Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.17812.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T15:36:04.612958Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T11:58:00.876055Z
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 dde316be-93f3-4f55-bfb5-36f4c2dd0173 · inbound
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models cites this paper.
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T15:36:04.612958Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8422aad-8b57-49da-b1a8-df0355384246 · inbound
FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning cites this paper.
FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:58:00.963271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.