Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.09034.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:36.439944Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T18:55:59.328690Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 685b301d-232a-40af-80eb-116476ab8a6d · inbound
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy cites this paper.
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:36.439944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72e08fb5-ac25-4ee5-b807-4dfe3a923746 · inbound
Operating advanced scientific instruments with AI agents that learn on the job cites this paper.
Operating advanced scientific instruments with AI agents that learn on the job PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:17:23.199027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1c4fe73-e61d-4fe2-948a-14b14811d8aa · inbound
PtyRANNOSAUR: Ptychography with Robust Artificial Neural Networks Optimized for Sub-Angstrom Accuracy and Ultrafast Reconstruction cites this paper.
PtyRANNOSAUR: Ptychography with Robust Artificial Neural Networks Optimized for Sub-Angstrom Accuracy and Ultrafast Reconstruction PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T18:55:59.330015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.