Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.00402.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:02:38.627939Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T03:55:20.585372Z
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 adbdbc9b-9d39-4a1b-a17d-3da4800870bc · inbound
RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.
RULER: What's the Real Context Size of Your Long-Context Language Models? Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:55:20.587514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f7cbef17-dec1-4b55-b70c-7db2756b1bc5 · inbound
DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues cites this paper.
DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:02:38.627939Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.