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Paper Citation Record · LEDGER

Exploring Backdoor Vulnerabilities of Chat Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.02406.

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

pith.paper-citation-record.v1
2404.02406 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:54:42.758170Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:42:31.990587Z

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 ac494351-aa6c-426e-98f5-a8e12015de78 · inbound

Neutralizing Backdoors through Information Conflicts for Large Language Models cites this paper.

Neutralizing Backdoors through Information Conflicts for Large Language Models Exploring Backdoor Vulnerabilities of Chat Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T11:25:31.758683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:25:31.758683Z digest=sha256:f2b4b0eb236d284595c08f67ab5228749265f44ee3f5b112f737b9fcd92e98e6

Observation c90d94a8-1848-4756-88bb-3b20d744b3b2 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Exploring Backdoor Vulnerabilities of Chat Models

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-09T00:50:00.406549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.406549Z digest=sha256:dc0f9a2a61f6300501b832363bfb6d72a6b01b733488ba6691ba72634c8d81c8

Observation 77dee6a7-6ba6-4527-8886-9f9960c15f9b · inbound

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models cites this paper.

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models Exploring Backdoor Vulnerabilities of Chat Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T23:54:42.758170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:54:42.758170Z digest=sha256:88aa1f5bc6e88ca35ec730bcce475c1ba01098cdc1df73a01819f1985b4d4ee5

Observation 81585189-c823-4d37-9643-0f1645a60f7a · inbound

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models cites this paper.

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models Exploring Backdoor Vulnerabilities of Chat Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T19:31:54.216361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:31:54.216361Z digest=sha256:5d02205eba4f2c5716739927184cde7df497080b084817e4561708c89b16fdd5

Observation 71332089-ec13-4514-8671-cbafae29be19 · inbound

BadReasoner: Planting Tunable Overthinking Backdoors into Large Reasoning Models for Fun or Profit cites this paper.

BadReasoner: Planting Tunable Overthinking Backdoors into Large Reasoning Models for Fun or Profit Exploring Backdoor Vulnerabilities of Chat Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T18:20:49.474056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:20:49.474056Z digest=sha256:f85560e4c337e33071643f80b91611ce9b07312faafe12868dec95934c4fee21

Observation 86752fb4-e2b1-4eef-96c7-5cacb05e0185 · inbound

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution cites this paper.

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution Exploring Backdoor Vulnerabilities of Chat Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:42:31.994313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T14:42:31.401901Z digest=sha256:06d5dd545500027f2d323e166f7d9ca692a127a92654fe20c7c3c6264f0feca8