Yes, Christian, that is the case. It never occurred to me that it could be a problem; I’ve always had it turned on and it used to work (I think). Perhaps I was temporarily turning it off previously.
Many thanks. ==Tamer > On May 16, 2023, at 10:13 AM, Christiaan Hofman <[email protected]> wrote: > > Do you have automatic cite key generation turned on (and is your cite key > format %a1:%Y%u2)? > > Christiaan > >> On 16 May 2023, at 16:03, M. Tamer Özsu via Bibdesk-users >> <[email protected]> wrote: >> >> I have run into an interesting issue with Bibdesk (1.8.16) that I had not >> encountered before. I have a .bib file that has entries like the following. >> The relevant part of this is the @inproceedings{icde22_Wang:2022aa line. >> When I copy them into my master Bibdesk library, it loses the “icde22_” and >> shows the Cite Key as "Wang:2022aa”. If I manually go in and update the Cite >> key, it shows the “icde22_” but not when I copy/paste it the bibtex record. >> Any ideas as to why this might be happening would be appreciated. In the >> meantime, I’ll try on another machine to see if it something with my setup. >> >> @inproceedings{icde22_Wang:2022aa, >> author = {Wang, Haibo and Ma, Chaoyi and Chen, Shigang and Wang, >> Yuanda}, >> booktitle = ICDE22, >> date-added = {2023-05-16 09:11:03 -0400}, >> date-modified = {2023-05-16 09:11:04 -0400}, >> doi = {10.1109/ICDE53745.2022.00005}, >> issn = {2375-026X}, >> keywords = {ICDE22,Measurement;Estimation error;Art;Social networking >> (online);Throughput;Data engineering;Servers;Cardinality >> Estimationi;Online;Self morphing;Bitmap}, >> pages = {1--13}, >> title = {Online Cardinality Estimation by Self-morphing Bitmaps}, >> year = {2022}, >> abstract = {Estimating the cardinality of a data stream is a >> fundamental problem underlying numerous applications such as traffic >> monitoring in a network or a datacenter, popularity tracking on social >> media, and cache optimization in proxy servers. Existing solutions suffer >> from high processing/query overhead or memory in-efficiency, which prevents >> them from operating online for data streams with very high arrival rates. >> This paper takes a new solution path different from the prior art and >> proposes a self-morphing bitmap, which combines operational simplicity with >> structural dynamics, allowing the bitmap to be morphed in a series of steps >> with an evolving sampling probability that automatically adapts to different >> stream sizes. We evaluate the self-morphing bitmap theoretically and >> experimentally. The results demonstrate that it significantly outperforms >> the prior art.}, >> bdsk-url-1 = {https://doi.org/10.1109/ICDE53745.2022.00005}} >> >> >> ==Tamer >> -- >> M. Tamer Özsu >> University of Waterloo >> Cheriton School of Computer Science >> https://cs.uwaterloo.ca/~tozsu > > > > _______________________________________________ > Bibdesk-users mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/bibdesk-users
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