Paper Citation Record · LEDGER

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2309.14348.

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

pith.paper-citation-record.v1
2309.14348 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:28:49.811945Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:14:40.788988Z

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 aeaa40a0-7599-463a-b09e-f0b523f7175e · inbound

Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:20:44.561823Z

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 89d4f606-6489-4d8a-9803-2cf5ee4b2273 · 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 Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:25.804371Z

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 4b1863eb-3d29-49fb-a8e3-40e0256476e6 · inbound

Paper Summary Attack: Jailbreaking LLMs through LLM Safety Papers cites this paper.

Paper Summary Attack: Jailbreaking LLMs through LLM Safety Papers Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:28:49.811945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd3d5b42-2e5e-4763-ab2e-2b2addca7818 · inbound

Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS cites this paper.

Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T04:46:10.420990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea5ea22f-bccc-43c0-ae88-8d3c153020ed · inbound

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments cites this paper.

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:02:54.673549Z

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 b66173f8-dd3b-4e8b-abdb-0f16668dd1ca · inbound

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-04T22:33:31.926040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c72c90da-83e9-4b29-bd0f-a194d0003486 · inbound

AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments cites this paper.

AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:50.655648Z

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 751e182f-d888-4e85-bff5-6d7c21639e53 · inbound

ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying cites this paper.

ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:45:57.624741Z

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 c63dfc51-94c3-4b1c-b58a-251dc347d6bf · inbound

Ellipsoid Control: A White-list Jailbreak Defense via Benign Latent Modeling cites this paper.

Ellipsoid Control: A White-list Jailbreak Defense via Benign Latent Modeling Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:14:40.790523Z

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 5e6ea70a-49cb-425d-bb61-b5a8cff0c5f5 · inbound

Learning from Mistakes: Can LLM Self-Recover after Misalignment? cites this paper.

Learning from Mistakes: Can LLM Self-Recover after Misalignment? Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T18:51:10.298187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba8886ca-b654-4e61-8022-fc96553d7efc · inbound

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks cites this paper.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:13.252157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.