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Paper Citation Record · LEDGER

Large Language Models are Strong Zero-Shot Retriever

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.14233.

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

pith.paper-citation-record.v1
2304.14233 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:33.901661Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:10:04.891946Z

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 905852e4-9752-405d-9462-9322aca06120 · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models Large Language Models are Strong Zero-Shot Retriever

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:31:11.705033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-17T23:31:11.213552Z digest=sha256:d4fe25b6918af2b9fa2e7521c9c682027dc0a36628d428e0351e6cdcfa34547b

Observation 0d73d76e-2742-4d23-967f-7d90ae614c00 · inbound

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation cites this paper.

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation Large Language Models are Strong Zero-Shot Retriever

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:33.901661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:33.901661Z digest=sha256:32a07015d538fd4e33bd14e1defdb8d739acf8b2531b5feecda8ef42f075b5ab

Observation c3a3afab-6157-4df0-936a-127ad06689a6 · inbound

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey cites this paper.

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey Large Language Models are Strong Zero-Shot Retriever

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:11:43.125384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T18:07:33.612858Z digest=sha256:65df4ccf9d197ce602e2a5d8efc7aae04e7c3f751235f2f57737aa2c3001e428

Observation 5a678977-f83a-408c-a190-b71a357e8a59 · inbound

A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining cites this paper.

A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining Large Language Models are Strong Zero-Shot Retriever

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T12:59:01.716044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:59:01.716044Z digest=sha256:5a36746944c6563de01a00814bfd8f124f90eac6c4ee05232c7fd6e1b313dc0d

Observation b02c43f7-fb71-458d-aa93-70bc605ea6d6 · inbound

Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval cites this paper.

Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval Large Language Models are Strong Zero-Shot Retriever

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:10:04.893703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T21:46:51.015294Z digest=sha256:c1d5edfdf61207d70de524927a7c635c247aec2e385cee90b753593f6e2cbad7

Observation 59e7779e-9788-47de-83c5-9d4a00194701 · inbound

Semantically Similar, Logically Distinct: Diagnosing the Semantic-Answerability Gap in Table RAG cites this paper.

Semantically Similar, Logically Distinct: Diagnosing the Semantic-Answerability Gap in Table RAG Large Language Models are Strong Zero-Shot Retriever

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T17:09:43.745239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:09:43.745239Z digest=sha256:21bc2af76a5bb827e43319e7b2e75861ccad5771960a548b2ea57ce7f7db74f9