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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:33:34.386760Z

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 6c43937c-122b-4359-bb7e-583b9cec5073 · inbound

Investigating Mixture of Experts in Dense Retrieval cites this paper.

Investigating Mixture of Experts in Dense Retrieval Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T14:33:34.386760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:33:34.386760Z digest=sha256:3aa7a6e5ff9d9df65f4fd867f16b1073400c67bf35cd8db3fcd21b8883514ca1

Observation e38f9b1a-6ea4-4453-ae17-59710fe03dbd · inbound

On the Robustness of Generative Information Retrieval Models cites this paper.

On the Robustness of Generative Information Retrieval Models Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T04:34:27.990664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:34:27.990664Z digest=sha256:c708a88623ec5bc92d28aa8f56608e184251783ad8ebcae66c4534495e923df1

Observation de1d78c5-80bb-406b-a755-e9a6ef162aa5 · inbound

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models cites this paper.

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:36.104494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:32:36.104494Z digest=sha256:55db3907dadf4d65295c16f94c9d9379237355ae8b813107a4ea7faa1ce19d7c

Observation 04385731-b739-4d89-bfe3-70fb27fed106 · inbound

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

Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:46.937498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:46.937498Z digest=sha256:124598bf8fd6e79d1359a53179411be4df72c36efe7c52f072b902299dc80cad

Observation 1287d6a2-f249-4bcd-89a1-280729121d6b · inbound

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks cites this paper.

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T05:49:54.314078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:49:54.314078Z digest=sha256:b12b7febd501d2b3f3413ca84ab4878f40edb7173d5b597a1165a56ebb40f147

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:bbed30293912d31cba40d0ed5613a6e3d559c07891a8d4ffbed41e6d4ea01e4c

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=sha256:6d911495aa783970865f1b94770a57a9b51b9c72280486720c60dbcbc87cc5c4

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=sha256:24748a71457f41175bb5cdd18e9d23fd02e4124e9edd6f3ecd1e9052aafb2ba5

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=sha256:3ef329bea83fc2655273e908e540a697d24628e956512e38f1bf8be6299b3785

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T18:55:54.824283Z digest=sha256:08b15aa2250927aafdcfe2d288e4708c5ce2e2c842029c5f52519a4479ee84a9