Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Optimal Memorization Capacity of Transformers
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.17677.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:03.924459Z
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 409d94a8-22d8-4d78-9c5a-2bd98edf3463 · inbound
Understanding Factual Recall in Transformers via Associative Memories cites this paper.
Understanding Factual Recall in Transformers via Associative Memories On the Optimal Memorization Capacity of Transformers
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:41:31.789000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f00dc10-d926-4b7b-96cf-88f2ff87a5bf · inbound
Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective cites this paper.
Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective On the Optimal Memorization Capacity of Transformers
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:19:03.924459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea2009c0-44ee-47e0-b72b-37f6bbe1b1bf · inbound
Attention Mechanism, Max-Affine Partition, and Universal Approximation cites this paper.
Attention Mechanism, Max-Affine Partition, and Universal Approximation On the Optimal Memorization Capacity of Transformers
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:49:39.611166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-16T06:30:59.297886+00:00.
Observation a5486e6a-889c-40d6-a020-6c4e994bbefd · inbound
Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data cites this paper.
Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data On the Optimal Memorization Capacity of Transformers
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:51:54.892242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.