Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging LLMs and attention-mechanism for automatic annotation of historical maps
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.11050.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T07:06:38.146945Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a9b566a5-ee7c-4e37-92ae-3a58e6dc53d0 · inbound
Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels cites this paper.
Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels Leveraging LLMs and attention-mechanism for automatic annotation of historical maps
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:06:38.146945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ecf587b-c6d2-4bdc-b2c0-b466c10b9195 · inbound
Automatic Uncertainty-Aware Synthetic Data Bootstrapping for Historical Map Segmentation cites this paper.
Automatic Uncertainty-Aware Synthetic Data Bootstrapping for Historical Map Segmentation Leveraging LLMs and attention-mechanism for automatic annotation of historical maps
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:10:10.454955Z
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.