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Paper Citation Record · LEDGER

On the Optimal Memorization Capacity of Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.17677.

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

pith.paper-citation-record.v1
2409.17677 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:01.197868Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:35:42.819945Z

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 2db79da7-9150-4c5c-b483-19a604299ca4 · inbound

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions cites this paper.

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions On the Optimal Memorization Capacity of Transformers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:01.197868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:21:01.197868Z digest=sha256:56a6718faf0bc0519b8f716ddf54852950318ec40842f3132738b0f1b2bba2ad

Observation 57a91301-62c9-43b8-ba0c-090f8a0ee84c · inbound

How much do language models memorize? cites this paper.

How much do language models memorize? On the Optimal Memorization Capacity of Transformers

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:35:42.897476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:35:38.719389Z digest=sha256:626f4a5ebea015c3afa3cd04d52c6e0f91273c9f5fc59bfb10c53d103db5147b