Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.08888.
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 2026-08-05T12:31:25.838316Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T05:32:05.680652Z
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 25663c8f-90f6-483c-976c-f264e5668a83 · inbound
The Generalization Ridge: Information Flow in Natural Language Generation cites this paper.
The Generalization Ridge: Information Flow in Natural Language Generation Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:32:05.683122Z
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 449d83d9-0dbf-4320-b428-a0201668c373 · inbound
Forward-Only Continual Learning cites this paper.
Forward-Only Continual Learning Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:31:25.838316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.