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Paper Citation Record · LEDGER

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices

As of 4 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2605.17362.

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

pith.paper-citation-record.v1
2605.17362 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T14:30:41.426236Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T14:30:41.426236Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T14:33:21.503657Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08bcfb83-d12f-4596-bc85-4d0892e4c4d2 · outbound

This paper cites Many large-scale scien- tific simulations—such as structural engineering and computational fluid dynamics—lead to large sparse linear systemsAx=b.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Many large-scale scien- tific simulations—such as structural engineering and computational fluid dynamics—lead to large sparse linear systemsAx=b

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.959815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:6e741d1b187bfbbe3ce86197fe34971ee33aeb4694c044fbf663a2d8ce7aec89

Observation afb37db3-99c3-42d4-b155-c4fa4fa93589 · outbound

This paper cites Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T14:33:21.505187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 1eba3f8b-5c8e-47f2-8a21-175e3de86dea · outbound

This paper cites Experimental Settings As training data, we generate 10,000 symmetric matrices via Delau- nay triangulation [10, 9, 8] with sizesn∈[60,200].

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Experimental Settings As training data, we generate 10,000 symmetric matrices via Delau- nay triangulation [10, 9, 8] with sizesn∈[60,200]

Reference 3

Resolution
malformed identifier
arxiv_id, observed 2026-05-20T14:33:21.502115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:fd06710b847c726ce1126e7f89cfa4faf85f67a6d3f804a4b8fed39a4ccce48e

Observation 9ff21056-6239-49f5-82b9-3b355a3c88ad · outbound

This paper cites an unresolved cited work.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-20T14:33:21.952269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:d6c45da8e9856b464c859e3d29da0100ca514c208a37d4c947677ce6fbfe881d

Observation 90343d10-5d8c-4e44-bde4-c905911d6d00 · outbound

This paper cites 2021YFB0300203.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices 2021YFB0300203

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.954035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:8984e4e1683143f2969f2fc0f9ac2e09fb0788c8311d60e02ff65646ce075ad8

Observation 552e2d2a-cb8d-4001-8434-a91b1478d647 · outbound

This paper cites Wilkinson and C.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Wilkinson and C

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.946625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:adfab4e314f1da6989e5644c0e84874d0a35042153b02b8bd18b56cba9e1c519

Observation 91681fde-6261-43fc-8fd1-8cbea33087bb · outbound

This paper cites Al- gorithmic aspects of vertex elimination.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Al- gorithmic aspects of vertex elimination

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:013a4f42afbb8e8f9e8175da223ecf9bfc7d870e0f3f4d71e146963c28a15e00

Observation 6cf3b2b6-b9b2-4f20-8e3b-7cd4ad9d7437 · outbound

This paper cites Computing the minimum fill-in is np- complete.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Computing the minimum fill-in is np- complete

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.943011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:f19c7dbeefb73965dcc03f2b8ce2f277879a2ada2bfb39ea04d0dfb05e62aadd

Observation e187d442-24a5-4877-a148-d892743e4873 · outbound

This paper cites A graph-theoretic study of the numerical solution of sparse positive definite systems of linear equations.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices A graph-theoretic study of the numerical solution of sparse positive definite systems of linear equations

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.941341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 78ec59f3-0bf8-4878-affa-c1bb0382e770 · outbound

This paper cites An approximate minimum degree ordering algorithm.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices An approximate minimum degree ordering algorithm

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d9a4e4be-404a-48eb-971e-2abe99be58cf · outbound

This paper cites A column approximate minimum degree order- ing algorithm.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices A column approximate minimum degree order- ing algorithm

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.950468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:a763f81cc4c4eec588578268b431a1266fb147faa20639b896ef336b8e964d51

Observation c1ccbded-9666-49f7-a6fc-4bcc00034491 · outbound

This paper cites Nested dissection of a regular finite element mesh.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Nested dissection of a regular finite element mesh

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.955724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:145b02c5e42dc33d92b248b8327cb3885ec0366192aa174c3809253fd3ccd32e

Observation 6993f1d2-e15b-4c5a-880b-bc4e098537b1 · outbound

This paper cites Graph partitioning and sparse matrix ordering using reinforcement learning and graph neural networks.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Graph partitioning and sparse matrix ordering using reinforcement learning and graph neural networks

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.922022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:38225eda46df4a401cae303719e2c5978b967dbd512fe5d0cbdf9ba8113fecd9

Observation 953ea782-f91b-4eed-aa82-32c09e5523dc · outbound

This paper cites Alpha elimination: Us- ing deep reinforcement learning to reduce fill-in during sparse matrix decomposition.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Alpha elimination: Us- ing deep reinforcement learning to reduce fill-in during sparse matrix decomposition

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.924038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:005e4e56498ae02f8a1990d587d0ec9ece142a35bff55ca005bff7d5e349d5b2

Observation f7f658c7-1878-4f88-be25-bd669a977a16 · outbound

This paper cites Learning algebraic multigrid using graph neural net- works.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Learning algebraic multigrid using graph neural net- works

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.957765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:35b5da12292474022432977652dea619662baeb801cfeaf0d2183edb5a426037

Observation 6f8158d2-35b8-44f2-a43a-7b21da13746f · outbound

This paper cites The university of florida sparse matrix collection.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices The university of florida sparse matrix collection

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:9f97dc7250a2ad72aa01d480062f82ec4472774d63242adb0c5b02f0a1048613

Observation 1f928a30-dde9-4585-9195-c688bba5d11d · outbound

This paper cites Liu,Computer Solution of Large Sparse Positive Definite, Prentice-Hall.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Liu,Computer Solution of Large Sparse Positive Definite, Prentice-Hall

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.925811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:ee8703c28e02a623b1cdbeed9fedb58af65b9cf6d589781206162cfc17c488cc

Observation 1cf6cdc5-11fb-496a-95d2-57943445851f · outbound

This paper cites Duff, Albert M.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Duff, Albert M

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:002e155bba8c302f3b99c0b926c42f09131d8aa6eea6f4e961facd51242caf7f

Observation 101599be-cb74-499f-9d39-7ed5840df437 · outbound

This paper cites Davis, Sivasankaran Rajamanickam, and Wis- sam M.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Davis, Sivasankaran Rajamanickam, and Wis- sam M

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.963655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:2c65342219cba8d2d7ea48a2cc12936b88fc1a180309af90e28f513bd8868179

Observation 175f636d-730b-48a0-8014-b0f4a9eee4cf · outbound

This paper cites The role of elimination trees in sparse factoriza- tion.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices The role of elimination trees in sparse factoriza- tion

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.961829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:0d62c87160f8f579debd188d82e9ff0012a3d5a69a7344ee7f5b56c5bb12faae

Observation 84f6c334-0b18-45c5-ab12-8d56805e051f · outbound

This paper cites Collec- tive influence algorithm to find influencers via optimal perco- lation in massively large social media.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Collec- tive influence algorithm to find influencers via optimal perco- lation in massively large social media

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.933478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:b3c405cd6a0d387466a8bc1e561a5c9ec10337337228a647560cd73204ad5661

Observation 894b4004-1cef-4d46-840b-afdbd8b84adc · outbound

This paper cites Mixhop: Higher-order graph con- volutional architectures via sparsified neighborhood mixing.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Mixhop: Higher-order graph con- volutional architectures via sparsified neighborhood mixing

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.929517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:06925c0c5b2d5065d4ae3c018a980f987219f9102e3a981cf94191e4b9b14e2b

Observation 490566fb-7593-4497-ba65-0909bf62f2a3 · outbound

This paper cites Metis, a software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reduced orderings of sparse matrices.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Metis, a software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reduced orderings of sparse matrices

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.927680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:7234f0766d1e6fe01999b4dab8390feb3c8c90883ed6c571cb40cc1c6219482f

Observation 24196a18-858e-4a52-a88a-ed8856177819 · outbound

This paper cites An overview of superlu: Algorithms, implementa- tion, and user interface.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices An overview of superlu: Algorithms, implementa- tion, and user interface

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.935301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:4eca5d6702d3f232beff92d86dea8aafd9875015fae2bafd56a0286b408c770f

Observation 8096fedb-ac2a-411a-94fa-cc13510a4f0b · outbound

This paper cites Inductive representa- tion learning on large graphs.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Inductive representa- tion learning on large graphs

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T14:33:21.937119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:96c808eb1e57580c25a05e79086815d56bd3efe7c2ecbba474b5444feaa660cc

Pith citing papers

Observation afb37db3-99c3-42d4-b155-c4fa4fa93589 · inbound

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices cites this paper.

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T14:33:21.505187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:30:41.426236Z digest=sha256:78ed708c418f1af88b0a18681d6db2372524d35d2f0e10ebb5a814634fdb0b2a