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Paper Citation Record · LEDGER

Trust-Oriented Adaptive Guardrails for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.08959.

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

pith.paper-citation-record.v1
2408.08959 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:00:41.260585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T10:23:17.963525Z

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 89e67678-f176-45e6-b059-8393a7d97f2f · inbound

Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothing cites this paper.

Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothing Trust-Oriented Adaptive Guardrails for Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:41.260585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:41.260585Z digest=sha256:7c802969ff1d53118a6791503218af89aa91556777d799c974cb6452d73b76f3

Observation c0248338-25f6-42ee-af3e-9a9cf9e44fe2 · inbound

Who Does Your AI Work For? Designing Conversational Agents as Digital Fiduciaries cites this paper.

Who Does Your AI Work For? Designing Conversational Agents as Digital Fiduciaries Trust-Oriented Adaptive Guardrails for Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:23:17.965242Z

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.

source=pdf_text observed=2026-06-29T10:21:21.871017Z digest=sha256:dc06c1d59a2a109bc3e6aabc8b2d92072d9b14f64a6ede8041f90f85d0aa5b79