Paper Citation Record · LEDGER

RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2402.18510.

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

pith.paper-citation-record.v1
2402.18510 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:08:41.006808Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:44.296965Z

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 a517fd89-f493-4e04-8813-7229279dcb12 · inbound

Theoretical limitations of multi-layer Transformer cites this paper.

Theoretical limitations of multi-layer Transformer RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T23:08:41.006808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f85410b-d17b-454a-b531-445da45ac2df · inbound

HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling cites this paper.

HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:43.866446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15264af3-557b-4134-b0e0-a07671cd254f · inbound

ATLAS: Learning to Optimally Memorize the Context at Test Time cites this paper.

ATLAS: Learning to Optimally Memorize the Context at Test Time RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:21.680275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 112820a6-1af5-4b86-abbb-b46d0facda22 · inbound

SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports cites this paper.

SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:33.477637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff6f128c-990d-4ac4-9183-51cb3ae78c2d · inbound

Transformers Meet In-Context Learning: A Universal Approximation Theory cites this paper.

Transformers Meet In-Context Learning: A Universal Approximation Theory RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T10:33:42.715105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f9d360-14d7-446f-9f44-440f5a45625a · inbound

Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.

Kimi Linear: An Expressive, Efficient Attention Architecture RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:49:10.875943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f8d687bc-a3ce-47d4-ad52-4884142b9fc0 · inbound

Controllably Efficient Language Models cites this paper.

Controllably Efficient Language Models RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:01.985027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 266c4184-f2bf-4e34-803d-b8787498d5f2 · inbound

MemoAct: Atkinson-Shiffrin-Inspired Hierarchical Memory-Augmented Policy for Robotic Manipulation cites this paper.

MemoAct: Atkinson-Shiffrin-Inspired Hierarchical Memory-Augmented Policy for Robotic Manipulation RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T05:46:49.039749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22743032-aca1-4fb4-8ab7-4365b574de4b · inbound

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention cites this paper.

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:41:12.031207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 078f8a98-665b-4ea6-94d4-91229a475bdf · inbound

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention cites this paper.

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:09:23.202619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6248c70-6cae-4781-9963-179d45a87fbf · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 123

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.298146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce02fde9-9344-406a-81d9-9fd55414709f · inbound

Raven: High-Recall Sequence Modeling with Sparse Memory Routing cites this paper.

Raven: High-Recall Sequence Modeling with Sparse Memory Routing RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T02:44:01.793280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.