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Paper Citation Record · LEDGER

Corpus Poisoning via Approximate Greedy Gradient Descent

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.05087.

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

pith.paper-citation-record.v1
2406.05087 v2

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 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:01:32.041831Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:21:06.591299Z

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 b39bad75-9ee1-4615-82c4-258bd8ea8ac9 · inbound

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks cites this paper.

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks Corpus Poisoning via Approximate Greedy Gradient Descent

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T10:24:21.731720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:24:21.731720Z digest=sha256:47e110f85712c5910c41aba0bed05e03186f2fa2e0e2803153a6268e1cdb27b9

Observation 8b7d4c5f-b48d-4017-b85a-770b688b61d5 · inbound

Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval cites this paper.

Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval Corpus Poisoning via Approximate Greedy Gradient Descent

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:46.964744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:46.964744Z digest=sha256:232226c6a87b77377890960811d22c5281c3d7eb5b0b613a9f73981a0203c086

Observation 3e583307-fe63-4a0f-89b0-7af8354cd667 · inbound

Hoist with His Own Petard: Inducing Guardrails to Facilitate Denial-of-Service Attacks on Retrieval-Augmented Generation of LLMs cites this paper.

Hoist with His Own Petard: Inducing Guardrails to Facilitate Denial-of-Service Attacks on Retrieval-Augmented Generation of LLMs Corpus Poisoning via Approximate Greedy Gradient Descent

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T05:01:32.041831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:01:32.041831Z digest=sha256:c1fb7e3342d3d2e289532420cfa4ffa8ea27dbbcb9ae98353784953469a55b29

Observation 01b51a31-8c53-41c4-82da-36c89d5806a2 · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation Corpus Poisoning via Approximate Greedy Gradient Descent

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:58.465950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:58.465950Z digest=sha256:83c8052d636b439453c55d760bed07896d72181ea4dacb80c0597b4b01940871

Observation 6106ad63-719a-4fd9-864a-a57783421805 · inbound

Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models cites this paper.

Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models Corpus Poisoning via Approximate Greedy Gradient Descent

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:06.594464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T17:37:56.757376Z digest=sha256:f9e79b56d901384f5a91cd159fdac9b06256209f5a916398008b18e8ce9d3602