Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.01825.
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 2026-06-28T07:27:56.163337Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T06:16:43.803613Z
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 91ed4f96-5479-48ed-b0d0-04ec4ccb16d0 · inbound
Engineering Resource-constrained Software Systems with DNN Components: a Concept-based Pruning Approach cites this paper.
Engineering Resource-constrained Software Systems with DNN Components: a Concept-based Pruning Approach Improving Concept Alignment in Vision-Language Concept Bottleneck Models
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:20:59.202905Z
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 2a816a54-9feb-44cf-973b-460c7681151a · inbound
Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models cites this paper.
Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models Improving Concept Alignment in Vision-Language Concept Bottleneck Models
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T06:16:43.805240Z
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.