Paper Citation Record · LEDGER

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2508.06776.

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

pith.paper-citation-record.v1
2508.06776 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:40:30.528845Z

measured 22 of 22 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

22 of 22 outbound references displayed

verified exact2
verified fuzzy14
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed0432bf-3aaa-4c89-8ed7-ca78b7452398 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Understanding intermediate layers using linear classifier probes

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.940632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3faac3b9-3573-4e8e-8951-607d05efc627 · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T22:40:28.162136Z

Source-reported events for the cited work

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Observation 10814772-727f-45f7-bd85-1a504842569c · outbound

This paper cites Trends in llm interpretability research.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Trends in llm interpretability research

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.931348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7561c052-80b0-454c-9b2d-dd33508b66ed · outbound

This paper cites Homoclinic Floer homology via direct limits.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Homoclinic Floer homology via direct limits

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T22:40:28.438943Z

Source-reported events for the cited work

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Observation 1665be7e-d40b-4b68-a921-224a676f39c3 · outbound

This paper cites Monitoring latent world states in large language models.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Monitoring latent world states in large language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.922527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af000ee0-6fa2-4b01-8a06-f662e8a5433e · outbound

This paper cites Selective self-supervised fine-tuning for stable representa- tions.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Selective self-supervised fine-tuning for stable representa- tions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.912412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b40897a5-9b02-458b-92ad-9dd61abdca85 · outbound

This paper cites Alphaedit: Null-space constrained knowledge editing for large language models.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Alphaedit: Null-space constrained knowledge editing for large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.902960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c444657-5e98-4b59-8a8a-2dfccd313f96 · outbound

This paper cites Similarity of neural network representations revisited.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Similarity of neural network representations revisited

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T22:40:28.827790Z

Source-reported events for the cited work

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Observation d8ba32d8-282d-4f28-be2e-7ac1af5c934e · outbound

This paper cites The fine-tuning landscape of large language models.Nature Computational Science, 2025.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift The fine-tuning landscape of large language models.Nature Computational Science, 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.888362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 55da83d8-4698-4df8-8e42-2c6ddb3f1748 · outbound

This paper cites Testing the Predictions of Surprisal Theory in 11 Languages.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Testing the Predictions of Surprisal Theory in 11 Languages

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:40:31.439617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5fcd4e86-1f53-47b5-a54c-d52197bd2bc6 · outbound

This paper cites Morcos, Maithra Raghu, and Samy Bengio.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Morcos, Maithra Raghu, and Samy Bengio

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.877867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b073007c-684b-4de0-afc2-6693233194eb · outbound

This paper cites Small singular values matter: A random matrix analysis of transformer representations.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Small singular values matter: A random matrix analysis of transformer representations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:40:29.250696Z

Source-reported events for the cited work

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Observation 770e04db-b978-44fd-a616-d5cd792483dd · outbound

This paper cites On variational alignment of layerwise representations.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift On variational alignment of layerwise representations

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.867670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4735a116-8d01-469d-9583-f85a42c693ae · outbound

This paper cites Schoenholz.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Schoenholz

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.857303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 452290f2-f2f4-4999-83b5-513805cf4155 · outbound

This paper cites Lora-null: Forgetting-free low-rank adaptation via null space.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Lora-null: Forgetting-free low-rank adaptation via null space

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.847735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 05607c75-b184-4a6d-89a7-832b18a0fe99 · outbound

This paper cites Svcca: Singular vector canonical correlation analysis for deep learning dynamics.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Svcca: Singular vector canonical correlation analysis for deep learning dynamics

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.837745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0f2ac151-8075-4f2f-99f6-764e42f860b3 · outbound

This paper cites SpikePropamine: Differentiable Plasticity in Spiking Neural Networks.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift SpikePropamine: Differentiable Plasticity in Spiking Neural Networks

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T22:40:31.059075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ece6594b-bdda-407b-acd2-3bc4d8e889ac · outbound

This paper cites Lora-null: Low-rank adaptation via null space for large language models.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Lora-null: Low-rank adaptation via null space for large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.820590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9bfeff6e-9f9c-4204-9ee5-32bf027ee0b5 · outbound

This paper cites Representation engineering shift: A simple drift detector for llms.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Representation engineering shift: A simple drift detector for llms

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.770544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4a6ca5dc-8601-4ce5-929a-a02f1f39227e · outbound

This paper cites A Free Probabilistic Framework for Analyzing the Transformer-based Language Models.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift A Free Probabilistic Framework for Analyzing the Transformer-based Language Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:40:30.790965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4af78d30-009c-4daf-ae72-6600dd1b76de · outbound

This paper cites Fisher alignment: Measuring policy drift in rlhf.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Fisher alignment: Measuring policy drift in rlhf

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:40:31.635784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4a910ff5-58da-47f2-b6aa-899e2175f7ca · outbound

This paper cites Probing Latent Subspaces in LLM for AI Security: Identifying and Manipulating Adversarial States.

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift Probing Latent Subspaces in LLM for AI Security: Identifying and Manipulating Adversarial States

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T22:40:30.528845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.