Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2510.10419.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T20:50:16.765453Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T23:19:03.261124Z
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 67b72018-1cb6-4064-ba8f-d6876e334170 · inbound
Generative Retrieval Overcomes Limitations of Dense Retrieval but Struggles with Identifier Ambiguity cites this paper.
Generative Retrieval Overcomes Limitations of Dense Retrieval but Struggles with Identifier Ambiguity ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T23:35:49.791613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1c4799b9-68b5-435e-b68c-cc0e8081fcbd · inbound
Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce cites this paper.
Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T20:17:21.264734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f0b3b91f-56c3-48fb-8bc1-9aa416e7c8af · inbound
Understanding and Debugging Failures in N-Gram-Based Generative Retrieval cites this paper.
Understanding and Debugging Failures in N-Gram-Based Generative Retrieval ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:19:03.263247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.