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Paper Citation Record · LEDGER

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.05416.

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

pith.paper-citation-record.v1
2607.05416 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T12:37:04.098637Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 exact0
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 136c5f59-1707-4238-87d2-f25e701664a4 · outbound

This paper cites Text classification: How machine learning is revolutionizing text categorization.Information, 16, 2025.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Text classification: How machine learning is revolutionizing text categorization.Information, 16, 2025

Reference 1

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:192a1bb0ecd71ecf7a1d51cd54f17334bbb3f07d11187fdd1357837db44182e6

Observation 4c8d7c8f-be96-4784-ab80-bf6b6fbed087 · outbound

This paper cites A survey on text classification: From traditional to deep learning.ACM Transactions on Intelligent Systems and Technology (TIST), 13(2):1–41, 2022.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective A survey on text classification: From traditional to deep learning.ACM Transactions on Intelligent Systems and Technology (TIST), 13(2):1–41, 2022

Reference 2

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:2f60e659a871f53ef53d25a25abdd6e39e19427f574d2daeabaef15fc5fca1d0

Observation d1581d29-94a0-46d3-8b3c-10308ae3d500 · outbound

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

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 3

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:17228f6934da41692049cd95b167885e6a9d3dcc0fea32a646d017c9738f0542

Observation 79054340-fbce-435c-b4db-35fbc529792a · outbound

This paper cites A survey on few-shot learning in natural language processing.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective A survey on few-shot learning in natural language processing

Reference 4

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:1dab20a85b4bd3661439cb368de4da79b798904d3d43011c4dfaf05721368124

Observation f647720d-9d61-4bf6-9eea-ae93e8761fdf · outbound

This paper cites Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation

Reference 5

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:abd38a1037c315a35cf1e1626591e90cf414583c9c12b1f6a799d5d71cadf1e4

Observation 053743e5-ec2e-459a-860d-6e9d922eb7e2 · outbound

This paper cites Multi-schema prompting powered token-feature woven attention network for short text classification.Pattern Recognition, 156:110782, 2024.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Multi-schema prompting powered token-feature woven attention network for short text classification.Pattern Recognition, 156:110782, 2024

Reference 6

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:2c8b0a2437ca425c0db66e830f7a193fbf1473c6fb66714949dbb702f6c7db23

Observation 602a6795-66d2-40d7-bec5-cebf6cd2e574 · outbound

This paper cites Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

Reference 7

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:98db54533a0da0a8779705fed493eb581de9e8ba794c9dbc3ef4ea6ec2af68f6

Observation 242c121b-186a-4afc-a370-3e022649ac33 · outbound

This paper cites Glove: Global vectors for word representation.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Glove: Global vectors for word representation

Reference 8

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:80717c9a5219ddce88c3db21651c43666123cc2cf1446d268ecad6b47a03c9fa

Observation 0593c88f-b95e-42ee-ab6e-c930f73999be · outbound

This paper cites Language modeling is compression.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Language modeling is compression

Reference 9

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:e5c485030ec490c033eebb7000fe0f49d5ba9f1cc2c9154ac869d548b7616a4c

Observation b9ad47d8-5109-4a95-95b0-bd1a072789d7 · outbound

This paper cites Using compression-based language models for text categorization.Language modeling for information retrieval, pages 141–165, 2003.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Using compression-based language models for text categorization.Language modeling for information retrieval, pages 141–165, 2003

Reference 10

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:49e18cb770dea2289cf2ef39cb1c3dd6358e2593eefd508846cd30c94cc8dea5

Observation 91131746-4d9d-4513-8cfd-d9419610b792 · outbound

This paper cites low-resource.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective low-resource

Reference 11

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:eb6762e533d08880445995f121b3c3682cb3c4cc920e9a24c77b549b2057a316

Observation d074cc79-f319-4bea-9bfa-b8dfaf21a4cb · outbound

This paper cites An adaptive mutual k-nearest neighbors clustering algorithm based on maximizing mutual information.Pattern Recognition, 137:109273, 2023.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective An adaptive mutual k-nearest neighbors clustering algorithm based on maximizing mutual information.Pattern Recognition, 137:109273, 2023

Reference 12

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:8f831bd70e7e7a9b9b366ff2e31180cd282542c517ae2013a636cef5548cfb03

Observation b51af9b0-fb1c-47a1-bc1a-73ae6d8c1a36 · outbound

This paper cites On tables of random numbers.Sankhy ¯a: The Indian Journal of Statistics, Series A, pages 369–376, 1963.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective On tables of random numbers.Sankhy ¯a: The Indian Journal of Statistics, Series A, pages 369–376, 1963

Reference 13

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:ec5957f07ae5061dc3837969c129a68b7d3a95eed2bdffa2f715f186865dd725

Observation 5ba5eb15-fc78-4d90-989b-4c786cd95451 · outbound

This paper cites Bennett, P.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Bennett, P

Reference 14

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:3bd3ff8d40da0ba258ca5cdb9743abde37f0e132ce18369732182e588f6e353a

Observation 380244c0-01b0-46cf-bd81-02b297691516 · outbound

This paper cites an unresolved cited work.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Unresolved cited work

Reference 15

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:3d530ff2bf9a43ec07a8e98c313d15890228292ccf9b47f572e5a02e92b11132

Observation 6a09fc83-0b29-4232-befb-362a22666d30 · outbound

This paper cites Cilibrasi and P.M.B.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Cilibrasi and P.M.B

Reference 16

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:95e0e96b90b50adfa9fa83d13141a733898c76a4971b20fc6b1937c29dd030b7

Observation 10542d26-8277-42ed-82c0-0e9ce50706c1 · outbound

This paper cites Measurement of text similarity: a survey.Information, 11(9):421, 2020.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Measurement of text similarity: a survey.Information, 11(9):421, 2020

Reference 17

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:87da51b2a41c19c7868cf72f31a7235b910b6d19a4fb1ce8cde69ec085017515

Observation f6f434a5-f85d-4dd3-8af1-3f67fc0714b2 · outbound

This paper cites Ladderpath approach: how tinkering and reuse increase complexity and information.Entropy, 24(8):1082, 2022.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Ladderpath approach: how tinkering and reuse increase complexity and information.Entropy, 24(8):1082, 2022

Reference 18

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:95f0dfac688517a78e8e1e386dad9a3a6c1337c776bec25613325a526b925fb3

Observation 5794e233-dcb5-4222-a6fe-2987ce0b90e2 · outbound

This paper cites Exploring and mapping chemical space with molecular assembly trees.Science Advances, 7(39):eabj2465, 2021.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Exploring and mapping chemical space with molecular assembly trees.Science Advances, 7(39):eabj2465, 2021

Reference 19

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:52767980c6e2f4136e32bd6b46d979e99b803c9965f985b741d23e04029c34a4

Observation 45a1026f-f496-4142-8c35-d7b9ce51e630 · outbound

This paper cites Evolutionary tinkering enriches the hierarchical and nested structures in amino acid sequences.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Evolutionary tinkering enriches the hierarchical and nested structures in amino acid sequences

Reference 20

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:ee4ea0c11ffa3483ca5fe1ea4fcd05f13bd622db8f5cb1c870308b3beff13072

Observation 9021aa4e-c04c-4023-b95a-497aa65ff862 · outbound

This paper cites Towards parameter-free data mining.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Towards parameter-free data mining

Reference 21

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:35bcd41ebba63917dee3e3b93a5dda2c1af5d2f9e02450e6c93c3b9085f234fe

Observation 87628682-c85c-4dc1-96f5-83420e9ab28d · outbound

This paper cites Evolution and tinkering.Science, 196(4295):1161–1166, 1977.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Evolution and tinkering.Science, 196(4295):1161–1166, 1977

Reference 22

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:3531f761f8f3c82ac3e9a1b5d55ed692ef95e3627380902b4c0f6ca717c6f33e

Observation 8f416540-f1ef-4f6e-a191-05ed944945e8 · outbound

This paper cites Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution

Reference 23

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:a29b3fbecad04ca3e1f74128ea34919edbe6775be7cda6a0dd1618aab63bc71e

Observation c3682e8b-6baa-4077-81c9-debdc3f15ba8 · outbound

This paper cites An algorithmic information calculus for causal discovery and reprogramming systems.Iscience, 19:1160–1172, 2019.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective An algorithmic information calculus for causal discovery and reprogramming systems.Iscience, 19:1160–1172, 2019

Reference 24

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:5a9bd7bc7dc09209ea31864d26cc3ba7e5490cbe52a02d5e27543fb6db422b44

Observation a6ffabbb-d1e6-435d-a76f-8a42a06a61c7 · outbound

This paper cites Correlating measures of hierarchical structures in artificial neural networks with their performance.npj Complexity, 1(1):15, 2024.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Correlating measures of hierarchical structures in artificial neural networks with their performance.npj Complexity, 1(1):15, 2024

Reference 25

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:3c963bc00feedfcc926873ae53d537c9242f5ed20a6759985a495a677b8b2e3c

Observation b372608d-c213-401a-87a4-2d2e40eb0346 · outbound

This paper cites an unresolved cited work.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Unresolved cited work

Reference 26

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:1b7296cf313d4a36536f46b30b5a3b5caa0d2fe20924d494158269a1aa4ed8eb

Observation 9b86f707-5e5d-4239-82a9-1d619b00d8c2 · outbound

This paper cites Measures of the amount of ecologic association between species.Ecology, 26(3):297–302, 1945.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Measures of the amount of ecologic association between species.Ecology, 26(3):297–302, 1945

Reference 27

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:410fe3a73a758c832a2cd4273b871aebc3957e6dd30e6e85f44b3832d607fe59

Observation 1a811e37-b75a-4b72-a116-6bba37544634 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 28

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:f4f64822efe7097332c768c2a9fe02dcc69c238971051ad1d50be1d762492664

Observation ef68d755-5668-44f6-9f32-24be22e81930 · outbound

This paper cites Dice Loss for Data-imbalanced NLP Tasks.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Dice Loss for Data-imbalanced NLP Tasks

Reference 29

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:3a0d4335b1f6b3c22e01d62cf466ed38707787ec654781d500def2b7590ff7f6

Observation ec3c6357-6e53-466a-a4e2-4953864c7657 · outbound

This paper cites Gzip versus bag-of-words for text classification.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Gzip versus bag-of-words for text classification

Reference 30

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:a59e411968b71624c4e84237f79180b4678b08c17ede8f42b2be17ea4a6e0116

Observation 8f1c2c0d-d63f-4b0e-9057-b1f6f26127db · outbound

This paper cites Guiding prototype networks with label semantics for few-shot text classification.Pattern Recognition, 164:111497, 2025.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Guiding prototype networks with label semantics for few-shot text classification.Pattern Recognition, 164:111497, 2025

Reference 31

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:6926c25fe2534a4b92aad15a5560c0b36811b5cecc657c34fbc85d51a3670577

Observation 63a5233d-0e97-4f6b-9bbb-04f18b846c10 · outbound

This paper cites Lossless data compression by large models.Nature Machine Intelligence, pages 1–6, 2025.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective Lossless data compression by large models.Nature Machine Intelligence, pages 1–6, 2025

Reference 32

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:84f86cb3c7ca1214db98fd44a2d0f6c7ef5b57628a3838993a13509331b3f82e

Observation 15b19b0b-a653-4aac-84a8-bff5ffa13402 · outbound

This paper cites ABCDBCDBCDCDEFEF.

Text Distance from Nested and Hierarchical Repetitions: A Compression-Based Perspective ABCDBCDBCDCDEFEF

Reference 33

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source=pdf_text observed=2026-07-12T12:37:04.098637Z digest=sha256:7b1169050ce41fa037de4fcd81a1e79659956217c62fa7eb994e9cb9e27c25ca

Pith citing papers

No inbound Pith citation observations are available.