Paper Citation Record · LEDGER

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.23711.

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

pith.paper-citation-record.v1
2607.23711 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T15:13:37.017432Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bde84dac-73ec-4922-819c-b0bef3ca3df1 · outbound

This paper cites Shuttleworth, J.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Shuttleworth, J

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.874757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3207b65-d801-40e4-8662-066a317504a5 · outbound

This paper cites Qwen2.5 Technical Report.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Qwen2.5 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.973416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b83cc7-836c-461f-9820-f56783562809 · outbound

This paper cites The Llama 3 Herd of Models.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning The Llama 3 Herd of Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.979052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3764e877-bc21-4186-8b71-3cb1bf7b797b · outbound

This paper cites Mistral 7B.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Mistral 7B

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.985054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c99d837-0da1-4376-b1f2-3d33fb9a13a3 · outbound

This paper cites 2 OLMo 2 Furious.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning 2 OLMo 2 Furious

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.990053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a40cd745-0104-4855-a40a-cba4472a726a · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.995725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d400c04-9971-46cb-90ea-64411d346db7 · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning OLMoE: Open Mixture-of-Experts Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:37.001277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9034e64-53da-4c16-8387-adfcc83b5d2f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Training Verifiers to Solve Math Word Problems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:37.007026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f3f4c05-b874-4f87-a6ad-e34403b5763b · outbound

This paper cites MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:37.017432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7853d27c-6b3a-49d4-bdff-c5343ad88b53 · outbound

This paper cites Spectral phase transitions and trainability in neural network learning dynamics.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Spectral phase transitions and trainability in neural network learning dynamics

Reference 1978

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.944731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd9d91b8-e699-478f-92d8-d3d4517909f6 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.962058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a42214-a327-4668-b163-e8b66c5929b9 · outbound

This paper cites Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.913353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f228ec5f-8425-4b45-b5fe-c3a55b9b09ca · outbound

This paper cites Scaling Laws for Forgetting When Fine-Tuning Large Language Models.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Scaling Laws for Forgetting When Fine-Tuning Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.968236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c066fd16-c394-489b-96d7-0267ab299245 · outbound

This paper cites Xiong, X.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Xiong, X

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.956401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2edab8e7-b783-4990-8186-bf6773b5cf09 · outbound

This paper cites GAIN: Multiplicative Modulation for Domain Adaptation.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning GAIN: Multiplicative Modulation for Domain Adaptation

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:36.921062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.