Pith. sign in

Paper Citation Record · LEDGER

Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.00029.

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

pith.paper-citation-record.v1
2312.00029 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:24:23.412222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:54.929027Z

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 75a8c917-8db3-4c88-9c11-423168de2c56 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.023640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:af3257d636c87dfd378701c60d0e8e49b390b02863aa26e30fc488107aba01d4

Observation 55568abc-3be0-4866-894d-b65a02215dee · inbound

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments cites this paper.

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:02:54.785859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T01:02:07.088724Z digest=sha256:6202de5c526437b8eb2b7d2f4ad5f988fd39be000e02f054d745bb077c2a3528

Observation 5914d115-67d8-40fc-9bc3-059d850101bb · inbound

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection cites this paper.

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T22:24:23.412222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:24:23.412222Z digest=sha256:56e81b27782d683204cd874c1c840570963d59583a7a580d121db766d348f5f3

Observation befcbf67-bbdb-4427-8a02-9bb4c5ce48e4 · inbound

Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs cites this paper.

Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:46:34.417482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:27:13.339411Z digest=sha256:4f9f212e391d12abf2ffada13a4da91e34349f3f310cadfda0a0957d23756608

Observation eb265621-6396-4512-a35a-bdcfdb2513ed · inbound

Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety cites this paper.

Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:38:54.930590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T20:38:16.610310Z digest=sha256:0ff4b27073ff4d570904b2cbb709e0fc00cff929b12af2f431cd816f5f72b4ac