Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
time-series
time-series-decomposition
benchmark
component-recovery
symbolic-regression
icml-2026
License:
Document table provenance boundaries
Browse files- README.md +20 -1
- metadata/checksums.sha256 +5 -4
- metadata/dataset_schema.json +1 -0
- metadata/file_inventory.csv +4 -3
- metadata/paper_table_provenance.md +47 -0
- metadata/release_manifest.json +1 -0
README.md
CHANGED
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@@ -41,6 +41,8 @@ Public Hugging Face links:
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data/paper_tables/
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Exact CSV versions of the camera-ready main and appendix tables, plus the
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raw 6-scenario x 50-draw six-family leaderboard used to regenerate Table 2.
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data/paper_figures/
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Paper figure assets used by the leaderboard Space for visual alignment checks.
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@@ -68,7 +70,8 @@ site_data/v1.0.0/
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regenerated from the current paper-aligned outputs.
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metadata/
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-
Release manifest, schema notes, file inventory, and
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```
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## Paper-Aligned Scope
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@@ -77,6 +80,12 @@ The primary paper studies standalone decomposition as component recovery under c
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The 22-method files are included as benchmark-only expansion and transfer tracks. Several rows correspond to additional method prototypes or benchmark-side mechanism proxies, not camera-ready paper claims. These rows use the same 6-scenario, 50-draw synthetic protocol where applicable, but they should not replace the primary six-family Table 2 / Figure 3 interpretation.
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## Versioned Evidence Layout
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The release separates the frozen camera-ready paper snapshot from benchmark extensions:
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@@ -136,6 +145,11 @@ Small CSV files matching the camera-ready manuscript tables. These are the safes
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- `paper_core_50draw_leaderboard.csv`: raw 1,800-row paper-core output (6 scenarios x 50 draws x 6 methods).
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- `paper_core_50draw_by_tier.csv`: tier-level means and metric-specific valid-row counts used to derive the tier-balanced Table 2 columns.
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### `synthetic_full22_extension`
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This benchmark-only track uses the same 6-scenario synthetic generator and five-metric evaluation protocol with length 512, 50 draws per scenario, true-period-given evaluation, and a 22-method roster. It includes raw rows, overall summaries, by-scenario summaries, by-tier summaries, coverage, protocol matrix, and backend-selection metadata. It is an expanded roster view, while the camera-ready Table 2 / Figure 3 source is the six-family paper table under `data/paper_tables/`.
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This benchmark-only transfer track injects known mechanisms into six real monthly backgrounds using a 22-method roster, three mechanisms, two background scales, and eight windows per setting. The released five-metric ranking is `data/semisynth_transfer/results/summary/ranking_paper_5metric_overall.csv`. It is a living benchmark extension rather than a camera-ready paper table. Large downloaded source files are intentionally excluded from this release; the canonical small CSV backgrounds and metric tables are included.
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### `post_rebuttal_second_expansion`
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This later companion track contains rebuttal-stage real-data evidence. `real_physics_track_b` covers CO2 and tides with mechanism-informed approximate structure. `real_proxy_track_c` covers CH4, GPCC precipitation, NDVI, QBO, Arctic sea ice, and sunspots using proxy and stability diagnostics.
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data/paper_tables/
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Exact CSV versions of the camera-ready main and appendix tables, plus the
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raw 6-scenario x 50-draw six-family leaderboard used to regenerate Table 2.
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+
Appendix robustness/transfer tables are paper snapshots; not all of them
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are regenerated by the lightweight paper-core runner.
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data/paper_figures/
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Paper figure assets used by the leaderboard Space for visual alignment checks.
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regenerated from the current paper-aligned outputs.
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metadata/
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+
Release manifest, schema notes, table provenance notes, file inventory, and
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checksums.
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```
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## Paper-Aligned Scope
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The 22-method files are included as benchmark-only expansion and transfer tracks. Several rows correspond to additional method prototypes or benchmark-side mechanism proxies, not camera-ready paper claims. These rows use the same 6-scenario, 50-draw synthetic protocol where applicable, but they should not replace the primary six-family Table 2 / Figure 3 interpretation.
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+
The one-command reproduction path in this repository regenerates the primary
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paper-core synthetic leaderboard. Appendix robustness and transfer checks are
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released as exact camera-ready CSV summaries, with source summaries and run
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metadata where available. They should be used to audit the paper tables, but
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they are not all exposed through the same lightweight runner.
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## Versioned Evidence Layout
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The release separates the frozen camera-ready paper snapshot from benchmark extensions:
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- `paper_core_50draw_leaderboard.csv`: raw 1,800-row paper-core output (6 scenarios x 50 draws x 6 methods).
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- `paper_core_50draw_by_tier.csv`: tier-level means and metric-specific valid-row counts used to derive the tier-balanced Table 2 columns.
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+
Appendix table snapshots include bounded tuning, period robustness, alignment
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robustness, boundary sensitivity, real-data proxy, semi-synthetic transfer, and
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MSSA pilot summaries. Their audit status is summarized in
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`metadata/paper_table_provenance.md`.
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+
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### `synthetic_full22_extension`
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This benchmark-only track uses the same 6-scenario synthetic generator and five-metric evaluation protocol with length 512, 50 draws per scenario, true-period-given evaluation, and a 22-method roster. It includes raw rows, overall summaries, by-scenario summaries, by-tier summaries, coverage, protocol matrix, and backend-selection metadata. It is an expanded roster view, while the camera-ready Table 2 / Figure 3 source is the six-family paper table under `data/paper_tables/`.
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This benchmark-only transfer track injects known mechanisms into six real monthly backgrounds using a 22-method roster, three mechanisms, two background scales, and eight windows per setting. The released five-metric ranking is `data/semisynth_transfer/results/summary/ranking_paper_5metric_overall.csv`. It is a living benchmark extension rather than a camera-ready paper table. Large downloaded source files are intentionally excluded from this release; the canonical small CSV backgrounds and metric tables are included.
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+
The camera-ready paper's semi-synthetic paragraph is the frozen six-family
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snapshot in `data/paper_tables/semisynthetic_transfer_summary.csv`; the
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+
22-method transfer files in this directory are a later benchmark extension and
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+
may have different method-level ordering.
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+
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### `post_rebuttal_second_expansion`
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This later companion track contains rebuttal-stage real-data evidence. `real_physics_track_b` covers CO2 and tides with mechanism-informed approximate structure. `real_proxy_track_c` covers CH4, GPCC precipitation, NDVI, QBO, Arctic sea ice, and sunspots using proxy and stability diagnostics.
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metadata/checksums.sha256
CHANGED
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@@ -2,7 +2,7 @@ bde2eac437158b0e4e36581e3877d372cc6809689a6010997d9bd1962d244259 .gitattributes
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| 2 |
d66cca888321e611bd8a7ffa970433bf3a89619030aba1f4d705261202ef9833 .gitignore
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166849e0d6677f116ae778829175b9e333cb3bfed41ce58adfe256271fd304b1 CITATION.cff
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b4a90b60dda4e329cead21d9c212995337ac4ebfebe5365939c4c9c19479f419 LICENSE
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| 5 |
-
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| 6 |
e5ded48d0eaffb7629beb060617381c3c087e93ab809bc40f9960a18440695b6 code/TSDecompose/README.md
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7a2ee7b8c6408c90f0b61db17068f70bf359a37cb8a83f490325c79003ffc4e5 code/TSDecompose/requirements.txt
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5d617e2292eea02ed79a3b30e26f708790ab54b2e352bb747449c1aa31bd7aee code/TSDecompose/scripts/run_paper_benchmark.ps1
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@@ -194,9 +194,10 @@ f290c28b0f23789e2cc51eb1999f0f63234b792c75a8cded3f68f9a913012ee6 data/synthetic
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a194ec34aa349f7177f89c2ae2b328f9589e7919f003659c6a5f0497ad32e91e data/synthetic_full22_extension/results/summary/ranking_paper_5metric_scenarios.csv
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06bd8784cd8dfba5c8ce1d15aa12b4b1ce800ae293e012e5d626257c6fcb679b data/synthetic_full22_extension/results/summary/ranking_paper_5metric_tiers.csv
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e7769cea54e0d0549add85f119aafdb11e933af5fd2cd09ec812f3639f75594a data/synthetic_full22_extension/results/summary/report.md
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-
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-
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-
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5b134e900a2308ad5d3a8c61f72909935c5d61de82350210458c2e978140b1d8 site_data/v1.0.0/evaluation_metrics.json
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02d55c80e7d63e5b907d39789614931c3dc0dcc73d97feaa0d25145f08e17637 site_data/v1.0.0/leaderboard_post_rebuttal_real_physics_track_b.csv
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956471fc5e08dad8b9bd2e14defb4a0d9d7561a3714c94340d89760397a09fe6 site_data/v1.0.0/leaderboard_post_rebuttal_real_proxy_track_c.csv
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d66cca888321e611bd8a7ffa970433bf3a89619030aba1f4d705261202ef9833 .gitignore
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166849e0d6677f116ae778829175b9e333cb3bfed41ce58adfe256271fd304b1 CITATION.cff
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b4a90b60dda4e329cead21d9c212995337ac4ebfebe5365939c4c9c19479f419 LICENSE
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| 5 |
+
b60637cec88fa3cd3464f2d31a2216e93f2f13a6ed8c421c05bf4f2f32f428d4 README.md
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e5ded48d0eaffb7629beb060617381c3c087e93ab809bc40f9960a18440695b6 code/TSDecompose/README.md
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7a2ee7b8c6408c90f0b61db17068f70bf359a37cb8a83f490325c79003ffc4e5 code/TSDecompose/requirements.txt
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5d617e2292eea02ed79a3b30e26f708790ab54b2e352bb747449c1aa31bd7aee code/TSDecompose/scripts/run_paper_benchmark.ps1
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a194ec34aa349f7177f89c2ae2b328f9589e7919f003659c6a5f0497ad32e91e data/synthetic_full22_extension/results/summary/ranking_paper_5metric_scenarios.csv
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06bd8784cd8dfba5c8ce1d15aa12b4b1ce800ae293e012e5d626257c6fcb679b data/synthetic_full22_extension/results/summary/ranking_paper_5metric_tiers.csv
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e7769cea54e0d0549add85f119aafdb11e933af5fd2cd09ec812f3639f75594a data/synthetic_full22_extension/results/summary/report.md
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+
5002d24ca61975f0e0028f9ba224a3e395b4169c37c965970f6514589cd22634 metadata/dataset_schema.json
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+
a76b98b9bf6a977fd03e8133a13e0b9a605cc75fdaaef17ce8023d7579562073 metadata/file_inventory.csv
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+
95a56db9e00d220f26eee2bc4e4355e4d93c522149179c6b84858c3c71c97b49 metadata/paper_table_provenance.md
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+
cff7af631e213dfa19fd939f2c770baf9ee53c80562f0dd7de4dc86fa7823853 metadata/release_manifest.json
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5b134e900a2308ad5d3a8c61f72909935c5d61de82350210458c2e978140b1d8 site_data/v1.0.0/evaluation_metrics.json
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| 202 |
02d55c80e7d63e5b907d39789614931c3dc0dcc73d97feaa0d25145f08e17637 site_data/v1.0.0/leaderboard_post_rebuttal_real_physics_track_b.csv
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| 203 |
956471fc5e08dad8b9bd2e14defb4a0d9d7561a3714c94340d89760397a09fe6 site_data/v1.0.0/leaderboard_post_rebuttal_real_proxy_track_c.csv
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metadata/dataset_schema.json
CHANGED
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@@ -7,6 +7,7 @@
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"paper_core_raw": "data/paper_tables/paper_core_50draw_leaderboard.csv",
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"paper_core_by_tier": "data/paper_tables/paper_core_50draw_by_tier.csv",
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"table2_display": "data/paper_tables/global_performance_summary.csv",
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"table2_aggregation": "Tier-balanced over valid metric values: stationary columns are the equal-weight average of Tier 1 and Tier 2 means; non-stationary columns are Tier 3 means. Seasonal metrics are undefined for the trend-only scenario, so metric-specific valid-row counts are provided.",
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"recommended_for_citation_checks": true
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},
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"paper_core_raw": "data/paper_tables/paper_core_50draw_leaderboard.csv",
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"paper_core_by_tier": "data/paper_tables/paper_core_50draw_by_tier.csv",
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"table2_display": "data/paper_tables/global_performance_summary.csv",
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+
"table_provenance": "metadata/paper_table_provenance.md",
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| 11 |
"table2_aggregation": "Tier-balanced over valid metric values: stationary columns are the equal-weight average of Tier 1 and Tier 2 means; non-stationary columns are Tier 3 means. Seasonal metrics are undefined for the trend-only scenario, so metric-specific valid-row counts are provided.",
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"recommended_for_citation_checks": true
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},
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metadata/file_inventory.csv
CHANGED
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@@ -3,7 +3,7 @@
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".gitignore","54","d66cca888321e611bd8a7ffa970433bf3a89619030aba1f4d705261202ef9833"
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| 4 |
"CITATION.cff","1025","166849e0d6677f116ae778829175b9e333cb3bfed41ce58adfe256271fd304b1"
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| 5 |
"LICENSE","1087","b4a90b60dda4e329cead21d9c212995337ac4ebfebe5365939c4c9c19479f419"
|
| 6 |
-
"README.md","
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"code/TSDecompose/README.md","3063","e5ded48d0eaffb7629beb060617381c3c087e93ab809bc40f9960a18440695b6"
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| 8 |
"code/TSDecompose/requirements.txt","189","7a2ee7b8c6408c90f0b61db17068f70bf359a37cb8a83f490325c79003ffc4e5"
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| 9 |
"code/TSDecompose/scripts/run_paper_benchmark.ps1","214","5d617e2292eea02ed79a3b30e26f708790ab54b2e352bb747449c1aa31bd7aee"
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@@ -195,8 +195,9 @@
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"data/synthetic_full22_extension/results/summary/ranking_paper_5metric_scenarios.csv","10326","a194ec34aa349f7177f89c2ae2b328f9589e7919f003659c6a5f0497ad32e91e"
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| 196 |
"data/synthetic_full22_extension/results/summary/ranking_paper_5metric_tiers.csv","3511","06bd8784cd8dfba5c8ce1d15aa12b4b1ce800ae293e012e5d626257c6fcb679b"
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| 197 |
"data/synthetic_full22_extension/results/summary/report.md","12091","e7769cea54e0d0549add85f119aafdb11e933af5fd2cd09ec812f3639f75594a"
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-
"metadata/dataset_schema.json","
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-
"metadata/
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"site_data/v1.0.0/evaluation_metrics.json","4609","5b134e900a2308ad5d3a8c61f72909935c5d61de82350210458c2e978140b1d8"
|
| 201 |
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|
| 202 |
"site_data/v1.0.0/leaderboard_post_rebuttal_real_proxy_track_c.csv","8146","956471fc5e08dad8b9bd2e14defb4a0d9d7561a3714c94340d89760397a09fe6"
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|
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| 3 |
".gitignore","54","d66cca888321e611bd8a7ffa970433bf3a89619030aba1f4d705261202ef9833"
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"CITATION.cff","1025","166849e0d6677f116ae778829175b9e333cb3bfed41ce58adfe256271fd304b1"
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"LICENSE","1087","b4a90b60dda4e329cead21d9c212995337ac4ebfebe5365939c4c9c19479f419"
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"README.md","11601","b60637cec88fa3cd3464f2d31a2216e93f2f13a6ed8c421c05bf4f2f32f428d4"
|
| 7 |
"code/TSDecompose/README.md","3063","e5ded48d0eaffb7629beb060617381c3c087e93ab809bc40f9960a18440695b6"
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| 8 |
"code/TSDecompose/requirements.txt","189","7a2ee7b8c6408c90f0b61db17068f70bf359a37cb8a83f490325c79003ffc4e5"
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| 9 |
"code/TSDecompose/scripts/run_paper_benchmark.ps1","214","5d617e2292eea02ed79a3b30e26f708790ab54b2e352bb747449c1aa31bd7aee"
|
|
|
|
| 195 |
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|
| 196 |
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|
| 197 |
"data/synthetic_full22_extension/results/summary/report.md","12091","e7769cea54e0d0549add85f119aafdb11e933af5fd2cd09ec812f3639f75594a"
|
| 198 |
+
"metadata/dataset_schema.json","3355","5002d24ca61975f0e0028f9ba224a3e395b4169c37c965970f6514589cd22634"
|
| 199 |
+
"metadata/paper_table_provenance.md","4978","95a56db9e00d220f26eee2bc4e4355e4d93c522149179c6b84858c3c71c97b49"
|
| 200 |
+
"metadata/release_manifest.json","3103","cff7af631e213dfa19fd939f2c770baf9ee53c80562f0dd7de4dc86fa7823853"
|
| 201 |
"site_data/v1.0.0/evaluation_metrics.json","4609","5b134e900a2308ad5d3a8c61f72909935c5d61de82350210458c2e978140b1d8"
|
| 202 |
"site_data/v1.0.0/leaderboard_post_rebuttal_real_physics_track_b.csv","2213","02d55c80e7d63e5b907d39789614931c3dc0dcc73d97feaa0d25145f08e17637"
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| 203 |
"site_data/v1.0.0/leaderboard_post_rebuttal_real_proxy_track_c.csv","8146","956471fc5e08dad8b9bd2e14defb4a0d9d7561a3714c94340d89760397a09fe6"
|
metadata/paper_table_provenance.md
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# Camera-Ready Table Provenance Audit
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+
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This note records the current evidence boundary for the ICML 2026
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camera-ready tables and appendix summaries. It is an audit artifact for the
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release bundle.
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## Status Key
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| 8 |
+
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- `exact-rerunnable`: the public code path regenerates the paper value.
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- `exact-from-summary`: the paper value is reproduced exactly by aggregating a
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released or archived summary table.
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- `csv-exact`: the paper value matches the released camera-ready CSV table.
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+
- `source-partial`: the exact low-level raw rows or merge scripts are not fully
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present in this checkout.
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+
- `extension-separate`: the file is a later benchmark extension and should not
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overwrite the camera-ready paper snapshot.
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+
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## Main Paper
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| 20 |
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| Item | Paper value/source | Public artifact | Status | Notes |
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| 21 |
+
| --- | --- | --- | --- | --- |
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| 22 |
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| Table 2 / Figure 3 core leaderboard | Six-family, 6-scenario, 50-draw benchmark | `data/paper_tables/paper_core_50draw_leaderboard.csv`, `paper_core_50draw_by_tier.csv`, `global_performance_summary.csv` | `exact-rerunnable` | Regenerated by `code/TSDecompose/scripts/run_paper_benchmark.py`. This is the primary one-command reproduction path. |
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| 23 |
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| Scenario-level values cited in Section 4 | Values used in diagnostics paragraphs | `data/paper_tables/paper_core_50draw_leaderboard.csv` and tier/scenario aggregations | `exact-rerunnable` | Checked against the HF table and camera-ready manuscript. |
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| 24 |
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| CO2 symbolic-regression table | Direct SR vs decompose-then-regress | Paper table and SR outputs | `exact-from-summary` | Runtime is longer than the core leaderboard: approximately 2h with ND2 or 8h with PySR defaults. |
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| 25 |
+
|
| 26 |
+
## Appendix C
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| 27 |
+
|
| 28 |
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| Item | Paper table/claim | Public/rebuttal source | Status | Risk handling |
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| 29 |
+
| --- | --- | --- | --- | --- |
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| 30 |
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| Table 4 bounded tuning | Default and tuned aggregate orders | `data/paper_tables/bounded_tuning_order.csv`; rebuttal prose; `rebuttal_experiments/reports/final_rebuttal_result_report.md`; non-SSA `e1_default_vs_tuned_summary.csv` | `csv-exact`, `source-partial` | The camera-ready text calls this a rebuttal-stage robustness-subset summary. It should not be presented as the one-command leaderboard. |
|
| 31 |
+
| Table 5 period robustness | STL/MSTL true, FFT, and +20% rows | `data/paper_tables/period_robustness.csv`; archived `e3_period_summary.csv` | `exact-from-summary` | Aggregating STL/MSTL over the three configured period scenarios reproduces the table exactly after rounding. |
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| 32 |
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| Table 6 alignment robustness | Injected, unsupervised, truth-guided suite scores | `data/paper_tables/alignment_robustness.csv`; archived `e2_alignment_summary.csv`; final rebuttal report for SSA row | `exact-from-summary`, `source-partial` | Non-SSA rows reproduce from `e2_alignment_summary.csv`; SSA row matches report/HF table, but complete merged SSA raw rows are not in this checkout. Caption frames rankings as protocol-dependent diagnostics. |
|
| 33 |
+
| Table 7 boundary sensitivity | Mean absolute suite-score delta | `data/paper_tables/boundary_sensitivity.csv`; final rebuttal report; closest archived `e4_boundary_summary.csv` | `csv-exact`, `source-partial` | The exact table matches HF and the final report. Closest detailed source reproduces VMD/Wavelet closely but not all rounded values; text frames it as a sensitivity diagnostic, not a primary ranking metric. |
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| 34 |
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| Table 8 real-data proxy panel | Band plausibility, resampling stability, spectrum overlap | `data/paper_tables/real_proxy_panel.csv`; `data/post_rebuttal_second_expansion/real_proxy_track_c/track_c_summary.csv` | `exact-from-summary` | Averaging the six real proxy datasets by method reproduces the table exactly after rounding. |
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| 35 |
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| C.4 CO2/tides mechanism-aware claims | CO2 SSA 0.993/1.000; tides MSTL 0.956/1.000/1.000 | `data/post_rebuttal_second_expansion/real_physics_track_b/track_b_summary.csv` | `exact-from-summary` | Values match the source after rounding. |
|
| 36 |
+
| C.4 semi-synthetic transfer paragraph | Six-family real-background transfer order and CEEMDAN diagnostics | `data/paper_tables/semisynthetic_transfer_summary.csv`; archived old rebuttal semi-synthetic raw files | `exact-from-summary`, `extension-separate` | This is the camera-ready paper snapshot. The separate 22-method semi-synthetic track is a later benchmark extension and may have different method-level ordering. |
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| 37 |
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| MSSA pilot | Synthetic multi-sequence summary | `data/paper_tables/mssa_pilot_summary.csv` | `csv-exact` | Treat as initial synthetic extension evidence, not a complete real-panel benchmark. |
|
| 38 |
+
|
| 39 |
+
## Practical Reproduction Boundary
|
| 40 |
+
|
| 41 |
+
The release should be described as follows:
|
| 42 |
+
|
| 43 |
+
> The public artifact provides a one-command reproduction path for the primary
|
| 44 |
+
> six-family paper-core synthetic leaderboard, plus exact machine-readable CSV
|
| 45 |
+
> snapshots for all camera-ready tables. Appendix robustness and transfer
|
| 46 |
+
> checks are rebuttal-stage sensitivity summaries with available source
|
| 47 |
+
> summaries and metadata; they do not replace the primary leaderboard.
|
metadata/release_manifest.json
CHANGED
|
@@ -42,6 +42,7 @@
|
|
| 42 |
],
|
| 43 |
"alignment_notes": [
|
| 44 |
"data/paper_tables contains exact CSV versions of camera-ready manuscript tables plus paper_core_50draw_leaderboard.csv and paper_core_50draw_by_tier.csv for direct Table 2 reproduction.",
|
|
|
|
| 45 |
"data/paper_figures contains small paper figure assets for leaderboard visual alignment checks.",
|
| 46 |
"site_data/v1.0.0/evaluation_metrics.json records the five paper-core component-recovery metrics, the Table 2 display subset, and the tier-balanced Table 2 aggregation rule.",
|
| 47 |
"synthetic_full22_extension is a benchmark-only 22-method track using the same 6-scenario, 50-draw synthetic protocol where applicable; it should not replace the primary six-family Table 2 / Figure 3 interpretation.",
|
|
|
|
| 42 |
],
|
| 43 |
"alignment_notes": [
|
| 44 |
"data/paper_tables contains exact CSV versions of camera-ready manuscript tables plus paper_core_50draw_leaderboard.csv and paper_core_50draw_by_tier.csv for direct Table 2 reproduction.",
|
| 45 |
+
"metadata/paper_table_provenance.md records which paper tables are one-command rerunnable, which are exact summary-table snapshots, and which are later benchmark extensions.",
|
| 46 |
"data/paper_figures contains small paper figure assets for leaderboard visual alignment checks.",
|
| 47 |
"site_data/v1.0.0/evaluation_metrics.json records the five paper-core component-recovery metrics, the Table 2 display subset, and the tier-balanced Table 2 aggregation rule.",
|
| 48 |
"synthetic_full22_extension is a benchmark-only 22-method track using the same 6-scenario, 50-draw synthetic protocol where applicable; it should not replace the primary six-family Table 2 / Figure 3 interpretation.",
|