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Paper Citation Record · LEDGER

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.16332.

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

pith.paper-citation-record.v1
2406.16332 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 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:25:52.482363Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:22:44.040848Z

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 b5676335-967b-4d74-96af-36df717111e5 · inbound

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models cites this paper.

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T12:09:29.225250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:09:29.225250Z digest=sha256:de8190b88e96efc7f65dc7db3866a3a7dedfa89dcceb71b8e011db0e638d78c6

Observation 34513aea-7a9d-4be5-8e46-7d1dd6bbf8ff · inbound

QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort cites this paper.

QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T23:25:52.482363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:25:52.482363Z digest=sha256:002aa6cbc2154f7539d8543d55f20bfc65725b817b8d38fcc253f1e71bb01934

Observation 1f4eafe8-4a35-4b54-ab1e-8d26982117a4 · inbound

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation cites this paper.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.516222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.516222Z digest=sha256:67e24301fee89c300156822bed80c5fc2b8b5d663d8e52f8cc453e282a0c6075

Observation 7e561273-5a95-4a06-87df-3c3fa1be8820 · inbound

Learning to Select In-Context Demonstration Preferred by Large Language Model cites this paper.

Learning to Select In-Context Demonstration Preferred by Large Language Model DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:23.234345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:23.234345Z digest=sha256:447b3759422f8dd949634c92d0e9afe7e1f7389362cdee38ee3401bd622f5093

Observation 09885bd7-5edd-4898-a069-93c17a2ca7b4 · inbound

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models cites this paper.

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:22:44.043953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:22:43.785241Z digest=sha256:1c3404e995480217b74883b33046d4a27085b8dd7ac6f76328ba52d80c62aee1

Observation fd76e707-1f98-46eb-b16e-df91e75ddc1f · inbound

LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction cites this paper.

LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Reference 139

Resolution
unresolved
no resolver link, observed 2026-07-30T22:49:43.379925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T22:49:43.379925Z digest=sha256:5036b4df3162435e75f98e63d02cd8aa920e0a6d4aaacff9294782af1bfce840