Paper Citation Record · LEDGER

Tamper-Resistant Safeguards for Open-Weight LLMs

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2408.00761.

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

pith.paper-citation-record.v1
2408.00761 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:56:28.187316Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:58:47.266895Z

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 84378219-be70-47eb-b045-e8be90f1fa93 · inbound

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

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 144

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:25.958886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99ed0a68-db84-4abd-bb7c-0eabd1b42ff8 · inbound

Secure LLM Fine-Tuning via Safety-Aware Probing cites this paper.

Secure LLM Fine-Tuning via Safety-Aware Probing Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:11:35.792350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 79694803-20ba-4bc8-a100-c1970821ae51 · inbound

Towards Integrated Alignment cites this paper.

Towards Integrated Alignment Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 2025

Resolution: malformed identifier; no resolver link, observed 2026-08-05T22:56:28.187316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b786040-f6e5-476a-bf06-72165ed3e913 · inbound

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning cites this paper.

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:46:17.116528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b82adb25-374f-4802-bf7b-ceffd2bb1671 · inbound

CacheTrap: Unveiling a Stealthier Gray-Box Trojan against LLMs cites this paper.

CacheTrap: Unveiling a Stealthier Gray-Box Trojan against LLMs Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:14:00.155118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5409273a-ae7e-4ee8-beaf-5d42683a99a9 · inbound

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories cites this paper.

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T18:41:34.212799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb9b195-6a58-47f2-9ecf-447dd540ddd0 · inbound

Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.

Robust Policy Optimization to Prevent Catastrophic Forgetting Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:37:24.175635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 318d1ff5-2362-4a97-8bd0-5f0406b44834 · inbound

Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains cites this paper.

Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:16:14.104378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 98e7d853-8b19-4e6a-b457-09320dd21d99 · inbound

Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter cites this paper.

Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:06:59.987995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c736ebea-b22e-40f4-9696-7b30414548fc · inbound

One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries cites this paper.

One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:05:04.108905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 943069a1-ce44-4af4-aa9e-9cc7adefb9c1 · inbound

RepSelect: Robust LLM Unlearning via Representation Selectivity cites this paper.

RepSelect: Robust LLM Unlearning via Representation Selectivity Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:58:47.268760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0685c087-0354-46ee-85c4-07b18f4a1766 · inbound

FlipGuard: Defending Large Language Models Against Quantization-Conditioned Backdoor Attacks cites this paper.

FlipGuard: Defending Large Language Models Against Quantization-Conditioned Backdoor Attacks Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.661358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b67c46e8-f480-457c-985b-e1b14276b069 · inbound

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.742903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 38d2f7f6-5c06-442c-8c8b-ac8bcc26e93d · inbound

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T04:39:06.903773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3173a2fd-05d9-4853-8bcc-199d3f156a70 · inbound

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats cites this paper.

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-02T10:25:19.922744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f6f2b5-8b9c-41e2-a1b3-d9be574f659c · inbound

Engineering Trustworthy Agentic AI for Critical Systems cites this paper.

Engineering Trustworthy Agentic AI for Critical Systems Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T15:07:27.834694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94205cbb-2c55-4207-bd4c-53627cf2b5ca · inbound

Emergent Misalignment Recruits a Pre-existing Persona Subspace cites this paper.

Emergent Misalignment Recruits a Pre-existing Persona Subspace Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 204

Resolution: unresolved; no resolver link, observed 2026-08-01T07:46:22.166900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.