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Paper Citation Record · LEDGER

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.22644.

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

pith.paper-citation-record.v1
2607.22644 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:13:34.225362Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

28 of 28 outbound references displayed

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  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 908d6c08-f856-45d2-8941-58d5376725e7 · outbound

This paper cites 2015 13th international conference on document analysis and recognition (ICDAR) , pages=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification 2015 13th international conference on document analysis and recognition (ICDAR) , pages=

Reference 1

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source=arxiv_source observed=2026-08-02T10:13:30.531190Z digest=sha256:ff904aad0fab96929e60a4ce9fe38fc51c3824122d1b353bfd91b03ab9fb0251

Observation a4e48e41-6b67-4219-8c84-1fa085dde518 · outbound

This paper cites 2015 13th international conference on document analysis and recognition (ICDAR) , pages=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification 2015 13th international conference on document analysis and recognition (ICDAR) , pages=

Reference 2

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source=arxiv_source observed=2026-08-02T10:13:30.686043Z digest=sha256:6a0cbb32c00d97d8faf237ba2cb8b383ffb9d65bfe0ad2360e50abe1dfc059c5

Observation 1d9dd619-ff31-41df-87f5-41c7b7939b65 · outbound

This paper cites 2017 14th IAPR international conference on document analysis and recognition (ICDAR) , volume=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification 2017 14th IAPR international conference on document analysis and recognition (ICDAR) , volume=

Reference 3

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source=arxiv_source observed=2026-08-02T10:13:30.855053Z digest=sha256:d085af2fa1c96d2919c11d160b4b49c6886cdf7a220dcb4016b64e307fe038c2

Observation bce3eb2a-6975-408f-8c52-a00cb3965e8d · outbound

This paper cites Joint European conference on machine learning and knowledge discovery in databases , pages=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Joint European conference on machine learning and knowledge discovery in databases , pages=

Reference 4

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no resolver link, observed 2026-08-02T10:13:31.036038Z

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source=arxiv_source observed=2026-08-02T10:13:31.036038Z digest=sha256:d9b5acc078692b7cc404152c8e5e4d83db28871b7b77c35c7410ed56e15f5ceb

Observation 2375950f-5215-43d5-a145-f361b7064b65 · outbound

This paper cites Ninth international conference on document analysis and recognition (ICDAR 2007) , volume=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Ninth international conference on document analysis and recognition (ICDAR 2007) , volume=

Reference 5

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source=arxiv_source observed=2026-08-02T10:13:31.210345Z digest=sha256:871b60dfc967800317ff8135da52aec2fa1dd4d078747b8a543f5859795c05b9

Observation 428e5325-68bb-43f7-a5d3-de637f755e0a · outbound

This paper cites ACM Computing Surveys (CSUR) , volume=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification ACM Computing Surveys (CSUR) , volume=

Reference 6

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source=arxiv_source observed=2026-08-02T10:13:31.384074Z digest=sha256:b0a9db401777566d84582765b0235bfaefa055d439849b1ca5d617044dc5bfee

Observation b3f9c484-11bf-4bf6-b90e-6c6232a47d72 · outbound

This paper cites DocBERT: BERT for Document Classification.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification DocBERT: BERT for Document Classification

Reference 7

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source=arxiv_source observed=2026-08-02T10:13:31.544769Z digest=sha256:3549ebbbb66d1ef5ce1b4c0ec7318f718e36ac977a5e3d9547f73747cf1145c8

Observation 8ab05c78-f2c9-4253-999a-ef042fcb66bb · outbound

This paper cites International conference on machine learning , pages=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification International conference on machine learning , pages=

Reference 8

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source=arxiv_source observed=2026-08-02T10:13:31.676756Z digest=sha256:d5e79a6ce6567f5daa91a87a800c31ffa228978a14a58f09c9ba04c63fc28ec5

Observation 435b216e-b74e-4a0e-8463-5650fbc5c7cc · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 9

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source=arxiv_source observed=2026-08-02T10:13:31.808569Z digest=sha256:b9c2dc98a436031ec2dc5f77b0c0d2ef46b6679da9fddd90581d6ca990899592

Observation b9b65cb5-f1c9-44e1-9636-4d1f523d0919 · outbound

This paper cites International Conference on Computational Science , pages=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification International Conference on Computational Science , pages=

Reference 10

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source=arxiv_source observed=2026-08-02T10:13:31.981989Z digest=sha256:46ae7c791c6ab094263607bd4189b79876ffbf976900f2e15bf55976b3d685cb

Observation e77359bd-324d-478b-8c50-164c646487be · outbound

This paper cites an unresolved cited work.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-02T10:13:32.099739Z digest=sha256:9b6a79ae6ff23e925eb60df2bb9383e3d0689effad0c10a3fac9f5be82219f70

Observation 8fc1589e-74a3-46e1-a928-3dbc6d660c35 · outbound

This paper cites 2022 26th International Conference on Pattern Recognition (ICPR) , pages=.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification 2022 26th International Conference on Pattern Recognition (ICPR) , pages=

Reference 12

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source=arxiv_source observed=2026-08-02T10:13:32.204451Z digest=sha256:a3da0a41bba4a9dd3b18a284a48188e3783564bd8acf7a493ce87adf9b3dbe02

Observation cd1c42e6-944d-404b-98e9-d377bed3095c · outbound

This paper cites Proceedings of the European Conference on Computer Vision (ECCV) , year =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Proceedings of the European Conference on Computer Vision (ECCV) , year =

Reference 13

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source=arxiv_source observed=2026-08-02T10:13:32.314023Z digest=sha256:97c46765cd9ebc6c6ad79109028eedb316e09e3d8b714ed8c820e876c0c79cbc

Observation 9b4a8039-0f48-4a6c-a49a-0a4d2e4abd39 · outbound

This paper cites Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) , year =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) , year =

Reference 14

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source=arxiv_source observed=2026-08-02T10:13:32.421252Z digest=sha256:33e5b76713df7d3c64e62b15fc023f4a63b1f4799727a417a5b4cc2983afaeb6

Observation 95ed4ab2-0185-499d-a759-7f8b53379d98 · outbound

This paper cites Barto and Sridhar Mahadevan , title =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Barto and Sridhar Mahadevan , title =

Reference 15

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source=arxiv_source observed=2026-08-02T10:13:32.523690Z digest=sha256:2c5b846b9de05a44197ebe82b4f8c0704ea3ec9247578627a95db1ab3ed4ac76

Observation e2ca5850-4066-4443-92f3-4169d1b8883b · outbound

This paper cites Sutton and Doina Precup and Satinder Singh , title =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Sutton and Doina Precup and Satinder Singh , title =

Reference 16

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source=arxiv_source observed=2026-08-02T10:13:32.599235Z digest=sha256:2425094dda1dfac08734e4381742b2d5201d77034356ab2b1eb405e7f33d303a

Observation acf40c96-889d-4365-81e3-158a6ae80825 · outbound

This paper cites an unresolved cited work.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-02T10:13:32.675476Z

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source=arxiv_source observed=2026-08-02T10:13:32.675476Z digest=sha256:7269ee5873d668bf893cc10f597dddc5e771fc209ac56748e69ba9cb45e1b123

Observation d0f1b11b-8172-4c74-97c3-2d554a5e2516 · outbound

This paper cites CVPR , year =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification CVPR , year =

Reference 18

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source=arxiv_source observed=2026-08-02T10:13:32.764482Z digest=sha256:b8c45d3c09db7dfc2b8d0779f9bce2f824621fc55889a2120b740573670d700b

Observation 5cdafc33-0e87-4711-94f9-a79748d52a51 · outbound

This paper cites Le , title =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Le , title =

Reference 19

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source=arxiv_source observed=2026-08-02T10:13:32.868704Z digest=sha256:4fc1f6401ebe516445dd02bfc6318e060d8a92308c8fa651fa17072d33ed5e21

Observation f318f4d5-db27-4a24-9275-49e9ecf1a462 · outbound

This paper cites ICCV , year =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification ICCV , year =

Reference 20

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source=arxiv_source observed=2026-08-02T10:13:32.940787Z digest=sha256:8437ffcc637555786a6582cc81a2d1be9c40573ff74e84c4a76ca8ded9b7ece1

Observation 87eee5b6-4517-4638-829b-d400317b6eec · outbound

This paper cites Proximal Policy Optimization Algorithms.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Proximal Policy Optimization Algorithms

Reference 21

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source=arxiv_source observed=2026-08-02T10:13:33.051354Z digest=sha256:0e79fad5db166c7a9722a414db347b075f62656e5c6b749f631317bf3c8e6efd

Observation 97465d93-9372-4786-beee-ffbf12478477 · outbound

This paper cites Proximal Policy Optimization Smoothed Algorithm , journal =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Proximal Policy Optimization Smoothed Algorithm , journal =

Reference 22

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source=arxiv_source observed=2026-08-02T10:13:33.225349Z digest=sha256:00d4c73de65659abc9c75c97c1ffd6a65c4e647b34e8cd13d98ca01f87a00ec2

Observation 735d4061-f10c-4437-8256-e32f7d14ac6f · outbound

This paper cites Neural Processing Letters , volume =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Neural Processing Letters , volume =

Reference 23

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source=arxiv_source observed=2026-08-02T10:13:33.430438Z digest=sha256:b94e3b9878e73f35a1b601cd3d87ef2ccdcc4fbb1f4d86d6363acb51b62bc2c3

Observation 9d9ddae1-52aa-47a8-a302-d593a7d88e87 · outbound

This paper cites Soft Adaptive Policy Optimization.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Soft Adaptive Policy Optimization

Reference 24

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source=arxiv_source observed=2026-08-02T10:13:33.588899Z digest=sha256:8c4f4100a1df9fa8b5e71ef77bbb82da0f2986bce96c53467e5c95bf8a435da5

Observation c2ef33be-0b3f-46c7-8cee-78ffd127024f · outbound

This paper cites arXiv preprint arXiv:2509.21282 , year =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification arXiv preprint arXiv:2509.21282 , year =

Reference 25

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source=arxiv_source observed=2026-08-02T10:13:33.716383Z digest=sha256:28368dc0ebdbf2c67d834c03b88821191404cd0a5dcf486932833b1e9f09272a

Observation 3151ae6e-7660-4183-8154-ff1c2474c2b4 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 26

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source=arxiv_source observed=2026-08-02T10:13:33.889687Z digest=sha256:62d81cf899cb819d2b5f16f4a302795c1e350a21239482b75e7f01e6dbca1d88

Observation 31bd682f-f001-46af-9bbc-98d836ae54ba · outbound

This paper cites Mastering Diverse Domains through World Models.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification Mastering Diverse Domains through World Models

Reference 27

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source=arxiv_source observed=2026-08-02T10:13:34.030240Z digest=sha256:f30e0e6560f4848174f4e3bbeef6f333f1e37855db69d1cbbf05b10a341607df

Observation e5e5ee07-57a8-490e-a65d-05d3cca576b4 · outbound

This paper cites OpenReview , year =.

DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification OpenReview , year =

Reference 28

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source=arxiv_source observed=2026-08-02T10:13:34.225362Z digest=sha256:982fef57e76cc7ecc0c57176cef86356c02f1fb10b6059eda8a652cc9164f119

Pith citing papers

No inbound Pith citation observations are available.