Paper Citation Record · LEDGER

Repurposing Decoder-Transformer Language Models for Abstractive Summarization

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1909.00325.

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

pith.paper-citation-record.v1
1909.00325 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:59:39.677951Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

33 of 33 outbound references displayed

verified exact2
verified fuzzy1
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3fa0ea9-aca1-43d6-b545-e6db3e0e8300 · outbound

This paper cites URL: " 'urlintro :=.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization URL: " 'urlintro :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.554935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea6d6f5-75ab-4672-9e00-faf689d5db08 · outbound

This paper cites write newline.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.560273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118cee23-5e0d-4fe1-99fe-468c6e8f3a89 · outbound

This paper cites Deep Communicating Agents for Abstractive Summarization.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Deep Communicating Agents for Abstractive Summarization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.564270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f928dc8-e101-44e8-a12f-4221e0231a33 · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:59:39.952054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03114911-13f7-424a-bf3d-1d90e01e71d2 · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.572494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f8db10-c982-4da8-ae7e-e1621255623a · outbound

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

Repurposing Decoder-Transformer Language Models for Abstractive Summarization BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.576246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ab106c-35d4-4682-bb31-a3102f85ad2a · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.580046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5b3c5fd-e1e4-4f2c-ad16-db48d3a3ec07 · outbound

This paper cites Incorporating Copying Mechanism in Sequence-to-Sequence Learning.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Incorporating Copying Mechanism in Sequence-to-Sequence Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.583537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee7d3775-6788-489a-82a1-15bd2e505e03 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization The Curious Case of Neural Text Degeneration

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.587768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a86387-42b1-42b6-9d44-ceb5df58f635 · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.591532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b16ed9e-1594-43d2-a528-8ef61f33cb81 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Adam: A Method for Stochastic Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.594984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93914926-9609-4d0a-9eb3-242293e6df2f · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.599082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9e63412-78f1-4ca8-8f13-5beaa88213ad · outbound

This paper cites Layer Normalization.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Layer Normalization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.602861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8142070-7843-4e71-8a57-b0b5a048d637 · outbound

This paper cites Actor-Critic based Training Framework for Abstractive Summarization.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Actor-Critic based Training Framework for Abstractive Summarization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.606319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6e6563-9989-4f31-92ff-4bd8ae1cec4d · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:59:39.923925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b3bf7d9-dfd7-404f-85f4-9cd95c1b2966 · outbound

This paper cites Liu, Mohammad Ahmad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Liu, Mohammad Ahmad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:59:39.913260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2dce94d5-fb15-4324-bb05-e34a077af28d · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-08-14T05:59:39.708932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35e06056-7c0b-4ff2-bf1b-2d01cf20d88c · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.622038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 512f626f-c8fc-458b-a021-3a178fadfe1d · outbound

This paper cites Cohen, and Mirella Lapata.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Cohen, and Mirella Lapata

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.626476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7985c6c1-79ad-4cb5-ac66-52a927bfffad · outbound

This paper cites A Deep Reinforced Model for Abstractive Summarization.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization A Deep Reinforced Model for Abstractive Summarization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.630755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e976b93c-3201-411f-8ca2-d5896e86c67b · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.634628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfd5d0b9-06cc-4db1-a49b-90d5521c4b92 · outbound

This paper cites Improving language understanding by generative pre-training.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Improving language understanding by generative pre-training

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.638711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b86dea-bd6a-416d-b99f-b815d9f7e87d · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.642668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dbdec1b-e931-4fef-9034-9e58b9fc1f30 · outbound

This paper cites A Neural Attention Model for Abstractive Sentence Summarization.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization A Neural Attention Model for Abstractive Sentence Summarization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.645820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53035531-eca7-4982-ac35-4430a1370341 · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:59:39.879886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d6ed72b-ccd7-4834-9fab-cfb0078b55ba · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.653191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff0ecfc-46ba-44e4-8cb9-1d03a5ffb015 · outbound

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

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Neural Machine Translation of Rare Words with Subword Units

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.656661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ceadbe9-6f0a-42f9-9222-f990f7d78223 · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.660573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99421633-5061-4821-9442-9f7a34f7584a · outbound

This paper cites Modeling Coverage for Neural Machine Translation.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Modeling Coverage for Neural Machine Translation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.663778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74317759-001f-4c56-80c7-31a6e65ba0cc · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.667610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34fc66e7-82a5-4581-8600-d37b5e18b7fa · outbound

This paper cites an unresolved cited work.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.671378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 556b5903-a98b-4967-ad31-a33bab998cfa · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:39.674676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5089fa09-b005-4bdc-9518-906389c4e046 · outbound

This paper cites Efficient Summarization with Read-Again and Copy Mechanism.

Repurposing Decoder-Transformer Language Models for Abstractive Summarization Efficient Summarization with Read-Again and Copy Mechanism

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:59:39.724024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.