Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.02438.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:21:09.355273Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T19:39:40.777795Z
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 5e9fa039-d407-4527-ad16-4aed415917b5 · inbound
Active Learning of Model Discrepancy with Bayesian Experimental Design cites this paper.
Active Learning of Model Discrepancy with Bayesian Experimental Design Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Reference 33
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-08T19:39:40.782933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2c8b2838-9809-4931-8878-42e1e0cd1780 · inbound
Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models cites this paper.
Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:37:33.035200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d717042a-c159-48e4-9500-698aab09e61f · inbound
Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models cites this paper.
Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Reference 140
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:21:09.355273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.