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Paper Citation Record · LEDGER

TransSent: Towards Generation of Structured Sentences with Discourse Marker

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1909.05364.

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

pith.paper-citation-record.v1
1909.05364 v3

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:55:49.625132Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

26 of 26 outbound references displayed

  • verified exact4
  • verified fuzzy13
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca60d7ab-6d2d-44c4-bf88-14af310f4479 · outbound

This paper cites Translating embeddings for modeling multi-relational data.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Translating embeddings for modeling multi-relational data

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-14T04:55:50.076006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.533786Z digest=sha256:3819241aa0efb56809f1aff8f74fb59eadf2f239d01f122e09b33ef35299f16c

Observation f4620b8d-4e69-405d-9b81-b5bd854cf381 · outbound

This paper cites Long text generation via adversarial training with leaked information.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Long text generation via adversarial training with leaked information

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-14T04:55:50.063511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.550475Z digest=sha256:2c082a20e5d79ec8cca3b8c626dd79714f01f463df78fda01427a2d7d0f69d09

Observation 28506c03-8abb-449b-bf04-976a31e174cd · outbound

This paper cites Literature and cognition.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Literature and cognition

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-14T04:55:50.050607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.553990Z digest=sha256:40b3a2265657343fe517648163a83c4c695bba0fd83e9967de75411a392070c8

Observation 2094b33c-e887-4218-8ee3-1f6d6d3e35bd · outbound

This paper cites Learning entity and relation embeddings for knowledge graph completion.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Learning entity and relation embeddings for knowledge graph completion

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:55:50.001331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.575386Z digest=sha256:4a57214e8ecaca9442f24642caa8aa84e4d55276e7a4c1cf775e56b6c820421e

Observation f28efc02-36ba-459c-990b-6c8c15a1f655 · outbound

This paper cites Pointer Sentinel Mixture Models.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Pointer Sentinel Mixture Models

Reference 13

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no resolver link, observed 2026-08-14T04:55:49.579010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:49.579010Z digest=sha256:649651e4edfbf64437c0452aa6ff2b580cd24b2247064c97d8252faa0f669202

Observation 612f2622-1da0-4e6c-9234-d1b1e6a3294d · outbound

This paper cites Sequence to Sequence Learning for Event Prediction.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Sequence to Sequence Learning for Event Prediction

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:55:49.839659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 13c841c6-7b37-47dc-a70d-e08e9cc5b424 · outbound

This paper cites DisSent: Sentence Representation Learning from Explicit Discourse Relations.

TransSent: Towards Generation of Structured Sentences with Discourse Marker DisSent: Sentence Representation Learning from Explicit Discourse Relations

Reference 15

Resolution
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no resolver link, observed 2026-08-14T04:55:49.586406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:49.586406Z digest=sha256:1c2a8f0c86bee70aa003e082afa11adf7482f45f1959d5ea17ff5983157e36a2

Observation aa22c485-5657-470c-b0f3-66b5bb4fd331 · outbound

This paper cites Adversarial Generation of Natural Language.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Adversarial Generation of Natural Language

Reference 16

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no resolver link, observed 2026-08-14T04:55:49.589865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:49.589865Z digest=sha256:b1ba459dff4cad3893da6b0947d052fb56910d8236d542c4426882b46eb56bbe

Observation e8a5b4a6-bd40-46e1-8019-f8a41530be27 · outbound

This paper cites Enhanced english universal dependencies: An improved representation for natural language understanding tasks.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Enhanced english universal dependencies: An improved representation for natural language understanding tasks

Reference 17

Resolution
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raw_fallback, observed 2026-08-14T04:55:49.989574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.593333Z digest=sha256:9b307035a8c1e09b8de94461ab66427f78198d155a123d568ba325be0566883a

Observation e9e6ba9e-5777-44d6-858b-612f68b5e78f · outbound

This paper cites Long and Diverse Text Generation with Planning-based Hierarchical Variational Model.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Long and Diverse Text Generation with Planning-based Hierarchical Variational Model

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T04:55:49.596582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:49.596582Z digest=sha256:b75d951c01d2132ed9b8dd6fa7a8e2a9243e06e97f93f0c51f30b1df81853496

Observation 10e33483-ef61-400d-9c40-60992f43a8b4 · outbound

This paper cites Policy gradient methods for reinforcement learning with function approxi- mation.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Policy gradient methods for reinforcement learning with function approxi- mation

Reference 20

Resolution
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raw_fallback, observed 2026-08-14T04:55:49.976752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.604045Z digest=sha256:6af75c6a97cd93d27459caa96aa13e94c8cd938c6661908b758a207ebee4747f

Observation 9bf76b79-d09b-4a07-9103-69fc51916924 · outbound

This paper cites Modeling Coherence for Discourse Neural Machine Translation.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Modeling Coherence for Discourse Neural Machine Translation

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:55:49.770569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.611130Z digest=sha256:73e032ab4e9eb8e97b2af45215b3777188f77a8d80594f317028c81dce67ae1e

Observation aaaf7a15-8074-4452-84be-66c719ec903c · outbound

This paper cites Unsupervised text style transfer using language models as discrimina- tors.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Unsupervised text style transfer using language models as discrimina- tors

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:55:49.951831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.614839Z digest=sha256:a661e41c92e504fd8d09f336a38c4bc8e41fb52762cb98d7bb9ec7fdcf61973a

Observation 135a3d29-c89c-4744-b2ac-3b6c7b3370db · outbound

This paper cites Seqgan: Sequence generative adversarial nets with policy gradient.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Seqgan: Sequence generative adversarial nets with policy gradient

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:55:49.939172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.618165Z digest=sha256:48ef7aab6bc4bf84d6f5aac81ed55943ec2a2e117033813ed6d87ca94e0da52d

Observation 228ff686-d605-4ca2-92c5-3722faa37644 · outbound

This paper cites Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T04:55:49.621538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:49.621538Z digest=sha256:b057619bdf8b375772c34fe2b23c69e4e4d53952f2332a132efe216bdce1823d

Observation 3cdd35b8-c67c-4b81-9033-737fc7cea3d5 · outbound

This paper cites Aligning books and movies: Towards story- like visual explanations by watching movies and reading books.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Aligning books and movies: Towards story- like visual explanations by watching movies and reading books

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:55:49.926323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.625132Z digest=sha256:4166e642877c5f94862556027c9ad7efeacbf33a1af73580ffc61b5d799172f2

Observation 8b10b95f-e3cb-4430-9347-326ddc5707bf · outbound

This paper cites Long short-term memory.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Long short-term memory

Reference 1990

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:55:50.038750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.557789Z digest=sha256:6d0ff5b982ab4f9bed77537f336791db14cf171bb291ba1e1b3bf158b6a6bbe7

Observation ff341683-533c-4d14-a4c1-67b0aba5976c · outbound

This paper cites Toward controlled generation of text.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Toward controlled generation of text

Reference 1997

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:55:50.025611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.561080Z digest=sha256:809e08ad339df83fea73bd71faee0bc14e967ebf2f9f9fd74ab97422632a6d61

Observation 2262cb72-14cb-4033-80e2-21af5e7631eb · outbound

This paper cites Knowledge graph embedding by translating on hyperplanes.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Knowledge graph embedding by translating on hyperplanes

Reference 2000

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:55:49.964216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.607611Z digest=sha256:fa9a7ec154af0a832e2293f4186cf1f9f6bde3c1e42cf801884450e2b19a1907

Observation dc712f46-2217-47aa-b1a8-f147dcffddc8 · outbound

This paper cites Discourse-Aware Neural Rewards for Coherent Text Generation.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Discourse-Aware Neural Rewards for Coherent Text Generation

Reference 2013

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:55:49.913528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.538012Z digest=sha256:998fdb04e71a1d5b32dc0f3d6ad18244720eed42a1590f3dc25fb8b364fd3cb6

Observation 1d8b4346-fe51-422f-a9eb-66851bf7910a · outbound

This paper cites Controlling Output Length in Neural Encoder-Decoders.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Controlling Output Length in Neural Encoder-Decoders

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-14T04:55:49.568006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:49.568006Z digest=sha256:0a2bf8e8ef2ec535dd6a0923c215eb958be43c0ca2c58eed2f77df8d096cda49

Observation 88b45c3f-8b0a-4411-bf0d-f89467d62149 · outbound

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

TransSent: Towards Generation of Structured Sentences with Discourse Marker BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-14T04:55:49.546497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:49.546497Z digest=sha256:ee043e3d0c83a892d9fe06f6c952f9aa9be614931f2f0ee5f002c502e96d9374

Observation fcc09f6d-d34f-49a6-9ad5-4f6bcaa37cf4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Adam: A Method for Stochastic Optimization

Reference 2016

Resolution
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no resolver link, observed 2026-08-14T04:55:49.571920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:49.571920Z digest=sha256:c402f4e4cee94b8fb62fd23228402107f84e4e995987b2f3b61582629506f457

Observation 279a19ed-f81e-485a-9c38-d4994b1b7154 · outbound

This paper cites Sequence to sequence learning with neu- ral net- works.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Sequence to sequence learning with neu- ral net- works

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:55:50.013291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.564477Z digest=sha256:5d9d6e1ef522491d7de75dacfd53173c700c6f7c8cc98f2b8cc3491f1cfe5114

Observation 610de31a-e4cc-4771-b27e-6cc9dd84919f · outbound

This paper cites Generating Sentences from a Continuous Space.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Generating Sentences from a Continuous Space

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-14T04:55:49.542858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:49.542858Z digest=sha256:06024a9f4a97dd2a0afd2bea360cf820d731cd7f4e7895b1fb2f602fa2265b5d

Observation bb84775f-fefa-467d-82bf-045502afab81 · outbound

This paper cites Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models

Reference 2019

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:55:49.788066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:55:49.600169Z digest=sha256:d0c50d96ac7a685a1a5fbc29a106d70b33d145219457eedd997b0c910f497158

Pith citing papers

No inbound Pith citation observations are available.