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Paper Citation Record · LEDGER

Generating Natural Language Attacks in a Hard Label Black Box Setting

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.14956.

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

pith.paper-citation-record.v1
2012.14956 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:06:38.929089Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:07:00.166386Z

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 09dbc5ae-324f-42b1-b5ec-8c873be4c4a9 · inbound

Confidence Elicitation: A New Attack Vector for Large Language Models cites this paper.

Confidence Elicitation: A New Attack Vector for Large Language Models Generating Natural Language Attacks in a Hard Label Black Box Setting

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T22:06:38.929089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:06:38.929089Z digest=sha256:1163e4fc940ebb28b9da09423fe389a891cae409c301c21096e7ade66a61cf8e

Observation ac259bdb-e3cf-4624-84ce-d02e6844aafe · inbound

TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks cites this paper.

TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks Generating Natural Language Attacks in a Hard Label Black Box Setting

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:07:00.169975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:06:59.992023Z digest=sha256:d88366953c3bf902e51d73e2afd0055a00b9aae3031904a3400f698eb5e3ab9f