Paper Citation Record · LEDGER

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.07839.

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

pith.paper-citation-record.v1
2404.07839 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:50:27.042281Z

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

4
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 58025f26-2c99-4100-9674-b5ee6ae1669f · inbound

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality cites this paper.

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:16:25.669754Z

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.

Observation 37d0dc69-a3d4-4e5d-9872-0e82b4644f07 · inbound

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation cites this paper.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.576138Z

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.

Observation 37707fbb-b90a-4887-a343-1203670b6af6 · inbound

Titans: Learning to Memorize at Test Time cites this paper.

Titans: Learning to Memorize at Test Time RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:08:15.142457Z

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.

Observation a2ee543f-0a7a-4f22-a6b9-554e5b6709c8 · inbound

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights cites this paper.

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T10:21:14.893505Z

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.

Observation ff1adcdf-7730-4c02-b1b1-1c0011e20be1 · inbound

Learning the Signature of Memorization in Autoregressive Language Models cites this paper.

Learning the Signature of Memorization in Autoregressive Language Models RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:53:11.460881Z

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.

Observation 8a90d796-e53b-4142-9145-615ed7564584 · inbound

The Routing and Filtering Structure of Attention cites this paper.

The Routing and Filtering Structure of Attention RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:09:07.710312Z

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.

Observation 2d64084d-0dce-4542-af75-8619b48bf7ab · inbound

Asymmetric Virtual Memory Paging for Hybrid Mamba-Transformer Inference cites this paper.

Asymmetric Virtual Memory Paging for Hybrid Mamba-Transformer Inference RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:31:14.127166Z

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.

Observation bcd7ffb8-9de4-4716-b1da-ad4bdb88175c · inbound

Forget Attention: Importance-Aware Attention Is All You Need cites this paper.

Forget Attention: Importance-Aware Attention Is All You Need RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:06:21.073589Z

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.

Observation c9413681-09ad-492d-a247-73d880957676 · inbound

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers cites this paper.

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T00:40:17.918858Z

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.

Observation 17b26bb8-e125-4569-a906-7f8756d4890b · inbound

Naju: A Native Discrete State-Space Model with Independent Retention and Writing for Long-Sequence Memory cites this paper.

Naju: A Native Discrete State-Space Model with Independent Retention and Writing for Long-Sequence Memory RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T08:50:27.042281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.