[Bug] Copy citation does not produce a citation

[Jake Smith (jsmith13)]

Which Microsoft Discovery surface?

Microsoft Discovery app (Windows desktop client)

For Services bugs only — which area in this repo?

N/A — this is an app bug

Specific catalog item (Services only)

No response

Microsoft Discovery app version

No response

OS version (app only)

No response

What were you trying to do?

Copy a citation for an ingested document in bookshelf

Steps to reproduce

Right click document in Bookshelf/Documents > Copy Citation

Expected behavior

A citation is put on the clipboard in .ris format (or other recognizable format)

Actual behavior

A semi-anonymized markdown name is copied to the clipboard
"Modeling CO2 adsorption amine-grafted silica-36365dbe2961e4b0.pdf-6372f4e01d315bb7.md"

Logs and diagnostics

No response

Severity

Minor — Annoying, easy workaround

Confirmations

• I have searched existing Bugs discussions before posting.
• This report contains no sensitive, regulated, or proprietary data (no subscription IDs, tenant IDs, tokens, customer data, etc.).
• If this is a Services bug, it concerns catalog content in this repo (agent, starter-kit, tool, skill, docs, or utility) — not general Discovery services platform issues. (Tick N/A if this is an app bug.)

[Steven Truitt (stevetru1)]

Thanks - this one was actually something I meant to remove before we released because it is a known gap we didn't have time to resolve. One question just to understand your preference: what would be your format expectation or ideal form for the citation?

Tracking ID 2839581

[Jake Smith (jsmith13)]

Most publishers will let you export as a .ris file, which looks something like this.

TY - JOUR
AU - Boiko, Daniil A.
AU - MacKnight, Robert
AU - Kline, Ben
AU - Gomes, Gabe
PY - 2023
DA - 2023/12/01
TI - Autonomous chemical research with large language models
JO - Nature
SP - 570
EP - 578
VL - 624
IS - 7992
AB - Transformer-based large language models are making significant strides in various fields, such as natural language processing1–5, biology6,7, chemistry8–10 and computer programming11,12. Here, we show the development and capabilities of Coscientist, an artificial intelligence system driven by GPT-4 that autonomously designs, plans and performs complex experiments by incorporating large language models empowered by tools such as internet and documentation search, code execution and experimental automation. Coscientist showcases its potential for accelerating research across six diverse tasks, including the successful reaction optimization of palladium-catalysed cross-couplings, while exhibiting advanced capabilities for (semi-)autonomous experimental design and execution. Our findings demonstrate the versatility, efficacy and explainability of artificial intelligence systems like Coscientist in advancing research.
SN - 1476-4687
UR - https://doi.org/10.1038/s41586-023-06792-0
DO - 10.1038/s41586-023-06792-0
ID - Boiko2023
ER -