Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.16006.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T10:34:41.152496Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-07T17:24:00.444288Z
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 c739426b-005d-4945-a07b-60823ee0170b · inbound
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:34:41.152496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57d726f5-f51c-48a5-9ab8-96839fd9295f · inbound
Data-driven atomistic modelling of hybrid halide perovskite passivation cites this paper.
Data-driven atomistic modelling of hybrid halide perovskite passivation Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T17:24:00.446323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f66c1f8e-0d7f-416e-bfce-e97fdb1fdaa9 · inbound
Learning to Fine-tune Foundation Models under Resource Limitations cites this paper.
Learning to Fine-tune Foundation Models under Resource Limitations Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T09:56:36.512998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.