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Paper Citation Record · LEDGER

Walking a Tightrope -- Evaluating Large Language Models in High-Risk Domains

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.14966.

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

pith.paper-citation-record.v1
2311.14966 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:51:52.899304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:05:26.755662Z

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 bbf95a3c-83af-496a-9ed3-03c22207d1ab · inbound

Powering LLM Regulation through Data: Bridging the Gap from Compute Thresholds to Customer Experiences cites this paper.

Powering LLM Regulation through Data: Bridging the Gap from Compute Thresholds to Customer Experiences Walking a Tightrope -- Evaluating Large Language Models in High-Risk Domains

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T20:51:52.899304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:51:52.899304Z digest=sha256:610e773001c64d2679a17c389dd5e8a5602fdd308ac3ad833c25d374095ecf00

Observation 74c0028f-4bf7-41e0-aa8a-e3a70949fe0a · inbound

BarrierSteer: LLM Safety via Learning Barrier Steering cites this paper.

BarrierSteer: LLM Safety via Learning Barrier Steering Walking a Tightrope -- Evaluating Large Language Models in High-Risk Domains

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:05:26.758135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-25T07:02:03.058731Z digest=sha256:ae9a31cad207e3703e79d98270bbcb4e24e5d2d8bf21161f9640eab32f47cb61