Paper Citation Record · LEDGER

ConPET: Continual Parameter-Efficient Tuning for Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.14763.

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

pith.paper-citation-record.v1
2309.14763 v1

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:28:10.507304Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:35:07.715814Z

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 41ba9f1e-0633-4cf9-a1c1-e91f61aac58c · inbound

Task-Core Memory Management and Consolidation for Long-term Continual Learning cites this paper.

Task-Core Memory Management and Consolidation for Long-term Continual Learning ConPET: Continual Parameter-Efficient Tuning for Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:28:10.507304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c889673-1bb4-41c0-8cde-b067de7deca9 · inbound

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning cites this paper.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning ConPET: Continual Parameter-Efficient Tuning for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:30.379735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34fc9bae-83a5-4151-9d8a-0aad388c2976 · inbound

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs cites this paper.

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs ConPET: Continual Parameter-Efficient Tuning for Large Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:35:07.777232Z

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.

Observation df58d518-78f8-4ad3-b376-4fcb66aab323 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling ConPET: Continual Parameter-Efficient Tuning for Large Language Models

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.583926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.