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Paper Citation Record · LEDGER

Adversarial Attacks against Neural Ranking Models via In-Context Learning

As of 23 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 3 inbound Pith citation observations for arXiv:2508.15283.

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

pith.paper-citation-record.v1
2508.15283 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:02:29.830545Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:44:10.378820Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:21:06.597102Z

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a33fde8a-b4ae-402c-974b-93467d4dc657 · outbound

This paper cites an unresolved cited work.

Adversarial Attacks against Neural Ranking Models via In-Context Learning Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:02:31.436062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T18:02:29.188462Z digest=sha256:296259dbca3b77c76231968423b1f7e3a7e2c4cd461980e67c3b4bea738a66cc

Observation ac26cfd4-c1e5-494a-a359-79e23266b613 · outbound

This paper cites an unresolved cited work.

Adversarial Attacks against Neural Ranking Models via In-Context Learning Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T18:02:29.830545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:02:29.830545Z digest=sha256:610a7214e497c7df88a921d55c229a05ae6295d002e93840ef1cfe59ecc76667

Observation 3a18375f-b8aa-4505-a06e-c486bf8b76e3 · outbound

This paper cites an unresolved cited work.

Adversarial Attacks against Neural Ranking Models via In-Context Learning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:02:30.900216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T18:02:29.509200Z digest=sha256:ad8dcc15c16dfbf8d06c3381d688ab9cfeac94d55b7921e020d8aeec4ffaf01b

Observation 9263cabd-6856-43cf-8eda-7a62e62dd635 · outbound

This paper cites an unresolved cited work.

Adversarial Attacks against Neural Ranking Models via In-Context Learning Unresolved cited work

Reference 1986

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:02:30.557469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T18:02:29.593996Z digest=sha256:06f520473d80278da416726a4cee813c200b3e1373a0eb8eb43856a27fd79cd5

Observation cf37ee91-8c39-4004-b6fa-5ab737f5f121 · outbound

This paper cites Then they are rotated and resam- pled onto a grid centered at the location of the transient and oriented along the same direction of the slit when the spectrum is taken.

Adversarial Attacks against Neural Ranking Models via In-Context Learning Then they are rotated and resam- pled onto a grid centered at the location of the transient and oriented along the same direction of the slit when the spectrum is taken

Reference 2010

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:02:30.239021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T18:02:29.696940Z digest=sha256:55548517272b6b7b469d22692520f667fe2aa8eb300251c52d3fa52e204bd8bb

Observation f885ef32-8fdd-491e-9505-6db15037fb06 · outbound

This paper cites Milligan et al.

Adversarial Attacks against Neural Ranking Models via In-Context Learning Milligan et al

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:02:31.188290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T18:02:29.265376Z digest=sha256:66445a12c952b484c2c349cb95e7ef3529b11389ad1c4f2f4811b956b5e8616a

Observation 64e28298-03ef-429f-803e-35c302260365 · outbound

This paper cites Dessart & D.

Adversarial Attacks against Neural Ranking Models via In-Context Learning Dessart & D

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T18:02:29.381491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:02:29.381491Z digest=sha256:00009941898c1686e67329d0ead9d094eb724df1867d3e874a2cd30aba76217c

Pith citing papers

Observation 08cfc278-7da6-4c6b-9e7c-187095a36d41 · 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 Adversarial Attacks against Neural Ranking Models via In-Context Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T10:44:10.378820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:44:10.378820Z digest=sha256:e066e79d3f2231a3499ce475c3cf5bd86c1ab6b25709d4975d2998ea3b3bb8fa

Observation 978cd852-ba3e-4c4b-9ee8-d8357915b91a · inbound

Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions cites this paper.

Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions Adversarial Attacks against Neural Ranking Models via In-Context Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:21:03.535087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T15:00:05.173476Z digest=sha256:4536a7f37f294e6c6f9abe1f6a54973c8cf988a2d99394f87e817d9aa536e784

Observation 4a9f2311-0d48-40e1-9429-56c99c878e2f · 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 Adversarial Attacks against Neural Ranking Models via In-Context Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:06.600579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T17:37:56.757376Z digest=sha256:f5b71b1c33b54a6285569bcea4868a72518207510366843aa8cddd87e40e80aa