Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.06663.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:52:01.659109Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T13:18:12.641431Z
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 401043c3-2749-44ab-a332-cf595f14b532 · inbound
Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them cites this paper.
Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:52:01.659109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cf4431d-fd47-4f7b-98b2-bafc5a5eeea3 · inbound
Are LLMs Bad at Moral Reasoning? cites this paper.
Are LLMs Bad at Moral Reasoning? Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T13:18:12.643232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 35dde10a-211e-4aea-9640-f587bc17b56d · inbound
Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning cites this paper.
Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:58:13.153990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.