Paper Citation Record · LEDGER

Parallelizing Linear Transformers with the Delta Rule over Sequence Length

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 49 inbound Pith citation observations for arXiv:2406.06484.

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

pith.paper-citation-record.v1
2406.06484 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:10.512458Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:44.246124Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 45cbfaf9-f7d9-45b4-8537-f62bbf4cdf09 · inbound

Learning to (Learn at Test Time): RNNs with Expressive Hidden States cites this paper.

Learning to (Learn at Test Time): RNNs with Expressive Hidden States Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:20:12.362233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13209097-82c5-4c4e-a91b-74485a254335 · inbound

Hymba: A Hybrid-head Architecture for Small Language Models cites this paper.

Hymba: A Hybrid-head Architecture for Small Language Models Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T16:20:32.778566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation accee5e9-2e69-431e-93ac-973ffd14c656 · inbound

STAR: Synthesis of Tailored Architectures cites this paper.

STAR: Synthesis of Tailored Architectures Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T11:57:07.732680Z

Source-reported events for the cited work

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Observation 4ba87f36-9fb3-4c98-b0dc-8822888cfb0e · 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 Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T22:52:33.642183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f79ae86-8ea2-4af2-9727-a4324d7a8c57 · inbound

Test-time regression: a unifying framework for designing sequence models with associative memory cites this paper.

Test-time regression: a unifying framework for designing sequence models with associative memory Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T17:22:07.382165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe699a78-8f89-4648-b91c-69a777607587 · inbound

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer cites this paper.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.325861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2b0d8cd-b9c5-450a-8bba-bde9b09a046c · inbound

LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid cites this paper.

LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:42.751276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4861c86-2a08-49fc-a7d7-aec6e08425eb · inbound

An Uncertainty Principle for Linear Recurrent Neural Networks cites this paper.

An Uncertainty Principle for Linear Recurrent Neural Networks Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T22:10:15.942223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ec81779-3758-4fce-8c0d-3256b2e0dd59 · inbound

Solving Empirical Bayes via Transformers cites this paper.

Solving Empirical Bayes via Transformers Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T20:21:58.415098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e964ecb8-825c-4776-aa29-f0fd5d6f7ef1 · inbound

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN cites this paper.

Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:10.512458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 362368b0-844d-49ac-a7cc-11f3c5848b16 · inbound

Quantifying Memory Utilization with Effective State-Size cites this paper.

Quantifying Memory Utilization with Effective State-Size Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:23.957318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b68779-e52a-497a-a9fd-11601444a6b7 · inbound

RWKV-X: A Linear Complexity Hybrid Language Model cites this paper.

RWKV-X: A Linear Complexity Hybrid Language Model Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:28.263637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f01554-4540-4ce8-be3f-b9fbe424a5b2 · inbound

ModRWKV: Transformer Multimodality in Linear Time cites this paper.

ModRWKV: Transformer Multimodality in Linear Time Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:36.402647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c654cb-d479-431e-b9f7-197bf653f528 · inbound

Understanding Transformer from the Perspective of Associative Memory cites this paper.

Understanding Transformer from the Perspective of Associative Memory Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:54.017185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b43d5e-128a-4cf9-b784-405c7b5b86e2 · inbound

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

HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:43.404040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 232cce74-e538-4a71-8cb9-6ad92e78a480 · inbound

Scaling Reasoning without Attention cites this paper.

Scaling Reasoning without Attention Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:28.091568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62fd2402-dff1-48e8-b4f3-c9e6fdceaf46 · inbound

Test-Time Training Done Right cites this paper.

Test-Time Training Done Right Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T11:25:45.215790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83eca67f-71cf-45bc-b181-ec21efb3df9d · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:35.156790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba368b4c-83f6-4f2c-9b86-76d1891b91af · inbound

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning cites this paper.

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T05:06:32.732274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97f09e7b-fda8-42f7-ab1c-af5db940abdd · inbound

pLSTM: parallelizable Linear Source Transition Mark networks cites this paper.

pLSTM: parallelizable Linear Source Transition Mark networks Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T01:09:03.309496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e1eccb2-dc13-48c8-b255-08e6364afbe2 · inbound

TPTT: Transforming Pretrained Transformers into Titans cites this paper.

TPTT: Transforming Pretrained Transformers into Titans Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:48.547568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f220fa-a809-4837-a241-12a35269490b · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:32.936567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee28e176-b6bb-474f-99d9-ece68a615858 · inbound

Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks cites this paper.

Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T17:59:44.828208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7501579-84d1-44ef-9bf6-57230956cc11 · inbound

Elucidating the Design Space of Decay in Linear Attention cites this paper.

Elucidating the Design Space of Decay in Linear Attention Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T05:29:21.681430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7356987f-d11c-4a9d-b54c-fcb96e8ae67a · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 161

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:26.022787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7c4f8b-9510-468a-90ef-3938ee3967c0 · inbound

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism cites this paper.

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:05:48.075690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2ff72c95-29fb-42f6-bd33-9d57a928ab5a · inbound

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

Kimi Linear: An Expressive, Efficient Attention Architecture Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 115

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T23:49:10.947759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 89921422-127d-466e-a755-21bce9b43d24 · inbound

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers cites this paper.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:11.959356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ea9905-e22c-49f2-91f1-fd79b33813c1 · inbound

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers cites this paper.

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T15:22:55.477441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d74fb44-14e2-4840-82e4-fa5e16a48c4a · inbound

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training cites this paper.

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:26:17.502452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6056f5d8-f335-4de9-8225-71322553850c · inbound

Phase-Associative Memory: Sequence Modeling in Complex Hilbert Space cites this paper.

Phase-Associative Memory: Sequence Modeling in Complex Hilbert Space Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:48.610341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5767fc1c-ee17-4eb9-94b1-5624f8e8337b · inbound

In-Place Test-Time Training cites this paper.

In-Place Test-Time Training Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:49.017551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cefb2429-bd4c-4845-84e1-d1a29bca075d · inbound

COREY: Entropy-Guided Runtime Chunk Scheduling for Selective Scan Kernels cites this paper.

COREY: Entropy-Guided Runtime Chunk Scheduling for Selective Scan Kernels Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:06:03.419188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13e9f8fe-4a18-4c48-a4d5-589d3698fa85 · inbound

Adaptive Memory Decay for Log-Linear Attention cites this paper.

Adaptive Memory Decay for Log-Linear Attention Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:50:56.408116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92437f3f-a79a-45a7-b2b5-9048abe9d5a1 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:59:28.639301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5f2fda31-0cc1-4eb1-b180-e08fd22bd39b · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:59:45.229904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation acf0bbbd-8876-4b89-8c2b-64d76c440ad0 · inbound

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

Towards Understanding Self-Pretraining for Sequence Classification Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:33:58.947730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b38ad3b-883b-47a6-9e75-d3ab1ffdac2c · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 140

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:26:56.635118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0bc8bce5-eb20-43ed-907b-64dc34790fea · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 137

Resolution: unresolved; no resolver link, observed 2026-08-02T12:20:56.082616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae2b1780-dc47-47ba-b973-84e95c2a6006 · inbound

Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling cites this paper.

Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:08.659060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b240309e-de36-4b54-a789-cbaff4debd74 · inbound

Q-Delta: Beyond Key-Value Associative State Evolution cites this paper.

Q-Delta: Beyond Key-Value Associative State Evolution Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 91

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:07:26.542463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19a33f76-fce7-4f0f-a010-4f98ee69db51 · inbound

UltraQuant: 4-bit KV Caching for Context-Heavy Agents cites this paper.

UltraQuant: 4-bit KV Caching for Context-Heavy Agents Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:39:30.395444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ca11e76-f7f5-48d7-b5e9-c377b9e88a02 · inbound

ELiTeFormer: An Efficient Transformer for FPGAs cites this paper.

ELiTeFormer: An Efficient Transformer for FPGAs Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-12T00:55:09.690245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c01be1-5d43-46ce-bc59-8222c393ed08 · 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 Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 114

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:46:14.646570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4301c229-8a9b-405e-b51f-8591ae6b2b84 · 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 Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 140

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.247325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9568a843-40ac-4db2-9004-f5155f3a2d5b · 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 Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T09:06:11.171935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb0e7d7-7f23-40be-a02f-8603824b40bc · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:43:51.979801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47293eaf-457b-4b0a-be73-ed5dfe5943e0 · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:11:48.805634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3aaf0d1-f238-4df8-91f5-fb2fa7daa421 · inbound

A Contract-Grade Verifier for LLM-Generated GPU Kernels, and a Native Blackwell Backward for the Gated-Linear-Recurrence Family cites this paper.

A Contract-Grade Verifier for LLM-Generated GPU Kernels, and a Native Blackwell Backward for the Gated-Linear-Recurrence Family Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:24:07.366253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.