Paper Citation Record · LEDGER

Understanding Transformers via N-gram Statistics

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.12034.

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

pith.paper-citation-record.v1
2407.12034 v2

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:54:19.071209Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ab1e3ec1-9963-45f9-ba81-a7f4da1e23a1 · inbound

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models cites this paper.

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models Understanding Transformers via N-gram Statistics

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T19:54:19.071209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df48a07b-9b12-4988-9aab-9d99c092ec3a · inbound

Selective Induction Heads: How Transformers Select Causal Structures In Context cites this paper.

Selective Induction Heads: How Transformers Select Causal Structures In Context Understanding Transformers via N-gram Statistics

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T21:11:44.057491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e881750-9a6f-4b69-8119-56b89ea1db7d · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models Understanding Transformers via N-gram Statistics

Reference 151

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:18:58.947638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44d5c17d-105e-40e4-85ba-b3eb579b4fe0 · inbound

When Are Two Networks the Same? Tensor Similarity for Mechanistic Interpretability cites this paper.

When Are Two Networks the Same? Tensor Similarity for Mechanistic Interpretability Understanding Transformers via N-gram Statistics

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:19:43.727698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.