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Paper Citation Record · LEDGER

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2502.04402.

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

pith.paper-citation-record.v1
2502.04402 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:33:49.301742Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

41 of 41 outbound references displayed

  • verified exact6
  • verified fuzzy5
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb317d37-040b-4e5e-a631-44c59692e553 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks , " * write output.state after.block = add.period write newline

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 4c98273f-6777-426d-8112-d47ea995df26 · outbound

This paper cites write newline.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks write newline

Reference 2

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source=arxiv_source observed=2026-08-09T00:33:49.148550Z digest=sha256:ef3512db8f5e2f1ea6fa95acd8bc3c7b5e8188770072e31adc8160ca6b73f575

Observation d85a72d5-788f-4e27-b3a2-fcc09d5706b7 · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bcd01599-9522-4ee4-b132-78e8e51b5f86 · outbound

This paper cites S.; Courville, A.; and Bellemare, M.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks S.; Courville, A.; and Bellemare, M

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T00:33:49.156840Z digest=sha256:712381ddb7cf014675589c867668a420632dae917cfd6746f2b3020009caca90

Observation 029573a3-5670-4837-b3cf-90a752344774 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Relational inductive biases, deep learning, and graph networks

Reference 5

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source=arxiv_source observed=2026-08-09T00:33:49.160714Z digest=sha256:d5260d30a5df3d7ec5473f563458982342f460016155484a7cd465eda34d70b2

Observation 496109ba-a8a9-4929-ac51-ef4bd7e5be26 · outbound

This paper cites G.; Naddaf , Y.; Veness , J.; and Bowling , M.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks G.; Naddaf , Y.; Veness , J.; and Bowling , M

Reference 6

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source=arxiv_source observed=2026-08-09T00:33:49.164915Z digest=sha256:16294775e85b4b440595774689d0e0e0a4bffcc2f99844361c250ba001eedcd6

Observation 9e5bd35e-40fb-445d-b0db-19d27bcafcbe · outbound

This paper cites On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods

Reference 7

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local_arxiv, observed 2026-08-09T00:33:49.568209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T00:33:49.168692Z digest=sha256:2d7829b928f77ea98f99e874c80dcf74e166e722836b468584167ad8c68f537a

Observation 0596f00e-5b4f-483b-9c2b-e3c84febd84d · outbound

This paper cites Combinatorial optimization and reasoning with graph neural networks.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Combinatorial optimization and reasoning with graph neural networks

Reference 8

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source=arxiv_source observed=2026-08-09T00:33:49.172747Z digest=sha256:d273aa1ae93e11949b0598cccff3588eee9152d08cde2fcbc1ed719ca9ce172e

Observation 98d0c9cf-0cd5-42e2-9bf1-d231df33c05c · outbound

This paper cites H.; Leiserson, C.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks H.; Leiserson, C

Reference 9

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source=arxiv_source observed=2026-08-09T00:33:49.176816Z digest=sha256:329d4829685f37b4b542d4e86de06b22ee932da92b717ce6260db3ef0c5b7acf

Observation 76f406df-4b0d-443c-9f19-65b35603cbe3 · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 10

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Observation 60f68091-157a-4641-9e85-d3f2f5baf0f0 · outbound

This paper cites Learning Combinatorial Optimization Algorithms over Graphs.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Learning Combinatorial Optimization Algorithms over Graphs

Reference 11

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Observation 9cfc520a-3d9c-4f82-b6b4-12c9a54cfd46 · outbound

This paper cites PUZZLES: A Benchmark for Neural Algorithmic Reasoning.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks PUZZLES: A Benchmark for Neural Algorithmic Reasoning

Reference 12

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source=arxiv_source observed=2026-08-09T00:33:49.187938Z digest=sha256:f3abf2fcea75b7ea85f911b8107e81946c51672c7754551c861081a0c72cf3db

Observation 86285e01-df4a-43a9-a1d7-4c7f84c55024 · outbound

This paper cites L.; Sutton, R.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks L.; Sutton, R

Reference 13

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T00:33:49.191879Z digest=sha256:f956ba8f706fd9248db5e877e70fab113ae022bbfe36cff5db639fcaadb5cddb

Observation a1cdf96e-43af-4543-893d-2b31e855c325 · outbound

This paper cites Deep Reinforcement Learning from Self-Play in Imperfect-Information Games.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

Reference 14

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Observation 4d265c29-5e13-4825-8e70-6108a75a45b1 · outbound

This paper cites A Generalist Neural Algorithmic Learner.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks A Generalist Neural Algorithmic Learner

Reference 15

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Observation 653a1aaa-c6b9-4057-a9f4-0341e8171559 · outbound

This paper cites Triplet Edge Attention for Algorithmic Reasoning.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Triplet Edge Attention for Algorithmic Reasoning

Reference 16

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 859fa45f-a084-4c74-99fa-0729b96d9639 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 18

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Observation b7cafe0c-472b-4bc1-957f-a5ba08665b8f · outbound

This paper cites Giraffe: Using Deep Reinforcement Learning to Play Chess.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Giraffe: Using Deep Reinforcement Learning to Play Chess

Reference 19

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Observation 28893af5-73fc-49bb-8b6f-0c88bb60d7d1 · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 20

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Observation 015883ea-5276-435d-8f02-0f1cd7abac07 · outbound

This paper cites The CLRS-Text Algorithmic Reasoning Language Benchmark.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks The CLRS-Text Algorithmic Reasoning Language Benchmark

Reference 21

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Observation 3a384481-4cc8-4f90-9813-3bc9dd1df4dd · outbound

This paper cites SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning

Reference 22

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Observation 9682ddff-7410-4b57-93b9-ea04b328e493 · outbound

This paper cites Towards Principled Graph Transformers.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Towards Principled Graph Transformers

Reference 23

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Observation 363e7ece-bfb0-488c-aa90-e27a8202b384 · outbound

This paper cites Dual Algorithmic Reasoning.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Dual Algorithmic Reasoning

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 72215da9-5778-4441-9d1e-712d6b975b32 · outbound

This paper cites T.; Burch, N.; Anthony, T.; et al.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks T.; Burch, N.; Anthony, T.; et al

Reference 25

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source=arxiv_source observed=2026-08-09T00:33:49.233136Z digest=sha256:cb08f3fc1664d893f6c9398cf30a78e115c2f420e9236911b265035c31c08f79

Observation 597d5efc-c4c0-45a7-948a-506962a617bd · outbound

This paper cites C.; Hagenbuchner, M.; and Monfardini, G.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks C.; Hagenbuchner, M.; and Monfardini, G

Reference 26

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Observation 086352e2-8278-4a54-b369-9fdc69bc4cb3 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Proximal Policy Optimization Algorithms

Reference 27

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Observation cbdb6e94-82d2-4382-b665-6cd177ea8fd0 · outbound

This paper cites Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks

Reference 28

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Observation 6457ff26-72a9-4ecd-a475-17a289a42fb0 · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 29

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Observation e3f38b74-f831-47e1-a2a6-91f7c19c4fca · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 30

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Observation d25ab740-4811-4ab4-a5f2-099b643d71f8 · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 31

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Observation e76a28c7-7870-4b57-85e2-d7e0e45f112a · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 32

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Observation a1647362-4538-4822-b110-badf595fdf9e · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-09T00:33:49.262464Z digest=sha256:a29511713bc634f3f092339c42634cfe7ecefa53454357577dc737657798ef49

Observation a1147186-b5c5-462f-a84e-49cab237d582 · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T00:33:49.266064Z digest=sha256:dd43d5bf0bfbbab92866c04f22e56b96edc085be2b07de7ae6e2a1618a77877f

Observation 00e28f62-16b6-4ad6-a366-89470f1143e3 · outbound

This paper cites One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

Reference 35

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local_arxiv, observed 2026-08-09T00:33:49.372160Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T00:33:49.269956Z digest=sha256:86c5593b1c5eb8d9c7de4e7001e9172ec54473bbf53c61e6f60bbb1b06328cbe

Observation 5846dc7f-5be9-4f83-9ff5-2609ca0b0747 · outbound

This paper cites N.; Kaiser, L.; and Polosukhin, I.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks N.; Kaiser, L.; and Polosukhin, I

Reference 36

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raw_fallback, observed 2026-08-09T00:33:49.622853Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T00:33:49.280070Z digest=sha256:62adc351df0bcf58477b63d0fede4324aaed4a87b85db0f34cad6aa1ffcbe358

Observation 5ee2d92b-93cd-4a73-82cc-96f8477c8c47 · outbound

This paper cites P.; Budden, D.; Pascanu, R.; Banino, A.; Dashevskiy, M.; Hadsell, R.; and Blundell, C.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks P.; Budden, D.; Pascanu, R.; Banino, A.; Dashevskiy, M.; Hadsell, R.; and Blundell, C

Reference 37

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raw_fallback, observed 2026-08-09T00:33:49.611681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T00:33:49.283686Z digest=sha256:cd228ec9eaa5f7a0263c3dd08cf6e63b49a2f0af1d340598a59d6105f284307d

Observation f7fd873b-881b-40b8-9e82-114eaefe5fe0 · outbound

This paper cites Graph Attention Networks.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Graph Attention Networks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T00:33:49.287158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:33:49.287158Z digest=sha256:661e763f5791dc2ab9d9d95f6cff0f44a42f89caf8005b025a0c60ded162c4b3

Observation 98871e03-b67f-4450-9f22-c18f748b9fd3 · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:33:49.600646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T00:33:49.291022Z digest=sha256:5efd9a780ee8edfb669e627b58f83fde434eebc7ec1a463a613243884ca83c52

Observation 0bf1cd6e-5f87-402b-a202-4045dcd6352e · outbound

This paper cites How Powerful are Graph Neural Networks?.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks How Powerful are Graph Neural Networks?

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T00:33:49.294384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:33:49.294384Z digest=sha256:e0a6b37d860dbcfa0b76eee1ed598a58884e073e272d9402e159cc7261590560

Observation a2e8d594-2d08-4242-b589-9fd0748c403e · outbound

This paper cites How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T00:33:49.298172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:33:49.298172Z digest=sha256:663d2e6b2f530532ebc6106c96cea62e2548a36a486466af6e0546d835d663f5

Observation dc6898f5-6837-4732-85ec-0aba76702de4 · outbound

This paper cites an unresolved cited work.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:33:49.590070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T00:33:49.301742Z digest=sha256:cd45cec1aa02365e3b8917e6e9fdc87c3d2eb389b432d8d67c8917a05285c1b6

Pith citing papers

No inbound Pith citation observations are available.