Paper Citation Record · LEDGER

Adaptively Sparse Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1909.00015.

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

pith.paper-citation-record.v1
1909.00015 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:03:19.293695Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:36:40.317299Z

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 8ec682b9-2a6c-40ed-9169-1d83cafcac1e · inbound

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity cites this paper.

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity Adaptively Sparse Transformers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:57:11.023807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e59fa68-41b9-4f6d-ac3a-5e8ff7e211ca · inbound

ST-MoE: Designing Stable and Transferable Sparse Expert Models cites this paper.

ST-MoE: Designing Stable and Transferable Sparse Expert Models Adaptively Sparse Transformers

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:14:25.533024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b51158a-eab4-49a0-af97-38af511e8266 · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory Adaptively Sparse Transformers

Reference 164

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:03:58.173472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ed08cd9-9e48-4ab4-a16c-a33e2b3f3383 · inbound

DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration cites this paper.

DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration Adaptively Sparse Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:19.293695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22f39f39-5730-49dd-a998-0ad8983e8af4 · inbound

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification cites this paper.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Adaptively Sparse Transformers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T11:59:21.675803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff1c2ad-16a0-49b6-abd0-7930fa074cac · inbound

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models cites this paper.

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models Adaptively Sparse Transformers

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:36:56.303197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a15c7be-3b44-49cc-aa94-047d17613580 · inbound

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models cites this paper.

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models Adaptively Sparse Transformers

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T00:02:58.908479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf6d4a0-cacb-450f-a7da-d69b4075ed47 · inbound

Selectivity and Shape in the Design of Forward-Forward Goodness Functions cites this paper.

Selectivity and Shape in the Design of Forward-Forward Goodness Functions Adaptively Sparse Transformers

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:03:03.231044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dbbcefab-257d-4151-9b35-fc0a97756410 · inbound

A Novel Graph-Regulated Disentangling Mamba Model with Sparse Tokens for Enhanced Tree Species Classification from MODIS Time Series cites this paper.

A Novel Graph-Regulated Disentangling Mamba Model with Sparse Tokens for Enhanced Tree Species Classification from MODIS Time Series Adaptively Sparse Transformers

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:26:10.368901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfea2b31-8236-412f-93a4-86fd66ad015a · inbound

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models cites this paper.

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models Adaptively Sparse Transformers

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:21:18.829635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 779f4bc9-944a-41fe-97b2-3bf38b367ed2 · inbound

Steered Generation via Gradient-Based Optimization on Sparse Query Features cites this paper.

Steered Generation via Gradient-Based Optimization on Sparse Query Features Adaptively Sparse Transformers

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:40.319483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.