Paper Citation Record · LEDGER

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1912.08777.

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

pith.paper-citation-record.v1
1912.08777 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:35:06.075681Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

981
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8bc9c586-80f5-4503-86c6-6eceb7af66fe · inbound

Facet-Aware Evaluation for Extractive Summarization cites this paper.

Facet-Aware Evaluation for Extractive Summarization PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T10:49:11.998052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f8a22c1-c597-493a-b0a0-4e493ddaa8f6 · inbound

Learning to summarize from human feedback cites this paper.

Learning to summarize from human feedback PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:46:18.702624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e7708a0-79a8-46a8-be5b-e2601eb725f5 · inbound

Multi-LLM Text Summarization cites this paper.

Multi-LLM Text Summarization PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T11:28:02.014799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53b63b1a-db99-41ee-95b4-cd792e6d6c5a · inbound

AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations cites this paper.

AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T18:37:19.347369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6bdfd82-ea46-489e-9d0a-863bbc482f0e · inbound

Adapting Biomedical Abstracts into Plain language using Large Language Models cites this paper.

Adapting Biomedical Abstracts into Plain language using Large Language Models PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T14:05:55.135018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7eb164-08b9-4151-a0ca-2f4b9f79ac45 · inbound

A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource Setting cites this paper.

A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource Setting PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:06.075681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452955ac-d86d-4042-90e7-10ae54aa0448 · inbound

Assessing the feasibility of Large Language Models for detecting micro-behaviors in team interactions during space missions cites this paper.

Assessing the feasibility of Large Language Models for detecting micro-behaviors in team interactions during space missions PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:06:05.111204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 986c611a-1010-4a15-8533-14f5da05324d · inbound

LLMs as Architects and Critics for Multi-Source Opinion Summarization cites this paper.

LLMs as Architects and Critics for Multi-Source Opinion Summarization PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:51.092533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c940163-6683-44ac-987e-af0d78eeb4cc · inbound

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models cites this paper.

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:20.072296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51c73a60-3044-4a68-857c-aa6338ddaa93 · inbound

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models cites this paper.

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:44:16.083763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ead7449-6e30-40a1-9502-d6a95d75cfb5 · inbound

From Unstructured Recall to Schema-Grounded Memory: Reliable AI Memory via Iterative, Schema-Aware Extraction cites this paper.

From Unstructured Recall to Schema-Grounded Memory: Reliable AI Memory via Iterative, Schema-Aware Extraction PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:16:27.496929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42265479-151d-4287-8f69-9c9caa47beb9 · inbound

SWAN: Semantic Watermarking with Abstract Meaning Representation cites this paper.

SWAN: Semantic Watermarking with Abstract Meaning Representation PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:09.597617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ccb029d-f194-46a6-a9e4-fd25e9fa057b · inbound

Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding cites this paper.

Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:43:13.121177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f1667f8-05ae-41d9-8408-4f745d97be54 · inbound

Forewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly Detector cites this paper.

Forewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly Detector PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:24:27.171969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.