Lot Machine: Multimodal Lot Extraction from Auction Catalogs
Quick summary
arXiv:2608.30510v2 Announce Type: replace-cross Abstract: For provenance research and art market studies, auction catalogs are an essential resource to trace specific objects over time and space. While historical auction catalogs follow established domain conventions, their internal formatting remains highly variable, and their large-scale analysis is currently restricted by the lack of machine-readable representations of the auction lots. We propose a pipeline to automatically extract structured lot-level metadata from German Sales, a large database of historical auction and sales catalogs fr
Key takeaways
- arXiv:2608.30510v2 Announce Type: replace-cross Abstract: For provenance research and art market studies, auction catalogs are an essential resource to trace specific objects over time and space.
- While historical auction catalogs follow established domain conventions, their internal formatting remains highly variable, and their large-scale analysis is currently restricted by the lack of machine-readable representations of the auction lots.
- We propose a pipeline to automatically extract structured lot-level metadata from German Sales, a large database of historical auction and sales catalogs fr
Why it matters
This model development creates a new option for users and a new testing obligation for developers. A fixed evaluation set comparing quality, cost and failure behavior is more useful than launch claims.
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