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Paper Citation Record · LEDGER

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition

As of 17 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.10261.

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

pith.paper-citation-record.v1
1908.10261 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:53:38.966349Z

measured 42 of 42 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

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51f4a1f6-2ae7-4db0-a5d3-7fdbc3ea7f86 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition , " * write output.state after.block = add.period write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e30784e-c7bd-4279-8c99-d2d61c1a4831 · outbound

This paper cites write newline.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition write newline

Reference 2

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no resolver link, observed 2026-08-14T10:53:38.240810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:53:38.240810Z digest=sha256:a5f3736947a13b57a3104087e4de5b4c0e1efe6cb1bc94cec43f65864ea66271

Observation e89a5bd0-b0c6-415f-b354-63ad007b501a · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-14T10:53:40.231617Z

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.

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Observation 299963db-e8f3-4421-80f6-28407eab7918 · outbound

This paper cites Appelt, Jerry R.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Appelt, Jerry R

Reference 4

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

source=arxiv_source observed=2026-08-14T10:53:38.250327Z digest=sha256:44d3b4742e6fde7cfeb5daca485ab0f371089147802d0b79675d74e5580ca690

Observation bd3133ed-9e2f-4a69-be8e-db5fab2ed252 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition 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.

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Observation 062adcf2-231b-42eb-ad13-d8a9cd36fc1c · outbound

This paper cites Chiu and Eric Nichols.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Chiu and Eric Nichols

Reference 6

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

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Observation 9229336e-8a2f-4120-b5e5-74225e8a4633 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition 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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T10:53:38.262186Z digest=sha256:7a967d5736af02ed5e9450b7fba5e2935dab50ac83817a64f442d2d13ae2a03c

Observation aae3b69b-7a43-4f72-b874-1c18ff6405c1 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition 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 2026-08-16T06:30:59.297886+00:00.

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Observation d2432611-dfd5-4f4c-974b-3f66a8cc6756 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition 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.

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Observation 671e9d42-2ebd-4323-a331-6d50c7284557 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition 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.

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Observation c87138f4-f2ba-4366-bf7c-bad513c71607 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition 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.

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Observation 272c0f2d-5c49-4be5-beb8-9b14033e7a32 · outbound

This paper cites Improving neural networks by preventing co-adaptation of feature detectors.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Improving neural networks by preventing co-adaptation of feature detectors

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a53c1bc-0385-445d-b9c3-af41893260e2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Adam: A Method for Stochastic Optimization

Reference 13

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no resolver link, observed 2026-08-14T10:53:38.329296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:53:38.329296Z digest=sha256:752d283b372e26625264827a90c665c96061bf8ff17166007b9e816b5b864a53

Observation ef516dbc-f6de-488b-8416-96c9520ca262 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 14

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raw_fallback, observed 2026-08-14T10:53:39.948879Z

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.

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Observation abc70606-9d9f-4da5-aaa3-1103b87a72c4 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-14T10:53:39.929154Z

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=arxiv_source observed=2026-08-14T10:53:38.338689Z digest=sha256:2fc0307e2704f96e7c359193d6fb7092fb13e796837a3233b593e751423ac9a3

Observation 850075ab-80c3-4db5-b43a-7380ef6bbe6d · outbound

This paper cites Cross-lingual Language Model Pretraining.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Cross-lingual Language Model Pretraining

Reference 16

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no resolver link, observed 2026-08-14T10:53:38.360144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 03d586f3-3572-483e-a5e0-ba05c40be921 · outbound

This paper cites Arkhipov, and Mikhail S.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Arkhipov, and Mikhail S

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 763ce4ae-0869-434b-9efc-26fb7b2132cd · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition 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 2026-08-16T06:30:59.297886+00:00.

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Observation 0983093e-759b-44f2-a5a8-c56b49458617 · outbound

This paper cites Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b7ac981f-f5d0-4af5-bc13-b729ccb4a1a1 · outbound

This paper cites Multi-Task Deep Neural Networks for Natural Language Understanding.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Multi-Task Deep Neural Networks for Natural Language Understanding

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0af27f8e-1283-4ece-bbbd-a30c734f33cc · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1d175ddb-165a-4bf6-8515-069c0b1b6c29 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Efficient Estimation of Word Representations in Vector Space

Reference 22

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no resolver link, observed 2026-08-14T10:53:38.411556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e4d128b5-feaa-4526-a2ba-142583aec942 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 23

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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.

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Observation eeecd90b-fa0c-4849-8b3b-258f593cfc01 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition 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.

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Observation 6d778774-2007-4c3d-87ed-0d4e5508639c · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 25

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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.

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Observation 247831af-390b-4f76-b09a-88f1279fe961 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 26

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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.

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Observation a176885e-55bb-4cf4-83b4-e5cf3edb28d8 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-14T10:53:39.687790Z

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.

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Observation 80929af5-e43d-4215-b6ea-3351b58b7395 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 28

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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.

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Observation 1320b235-366f-465e-8b8c-05d8879eb50d · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-14T10:53:39.425205Z

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.

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Observation c4c5668a-7e8d-45ba-968b-96ea09d2b400 · outbound

This paper cites Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Reference 30

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unresolved
no resolver link, observed 2026-08-14T10:53:38.765699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5e7c349-c52d-4b3b-b62c-8b8e882649cd · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-14T10:53:39.413622Z

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.

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Observation fb438b99-0861-489e-8088-d6ba8bf8fddf · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 32

Resolution
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raw_fallback, observed 2026-08-14T10:53:39.399804Z

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.

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Observation c909121f-3d95-42d8-b85b-4481b6b9fd69 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-14T10:53:39.336640Z

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.

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Observation 14643a05-0d3d-4ee4-be8e-933b7c9feec8 · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-14T10:53:39.313207Z

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=arxiv_source observed=2026-08-14T10:53:38.782093Z digest=sha256:6ff624073ddd3613f7255c18535bb3f84fe37480a585153c41d88d163b9cb43e

Observation 07e550fd-0aeb-46ee-923c-af4131201cfc · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-14T10:53:39.219093Z

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=arxiv_source observed=2026-08-14T10:53:38.785712Z digest=sha256:c5a23cf145281cf02223c7369135277f97b3ae87fc4592015e85358332576e7e

Observation 13629f9a-72fd-47d3-83b0-878ae8e4ed7d · outbound

This paper cites ERNIE 2.0: A Continual Pre-training Framework for Language Understanding.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

Reference 36

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unresolved
no resolver link, observed 2026-08-14T10:53:38.882814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:53:38.882814Z digest=sha256:667322ea5c7d62201abc644f147f785dc7696f77314399767f3d4b04fb18b8aa

Observation f47079eb-fa1d-4141-a789-94e4c768e10f · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:53:39.206753Z

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=arxiv_source observed=2026-08-14T10:53:38.887657Z digest=sha256:b82826b881155e36f821c5ec6f893b91246cb73d0d6abcd00a60757ea6f85ce3

Observation 8c5eebb5-3e83-4a7d-8b4d-e29fbb5efcb4 · outbound

This paper cites Tjong Kim Sang.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Tjong Kim Sang

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:53:39.195626Z

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=arxiv_source observed=2026-08-14T10:53:38.890549Z digest=sha256:8c514f0ff24ff137902c0321da56eddd1c8a239f35de365ad9117bdac2fd0e9e

Observation 530c559e-e252-4d72-913f-474af0c51f33 · outbound

This paper cites Tjong Kim Sang and Fien De Meulder.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Tjong Kim Sang and Fien De Meulder

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:53:39.159665Z

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=arxiv_source observed=2026-08-14T10:53:38.895607Z digest=sha256:599bec2a6551982312bdeab103876f757ab1e32e460bdfdf634aa3312644d340

Observation 51e89a21-58c9-450d-bfd4-44c21caa3538 · outbound

This paper cites Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, and Benjamin Recht.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, and Benjamin Recht

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:53:39.127400Z

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=arxiv_source observed=2026-08-14T10:53:38.900041Z digest=sha256:5e3b4abe693b672dda8c9778231f32c59505f78f13c14aa4524f3428dac5f5fa

Observation f69f0d47-b85b-432d-b7a5-90517287a81e · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T10:53:38.961891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:53:38.961891Z digest=sha256:f1d68ea3647b0a0664d643276761353f8893f60044c0f526b24c3e93edecf1ad

Observation e20bcf95-bb57-46a4-974e-0cf891395dce · outbound

This paper cites an unresolved cited work.

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:53:39.112351Z

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=arxiv_source observed=2026-08-14T10:53:38.966349Z digest=sha256:b60d54954f4f63c711837ed4069d5faad44e3ef040a536eb0b22acedfbec38c9

Pith citing papers

No inbound Pith citation observations are available.