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Paper Citation Record · LEDGER

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.10819.

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

pith.paper-citation-record.v1
2308.10819 v3

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 2026-08-07T04:42:18.654548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:26:40.392387Z

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 13074700-164a-492c-b7a3-1083207c0a9e · inbound

PRL: Prompts from Reinforcement Learning cites this paper.

PRL: Prompts from Reinforcement Learning Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:26:40.395950Z

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=2026-05-22T14:25:22.002977Z digest=sha256:12c100042190c4938632c72b002ba17741936ca0c4ba6cbcd0eceb96f4de4781

Observation e7f873ee-8494-436c-ba90-50e22b2a5a8f · inbound

When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs cites this paper.

When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:42:18.654548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:42:18.654548Z digest=sha256:3728c1764cd5ff568eb071718ff18dd3f94a7a0dafa0c91a8aab01e7fef3e8c7

Observation 1d1825cf-9627-4107-8be2-573a7587f32a · inbound

Reasoning Up the Instruction Ladder for Controllable Language Models cites this paper.

Reasoning Up the Instruction Ladder for Controllable Language Models Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T07:07:53.640759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:07:53.640759Z digest=sha256:b3ad72c0ce731025f5d7818f127b362ccbcd2ce62b627aecde3f5d2fbee83be7