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Paper Citation Record · LEDGER

Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.13532.

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

pith.paper-citation-record.v1
2402.13532 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:27.908756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:47:27.213615Z

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 15517f4f-d838-4b4e-9a5c-7398c98f1332 · inbound

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models cites this paper.

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:10:27.908756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:10:27.908756Z digest=sha256:206aa78759f0fe7bfc7bbd89e42d228d7a63a5b5daf143f4e7361a544794a724

Observation d27ceba6-2e4f-4dd7-b992-c33bbeba1b0e · inbound

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation cites this paper.

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T16:24:26.553837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:24:26.553837Z digest=sha256:8a8935a107e150f695f1eb094c5aada457cefd934b9be5510ddeb64eab95bb59

Observation cd9255b5-2b1d-41ee-a0c3-3485e5050c68 · inbound

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-04T22:33:31.539336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:33:31.539336Z digest=sha256:53b45c565ce8f8b8870dc183084d0ce1e60b030a1d0988db65e35d9110388200

Observation c11d2e9a-d3cf-4401-9822-9645489a8627 · inbound

Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval cites this paper.

Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-03T19:27:04.156039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:27:04.156039Z digest=sha256:69d76cd986d0190bd516ec7eeb030891d20b5f09945697684e824adb83db0b0a

Observation d15bbe7b-06a8-4da0-b0d1-c3ea92da8977 · inbound

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption cites this paper.

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:47:27.215226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T23:42:23.695930Z digest=sha256:cac966535326722138162605321b34cbb9813a4ca0574540c81b7e351adecab6