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Paper Citation Record · LEDGER

Backdooring Textual Inversion for Concept Censorship

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.10718.

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

pith.paper-citation-record.v1
2308.10718 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:34.070320Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:47:28.598937Z

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 6cc36ae3-1d0c-4326-8d87-c5c2b3cfd615 · inbound

Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC) cites this paper.

Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC) Backdooring Textual Inversion for Concept Censorship

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:47:28.601516Z

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=2026-05-23T03:46:15.019944Z digest=sha256:81e6ae793d8e086a85dec2f3741b763d46c9f503258991bedcbb6cb991783f2f

Observation e8ff8bbc-ac47-4260-a6e2-d3107a183f0d · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models Backdooring Textual Inversion for Concept Censorship

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:34.070320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:34.070320Z digest=sha256:412ecc5d304b89ef56568fb8f37088a5ef01c6919803747b613fb96e3a117a9d

Observation 74fbb961-182f-4fb7-9150-2d1a5fae3182 · inbound

Practical, Generalizable and Robust Backdoor Attacks on Text-to-Image Diffusion Models cites this paper.

Practical, Generalizable and Robust Backdoor Attacks on Text-to-Image Diffusion Models Backdooring Textual Inversion for Concept Censorship

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T05:32:12.098732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:32:12.098732Z digest=sha256:7f4cc48bd8efb07fdbf43c503aafbc767eb8ef661a4eab25a5db2ab1990368ba