ClaimIt: Finding Convincing Views to Endorse a Claim
Summary: ClaimIt finds “natural” supporting or opposing views for user-specified aggregate-comparison claims by scoring subpopulation characterizations on conciseness, significance and interpretability. Interactive system ranks and filters the plenitude of candidate views and lets users tune metric weights to inspect claim robustness. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Shunit Agmon
- 2. David Avigdor
- 3. Brit Youngmann
- 4. Amir Gilad
- 5. Benny Kimelfeld
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,740 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,686 | On Detecting Cherry-picked Trendlines | 2020 | VLDB | 6.84423e-05 |
| 10,740 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 4.1945683e-05 |
| 11,419 | On Detecting Cherry-picked Generalizations | 2022 | VLDB | 4.1945683e-05 |
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