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Paper Citation Record · LEDGER

SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.11491.

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

pith.paper-citation-record.v1
2408.11491 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:45:48.318460Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:57:45.383088Z

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 85158df4-cfa6-4212-a0e7-f4fe85959fa2 · inbound

Steering Language Model Refusal with Sparse Autoencoders cites this paper.

Steering Language Model Refusal with Sparse Autoencoders SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T18:45:48.318460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:45:48.318460Z digest=sha256:99650a2bff91d21f3cc9abdee956075b0448731a9d9576f6553f98ff6e77836b

Observation fb00025e-2fde-496f-ada9-60fdd03e273f · inbound

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models cites this paper.

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:30.555746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:30.555746Z digest=sha256:6f9bb71d172bd4dabf4db80666e14780ea3942bdec663485a4ce7d97168bc14e

Observation 726904d6-d266-4a7f-9c8b-748683ec8d7f · inbound

PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage cites this paper.

PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:46.065981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:36:46.065981Z digest=sha256:3da4e49e12d2db88144aa8550f6c6e6a92cefcce71f5deb6777d32bab7353e01

Observation 6363d2f3-5563-4c94-9ffc-1ed0b9af19d9 · inbound

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning cites this paper.

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:57:45.412418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T19:57:43.549520Z digest=sha256:563f070bae142e5ca82a32bb05d08257bc6341fa46ea47c6f4d4ee27f282ae1e