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Paper Citation Record · LEDGER

Adaptively Sparse Transformers

As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 12 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 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:10:29.950614Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:42.978885Z

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

41 of 41 outbound references displayed

  • verified exact5
  • verified fuzzy1
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14420083-c548-460f-9946-a6b73d19030b · outbound

This paper cites URL: " 'urlintro :=.

Adaptively Sparse Transformers URL: " 'urlintro :=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5170fef8-3793-45ac-827d-98fa33da629f · outbound

This paper cites write newline.

Adaptively Sparse Transformers write newline

Reference 2

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no resolver link, observed 2026-08-14T10:10:29.740743Z

Source-reported events for the cited work

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Observation 938c429d-b225-4b37-8a1d-014f8893f3e6 · outbound

This paper cites Zico Kolter.

Adaptively Sparse Transformers Zico Kolter

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3618d6ac-5064-494a-832c-bc715edbe4ba · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Adaptively Sparse Transformers Neural Machine Translation by Jointly Learning to Align and Translate

Reference 4

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Observation 2e3ff24d-c714-429c-acdf-39ee17ef3bec · outbound

This paper cites Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms.

Adaptively Sparse Transformers Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms

Reference 5

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no resolver link, observed 2026-08-14T10:10:29.757774Z

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Observation a44d5057-7e96-4249-ab7b-f58f3322d3e6 · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 59423f1d-2b6a-439b-beb4-73cf7fb4ae94 · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 67892f55-da40-49ce-a2da-6dbfcb20e7fa · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9154c70d-9e48-427f-8c57-20f55a0fdb52 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Adaptively Sparse Transformers Generating Long Sequences with Sparse Transformers

Reference 9

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Source-reported events for the cited work

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Observation 7e29da30-7097-4add-98a6-c46b8c3dc647 · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3b7bb91f-1859-457b-950d-5811219e99ef · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9b2c8367-2273-41de-aac8-8a8d315eeb0f · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Adaptively Sparse Transformers BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

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Observation ee8c0b57-c6ac-425d-8185-294b4cbbdec9 · outbound

This paper cites Convolutional Sequence to Sequence Learning.

Adaptively Sparse Transformers Convolutional Sequence to Sequence Learning

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c67c665e-4419-4d3a-a3a7-d13da2166171 · outbound

This paper cites On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization.

Adaptively Sparse Transformers On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization

Reference 14

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Source-reported events for the cited work

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Observation 1532d15d-4dfe-4ff8-8d28-684a981450da · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 15

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 139804bf-a7f7-48ec-8816-f83ea74d3638 · outbound

This paper cites Attention is not Explanation.

Adaptively Sparse Transformers Attention is not Explanation

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e587650e-a230-41e2-8296-6017590b6e21 · outbound

This paper cites Marian: Cost-effective High-Quality Neural Machine Translation in C++.

Adaptively Sparse Transformers Marian: Cost-effective High-Quality Neural Machine Translation in C++

Reference 17

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verified exact
local_arxiv, observed 2026-08-14T10:10:30.278876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 56f0e8fb-efd5-4357-a8f2-4b9d09bfc2b2 · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 797d536a-7795-42e5-bb41-fe25d0f0d483 · outbound

This paper cites Learning Sparse Neural Networks through $L_0$ Regularization.

Adaptively Sparse Transformers Learning Sparse Neural Networks through $L_0$ Regularization

Reference 19

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Observation c6b730b4-4289-42de-9f97-af3def5904fb · outbound

This paper cites Effective Approaches to Attention-based Neural Machine Translation.

Adaptively Sparse Transformers Effective Approaches to Attention-based Neural Machine Translation

Reference 20

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Observation 1fce5c2b-b52d-423c-a033-b4ef30c511cd · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 03347fed-444b-43f9-a0b4-5679f02ee592 · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c6b94423-8463-42e9-9a16-1e112dbc62aa · outbound

This paper cites From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification.

Adaptively Sparse Transformers From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification

Reference 23

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Observation 10b8b285-b7bc-4478-9c76-634b7b3d4e10 · outbound

This paper cites Selective Attention for Context-aware Neural Machine Translation.

Adaptively Sparse Transformers Selective Attention for Context-aware Neural Machine Translation

Reference 24

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4e72661d-64ce-40d1-a5f4-bd95b40b8823 · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 25

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Unavailable: canonical work link unavailable.

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Observation 352453ca-d113-4d96-b1c8-22f410577a35 · outbound

This paper cites A Regularized Framework for Sparse and Structured Neural Attention.

Adaptively Sparse Transformers A Regularized Framework for Sparse and Structured Neural Attention

Reference 26

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3c3c9e67-903f-4f2f-8bb1-8484fd4f78fb · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b0f42cb2-2ce1-4bcf-9ba0-baeb28c6196c · outbound

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Adaptively Sparse Transformers Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9e30d6d3-5743-49a4-b75f-d00c23bd9297 · outbound

This paper cites SparseMAP: Differentiable Sparse Structured Inference.

Adaptively Sparse Transformers SparseMAP: Differentiable Sparse Structured Inference

Reference 29

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Observation be25dbe4-c729-436e-a897-f9a171973855 · outbound

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Adaptively Sparse Transformers Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1aa069ea-11c4-4755-a722-c74c6bcd5281 · outbound

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Adaptively Sparse Transformers Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 12e788bb-f4c9-4456-a26e-8462f0371425 · outbound

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Adaptively Sparse Transformers Neural Machine Translation of Rare Words with Subword Units

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 822f86fd-7a6f-45d1-92d5-21cc15d5726d · outbound

This paper cites SSN: Learning Sparse Switchable Normalization via SparsestMax.

Adaptively Sparse Transformers SSN: Learning Sparse Switchable Normalization via SparsestMax

Reference 33

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6b69cc75-396e-4345-b801-736e02e7caf3 · outbound

This paper cites Adaptive Attention Span in Transformers.

Adaptively Sparse Transformers Adaptive Attention Span in Transformers

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec9dbf3b-685a-4d22-a706-e24c0ea4d0ed · outbound

This paper cites Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures.

Adaptively Sparse Transformers Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 280db212-b69f-4506-b5d0-5e828bc33389 · outbound

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Adaptively Sparse Transformers BERT Rediscovers the Classical NLP Pipeline

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 82a6cfbe-7ab4-4941-b7a1-540d7cdc9549 · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eec14597-7530-45fc-a719-18dc0044f6bd · outbound

This paper cites Attention Is All You Need.

Adaptively Sparse Transformers Attention Is All You Need

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4b295636-d5b1-4470-9dc8-4fc9ed27ea6e · outbound

This paper cites an unresolved cited work.

Adaptively Sparse Transformers Unresolved cited work

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-14T10:10:29.939734Z digest=sha256:ea4f93d3679048a2f77a17f1d3592aecc99c447edf200797c0ac47657aa05644

Observation 48710847-3925-404e-9e8a-d57745cd91d0 · outbound

This paper cites Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned.

Adaptively Sparse Transformers Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Reference 40

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no resolver link, observed 2026-08-14T10:10:29.944667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:10:29.944667Z digest=sha256:3ec959b8ee4d3b28db4441b31bc9fbab07ad7a98403f6e64089dadde991905e7

Observation e6bfe6b2-c04c-43d6-9192-848c28b36fb1 · outbound

This paper cites Pay Less Attention with Lightweight and Dynamic Convolutions.

Adaptively Sparse Transformers Pay Less Attention with Lightweight and Dynamic Convolutions

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T10:10:29.950614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:10:29.950614Z digest=sha256:ce6d8a20c6f994efc0be8a9baa6ab557282af707947f07fa8b43ddcb8daea059

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T23:57:10.953617Z digest=sha256:abeb7ae2ffda93300e42584f6c97620701f1edf5ae6ce1ad4f582a560c0bfa67

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-12T23:14:25.431471Z digest=sha256:954028b106ac0dfa60453e20d644afb86d288834a59223fbcd4c55c31fffe260

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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:a65ed3a5069395a3a59aac567dd7d8d5d77cc7f9d22c5e3506b53fac48fd10f7

Observation 02e99347-3cb4-4bac-b116-a008d9ca76f3 · inbound

Revisiting Transformers through the Lens of Low Entropy and Dynamic Sparsity cites this paper.

Revisiting Transformers through the Lens of Low Entropy and Dynamic Sparsity Adaptively Sparse Transformers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:42.978885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.978885Z digest=sha256:ee7fba04d2a9a108af88feeb99d123116c0aafa3ba3d954885041bc5fb0769d8

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.

source=arxiv_source observed=2026-08-07T06:03:19.293695Z digest=sha256:3fe49fc30952a29dc2989804dcbbf4bb1833db78fe08b9ceac396037acb7e701

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.

source=pdf_text observed=2026-08-06T11:59:21.675803Z digest=sha256:f947beff8b3e655f9ce0588e48b5af4c202085f8ad420bd01b5adf6126329b5a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T00:34:38.247099Z digest=sha256:70ab428cd46b98d3f622c006fc0864597a18c2aaeb3ccb93f284727609270bfe

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.

source=pdf_text observed=2026-08-06T00:02:58.908479Z digest=sha256:91477ffaa965eef31ed4557c4471240ea51ce38119a25f2efce6e2be7be81d7e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T22:00:02.646349Z digest=sha256:316440ed41a1cf2af265be5e5daad66f4c270048dd735bb5c2eb3cbce7ebbf2c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-09T16:38:51.074609Z digest=sha256:e2ffd52d70e0ac2123611ebab2dc474b379241c3bd9d548c76091f3e73715c7d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T03:19:54.048685Z digest=sha256:8a973b7c444b6d556423b23b8d824882730b877d610238a4c286b477ccdbd286

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T05:31:29.510639Z digest=sha256:3003230a2727528d487f2aa50996baebc0de4ce82fcf43bc0d4c29776b41d9a0