Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.02320.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:25:52.390640Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:36:16.275714Z
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 f311d931-6282-468b-9edd-b8921b23de3b · inbound
Large Language Models as Robust Data Generators in Software Analytics: Are We There Yet? cites this paper.
Large Language Models as Robust Data Generators in Software Analytics: Are We There Yet? Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:37:58.322505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bb05e58-4888-4be4-ab9c-c5a3f7fda3b2 · 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 Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:25:52.390640Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df761633-84d3-4754-8750-547143842fc1 · inbound
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems cites this paper.
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:36:16.374854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.