Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ThinkSum: Probabilistic reasoning over sets using large language models
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.01293.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T22:27:26.911873Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T22:34:02.004621Z
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 6b7574f7-729d-4178-b113-dfdd7b901ae8 · inbound
Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models cites this paper.
Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models ThinkSum: Probabilistic reasoning over sets using large language models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T11:25:30.856624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation af90e39f-4db7-44c0-9eb3-cdf657be2b2c · inbound
A Multi-Agent LLM Framework for Rating the Quality of Surgical Feedback cites this paper.
A Multi-Agent LLM Framework for Rating the Quality of Surgical Feedback ThinkSum: Probabilistic reasoning over sets using large language models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:34:02.006762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.