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Paper Citation Record · LEDGER

Prompt Obfuscation for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.11026.

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

pith.paper-citation-record.v1
2409.11026 v4

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:17.822643Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:36:48.448161Z

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 5c86a944-cd53-4906-8dde-a15a4c7d60d9 · inbound

System Prompt Extraction Attacks and Defenses in Large Language Models cites this paper.

System Prompt Extraction Attacks and Defenses in Large Language Models Prompt Obfuscation for Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:17.822643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:17.822643Z digest=sha256:56f324c5c2713460664ad1cd98d9523279be3699b05822b5084568b8483dcd45

Observation ded5aedb-cd8b-4873-9f94-7ee66554a4a4 · inbound

Model Unlearning via Sparse Autoencoder Subspace Guided Projections cites this paper.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Prompt Obfuscation for Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:28:03.823380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:28:03.823380Z digest=sha256:abef97b92e0c8a0d22cb2bea84ab3f0980ea4c04500191b65ada72377c5548a7

Observation 9990c02d-2cb6-4f2b-9d8a-0bc614920306 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Prompt Obfuscation for Large Language Models

Reference 286

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:36:48.518760Z

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=2026-08-06T21:36:47.022637Z digest=sha256:41f5d92badca483fce6fd94834022ec664d271677435a52ed06af4df56c11063