Paper Citation Record · LEDGER

Non-Vacuous Generalization Bounds for Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.17173.

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

pith.paper-citation-record.v1
2312.17173 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:48:12.650055Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T06:09:36.800328Z

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 2edaf089-c6de-4441-868d-68936cbec5de · inbound

The Complexity Dynamics of Grokking cites this paper.

The Complexity Dynamics of Grokking Non-Vacuous Generalization Bounds for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T16:48:12.650055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99679f59-87dd-44df-8a2e-58781d7c05bb · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Non-Vacuous Generalization Bounds for Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.726372Z

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.

Observation 052b7b42-ee4b-4bf5-a008-1e91807e39d6 · 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 Non-Vacuous Generalization Bounds for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:52.442018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee85379b-e4ce-4d10-a93b-cb64929f9616 · inbound

Customizing the Inductive Biases of Softmax Attention using Structured Matrices cites this paper.

Customizing the Inductive Biases of Softmax Attention using Structured Matrices Non-Vacuous Generalization Bounds for Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T21:33:57.602425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e21adcb1-f64d-4915-85ca-e307079915a2 · inbound

Inductive Generalization for Robotic Manipulation cites this paper.

Inductive Generalization for Robotic Manipulation Non-Vacuous Generalization Bounds for Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:09:36.801845Z

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.

Observation 929249e2-8681-4210-b651-162a1e6f3426 · inbound

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards cites this paper.

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards Non-Vacuous Generalization Bounds for Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T02:01:53.955242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.