Pith. sign in

Paper Citation Record · LEDGER

Triggerless Backdoor Attack for NLP Tasks with Clean Labels

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.07970.

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

pith.paper-citation-record.v1
2111.07970 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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:20:47.821833Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:15:42.486633Z

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 aca82476-07ea-4f10-bc94-08849207c958 · inbound

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations cites this paper.

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations Triggerless Backdoor Attack for NLP Tasks with Clean Labels

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T17:20:47.821833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:20:47.821833Z digest=sha256:8f3fb9790eb87ed3172f5eaf51cc54f6564520e18f1f14f5c4b289d29cfc8dfd

Observation 567f79f8-5ec7-4561-bb60-74a454622479 · inbound

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

Neutralizing Backdoors through Information Conflicts for Large Language Models Triggerless Backdoor Attack for NLP Tasks with Clean Labels

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T11:25:31.733560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:25:31.733560Z digest=sha256:21d08db5b7c2b9d3f835150a3980c5f23e4bc191b66753228fa1f3c0ca13c9e1

Observation 2a0c0632-9423-4130-a557-0ab77ce30f90 · inbound

PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments cites this paper.

PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments Triggerless Backdoor Attack for NLP Tasks with Clean Labels

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:15:42.492987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T14:15:42.302572Z digest=sha256:5cf96b0375e0a28cd3d779636cb8954caf1b59bf02f8b834fdeb683eb2be4a5b