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Paper Citation Record · LEDGER

Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.06809.

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

pith.paper-citation-record.v1
2410.06809 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:18:40.714261Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:39:08.501889Z

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 4c174fe1-5db0-4db6-bd00-cded87ecad8d · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T16:18:40.714261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:18:40.714261Z digest=sha256:346d3ee1d1cf276d56afb4a0f4cdc5b152ee3b0b9104198a3edf41b048a56263

Observation 8bf99afd-e3bd-40b5-a05c-3b19fdda406d · inbound

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:24.139384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:24.139384Z digest=sha256:4765d93ceb47505c99d291e075b43d0d6e504a7a84e9a9d6cf3db3f01cacc1f4

Observation 39147968-2e08-4d24-a65c-d5434be749fb · inbound

A Survey on Training-free Alignment of Large Language Models cites this paper.

A Survey on Training-free Alignment of Large Language Models Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-05T21:18:49.843031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:18:49.843031Z digest=sha256:e94616614a8dbe7fbaa9c4201d78cc464024b2b4cf67470f9645438f446496a2

Observation 6eb57aa1-a29f-43d4-abae-a9e23073b365 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level

Reference 266

Resolution
verified exact
local_arxiv, observed 2026-08-05T10:39:08.507360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:39:08.216736Z digest=sha256:422e0f158e7069a8205ba1567b6a181628cb3a517e62d472e16b24abc0aae1b1

Observation d8fcfa26-6ad1-49b9-bcbb-a9498d0eda06 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level

Reference 225

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:58.204145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:58.204145Z digest=sha256:41c4ea4c1b54ba3bbe42aeec2a182ddbb98e8593145f7b51959a0e0e074a4c0d