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Paper Citation Record · LEDGER

Improving Multi-Head Attention with Capsule Networks

As of 17 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 2026-08-16T06:30:59.297886+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:ce4cfc24e12e59e7c64cbdcbfff9dd438152bc0b034a5ff6940695274af4d7b0

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=sha256:803ef98d01070701188f4cb29c7028886d59297d55b012fa4fdf32591ea72d3e

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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raw_fallback, observed 2026-08-14T06:05:18.678338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.142097Z digest=sha256:c99701736111cb3813c512ff1f991749ccbbca7b3581c26dcc899939f3042592

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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no resolver link, observed 2026-08-14T06:05:18.145792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.145792Z digest=sha256:967e0a643a96f84aedefaeb8ddcb3c77ef21b47bd690adcce24e8efbbfe4a75a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.150085Z digest=sha256:84ee93aefb70092457224cfd89ca2d28cd3901367413c237e2e823d5f2970e4c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.153856Z digest=sha256:9d04f85d8bab6935658496e0eb70bcec851912d41dad14ac2c4e0fc376280830

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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no resolver link, observed 2026-08-14T06:05:18.158073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.158073Z digest=sha256:6da62ca26d1e86a79df05e899cb438e8b6dbfe04148e49a9b668959933a57db7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.161883Z digest=sha256:71fe956ffcee078578bdf1c45c7709fbd1190697f75d6d95ea187b2408a9035e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.165633Z digest=sha256:8b2856cf9f0bf2ae28ae311765752a685d12730fdc94fea00c87a7ed82f83ce7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.169018Z digest=sha256:153be278da8e60a3c1b38d63ebf764ce52b5a1658ec282fdae154186774eac85

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.172776Z digest=sha256:e2b9f36dd5bfd4ce55aa61ba859a2bf91233d6da2130aab37812885150e06600

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:dde883b96091e5636247e5ab0079113f27f01b2211c4b32ea6bbe12e140140cf

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=sha256:362fcea34677716b2c0bc60d3b59dc5696b107e78cc4048e78db5e017b3ec2c5

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.183913Z digest=sha256:e0d720a037a1165b569257d0d426e87bb7ffb2cc0f30fae23fe2d4dea1c2e277

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:cf5e19596377d474711b7e0ecaf80fc1e7ff31c460a4630bde968a2ffd6dcdda

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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verified exact
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.191855Z digest=sha256:ac3ccde1972f5263d796867b5b30aebda0cf061244f4d74521da13424dc49475

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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no resolver link, observed 2026-08-14T06:05:18.195272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.195272Z digest=sha256:60e9959654c756067bb77da254b2bf0599f865c2dcb9ab22e949eb9db8e6c6a9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.198949Z digest=sha256:95ecff80d94a3fd9fe069fcbaadb786f180980a525e388d00a7ca64c148a807b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.202348Z digest=sha256:3931ac52690c212ae976fbb521e2b03d8a6bdca7aac7fafd690cd8321b659a0e

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:f66b7dd3800c2ab5eedd11b853b89a6d6296c3a4744006faf27daea80908fc70

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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no resolver link, observed 2026-08-14T06:05:18.210041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.210041Z digest=sha256:7f5992e13af6db8ed9e0bbe6087cfe11660c9fad36141edbfc51b1ae5d66abbb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.213821Z digest=sha256:799d42608dd10d7c23cf20b6c8c91e02bcc4f7b33a38a15bc653227bdd003ba2

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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no resolver link, observed 2026-08-14T06:05:18.217397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.217397Z digest=sha256:ae829d6b61a83508cafee7777cf0f64c6aa3900ae5b326c13029ec997b632bbf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.221144Z digest=sha256:4b5901de12ea0276b644604b0a7d5763a259ebe011121b53450d803cf7dbc653

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.224775Z digest=sha256:ed883960f13415f441066fa8a2936c11627eb24bd3ebbb4ca2262a5bf614c2a5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.228478Z digest=sha256:bde96844e31d5092dafdd5d785869ad7bcb392c5fbd410d87e1b8f117805ad1c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.231968Z digest=sha256:c6a8fc6020b01cb651c4c7703b8851096bd0c2db47e7bb473efb2a5ae88bf4d7

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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no resolver link, observed 2026-08-14T06:05:18.235645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.235645Z digest=sha256:66d52546a73ac4f0f484f9ae089495f682df0e6fdd22f8cdf132309b9c85fe6c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.239595Z digest=sha256:595c2cbdd906b7ab4d74a5a476026818fe4c169d7e908cb937da3810c5cdfb26

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.243324Z digest=sha256:2158f446185375e07d3300baf309d1258439eb10051431c4be320bcab20b9c6f

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=sha256:3b7253e4713cb608435858b14a76c66838b611bd5727825f21b8e5ded7ac6839

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.250606Z digest=sha256:4e10a2380541a4a46d9cb727c9bbab152f28a42b054016aaaf63c8e194438af0

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=sha256:903cac660af8f54de056d9444db39c0cc1b1d4941ccff34a3c8e3c1d7ff3d53e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.257988Z digest=sha256:69721e7ce0038d67b8e2da5bef3896a9125e2f55a2013bd686a36d31e3d064f1

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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unresolved
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T06:05:18.261417Z digest=sha256:d605be6041a9a73a95b7123cfdd8c2e47b22442f0c1e247c8404103c7da1007b

Pith citing papers

No inbound Pith citation observations are available.