Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.07066.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:01.788971Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T05:32:05.673035Z
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 c5f99ce4-bf40-445a-88f4-8be739c36be6 · inbound
Void in Language Models cites this paper.
Void in Language Models Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:37:01.788971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 995d0c83-1955-4ccb-939b-581fcdc64688 · inbound
The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models cites this paper.
The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:19:00.528159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f40ceb79-67d4-4f13-aab9-049b4ef2b259 · inbound
The Generalization Ridge: Information Flow in Natural Language Generation cites this paper.
The Generalization Ridge: Information Flow in Natural Language Generation Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:32:05.674938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 258533b7-67c7-4c2d-b1dc-91b407b6ebe1 · inbound
SATORI: Static Test Oracle Generation for REST APIs cites this paper.
SATORI: Static Test Oracle Generation for REST APIs Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:26:48.659646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80b11fd2-a957-4a8a-9c82-4bd631996fce · inbound
Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training cites this paper.
Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:33:33.839644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.