Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Certified Robustness for Large Language Models with Self-Denoising
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.07171.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:43:24.830390Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:07:23.503764Z
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 09846fd6-8ed7-4c17-9800-30dad4edac3c · inbound
Baseline Defenses for Adversarial Attacks Against Aligned Language Models cites this paper.
Baseline Defenses for Adversarial Attacks Against Aligned Language Models Certified Robustness for Large Language Models with Self-Denoising
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:24:40.239132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 44d735c9-2e65-403d-aad6-937d984c55cd · inbound
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey Certified Robustness for Large Language Models with Self-Denoising
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T21:08:25.840482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bdf6d03d-f83b-47cf-8651-1ae4ad5df79f · inbound
Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks cites this paper.
Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks Certified Robustness for Large Language Models with Self-Denoising
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:43:24.830390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92f773cb-ca90-41bd-8774-a19389631a34 · inbound
FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning cites this paper.
FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning Certified Robustness for Large Language Models with Self-Denoising
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:16:03.848386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ac0cfafd-147d-40d9-abf8-92136800e00b · inbound
When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack cites this paper.
When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack Certified Robustness for Large Language Models with Self-Denoising
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:02:53.722792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1ae1a975-3cde-4a14-b772-b6fdf2cede26 · inbound
Harnessing non-adversarial robustness in large language models cites this paper.
Harnessing non-adversarial robustness in large language models Certified Robustness for Large Language Models with Self-Denoising
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:23:13.342503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4b72e5f7-0b92-4603-88d3-71b62ea2706b · inbound
DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.
DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Certified Robustness for Large Language Models with Self-Denoising
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T21:07:23.505121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.