Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unpacking Large Language Models with Conceptual Consistency
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.15093.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:15:12.991502Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T17:51:54.928609Z
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 e72bbb16-8184-4ab5-88fa-478e74efa3d7 · inbound
Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses cites this paper.
Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses Unpacking Large Language Models with Conceptual Consistency
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:15:12.991502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be13cee1-e19a-4db3-a929-f4a9469777cd · inbound
If Concept Bottlenecks are the Question, are Foundation Models the Answer? cites this paper.
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Unpacking Large Language Models with Conceptual Consistency
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.931738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0f4f850-c330-4b5a-84f8-f267ed04e3fd · inbound
Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations cites this paper.
Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations Unpacking Large Language Models with Conceptual Consistency
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T21:49:05.314631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.