Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.18158.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:37:52.619159Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T10:23:12.058516Z
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 db5f0c73-4e19-4e61-8754-4806832620f2 · inbound
Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor cites this paper.
Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:37:52.619159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a54bfe07-c46f-47e3-9bfd-17eb2eb1cf9c · inbound
Customizing the Inductive Biases of Softmax Attention using Structured Matrices cites this paper.
Customizing the Inductive Biases of Softmax Attention using Structured Matrices Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:33:57.675730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f230cf31-4390-4ee0-9e20-62c6a6a57333 · inbound
Position: A Three-Layer Probabilistic Assume-Guarantee Architecture Is Structurally Required for Safe LLM Agent Deployment cites this paper.
Position: A Three-Layer Probabilistic Assume-Guarantee Architecture Is Structurally Required for Safe LLM Agent Deployment Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:23:12.060023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.