'reference': 'Wright (2026), arXiv 2601.18801',
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},
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_citation_key='design_robust_es',
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)

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