Captured record
report:4062:titleHeadline captured
arXiv — Cryptography & Security (cs.CR) recorded this headline on Sep 2, 2026. No lawful structured evidence is available yet to explain the underlying event.
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Brief status
Headline captured
Evidence records
1
Structured pivots
0
Publisher text
Available
Forensia structured brief
Only the source headline is captured. Forensia will not present a generic provenance summary as a threat brief.
Captured record
report:4062:titlearXiv — Cryptography & Security (cs.CR) recorded this headline on Sep 2, 2026. No lawful structured evidence is available yet to explain the underlying event.
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source brief
source-authored · cleanedarXiv:2609.00790v1 Announce Type: new Abstract: Reliable refusal behavior requires Large Language Models (LLMs) to reject harmful prompts with only answering benign ones. Incorrect refusal behavior can either expose users to harmful responses or prevent users from obtaining useful answers. Training-time alignment improves refusal behavior by updating model parameters with safety data, but requires additional computation and training. In contrast, inference-time alignment aims to modify LLM behavior during inference without updating the underlying model parameters. Existing inference-time metho
Cleaned from source-provided descriptive text. This is not independent Forensia analysis. Open the original for the publisher's complete reporting.· sha256:3ba8c7b5ee7fb974…
No structured IOCs, malware families, threat actors or ATT&CK techniques were extracted from this source document.
evidence set
1 recordsGrouping means the records share event anchors. It does not prove that every publisher independently verified the claims.
rights & provenance
Coverage state measures available context, not whether every claim is true or independently corroborated. Unknown publication rights fail closed to metadata and the original source link.
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