Paper Citation Record · LEDGER

Mechanistic Design and Scaling of Hybrid Architectures

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:54:46.236855Z

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-10T06:31:04.303077+00:00.

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: verified exact; 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 2026-08-10T06:31:04.303077+00:00.

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.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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.

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.

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.