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Paper Citation Record · LEDGER

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning

As of 22 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2507.00257.

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

pith.paper-citation-record.v1
2507.00257 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:26:50.484552Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T11:18:08.362562Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:24:38.233306Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact3
  • verified fuzzy14
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48cc3c5a-d787-4b2d-beb1-1ce55e3934ad · outbound

This paper cites Almgren and N.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Almgren and N

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T21:26:51.636091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.249804Z digest=sha256:20099faf2095a90964bdf20c551749fd9758f166d7637ad268810cbd28d9cfbb

Observation a430d080-6929-4277-8d03-620c55e14b90 · outbound

This paper cites Cominola, M.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Cominola, M

Reference 2

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raw_fallback, observed 2026-08-06T21:26:51.618792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.257391Z digest=sha256:5b3c35ec323dc011055abbc3bf2211474b59dd12fe77b259f82022aed12cc613

Observation 78bee795-d947-4528-86ea-9b38ff8845b7 · outbound

This paper cites Crites and A.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Crites and A

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.262566Z digest=sha256:0c04a61a6b7e551ce1e089c115a6a40196aef3e88a384aaad8ce4a9f194a1d45

Observation f54767a7-ef50-4189-83a1-92f684b31fb6 · outbound

This paper cites De Paola, G.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning De Paola, G

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.268973Z digest=sha256:c59b62267c02dc574951c5fa1c38ae4dbc02697aac94b6839a0d48b6148c0ef4

Observation 66dddf44-2a3f-4fb5-9516-549f7878187e · outbound

This paper cites An empirical investigation of the challenges of real-world reinforcement learning.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning An empirical investigation of the challenges of real-world reinforcement learning

Reference 5

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no resolver link, observed 2026-08-06T21:26:50.274555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.274555Z digest=sha256:e6f48e4ded02cd1ea444a057fb0499d2a3cdd6a61ff0bf479056935babf32f6b

Observation 7340a186-6f33-46ec-8fa3-46b720a4e84f · outbound

This paper cites Fioriti, L.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Fioriti, L

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:51.581475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.280330Z digest=sha256:124a8159df74a1e269dd22eec697a4cd7becd3ee20ee76eba1c4374c076d8835

Observation 9b3bfd59-8a0b-4132-9c80-3769d1a968f4 · outbound

This paper cites Historical data mgp, 2015-2020.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Historical data mgp, 2015-2020

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.292895Z digest=sha256:e39aa80bf209f362df9c3d00b80c02aaffa450284d5ac914c619086009a5910f

Observation 5e4da0fe-c495-4ae9-a11f-916a3c69bc33 · outbound

This paper cites Heinsbroek.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Heinsbroek

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.297965Z digest=sha256:efb318f6db722ef34005bc282faadac25d3fbecc32d9831dfb1c74feee331d5d

Observation e95627aa-cdf6-45b9-ab70-6f326cb5440a · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.303528Z digest=sha256:ae39317fb28c105d5fea6b50fd034ca29bbe13d2284b85637c88020f1c9e7f2c

Observation f868fd0b-d0ba-4208-b22a-4a68c184e019 · outbound

This paper cites Kober, J.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Kober, J

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.309265Z digest=sha256:f932d6cd143272ad363c06c0253cdebbe1eeb6c89fbea454cb7956e3777b447d

Observation 74683b03-a222-4f85-aeee-30928c504112 · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.314677Z digest=sha256:4cf96ea8c31b941738e11a1db17745dd937a4c38ecdb00e483694f6ffc54fd47

Observation 2ad99cea-e2e0-49c0-813c-8e9323e3bc14 · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.319648Z digest=sha256:3d4a2845eda7d12464e22caa29ef6ae936d7f120edada3215f45adb5c515d00b

Observation cbf23d95-765c-47bb-90e4-948f8a98c2c5 · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.324445Z digest=sha256:33740e0ed0333f74f2afc4d357eba79b9a89d1f0b1526fcaff8eb0ea34768347

Observation 1e2b5cc4-f607-409e-9b75-7ae79e3b7c9a · outbound

This paper cites Morad, R.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Morad, R

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.332999Z digest=sha256:77bc11d3f6cbe18d1e86e2e8f238b6caf9fb99d75ffe060f349a40e90450919d

Observation b29b730d-fcae-44ef-83a0-8c7a663b81e0 · outbound

This paper cites Murillo, R.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Murillo, R

Reference 15

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verified exact
doi, observed 2026-08-06T21:26:50.578307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.338274Z digest=sha256:35ab3ed94d57551567c753ab5bea5b5984493368183e54c97ad752e4f50540cc

Observation 08db5ed4-9c33-4a76-bbcb-a65d33d1901f · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.344612Z digest=sha256:617a850595b5537e6ac5fcb2237de2c742f00fe06217e062cd4b4ee33984b4b8

Observation 3b7ab271-61ee-4beb-bfac-0942cb723165 · outbound

This paper cites Pfenninger and I.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Pfenninger and I

Reference 17

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no resolver link, observed 2026-08-06T21:26:50.356106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.356106Z digest=sha256:8f11fed5e145846f7b2e60371a2812a4384617d9d724dfa15f96aa20f5be594f

Observation 68c933f3-d290-428e-8072-4f337817ee21 · outbound

This paper cites Raffin, A.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Raffin, A

Reference 18

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raw_fallback, observed 2026-08-06T21:26:51.384301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.361466Z digest=sha256:a39a2e39372cb1cdff33ab9e20ccc2a64e70b7a4c4cc78247b07626743e07888

Observation 2333ba1a-c899-43b5-b43e-d5624736d3e1 · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.367488Z digest=sha256:f1b0aba9922f4ff5dd58e42bd6abf23b4f4e4fffda61c81aad66f1e252a19707

Observation 496f8545-600b-4da8-b3d9-03dfafd91530 · outbound

This paper cites Salaorni.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Salaorni

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.374169Z digest=sha256:e5829bb797e0439974bc62c583e9da9b06683b4bfea998263fe08d3f17da131a

Observation 8683a572-1136-453b-96e3-a060c02ce808 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.379598Z digest=sha256:8895ac69868f20e7ac11d4e66712cf42c413d1e76649dd377cc5e93e910e0d2c

Observation 4bdd3c56-6504-4adc-9e67-71e79856dd77 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 22

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source=pdf_text observed=2026-08-06T21:26:50.384465Z digest=sha256:0e3e97db03d63212ca6fd675b56db12a53a7c7389e2ad86fa48501d3e5152a0e

Observation 5bf54d25-07b0-43df-9743-76fa468cf1e3 · outbound

This paper cites Serrano-Muñoz, D.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Serrano-Muñoz, D

Reference 23

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raw_fallback, observed 2026-08-06T21:26:51.332274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.389501Z digest=sha256:8b92df709dcb434d7f63a983d3580c09458454ef279d790e0621ec1ec8d66cd9

Observation 3311daeb-f0ea-4400-a39f-4b38b59e68e0 · outbound

This paper cites Silver, J.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Silver, J

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.413583Z digest=sha256:02a3d0cc64d2dd616cbe4d18a9fd07b7fcff632d8c7a1a52ff23464a42615cdb

Observation 762db411-db40-4c13-b68d-d05090999ae7 · outbound

This paper cites Staffell, S.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Staffell, S

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.422710Z digest=sha256:7f2e53a6f5fc330d1cd2ff787028892412ff953ff0cfeae496b5522192691e08

Observation 2e2ce509-858d-4813-a8a3-f5a56b3b68dc · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.428605Z digest=sha256:54fcab1a523ac284e184220c55a44724a0077d809628ea5cad5c8bcf05099dab

Observation 4db10d2c-8e60-4fe8-be63-8b2545a45225 · outbound

This paper cites Todorov, T.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Todorov, T

Reference 28

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raw_fallback, observed 2026-08-06T21:26:51.291942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.433473Z digest=sha256:ce3b79c5f7ed8771fa9cb377b1721472e50a57f6b47e9f601e7f570e2d8709cc

Observation 95c13fe3-9866-4c8d-a02e-4958fcfdcdca · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.446883Z digest=sha256:0c2e4ebb301816a4ebfa6516923f448dad6f6713dfebe138eab3fe7fc6a8a001

Observation 1ddd29c7-595a-4871-a7cc-dfaf307b9476 · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-06T21:26:50.451944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.451944Z digest=sha256:33e714592c97650e19a9275c2c0a9eaaa8480f9f9da1f1d8b429672d7c0dfd23

Observation 88635a31-d015-43d6-803d-6638a5523916 · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-06T21:26:51.264350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.457479Z digest=sha256:3dc6477b50808188478bff4fffd65657f8e0e855bc0be04fab5b81bc16d54f04

Observation 972151f7-4f87-42ec-b15d-687a72eebddb · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 32

Resolution
verified exact
raw_fallback, observed 2026-08-06T21:26:50.838661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.462598Z digest=sha256:65555dc8e86e7b1067d5b8dcbe2b92aa5a3143c7ce850988f11f6d35620e344e

Observation e72c8ac2-3d02-4916-8932-c7d6d84bb575 · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 33

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unresolved
no resolver link, observed 2026-08-06T21:26:50.467735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.467735Z digest=sha256:075888fa22a44b2dbbfbceaf3676451431cd644b7a8ee72f68539b35a8544f92

Observation ff0cd167-cae3-4d21-b92b-eb86e658b666 · outbound

This paper cites RRLS : Robust Reinforcement Learning Suite.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning RRLS : Robust Reinforcement Learning Suite

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:26:50.623977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.473222Z digest=sha256:00330b31996866cb250411c50eab1780742556be94f47747cd90cac59232116b

Observation 725f8c2d-6e0d-490c-9aa8-94661606c697 · outbound

This paper cites In the first part of the table, we report the key features of each environment with respect to the standard RL taxonomy.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning In the first part of the table, we report the key features of each environment with respect to the standard RL taxonomy

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:26:51.246680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.478550Z digest=sha256:a7d0bced2ed63a0f51724959a7786465d2767d50bcd725581d746c319b7cc6c9

Observation 818151d5-5c96-4c98-8e94-9c92867cbc20 · outbound

This paper cites This second part of the table describes the RL subfields that can be associated with each environment.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning This second part of the table describes the RL subfields that can be associated with each environment

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-06T21:26:51.230369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:26:50.484552Z digest=sha256:be8bb9cbc3d6365bc120d2712ddf9abd150e759436e056385bead1e14b8f5e89

Observation 9ff70163-979a-42bd-9651-ab352e959976 · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 2012

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no resolver link, observed 2026-08-06T21:26:50.441230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:50.441230Z digest=sha256:960218ce562ff25de4b3d3d47a4a2a81ea6c88de7fce2f45b88a98e56e05f36f

Observation d5e27596-3d6c-4b64-9aa1-59f9f7e7627a · outbound

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

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-06T21:26:50.406662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 12ae9253-5198-4280-9ef2-ce395ea60812 · outbound

This paper cites doi: https://doi.org/10.1016/j.epsr.2021.107675.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning doi: https://doi.org/10.1016/j.epsr.2021.107675

Reference 2022

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T21:26:51.095482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 37f1ef90-859d-4efe-8538-b5b7a4c8107c · outbound

This paper cites an unresolved cited work.

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:26:51.412216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

Observation 03669704-cba0-487b-8fcd-fcd994276a40 · inbound

Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty cites this paper.

Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:13:36.114547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 917681e6-8e0c-4464-a4f1-4f63b0eb0411 · inbound

Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty cites this paper.

Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:24:38.234663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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