Paper Citation Record · LEDGER

Backdoor Attacks for In-Context Learning with Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2307.14692.

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

pith.paper-citation-record.v1
2307.14692 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.487696Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:07:33.651000Z

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 88eb2081-cff7-472f-992f-49cf9235224a · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Backdoor Attacks for In-Context Learning with Language Models

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:36:57.144086Z

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.

Observation 5248a5c7-31af-4742-9ee3-5036d636f512 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Backdoor Attacks for In-Context Learning with Language Models

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.487696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78c2c74-df8f-49c9-87d0-4dd07e0a2639 · inbound

Learning Safety Constraints for Large Language Models cites this paper.

Learning Safety Constraints for Large Language Models Backdoor Attacks for In-Context Learning with Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:15.821630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40782972-043c-454d-909b-0499d01e4752 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Backdoor Attacks for In-Context Learning with Language Models

Reference 152

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:19.383134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682cf9c7-d44d-4cf9-9e90-29359eebe5dd · inbound

Public Data Assisted Differentially Private In-Context Learning cites this paper.

Public Data Assisted Differentially Private In-Context Learning Backdoor Attacks for In-Context Learning with Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T17:28:49.000074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e8448b-3173-42dc-9483-0410266b7fbc · inbound

A First Look at the Security Issues in the Model Context Protocol Ecosystem cites this paper.

A First Look at the Security Issues in the Model Context Protocol Ecosystem Backdoor Attacks for In-Context Learning with Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:12:26.291577Z

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.

Observation a4d55487-a7a0-4819-a8c0-23efdd42559a · inbound

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers cites this paper.

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers Backdoor Attacks for In-Context Learning with Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:31:07.697013Z

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.

Observation 8d527315-a387-4a6c-84ee-fe04391d8dd1 · inbound

Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs cites this paper.

Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs Backdoor Attacks for In-Context Learning with Language Models

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T02:07:33.652772Z

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.