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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 4 inbound Pith citation observations for arXiv:2407.18158.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.18158 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:22.229148Z

measured 0 of 1 external citation measurements

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 1c01941a-7b69-47d8-96ff-13dc202e805d · inbound

Compute-Optimal LLMs Provably Generalize Better With Scale cites this paper.

Compute-Optimal LLMs Provably Generalize Better With Scale Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T11:38:22.229148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:38:22.229148Z digest=sha256:21461b87ca580c24d5f2f188e86ae388097f5539d8702991c011cb429913a5d9

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.

source=pdf_text observed=2026-08-06T15:37:52.619159Z digest=sha256:7690a336b193a57218c22da3491f4943ea27fdc097ce60a471bffd2f6bfdba92

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.

source=arxiv_source observed=2026-08-04T21:33:57.675730Z digest=sha256:ed12644bd18872ce798e6dd8cf5c5af594f99285ae745b97e1032a0bb6973f3c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T10:21:11.725387Z digest=sha256:571c6c8cc5ad4d43d85bcdbb640f541b3da97aa3361310eeed676a8e1af7279d