Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T02:27:18.261984Z
Paper Citation Record · LEDGER
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control
As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2604.19021.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact12
- verified fuzzy20
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8ea14454-7621-4126-af90-15c4523a0a7b · outbound
This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Transformers are rnns: Fast autoregressive transformers with linear attention
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.766652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c745e8b8-9f45-4069-88a3-617a16572d82 · outbound
This paper cites Transformer quality in linear time.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Transformer quality in linear time
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.754507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dc5087b8-2a5a-4810-a04b-a6a4ed4bfecc · outbound
This paper cites Rwkv: Reinventing rnns for the transformer era.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Rwkv: Reinventing rnns for the transformer era
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.770027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 87bbe76d-d2a6-4505-bfde-ade1a7301feb · outbound
This paper cites Gated Delta Networks: Improving Mamba2 with Delta Rule.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Gated Delta Networks: Improving Mamba2 with Delta Rule
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T14:50:25.025022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0e0cea90-2d2f-46be-9694-48793e4e24fb · outbound
This paper cites Linear transformers are secretly fast weight programmers.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Linear transformers are secretly fast weight programmers
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.763002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 811af1a8-cdde-4aec-99fa-62ae08ba94d0 · outbound
This paper cites Parallelizing linear transformers with the delta rule over sequence length.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Parallelizing linear transformers with the delta rule over sequence length
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.758582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 76f951d7-fc78-4c20-9479-228a944b891d · outbound
This paper cites Kimi linear: An expressive, efficient attention architecture.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Kimi linear: An expressive, efficient attention architecture
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.751153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d4cde790-a8cb-4775-b696-86aa97b6e8bb · outbound
This paper cites Adaptive subgradient methods for online learning and stochastic optimization.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Adaptive subgradient methods for online learning and stochastic optimization
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.734336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 564262b6-094e-498f-bacb-92055af0d568 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Adam: A Method for Stochastic Optimization
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:01:23.367359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fe0b1921-d82c-42c9-b5a2-93d6e4cee23d · outbound
This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Efficiently Modeling Long Sequences with Structured State Spaces
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:01:23.670353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5807106b-8afa-4e7d-a7cf-58f051780a14 · outbound
This paper cites Fla: A triton-based library for hardware-efficient implementations of linear attention mechanism.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Fla: A triton-based library for hardware-efficient implementations of linear attention mechanism
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.737907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 54cfac32-891f-48f3-bc20-19939cad4138 · outbound
This paper cites Learning to control fast-weight memories: An alternative to dynamic recurrent networks.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Learning to control fast-weight memories: An alternative to dynamic recurrent networks
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.743521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 87cfa64c-1d2c-44d0-9223-3b51daa599bb · outbound
This paper cites Going beyond linear transformers with recurrent fast weight programmers.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Going beyond linear transformers with recurrent fast weight programmers
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.749872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0ec1b1a2-81fc-4f15-8c87-610dd337a123 · outbound
This paper cites RWKV-7 "Goose" with Expressive Dynamic State Evolution.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control RWKV-7 "Goose" with Expressive Dynamic State Evolution
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:01:23.180001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ed0fc801-c961-40d4-aca0-15c788a43e01 · outbound
This paper cites The wy representation for products of householder matrices.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control The wy representation for products of householder matrices
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.716400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0af7b8bb-3024-41c4-bd93-9601216196af · outbound
This paper cites Accumulating householder transformations, revisited.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Accumulating householder transformations, revisited
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.720161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f3dcb24d-6c0a-4b8a-9f26-1baa9fbb644e · outbound
This paper cites Mamba: Linear-time sequence modeling with selective state spaces.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Mamba: Linear-time sequence modeling with selective state spaces
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.727548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation da5dfcf5-2e7b-4893-9a1a-46671347215d · outbound
This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:01:23.916858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b9d1bf0-1109-4608-8ff3-833fe53f1e97 · outbound
This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control The LAMBADA dataset: Word prediction requiring a broad discourse context
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.740421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cf546afa-e06e-4c26-8e38-54f59ccdf47c · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:01:23.811349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b6632641-cf2f-4c8d-ad29-61d526af13a7 · outbound
This paper cites BoolQ: Exploring the surprising difficulty of natural yes/no questions.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control BoolQ: Exploring the surprising difficulty of natural yes/no questions
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.742641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18b2d571-4c39-42da-be3b-9b300c4830f4 · outbound
This paper cites HellaSwag: Can a machine really finish your sentence?.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control HellaSwag: Can a machine really finish your sentence?
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.747139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 80c7bd94-4dbe-4b9d-9ab9-f35eb520b2e7 · outbound
This paper cites PIQA: Reasoning about physical intuition in natural language.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control PIQA: Reasoning about physical intuition in natural language
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.744823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8c9a118-02cd-48f3-ac96-4ec7df5ef6bc · outbound
This paper cites WinoGrande: An adversarial Winograd schema challenge at scale.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control WinoGrande: An adversarial Winograd schema challenge at scale
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.752994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3b303e5e-d194-4906-a476-032d21c63f00 · outbound
This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control RULER: What's the Real Context Size of Your Long-Context Language Models?
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:01:23.288038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 46cbf1fd-1386-4642-8875-4e5685d3f119 · outbound
This paper cites Rethinking Attention with Performers.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Rethinking Attention with Performers
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:16:14.972905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 448410a7-c0ec-485b-a8e4-a96a3075d911 · outbound
This paper cites Retentive Network: A Successor to Transformer for Large Language Models.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Retentive Network: A Successor to Transformer for Large Language Models
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:30:00.053340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 19d6ad81-47d2-4623-9684-55ac52ea6447 · outbound
This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:01:23.515005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cf2f1849-2c3e-4e0e-a796-2a9dd2433c8b · outbound
This paper cites Gated linear attention transformers with hardware- efficient training.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Gated linear attention transformers with hardware- efficient training
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.748397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f09d6923-58ed-4883-a640-16d130ffb17e · outbound
This paper cites HGRN2: Gated Linear RNNs with State Expansion.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control HGRN2: Gated Linear RNNs with State Expansion
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:01:23.745730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 591e3433-486f-4548-99f9-f17c28331177 · outbound
This paper cites Adaptive switching circuits.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Adaptive switching circuits
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T22:05:12.745726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 42cdd547-8589-4323-a1b5-651916b687c2 · outbound
This paper cites Longhorn: State Space Models are Amortized Online Learners.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Longhorn: State Space Models are Amortized Online Learners
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T13:01:24.085978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9f525885-49f4-438b-a55f-a3e41c343a0e · outbound
This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.
FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Jamba: A Hybrid Transformer-Mamba Language Model
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T14:11:27.316872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.