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Paper Citation Record · LEDGER

How GPT learns layer by layer

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.07108.

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

pith.paper-citation-record.v1
2501.07108 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:40:37.639598Z

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

0
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 01533202-e92c-4774-9313-1cfca8857501 · inbound

RCStat: A Statistical Framework for using Relative Contextualization in Transformers cites this paper.

RCStat: A Statistical Framework for using Relative Contextualization in Transformers How GPT learns layer by layer

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:37.639598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:37.639598Z digest=sha256:3368c51e6f98b497273fe355391f4f0b3a3112e840b6a64263244a7d36110807

Observation ccb1228a-c9f1-4314-a1a3-2bf568a2003d · inbound

Make Your LVLM KV Cache More Lightweight cites this paper.

Make Your LVLM KV Cache More Lightweight How GPT learns layer by layer

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-09T19:05:10.276169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-09T19:04:48.058450Z digest=sha256:cd1915719da9c53ef4cd5f46e9f24522b66820512c3b1034d4247fcda7d09a0e