Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.00631.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:12.143489Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T08:17:45.521021Z
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 1f9337d4-fd4b-4e68-b4c6-cd529654f52e · inbound
CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs cites this paper.
CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:33:12.143489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc175a45-8b26-4d59-9487-06141d02fccc · inbound
CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels cites this paper.
CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:06:43.002860Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c19ba50-eb8a-468b-9171-5c953645518b · inbound
Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains cites this paper.
Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:02:40.533225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50e43d54-8a0d-4742-8df3-5a3e9045f193 · inbound
Let the Target Select for Itself: Data Selection via Target-Aligned Paths cites this paper.
Let the Target Select for Itself: Data Selection via Target-Aligned Paths ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:51:17.982139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 53ce32c5-741f-41a9-9b13-05c91144cb63 · inbound
CODEBLOCK: Learning to Supervise Code at the Right Granularity cites this paper.
CODEBLOCK: Learning to Supervise Code at the Right Granularity ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T08:17:45.522648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.