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Paper Citation Record · LEDGER

TransSent: Towards Generation of Structured Sentences with Discourse Marker

As of 15 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 2026-08-15T06:32:42.880941+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

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 2026-08-15T06:32:42.880941+00:00.

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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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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.550475Z digest=sha256:5cfb6be81ae4c10fabe933614f8a3a768f0889dba0863874e8f8262faf4a5073

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 2026-08-15T06:32:42.880941+00:00.

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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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.575386Z digest=sha256:4c1b143c2dea5b9a918f2ef56c41a67eebbc733065c49ffd87acc8fd67f4fbc9

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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unresolved
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=sha256:5c3d0ad033c44cba0b5ee96e43b87b17a71736cf31e376cb479638a2e6a8cf90

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 2026-08-15T06:32:42.880941+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

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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:a4166460dffc36a358fa02579065a5dffcecf1a70373adf7e9e48025bd83c83f

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=sha256:28952c72f0a3a8a47aff39b0a941e33b788006a82d33979afc5ade8b1d93eaee

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.593333Z digest=sha256:e4ede62b5425ebcc6a69d993fd7c028f5cef08fff2774cbff5bff8498ca7bbc7

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
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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=sha256:76a37e5b44629bad8bcc7f0412ebbdc6a85127dd9bc4e821d90fe46534ca7258

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.604045Z digest=sha256:54025d47d65fa0ab02073848289aa0731794fb94355b296abc1bd78b5bca5701

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.611130Z digest=sha256:2d7fe7ccb2498bd9106e6772df76c088cda507cb3b754c0bfadfe891a75e1d59

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.614839Z digest=sha256:4a4869169713b2088070118ef2c396b5643d39acceeb60cca79d7c8f71f249a0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.618165Z digest=sha256:1fb1bd417b3b26c6abec12d35e20347003f9ffac63270432165f3179e2898422

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=sha256:43b38ca40f7cae76f013e7d29f5c19c11cc2535f63f9cacd0f4b269c2f82aff7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.625132Z digest=sha256:9267db3211df5ddc0550902e944965b1a2fab7d294787ed33c9d5ad55cdb32c6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.557789Z digest=sha256:ac2db1bc4c35a5e846db1c88dcc612a0774041b5b25eb635acd954b4c50c17eb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.561080Z digest=sha256:3a922c48a0b0c84e4ce3184427ea5799386644e57842abcbc725a594b7f4ac49

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.607611Z digest=sha256:484781b88698dc9dbd224c324011403860da26f1c3fe4da0868cba03576559c8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.538012Z digest=sha256:d5b5e5f0e2971633b2ff73e3cdc752caa730acc29e5d808f30e5a5812b7dfd1c

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=sha256:40ec11e196dbfb5e67a58dd12684112c98e64ec686d32be1273eb2b01d6765af

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
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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:e41a1ab9b6d4af9b84e153cea628ba10b59aa70ba26dc89bd4e0a11cde640b55

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
unresolved
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=sha256:8ec7800bed3a92c215fda73c9999b0a286968879d4cb362d378ef33d4a997e47

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.564477Z digest=sha256:41589e387a76bf28bd96cd784f26440ed4e1fa9643a29c2ed0d7c67d00d96fac

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
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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:a586169234cc6731dd54a0144394546f65f50a4f3bb169741a0f8c9d2a6d99a3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:55:49.600169Z digest=sha256:f384f8b2ca6e345b139007fd231d0f2a3f8b72139775d6ea86c45cde1df83984

Pith citing papers

No inbound Pith citation observations are available.