Paper Citation Record · LEDGER

Model Immunization from a Condition Number Perspective

As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.23760.

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

pith.paper-citation-record.v1
2505.23760 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:23.145535Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy6
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d939ba31-eeee-4d4e-af81-efde34a53b25 · outbound

This paper cites Fast and Near-Optimal Diagonal Preconditioning.

Model Immunization from a Condition Number Perspective Fast and Near-Optimal Diagonal Preconditioning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:22.126865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fce211df-0c51-4718-9402-5bc154bf0070 · outbound

This paper cites Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models.

Model Immunization from a Condition Number Perspective Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:22.251455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d82039a-e4d5-4785-b8cb-2d400d6c7e22 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Model Immunization from a Condition Number Perspective Adam: A Method for Stochastic Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:22.388039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235680fb-a9d2-4785-bb20-d78c76be7dbe · outbound

This paper cites an unresolved cited work.

Model Immunization from a Condition Number Perspective Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:22.605809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd95401d-6d87-4d86-aede-79cee144f757 · outbound

This paper cites (4) [Monotonic Decrease] If σmax S is unique, update S with ∇SRwell(S) such that S′ =S−η 1∇SRwell(S) for 0< η1 < κ(S)−1 (1− 1 p )κ(S)+ 1 p , thenκ(S ′)< κ(S).

Model Immunization from a Condition Number Perspective (4) [Monotonic Decrease] If σmax S is unique, update S with ∇SRwell(S) such that S′ =S−η 1∇SRwell(S) for 0< η1 < κ(S)−1 (1− 1 p )κ(S)+ 1 p , thenκ(S ′)< κ(S)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:24.096627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3de1b654-3d1f-4c3e-bfb3-819908bd0de7 · outbound

This paper cites an unresolved cited work.

Model Immunization from a Condition Number Perspective Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:46:23.776326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e1a00969-d471-436f-88e6-954f146d9e76 · outbound

This paper cites The feature embedding sizes for ResNet18 and ViT are 512 and 768, respectively.

Model Immunization from a Condition Number Perspective The feature embedding sizes for ResNet18 and ViT are 512 and 768, respectively

Reference 224

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:23.609486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9736e696-9a91-47a5-a539-ac1d7e59da9d · outbound

This paper cites Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey.

Model Immunization from a Condition Number Perspective Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey

Reference 1952

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:21.969537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bda766a-2a64-48ed-8922-0f6c84dbfbd3 · outbound

This paper cites Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data.

Model Immunization from a Condition Number Perspective Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data

Reference 1984

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:22.513757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd166df-9702-4669-8956-cd14cf98f922 · outbound

This paper cites In this case, for the singular value decompositionS=UDiag(σ)V ⊤, ∇(f◦σ) (S) =UDiag(∇f(σ))V ⊤.

Model Immunization from a Condition Number Perspective In this case, for the singular value decompositionS=UDiag(σ)V ⊤, ∇(f◦σ) (S) =UDiag(∇f(σ))V ⊤

Reference 1995

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:23.938846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55c856c7-dd51-492a-bce4-1ed201f0e4bb · outbound

This paper cites Y ., Okolo, C.

Model Immunization from a Condition Number Perspective Y ., Okolo, C

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:24.865939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8602c750-6b2b-45ff-b1ca-c2d7c0c97dce · outbound

This paper cites A, we provide the complete statements of the properties ofR well(S)for minimizing the condition number.

Model Immunization from a Condition Number Perspective A, we provide the complete statements of the properties ofR well(S)for minimizing the condition number

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:24.315930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6bc673a7-134f-4689-9483-1d23fb0737e5 · outbound

This paper cites Certified Data Removal from Machine Learning Models.

Model Immunization from a Condition Number Perspective Certified Data Removal from Machine Learning Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:21.862283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c2edfc7-49b7-4e00-9a40-d481c638c6ca · outbound

This paper cites Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs.

Model Immunization from a Condition Number Perspective Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:22.689785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5089dfde-4759-4537-93d7-770eaf8761fc · outbound

This paper cites The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation.

Model Immunization from a Condition Number Perspective The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:21.718865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b255a16-f422-468b-8038-bdea6304b59e · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Model Immunization from a Condition Number Perspective Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:21.277341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa6343f-34a1-4370-b977-a7e3e8bb0f0d · outbound

This paper cites Bertran, M.

Model Immunization from a Condition Number Perspective Bertran, M

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:24.620627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.