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Paper Citation Record · LEDGER

Mechanistic Design and Scaling of Hybrid Architectures

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2403.17844.

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

pith.paper-citation-record.v1
2403.17844 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:52:33.557438Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:03.331686Z

Reference resolution

0 of 0 outbound references displayed

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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 3313a84a-12f0-41a4-9f60-523c149c119c · inbound

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing cites this paper.

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing Mechanistic Design and Scaling of Hybrid Architectures

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:33.557438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:33.557438Z digest=sha256:a35e9d3fd6a595d5ab090f78d2cdc6196fede6147255a71cbef0ed0d3e0b3dcd

Observation e8da9ce5-fdaa-4e99-b6d1-9d7274b97254 · inbound

Sparsified State-Space Models are Efficient Highway Networks cites this paper.

Sparsified State-Space Models are Efficient Highway Networks Mechanistic Design and Scaling of Hybrid Architectures

Reference 18

Resolution
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no resolver link, observed 2026-08-07T13:54:46.236855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:54:46.236855Z digest=sha256:a59031917d9bc8a059873d4c016781c4de9559bafe01b9ba4c93fb8fcc2aee25

Observation a74b312b-ed80-467d-89fe-9b54d11ce7f4 · inbound

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

ATLAS: Learning to Optimally Memorize the Context at Test Time Mechanistic Design and Scaling of Hybrid Architectures

Reference 61

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no resolver link, observed 2026-08-07T12:44:20.173527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:20.173527Z digest=sha256:3cda010290ea16227da2010b686185810e43f0a0900c3f8d0e0153f58ddbfe91

Observation 7dcd428a-9b5d-4e5f-987c-30bbdeab8320 · inbound

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer cites this paper.

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer Mechanistic Design and Scaling of Hybrid Architectures

Reference 42

Resolution
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no resolver link, observed 2026-08-07T11:57:22.798604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:22.798604Z digest=sha256:dc80ae78ae4723d9f42f928df209950aa62c3c6c0ca63eb5ec1745790b1fe03b

Observation 73430180-c280-477c-9544-f9178ffc6258 · inbound

Exploring Diffusion Transformer Designs via Grafting cites this paper.

Exploring Diffusion Transformer Designs via Grafting Mechanistic Design and Scaling of Hybrid Architectures

Reference 23

Resolution
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no resolver link, observed 2026-08-07T10:29:01.949157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:01.949157Z digest=sha256:b15d38f3a513cf473d5b4faf2b808059b5e1f6b210dd3024b4420b77d4afcab5

Observation 48a10f9b-448a-4c6d-82c7-12e7cd215ed9 · inbound

Interaction as Intelligence: Deep Research With Human-AI Partnership cites this paper.

Interaction as Intelligence: Deep Research With Human-AI Partnership Mechanistic Design and Scaling of Hybrid Architectures

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:41.137417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:30:41.137417Z digest=sha256:094a0b9a37ed9e70064c398f9aab76af61a89928fbaa9c3ae85bbf90871ab6d7

Observation 96e16176-05a6-49f6-a8b7-26946e10b506 · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution Mechanistic Design and Scaling of Hybrid Architectures

Reference 189

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:58:58.965459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T13:58:58.627748Z digest=sha256:b3f38cfa952cc967cf627aa0fb2afc3e9d58a70de7f2faa2251955cc9069c78f

Observation ae9bb37e-4d30-4110-a650-cb971dc5ac54 · inbound

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

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights Mechanistic Design and Scaling of Hybrid Architectures

Reference 40

Resolution
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arxiv_id, observed 2026-05-18T10:21:14.980894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T10:18:04.431436Z digest=sha256:be827b2f0486db784ed603e7f578d68a88687c831651c66e3a8aff47c74a9a09

Observation cac9283b-b3a5-4e0a-9411-0f24fcb3eceb · inbound

AutoNeural: Co-Designing Vision-Language Models for NPU Inference cites this paper.

AutoNeural: Co-Designing Vision-Language Models for NPU Inference Mechanistic Design and Scaling of Hybrid Architectures

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T18:57:01.034847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:57:01.034847Z digest=sha256:32155d50bf3fc5c3642434f601e35b97b2ff1bb3981dc6b40f5426f6c799d8bc

Observation fbdbb1ba-cadf-4de1-a0b5-f3f3bd6c33b9 · inbound

ZAYA1-8B Technical Report cites this paper.

ZAYA1-8B Technical Report Mechanistic Design and Scaling of Hybrid Architectures

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:26:05.016459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-08T17:36:37.182196Z digest=sha256:393ebee43bf761cf36495240c0da6d700b86f95a296cfbef1ec020ca70013332

Observation fabed174-1d0e-4981-a6ba-7872533ea0cb · inbound

RubiConv -- Efficient Boundary-Respecting Convolutions cites this paper.

RubiConv -- Efficient Boundary-Respecting Convolutions Mechanistic Design and Scaling of Hybrid Architectures

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:51:37.108392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c810f1db-39e4-40bd-9891-40ba72298ee7 · inbound

Flash PD-SSM: Memory-Optimized Structured Sparse State-Space Models cites this paper.

Flash PD-SSM: Memory-Optimized Structured Sparse State-Space Models Mechanistic Design and Scaling of Hybrid Architectures

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:53:15.187883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T11:48:42.834602Z digest=sha256:08fa8a86eef72539309b27e187317ab6be7b2e5ab8922722ae5e55151e0ffb2b

Observation 1f45b7d1-a99c-46b0-8144-4dfd8921da1d · inbound

Towards Understanding Self-Pretraining for Sequence Classification cites this paper.

Towards Understanding Self-Pretraining for Sequence Classification Mechanistic Design and Scaling of Hybrid Architectures

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:33:58.915104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T05:29:58.809024Z digest=sha256:1a95e6731154f238ae232e178768ee529443f4a13aa979cfd9601823eb62f4cf

Observation b87ef637-fc4d-4626-85e5-f4ee0398a80e · inbound

Memory by Design: Probabilistic Sequence Layers cites this paper.

Memory by Design: Probabilistic Sequence Layers Mechanistic Design and Scaling of Hybrid Architectures

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:26:12.909347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T21:07:31.407554Z digest=sha256:d48098f60d75c96efd0e44c03a13d84a32501019e7b9b1de5147a02bdf0a4f0f

Observation 2acfcd01-d186-48cf-8e5c-f09a1b153dc1 · inbound

Dynamic Short Convolutions Improve Transformers cites this paper.

Dynamic Short Convolutions Improve Transformers Mechanistic Design and Scaling of Hybrid Architectures

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:36:27.002172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T10:48:50.103004Z digest=sha256:db0ef809aaa558036b9aa9f189e481fea5317fac9e9adb8b4336d382aa97d257

Observation e24f5058-cc72-4b07-a00a-7949185ed448 · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report Mechanistic Design and Scaling of Hybrid Architectures

Reference 223

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:39:36.832098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T14:22:37.596720Z digest=sha256:e92dfbb6666257126ce12e4a0c83c465a401e0f6508e84ae34cc5813485073ca

Observation 1026e2e3-5f86-4dca-8981-b08a2ae3cdde · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Mechanistic Design and Scaling of Hybrid Architectures

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:40:03.333214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T22:37:15.072758Z digest=sha256:3a94df0dd2814b07705c4e19c9b9945e8e558baf1f960e43a8075e186a19036e

Observation d3aed2a0-26e5-4515-b3b8-3b7810ace418 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Mechanistic Design and Scaling of Hybrid Architectures

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:15:59.115459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-29T02:07:31.791835Z digest=sha256:7b7be785710a1682c22b4d7df3b154f49de08840e998dcc3c39366f3c3fde210

Observation 22f5bb58-1172-484a-afa0-6127a783189f · inbound

The Orthogonalized Read Is a Removable Training Scaffold for Recurrent Memory cites this paper.

The Orthogonalized Read Is a Removable Training Scaffold for Recurrent Memory Mechanistic Design and Scaling of Hybrid Architectures

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T09:06:10.804749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:06:10.804749Z digest=sha256:3e233f5799815a92df0e985a2d657d2dfef58d9c3b9166f1f2bc4a46b05122f8

Observation b0335f28-a408-4142-9406-a30a6af7009b · inbound

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution cites this paper.

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution Mechanistic Design and Scaling of Hybrid Architectures

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-01T09:51:53.573881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:51:53.573881Z digest=sha256:265b6075025a32d587a64e28f89f49501be3f6f32b58187b4d8a398e31def00e

Observation 40fd6dab-2f54-4d83-8ed8-b9ffee9cfd62 · inbound

Learning What to Remember: Test-Time Training via Context Distillation cites this paper.

Learning What to Remember: Test-Time Training via Context Distillation Mechanistic Design and Scaling of Hybrid Architectures

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T23:14:09.604533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:14:09.604533Z digest=sha256:01ae00ebc4040114b610e8af42d9aecce0db26be2c0e4b721a91d93502762b5f