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Paper Citation Record · LEDGER

Improving Multi-Head Attention with Capsule Networks

As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:1909.00188.

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

pith.paper-citation-record.v1
1909.00188 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T06:05:18.261417Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1de6a60-e69e-4882-9d42-570071db5987 · outbound

This paper cites Weighted Transformer Network for Machine Translation.

Improving Multi-Head Attention with Capsule Networks Weighted Transformer Network for Machine Translation

Reference 1

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no resolver link, observed 2026-08-14T06:05:18.133736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.133736Z digest=sha256:9f2ff4560c15b15b8db26ae5136d65c8e1635654916bb7259b457b445ff3b02a

Observation 3a734a5b-2cb4-4098-8c1e-7ab12d7128cb · outbound

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

Improving Multi-Head Attention with Capsule Networks Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2

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no resolver link, observed 2026-08-14T06:05:18.138085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.138085Z digest=sha256:3e07357a84cdc83d3c24302a5f8b50d52f7701e9b1cdf12860901a511cb82886

Observation 7ef7e7eb-52a6-4eca-8f88-b7c7eba22458 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6397b3d4-1bc1-44bb-a6b0-1660e7382159 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Improving Multi-Head Attention with Capsule Networks Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.145792Z digest=sha256:146eb00c547409bac6a060b0f97bbf3d5726b205229c367634753612e259d974

Observation 23bf6a09-0609-404e-ae98-d1b05f924b34 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.150085Z digest=sha256:f48b0ab2d361a4f6d7d88ec02face41a5449b7959662f3c36def05756e8c7fff

Observation cfe6a8c5-a05a-4c69-817d-405070cfd75c · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-14T06:05:18.657072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f195c828-9c58-4f10-b229-4c5e74610dd2 · outbound

This paper cites Convolutional Sequence to Sequence Learning.

Improving Multi-Head Attention with Capsule Networks Convolutional Sequence to Sequence Learning

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.158073Z digest=sha256:c8ec07ca0f9775164daef966b91222eafbad857aa0a1d8214e913a45af9c2344

Observation ae7648c7-9065-4651-af90-9ba29990672d · outbound

This paper cites Information Aggregation via Dynamic Routing for Sequence Encoding.

Improving Multi-Head Attention with Capsule Networks Information Aggregation via Dynamic Routing for Sequence Encoding

Reference 8

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verified exact
local_arxiv, observed 2026-08-14T06:05:18.475351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.161883Z digest=sha256:05ad4969c1cab2e67d2a29e82f7898a957eb539a5d19455e124654ca0b838c85

Observation 82098570-e95a-4417-849d-171290dd8362 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.165633Z digest=sha256:007f7695c03a20126dc3f31006444a8a18ed2663ae2f372a789b687a7c7233de

Observation 86f143a9-4819-420b-bf30-5b5e93b9454c · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.169018Z digest=sha256:98620238021c10a656c7d8a28e9578088956cf7c4fcf1e54c63195ba337ffd26

Observation 1628b2a6-11af-438d-bf1a-dbd9b35b3da1 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.172776Z digest=sha256:52be3effbb20856de5397c5a87062dc991614e6e21c97e195cf656405660df3e

Observation e4342ef4-7564-4f08-9c50-51cd40f0bf3b · outbound

This paper cites Multi-Head Attention with Disagreement Regularization.

Improving Multi-Head Attention with Capsule Networks Multi-Head Attention with Disagreement Regularization

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.176285Z digest=sha256:e26c45883bdce28518dc43e8c0588b4f13b51480a30e7448308445813d1c719d

Observation 83811288-7197-4510-9d95-b94c4c2672e5 · outbound

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

Improving Multi-Head Attention with Capsule Networks Effective Approaches to Attention-based Neural Machine Translation

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.180327Z digest=sha256:13cf376f0ec3a46e18640e5d8980d79e6e9f4ed4fd9c9bd086049ab3e071e6d8

Observation 1f74f89a-5e81-4744-8660-61b45b69f0bd · outbound

This paper cites Interactive Attention for Neural Machine Translation.

Improving Multi-Head Attention with Capsule Networks Interactive Attention for Neural Machine Translation

Reference 14

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verified exact
local_arxiv, observed 2026-08-14T06:05:18.436866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.183913Z digest=sha256:348909f27cce6ae9bc5cba593a909fe9722615d55f5d540150e3d9dae9d275c2

Observation 95feda04-acf4-4c23-a51c-0cc742ca0918 · outbound

This paper cites DTMT: A Novel Deep Transition Architecture for Neural Machine Translation.

Improving Multi-Head Attention with Capsule Networks DTMT: A Novel Deep Transition Architecture for Neural Machine Translation

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.188132Z digest=sha256:23b52ce573b3d4d9cd4c7a829edb628847833dc6de45a2cb01bda71f6b979080

Observation b3ce3797-d8ab-43f6-8f6b-e73278f3764a · outbound

This paper cites Supervised Attentions for Neural Machine Translation.

Improving Multi-Head Attention with Capsule Networks Supervised Attentions for Neural Machine Translation

Reference 16

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local_arxiv, observed 2026-08-14T06:05:18.409125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.191855Z digest=sha256:82d8bf6db1b8e6171f0dfe0c91fd50f73a808721b2121d054f7853b151ce72ab

Observation 8e8daa5e-cf33-4f5a-896b-04061c21e678 · outbound

This paper cites Scaling Neural Machine Translation.

Improving Multi-Head Attention with Capsule Networks Scaling Neural Machine Translation

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.195272Z digest=sha256:911f5784ead581227a8b20cb02a8c8d9c4198318396c9cd5cb9bbe5bf4189475

Observation 07a5f9db-ac2c-4020-bf15-9cff20db4416 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-14T06:05:18.616039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.198949Z digest=sha256:c511010a9f006ac9d569f1f83ae2aea755f3f6601b52f92b8c9ceab9988eb714

Observation 2a5574a7-e085-4418-8708-32e8f94aaf63 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.202348Z digest=sha256:cf7d7d45dddb58a8cd69d6abbb59b77a48eff88374355bf662c2b0ed5d2fab32

Observation cdf299b9-506b-466b-8aeb-6213ef2fe057 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Improving Multi-Head Attention with Capsule Networks Neural Machine Translation of Rare Words with Subword Units

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.206168Z digest=sha256:67753be0ac1f1e95fc4d8998534d9e9c655c992b5359fad18b151c28ffb9e8ea

Observation 0b0f680d-9fac-4651-b07f-6219f4a69fc4 · outbound

This paper cites Self-Attention with Relative Position Representations.

Improving Multi-Head Attention with Capsule Networks Self-Attention with Relative Position Representations

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.210041Z digest=sha256:d31f21b8930a59f47696c7ad77248c5bfb4c04abbb3ab5819ae96513e7a7de57

Observation 47a442d2-343b-4f18-9e21-30be390ae2c2 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-14T06:05:18.594281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c93ae4e8-ea76-4031-82a8-65229f38309c · outbound

This paper cites Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.

Improving Multi-Head Attention with Capsule Networks Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ed8a2686-78d5-4147-99ea-8bc7aebdda04 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1c5ec9a6-5e00-440d-9d35-411b307781b1 · outbound

This paper cites Modeling Coverage for Neural Machine Translation.

Improving Multi-Head Attention with Capsule Networks Modeling Coverage for Neural Machine Translation

Reference 25

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source=pdf_text observed=2026-08-14T06:05:18.224775Z digest=sha256:b282dbeeaac4367e6ee1b33a8b30cd0567ee50096f98345569fb83e01db67236

Observation 15ce8509-1a43-4f82-9c82-075694dfa3f5 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-14T06:05:18.572042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.228478Z digest=sha256:72301421b788dfb5708193b6bf4a51fedbf5819fe101f86cffecab0ebf134b4f

Observation 308ceb45-fd01-440e-bcdc-6b1b8cc11d08 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-14T06:05:18.561243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.231968Z digest=sha256:895125c9b47f24ef7f9c35cd0e23409051a2be5eff58b49b12b6db2c11d0de0a

Observation b4b94beb-4194-4a62-97e2-01b487461e27 · outbound

This paper cites Towards Linear Time Neural Machine Translation with Capsule Networks.

Improving Multi-Head Attention with Capsule Networks Towards Linear Time Neural Machine Translation with Capsule Networks

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.235645Z digest=sha256:4f4f00b00b1a9ea64a833dbb1a11ea7afb488691eee841fc208f381161abfb2c

Observation 8147fe62-0665-4845-8574-9a5f378c1151 · outbound

This paper cites Modeling Localness for Self-Attention Networks.

Improving Multi-Head Attention with Capsule Networks Modeling Localness for Self-Attention Networks

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-14T06:05:18.333275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.239595Z digest=sha256:3136534e601ce6d19f84c82bedc5544974f819e6debcc25f1496dcbc939f18ca

Observation e324684d-cf58-4018-a489-fe6f856c23b1 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 30

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unresolved
raw_fallback, observed 2026-08-14T06:05:18.550438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.243324Z digest=sha256:118fa8d21011d7a9295b0a8b8257acd3455f0685a2541fb5f1caa5d96f05c6f8

Observation beec930c-d88d-46bc-b86e-56e2bd9090be · outbound

This paper cites Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction.

Improving Multi-Head Attention with Capsule Networks Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction

Reference 31

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no resolver link, observed 2026-08-14T06:05:18.246777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.246777Z digest=sha256:f63775410095b52c0cabb5725d8a68894c683a62262fd6c771c8657ac9606779

Observation 89807251-741b-40ca-979d-ae7715c3e233 · outbound

This paper cites Regularizing Neural Machine Translation by Target-bidirectional Agreement.

Improving Multi-Head Attention with Capsule Networks Regularizing Neural Machine Translation by Target-bidirectional Agreement

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-14T06:05:18.308122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.250606Z digest=sha256:e158cf2ac263ad3da807303ea83b2021c0a49d3fe312fe8cc69662b2ea8987ee

Observation 00be163b-ad7d-4ccb-bb24-d2e2bd4a7e8d · outbound

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

Improving Multi-Head Attention with Capsule Networks Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Reference 33

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no resolver link, observed 2026-08-14T06:05:18.254495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.254495Z digest=sha256:277474332bdaa64ad526d9be00ab9f4b51ff6210bbae5614563062d2fed51a0b

Observation 20be2448-8997-4ce0-a4cc-c7f2de4b569c · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-14T06:05:18.539488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 85a7a007-4200-4ce7-825e-480805364182 · outbound

This paper cites an unresolved cited work.

Improving Multi-Head Attention with Capsule Networks Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-14T06:05:18.528556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:05:18.261417Z digest=sha256:c09d5a07385b0a86102d4c03aa2fbd9f93fba927fc790c12a9d7c689068bbc3f

Pith citing papers

No inbound Pith citation observations are available.