Paper Citation Record · LEDGER

Large Memory Layers with Product Keys

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1907.05242.

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

pith.paper-citation-record.v1
1907.05242 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:41:21.309541Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T12:46:14.651177Z

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 a71cf3da-5ca0-4da7-b52f-c5cc2ea62fdf · inbound

CTRL: A Conditional Transformer Language Model for Controllable Generation cites this paper.

CTRL: A Conditional Transformer Language Model for Controllable Generation Large Memory Layers with Product Keys

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T06:14:02.625560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 644621a4-f508-4b4d-a43a-cc12ee79f7fb · inbound

Compressive Transformers for Long-Range Sequence Modelling cites this paper.

Compressive Transformers for Long-Range Sequence Modelling Large Memory Layers with Product Keys

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:46:16.647894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da0ae785-abda-4f63-bbf1-0382038b1e15 · inbound

Reformer: The Efficient Transformer cites this paper.

Reformer: The Efficient Transformer Large Memory Layers with Product Keys

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:03.236360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd988cdb-6b0e-45fd-9bcf-08ccd2c47440 · inbound

Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.

Do Value Vectors in Deep Layers Need Context from the Residual Stream? Large Memory Layers with Product Keys

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:16:23.422503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 336c730e-5808-410c-bc2b-d51f2534f8d1 · inbound

Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.

Do Value Vectors in Deep Layers Need Context from the Residual Stream? Large Memory Layers with Product Keys

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T12:41:21.309541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4576ee3-db44-4117-b581-65a1dafb7c37 · inbound

Sparsely gated tiny linear experts cites this paper.

Sparsely gated tiny linear experts Large Memory Layers with Product Keys

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:17:09.301810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d5446d1-674f-4e69-9153-9303af78bb5b · inbound

Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity cites this paper.

Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity Large Memory Layers with Product Keys

Reference 99

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.653548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35162da6-2bab-4646-b1b4-0ef5f375c81c · inbound

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention cites this paper.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Large Memory Layers with Product Keys

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.