Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.14146.
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 2026-08-07T12:08:28.338360Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T03:08:59.547623Z
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 5ca2c538-e768-432d-acc0-5f98cb4c4d11 · inbound
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs cites this paper.
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:08:28.338360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67a8321e-6415-4aa3-bdc3-7eefe6eaae70 · inbound
RewardAnything: Generalizable Principle-Following Reward Models cites this paper.
RewardAnything: Generalizable Principle-Following Reward Models Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:04:06.866772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fe5078d-15d3-4a82-88be-165b410fd056 · inbound
How Many Instructions Can LLMs Follow at Once? cites this paper.
How Many Instructions Can LLMs Follow at Once? Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:13:46.539995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bc30f1f-b59c-4990-af26-f6f209da8d5a · inbound
Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.
Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
Reference 270
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:08:59.549931Z
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.