Acquisition position
Eva Een · Prints and works on paper · Helsingborgs Auktionskammare
Acquisition position
Potential market value
Evidence strength
Market anomaly
Risk profile
Investigation rationale
Decision guardrails
Visual laboratory
Object record
Ramstorlek 25 x 31 cm Has resale rights.
Identity resolution
Ranked from independent evidence. Confirmation or rejection becomes controlled training data.
Visual 0% · Name 86% · Marks 25% · Material 40%
33% combined confidenceVisual 0% · Name 86% · Marks 25% · Material 40%
33% combined confidenceVisual 0% · Name 86% · Marks 25% · Material 40%
33% combined confidenceVisual 0% · Name 40% · Marks 25% · Material 40%
25% combined confidenceVisual 0% · Name 38% · Marks 25% · Material 40%
25% combined confidenceVisual 0% · Name 35% · Marks 25% · Material 40%
24% combined confidenceVisual 0% · Name 35% · Marks 25% · Material 40%
24% combined confidenceClosed deal feedback
Enter the verified hammer price after the auction closes. Only verified outcomes become calibration data.
Learning guardrail
Global research evidence
Eva Hesse American, born Germany, 1936–1970
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoEva Gonzalès (French, 1849–1883)
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoEva Hesse American, born Germany, 1936–1970
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoEva Hesse American, born Germany, 1936–1970
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoEva Hesse American, born Germany, 1936–1970
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoEva Gonzalès French, 1849-1883
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoEva Hesse American, born Germany, 1936-1970
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoDesigned by Eva Zeisel (American, born Hungary, 1906–2011) Castleton China Company New Castle, Pennsylvania
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoEdvard Munch Norwegian, 1863-1944
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoGreg Lynn FORM (American, founded 1994) Greg Lynn (American, born 1964)
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoMarion Perkins (American, 1908–1961)
0% similarityCheck object rights; API metadata is openArt Institute of ChicagoMaster E. S. German, active c. 1450-1467
0% similarityCheck object rights; API metadata is openComparable logic
| Comparable ID | Match | Price | Reasons |
|---|---|---|---|
| 8376 | 54% | 450.0 SEK | identity 60%, material 45%, size 62%, title 70%, edition 45% |
| 9084 | 50% | 9550.0 SEK | identity 56%, material 45%, size 62%, title 51%, edition 45% |
| 6264 | 50% | 2600.0 SEK | identity 45%, material 45%, size 62%, title 74%, edition 45% |
| 6572 | 50% | 300.0 SEK | identity 45%, material 45%, size 62%, title 72%, edition 45% |
| 2647 | 49% | 500.0 SEK | identity 48%, material 45%, size 62%, title 61%, edition 45% |
| 4174 | 49% | 200.0 SEK | identity 53%, material 45%, size 62%, title 48%, edition 45% |
| 6892 | 49% | 550.0 SEK | identity 45%, material 45%, size 62%, title 68%, edition 45% |
| 7122 | 49% | 200.0 SEK | identity 45%, material 45%, size 62%, title 65%, edition 45% |
Automatic signature module
The local engine detects and isolates candidate regions, searches the trusted mark library and runs conservative signature forensics. Optional AI interprets unreadable regions and creates research queries without changing the forensic verdict.
The module runs during normal analysis when a local image is available.
Marks laboratory
110 independent methods generate cleanup variants, stroke and symbol descriptors, library matches, trust controls and conflict warnings.
Signature forensics
This does not declare a signature genuine. It measures fit against a multi-source reference set, confusing signers and natural variation.
Run mark matching first, then compare the questioned signature against a sufficiently broad trusted reference set.