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Paper Citation Record · LEDGER

Improving Passage Retrieval with Zero-Shot Question Generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2204.07496.

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

pith.paper-citation-record.v1
2204.07496 v4

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 2026-08-15T06:32:42.880941+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:21:55.149300Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:34:24.166506Z

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 b00b584f-1290-4481-b66f-0327247f961c · inbound

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks cites this paper.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Improving Passage Retrieval with Zero-Shot Question Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T05:21:55.149300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.149300Z digest=sha256:4ede14a37febd9e12068941408bd314e482f9a3fb2d85cf25deb97650f1d557e

Observation ba4a8530-dc47-4a57-9e0b-369a93f59127 · inbound

DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification cites this paper.

DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification Improving Passage Retrieval with Zero-Shot Question Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T05:16:44.361871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:16:44.361871Z digest=sha256:6636d628ff11b6923f84fcce4cb7576ecc085ea4ef636f8ed4282e87bcc7d52c

Observation c78153ab-6dbf-4104-8d02-3dbd13e86432 · inbound

Multilingual Open QA on the MIA Shared Task cites this paper.

Multilingual Open QA on the MIA Shared Task Improving Passage Retrieval with Zero-Shot Question Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T21:43:28.576269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:43:28.576269Z digest=sha256:0181d725ce67422b24027ee0826ddc7ca1254418771c0573196ad042fa8641c1

Observation 32f8d33e-f92f-4150-a159-c2a10ba338a2 · inbound

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval cites this paper.

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval Improving Passage Retrieval with Zero-Shot Question Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T14:32:38.016980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:32:38.016980Z digest=sha256:889c5db51b64cbce81ed15d4f1ebe2634c865fed7b09d7453dbe31caa8350f2b

Observation efc28b23-128b-4a5d-ab29-579b33c1cc00 · inbound

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation cites this paper.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Improving Passage Retrieval with Zero-Shot Question Generation

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:24.183318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:24.183318Z digest=sha256:d5dee7a393f5bc94d8ab4b28fbe9288a8f773f8cd8a9abe65573bd6d859a529f

Observation df95bbe0-19a8-4339-a387-142647be3a9f · inbound

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning cites this paper.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Improving Passage Retrieval with Zero-Shot Question Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:13.912679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:13.912679Z digest=sha256:61e2180355c6fd0e9414b68de46a58d45dea41d7e32e29f48448b398ffc8ec46

Observation ac4c30c2-d26e-4adb-ac30-997cc537f5ec · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Improving Passage Retrieval with Zero-Shot Question Generation

Reference 150

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:52:16.354453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:91e42df837818761833839ea4d63083aaf73590e7543010375a3c4089e9083f2

Observation f71f28c1-f1a6-4e61-ab41-3cdce5021d4b · inbound

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models cites this paper.

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models Improving Passage Retrieval with Zero-Shot Question Generation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T17:15:15.356287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:15:15.356287Z digest=sha256:cd3d1580745f1a59badaf0a57ea333c1dd7da0d9d8eaed650839d2a7aebda56b

Observation eb041e6c-1338-45b7-b2e4-adab35deed04 · inbound

Access Paths for Efficient Ordering with Large Language Models cites this paper.

Access Paths for Efficient Ordering with Large Language Models Improving Passage Retrieval with Zero-Shot Question Generation

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:34:24.168951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T22:32:23.352584Z digest=sha256:e0dea04bd014789bae14eefbbb7dde0bcab32f836241a2f38a6e0dd54e19cf48

Observation 51e6f7f8-93ac-48a4-b627-baad6d38a8fd · inbound

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking cites this paper.

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking Improving Passage Retrieval with Zero-Shot Question Generation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:27:51.788277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T08:26:02.605596Z digest=sha256:ec74eb58f618fab66adca3b1e7b71d0dbe516d4bdeed14ecaf534a4e16dd3827