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Paper Citation Record · LEDGER

Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.11182.

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

pith.paper-citation-record.v1
2504.11182 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:39:20.598420Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.200124Z

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 92e63a33-199c-4636-b7aa-e53aa11e8097 · inbound

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense cites this paper.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T16:39:20.598420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:39:20.598420Z digest=sha256:1e6be4d30ac0779366ca901c3468d7a367396fca8496ecbb824748315399e29b

Observation 966a619e-49cf-4ffa-bad1-bce620f85ab2 · inbound

VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems cites this paper.

VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-03T04:00:16.616984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:00:16.616984Z digest=sha256:00fb4e313abbe342f476f2fd4693c18ba0086bb8dff1468bfe0123693ecffad3

Observation dacc664c-930a-4a86-93bb-0109efd76f12 · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

Reference 173

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.216222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:4edd62f6c0c429ba436bc9deb7821012f4d9e89c47fa0ec7d004eee7f69e310d

Observation 5ea070ab-7bea-4702-a35a-58b1a9b66b95 · inbound

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity cites this paper.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.144046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.144046Z digest=sha256:dc32574845a29893272ed7bbb7b87f2082e8ed34bfe60a8fdb19a32e8a0ca86a