Paper Citation Record · LEDGER

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization

As of 23 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2412.08196.

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

pith.paper-citation-record.v1
2412.08196 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:09:17.202630Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy12
unresolved14
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f19ef6b3-8d58-41a8-ae2b-e068606f18e5 · outbound

This paper cites GPT-4 Technical Report.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.079440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddc3014a-1ec7-449a-b1ad-211ee06b502c · outbound

This paper cites Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.084978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efe5d30b-8a64-4b3c-a3ea-dcdda6f1fc94 · outbound

This paper cites Post-correction of his- torical text transcripts with large language models: An ex- ploratory study.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Post-correction of his- torical text transcripts with large language models: An ex- ploratory study

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.528828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae5d26f0-702f-42ef-9bbc-6c32bb296e64 · outbound

This paper cites Language Models are Few-Shot Learners.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.094269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317d7f99-773f-451e-9562-1706d1db2e7e · outbound

This paper cites Improving Factual Consistency of News Summarization by Contrastive Preference Optimization.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Improving Factual Consistency of News Summarization by Contrastive Preference Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.098694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19ddcaba-f6c0-46c4-8a5d-5f4984b96e19 · outbound

This paper cites Abstractive vs.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Abstractive vs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.516722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f0122789-6f74-4f40-a7f4-d9b67b119cc2 · outbound

This paper cites News Summarization and Evaluation in the Era of GPT-3.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization News Summarization and Evaluation in the Era of GPT-3

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.108492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 639d0f14-aff8-45fc-ba3d-7983401acb4c · outbound

This paper cites Evaluation of deep convolutional nets for document image classification and retrieval.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Evaluation of deep convolutional nets for document image classification and retrieval

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.505623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abf6af68-7abe-42e3-a426-1a6fb76549c1 · outbound

This paper cites Mistral 7B.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Mistral 7B

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.119474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5bb2f26-5155-46b5-bee5-00f80b8d9fcb · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.493376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f4d2aa5-e9fe-453f-a688-51e8892f527e · outbound

This paper cites Building a test col- lection for complex document information processing.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Building a test col- lection for complex document information processing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.480313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a099701b-9cf7-47c9-bd7f-2c026d78bfc1 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.135263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e76552fa-fb9a-4710-a632-4b40f48dc9ee · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Rouge: A package for automatic evaluation of summaries

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.468261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 763219e5-cd12-4cf8-9b58-5367b4750473 · outbound

This paper cites On Learning to Summarize with Large Language Models as References.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization On Learning to Summarize with Large Language Models as References

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.144131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1ae0e75-0938-4b58-a02b-186437bfa69a · outbound

This paper cites Decoupled Weight Decay Regularization.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Decoupled Weight Decay Regularization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.149047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73dd2a5d-5874-403c-ae09-b9cd527d588d · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.154232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff16250a-5212-4c37-8262-52185356be42 · outbound

This paper cites Generative in- terpretation: Toward human-like evaluation for educational question-answer pair generation.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Generative in- terpretation: Toward human-like evaluation for educational question-answer pair generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.456231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 076d5541-0748-43e7-816a-de9a645eb9ef · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.444015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06d69c0a-439d-47a4-84d0-73c49cbfa90b · outbound

This paper cites Distildoc: Knowledge distillation for visually-rich document applications.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Distildoc: Knowledge distillation for visually-rich document applications

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.432789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25d23c4c-8ffb-4d60-989a-bcd6bd8b4bac · outbound

This paper cites Assessing the impact of ocr quality on downstream nlp tasks.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Assessing the impact of ocr quality on downstream nlp tasks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.406060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e86edbb9-f5c6-448f-862a-aacb1f280b5d · outbound

This paper cites Attention is all you need.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Attention is all you need

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.179631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd00ac67-0234-436c-bc48-85a4bd9e4071 · outbound

This paper cites Want To Reduce Labeling Cost? GPT-3 Can Help.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Want To Reduce Labeling Cost? GPT-3 Can Help

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.183781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c8bd367-ec29-4feb-b562-8d083cad63f3 · outbound

This paper cites A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.187957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49850ab1-85aa-4dff-acf2-77b7299b4482 · outbound

This paper cites Pegasus: Pre-training with extracted gap-sentences for ab- stractive summarization.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Pegasus: Pre-training with extracted gap-sentences for ab- stractive summarization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.386780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 47a26173-d6d7-46e4-90fb-a2e8ee6f3f7e · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization BERTScore: Evaluating Text Generation with BERT

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T18:09:17.196815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e75de1-701d-4c7f-9172-1e499bb0d35a · outbound

This paper cites Bench- marking large language models for news summarization.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Bench- marking large language models for news summarization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:09:17.375047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 764bf270-ea5c-42ca-98ce-a9f672ae7e62 · outbound

This paper cites an unresolved cited work.

DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization Unresolved cited work

Reference 217

Resolution: parse uncertain; raw_fallback, observed 2026-08-11T18:09:17.419066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.