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Paper Citation Record · LEDGER

Towards Imperceptible Document Manipulations against Neural Ranking Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.01860.

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

pith.paper-citation-record.v1
2305.01860 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:18:14.305696Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:01:13.364251Z

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 731a03e6-8d50-4279-8365-cab07c046e72 · inbound

Unsupervised dense retrieval with conterfactual contrastive learning cites this paper.

Unsupervised dense retrieval with conterfactual contrastive learning Towards Imperceptible Document Manipulations against Neural Ranking Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T23:18:14.305696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:18:14.305696Z digest=sha256:4066cf552d761883e1f5d67f7dec4f0a24210aabed17cd6446fc08262a15e4d1

Observation d0f4a70f-bfa6-4f3c-8aef-140e65fcb8a6 · inbound

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain cites this paper.

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain Towards Imperceptible Document Manipulations against Neural Ranking Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T10:44:10.405623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:44:10.405623Z digest=sha256:d54a86fc724b74e56eab7aa5d3a25594edbe9f9e0ac12fbde7ffb73c9f2ee47d

Observation a9d17fad-1910-41d1-86e6-196b450fd928 · inbound

Ranking Abuse via Strategic Pairwise Data Perturbations cites this paper.

Ranking Abuse via Strategic Pairwise Data Perturbations Towards Imperceptible Document Manipulations against Neural Ranking Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:01:13.365505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T05:59:19.395269Z digest=sha256:f74e82241e8d3d32911ad11e7bd2dca42c1f1a01058bd471e46feea2672d6d5e