Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.04879.
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 2026-08-07T04:10:20.626807Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T16:13:36.298374Z
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 671af3c1-66a1-4a45-b096-a1c87e563bcf · inbound
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models
Reference 178
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T11:32:36.907469Z
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 6e437d86-a2b3-4f29-8028-87e6250ba37b · inbound
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models
Reference 272
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:23:58.218814Z
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 94ea03ec-cb30-4ec6-97a1-8a341a572f2e · inbound
Long-Short Alignment for Effective Long-Context Modeling in LLMs cites this paper.
Long-Short Alignment for Effective Long-Context Modeling in LLMs LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:10:20.626807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb4c8016-2bb8-4e7a-8f0e-856a29059b59 · inbound
Docopilot: Improving Multimodal Models for Document-Level Understanding cites this paper.
Docopilot: Improving Multimodal Models for Document-Level Understanding LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:57:04.966157Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f12a1e35-8c03-41a0-8386-a606ebb710c8 · inbound
ICICLE: Expanding Retrieval with In-Context Documents cites this paper.
ICICLE: Expanding Retrieval with In-Context Documents LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T16:13:36.300055Z
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.