Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Supervised Fine-Tuning Achieve Rapid Task Adaption Via Alternating Attention Head Activation Patterns
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.15820.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:50.045237Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:21:07.294457Z
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 295697fa-3ccd-42ca-879d-7ef5f9d16560 · inbound
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning cites this paper.
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Supervised Fine-Tuning Achieve Rapid Task Adaption Via Alternating Attention Head Activation Patterns
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:50.045237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e998f420-3d1f-48a3-8d52-0df82a4aa6f4 · inbound
Crafting Reversible SFT Behaviors in Large Language Models cites this paper.
Crafting Reversible SFT Behaviors in Large Language Models Supervised Fine-Tuning Achieve Rapid Task Adaption Via Alternating Attention Head Activation Patterns
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:21:07.296496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.