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Paper Citation Record · LEDGER

Improving Passage Retrieval with Zero-Shot Question Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 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 2026-08-07T14:07:13.912679Z

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 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=sha256:00f22ca7d6605a97d3b740ce675bb1dd46be16741950e4e3ea12d965f966bd27

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:944978fe1effdbb9ce34c73c8276b6d0655a5e9eaf6cf7c275b751e9d5ac8c75

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=sha256:4ea51050f317540111e3a902933cbff9472b8f87d54d9683fec7b43594fd239d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T22:32:23.352584Z digest=sha256:87e083122114efe7434663d2cddcfd8a65a75a33cff993a786e064e8c555c72e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T08:26:02.605596Z digest=sha256:a11e05d30f410e4bd41608cc2c2909a8caa1bc01dca7b131b00d27eb99a2270f