Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Investigating Efficiently Extending Transformers for Long Input Summarization
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.04347.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:15:44.981403Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T05:17:05.985738Z
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 f6924962-e928-4e73-b064-43729bd880c4 · inbound
Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator cites this paper.
Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator Investigating Efficiently Extending Transformers for Long Input Summarization
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:15:44.981403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe734b91-f69a-4301-abff-755a24a235f7 · inbound
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023 cites this paper.
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023 Investigating Efficiently Extending Transformers for Long Input Summarization
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:34:02.294290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b73fc3be-bcb5-4b7b-bd0a-ebb9ee9004a0 · inbound
Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Language diagrams cites this paper.
Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Language diagrams Investigating Efficiently Extending Transformers for Long Input Summarization
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:17:05.988743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.