Paper Citation Record · LEDGER

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.07248.

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

pith.paper-citation-record.v1
2506.07248 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:38.334623Z

measured 34 of 34 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

34 of 34 outbound references displayed

verified exact5
verified fuzzy14
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5da4adcf-ff75-48e1-9d82-af6189c08934 · outbound

This paper cites URL: " 'urlintro :=.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach URL: " 'urlintro :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:33.507689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38138b8f-ffd3-49b8-8599-67c1ad7affe7 · outbound

This paper cites write newline.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:33.627562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf05c49-8853-4a12-a13f-fa7aa369e62b · outbound

This paper cites L3cube-indicnews: News-based short text and long document classification datasets in indic languages.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach L3cube-indicnews: News-based short text and long document classification datasets in indic languages

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:46.077066Z

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.

Observation 4b659985-0634-4e20-a2ed-9111e51bc8f2 · outbound

This paper cites Recent advances in long documents classification using deep-learning.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Recent advances in long documents classification using deep-learning

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T05:43:39.543585Z

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.

Observation d52c79cd-0906-4da3-bc6b-eb9827d3b1a1 · outbound

This paper cites New alignment methods for discriminative book summarization, 2013.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach New alignment methods for discriminative book summarization, 2013

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:45.715716Z

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.

Observation ee2e7bae-3329-45d2-a925-c3ceb7764616 · outbound

This paper cites Peters, and Arman Cohan.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Peters, and Arman Cohan

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:34.411719Z

Source-reported events for the cited work

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Observation 3db7faa4-c93c-4fe8-8c7a-4bbf44e1288f · outbound

This paper cites An improved text sentiment classification model using tf-idf and next word negation, 2020.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach An improved text sentiment classification model using tf-idf and next word negation, 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:45.492752Z

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.

Observation 0b1abe75-97ab-4c06-b3f7-0451c1cda1b8 · outbound

This paper cites Selvakumar, and P.J.A.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Selvakumar, and P.J.A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:45.206892Z

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.

Observation 657429cd-2845-4fdd-b740-98b8757256ef · outbound

This paper cites Devlin, M.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Devlin, M

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:44.867483Z

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.

Observation b8b32b7d-a025-453c-b185-bf3b969e9844 · outbound

This paper cites Long document classification from local word glimpses via recurrent attention learning.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Long document classification from local word glimpses via recurrent attention learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:35.102087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb6af6b5-af3c-43b5-b8b9-43195e07d1e8 · outbound

This paper cites Indic-transformers: An analysis of transformer language models for indian languages, 2020.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Indic-transformers: An analysis of transformer language models for indian languages, 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:44.525633Z

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.

Observation c729cd05-5dc9-4c1b-bcbb-40a25d543998 · outbound

This paper cites L3cube-mahacorpus and mahabert: Marathi monolingual corpus, marathi bert language models, and resources.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach L3cube-mahacorpus and mahabert: Marathi monolingual corpus, marathi bert language models, and resources

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:44.201474Z

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.

Observation cacd937f-6e7c-453e-9cda-7ce9567bb77e · outbound

This paper cites Hierarchical neural network approaches for long document classification.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Hierarchical neural network approaches for long document classification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:43.944532Z

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.

Observation 00a063a9-62b8-40f3-a818-f17092398e07 · outbound

This paper cites Research paper classification systems based on tf-idf and lda schemes.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Research paper classification systems based on tf-idf and lda schemes

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:35.631062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbfc1b04-3319-4ae7-96f3-955f76f3957c · outbound

This paper cites A novel document classification algorithm based on statistical features and attention mechanism, 2018.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach A novel document classification algorithm based on statistical features and attention mechanism, 2018

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:43.724270Z

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.

Observation 5b6e39fb-b24a-4724-afdf-b4dcf133c812 · outbound

This paper cites an unresolved cited work.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Unresolved cited work

Reference 16

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:43:40.946770Z

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.

Observation 863def4c-5fa3-4648-adac-0d03c8763df8 · outbound

This paper cites an unresolved cited work.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-08-07T05:43:39.314804Z

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.

Observation 774046c4-a992-4737-bc98-5fcbeaedf053 · outbound

This paper cites an unresolved cited work.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:43:43.427817Z

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.

Observation b5ab3af5-acf2-4d29-83c0-f44798dfb26c · outbound

This paper cites Minaee, N.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Minaee, N

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:43.119466Z

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.

Observation 643f184e-4345-418b-96a0-6fd9fc6eaa8b · outbound

This paper cites L3cube-mahanews: News-based short text and long document classification datasets in marathi.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach L3cube-mahanews: News-based short text and long document classification datasets in marathi

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:42.794008Z

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.

Observation ed0da0c0-feb2-4794-938f-485585cfebe2 · outbound

This paper cites an unresolved cited work.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T05:43:38.939838Z

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.

Observation 09cacce2-8f26-4c3c-bdf8-ed87d731ddbe · outbound

This paper cites Efficient classification of long documents using transformers.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Efficient classification of long documents using transformers

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T05:43:38.635737Z

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.

Observation 044e242e-bb6a-4342-a035-c91cdc2b3715 · outbound

This paper cites Lnlf-bert: Transformer for long document classification with multiple attention levels.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Lnlf-bert: Transformer for long document classification with multiple attention levels

Reference 23

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:43:40.651453Z

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.

Observation d9e1a79a-4931-4f8c-a2b5-11be4768077a · outbound

This paper cites Multi-class text classification using bert-based active learning, 2021.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Multi-class text classification using bert-based active learning, 2021

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:42.509686Z

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.

Observation 61d00f42-6139-4739-a920-b41dff18e9ed · outbound

This paper cites Topic classification using the long short-term memory (lstm) method with fasttext feature expansion on twitter.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Topic classification using the long short-term memory (lstm) method with fasttext feature expansion on twitter

Reference 25

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:43:40.354911Z

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.

Observation 58159453-ee47-4bc0-a0d2-51137eae941e · outbound

This paper cites Text mining: Use of tf-idf to examine the relevance of words to documents.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Text mining: Use of tf-idf to examine the relevance of words to documents

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:37.212964Z

Source-reported events for the cited work

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Observation 8f58bab2-3027-4f66-9476-7d6e4387a0aa · outbound

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Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Unresolved cited work

Reference 27

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:43:39.929666Z

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.

Observation 560fa7df-94cf-4ce7-8e96-4f2276c5dd7e · outbound

This paper cites How to fine-tune bert for text classification?, 2020.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach How to fine-tune bert for text classification?, 2020

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:42.248841Z

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.

Observation f25b67cb-312e-4a2a-8e55-b0950aae5278 · outbound

This paper cites an unresolved cited work.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:43:41.898329Z

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.

Observation 403eb528-e4ce-4635-b813-d26e6bb89024 · outbound

This paper cites A deep neural network approach using convolutional network and long short term memory for text sentiment classification.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach A deep neural network approach using convolutional network and long short term memory for text sentiment classification

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:37.781082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdeb61b6-f148-46c9-bd43-51252a87c731 · outbound

This paper cites Comparative study of long document classification.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Comparative study of long document classification

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:43:41.568928Z

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.

Observation fd5b7d8d-f37a-4dcf-88c6-5fcd77a1f44f · outbound

This paper cites Hierarchical attention networks for document classification.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Hierarchical attention networks for document classification

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:38.088350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2360c195-4df8-40da-8fad-78c29c9a2e09 · outbound

This paper cites an unresolved cited work.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:43:41.302266Z

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.

Observation 4658d9c5-1daf-4697-a308-3ec93f989f7c · outbound

This paper cites Big Bird: Transformers for Longer Sequences.

Improving the Efficiency of Long Document Classification using Sentence Ranking Approach Big Bird: Transformers for Longer Sequences

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:38.334623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.