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Paper Citation Record · LEDGER

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.06992.

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

pith.paper-citation-record.v1
2407.06992 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:00.965871Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:55:55.859161Z

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 a073e4ab-e117-4eca-80e1-be09aef864c6 · inbound

Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems cites this paper.

Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.965871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:06:00.965871Z digest=sha256:e2b8d0524de93453627a9dc8f4c640150b307d730f12b982d0a9f25c211131a0

Observation c798d26d-c647-450e-a3dc-666e5fc2e320 · inbound

The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems cites this paper.

The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:34.358507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:34.358507Z digest=sha256:1f1b995e138e9aea1f857ee170f552bf3309d4a86f7d810e89b250e3abaa592e

Observation 44cf214e-5d84-4fc2-abf6-f3ab3d27a0cb · inbound

On the Scaling of Robustness and Effectiveness in Dense Retrieval cites this paper.

On the Scaling of Robustness and Effectiveness in Dense Retrieval Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:56.824652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:56.824652Z digest=sha256:e832bae42132e1ed208b78c9efb6fc8ab23261dddb65c37067be8cfc7422cbde

Observation 10ee5900-e42f-4fde-a258-0e3950ee49bc · inbound

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR cites this paper.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:39:46.344952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:39:46.344952Z digest=sha256:ab32c10796221e0c5f564775b08cdf3a10a0eddc408d1e8524632891f5da6246

Observation f1f77ed0-da6c-4fda-b996-332099053388 · inbound

Investigating the Robustness of Retrieval-Augmented Generation at the Query Level cites this paper.

Investigating the Robustness of Retrieval-Augmented Generation at the Query Level Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:55:55.868129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:55:54.824283Z digest=sha256:748f1a80185156d35673b17c68c2078339599be4f82981623c2d1d408fbb13f2