Paper Citation Record · LEDGER

VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.15179.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.15179 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:24:06.392563Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T09:48:48.215213Z

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 4deafc04-b63a-48fc-9722-af575f39c344 · inbound

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps cites this paper.

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T19:24:06.392563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13138f66-f61b-4c0d-a2a1-8f25d9b657ed · inbound

Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs cites this paper.

Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T22:08:56.454506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d117d474-be56-490a-8b6d-b6817e912ae1 · inbound

TLoRA: Task-aware Low Rank Adaptation of Large Language Models cites this paper.

TLoRA: Task-aware Low Rank Adaptation of Large Language Models VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:48:48.216899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 84e5c9bb-d890-4359-8a30-66cbd295d0ef · inbound

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing cites this paper.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T08:38:02.220727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.