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Paper Citation Record · LEDGER

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2505.10010.

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

pith.paper-citation-record.v1
2505.10010 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:22:16.177487Z

measured 44 of 44 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T04:01:31.928056Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:51:30.641060Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f743604-27f1-41ba-8b19-a8aba4033be0 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.729635Z

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=arxiv_source observed=2026-08-15T21:22:16.012007Z digest=sha256:67a767cd938c12b6e7bcd31272e59573102b4c8a10e241e6f4d851d102633d69

Observation b187e487-1d3b-47ae-8d52-c89fead7a742 · outbound

This paper cites OpenAI Gym.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts OpenAI Gym

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:16.017057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:22:16.017057Z digest=sha256:165516fccf14f7ccbcb8da54a0f57405ded5a66b4b6daf2a6a19602564d942d1

Observation 1e510c66-52ab-4ea7-8a57-8adc8a8fc99a · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.717923Z

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=arxiv_source observed=2026-08-15T21:22:16.022030Z digest=sha256:98c09956f8a6ce89f9ca2fc50ade33b246af9fd1600f1563c04540442ebd20c7

Observation a1cabfba-522e-4906-805d-2c7b1659af10 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.705099Z

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=arxiv_source observed=2026-08-15T21:22:16.026377Z digest=sha256:f2acfd63132e6a2538ec7a4eb124e6a3ceb66af3aeacd6009e6aa49186676012

Observation aa5e79ce-f043-4fe4-adbf-3c282e25f02b · outbound

This paper cites H., and Bengio, Y.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts H., and Bengio, Y

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:22:16.692421Z

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=arxiv_source observed=2026-08-15T21:22:16.030639Z digest=sha256:1104280942e18fb7ec831e2731187bae4c9ff25c70e8750e07181a267167b3a7

Observation 532b3888-9ecb-4018-9e22-f74e731c49ef · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.680689Z

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=arxiv_source observed=2026-08-15T21:22:16.034472Z digest=sha256:18a867a32934952bfef39d8633c1ccca063decfa68df9a1e02af31ae5f55e76a

Observation e7381cc0-f19a-4c8a-a4ee-5db9e3a7af84 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:16.039373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:22:16.039373Z digest=sha256:ea41c4a0fd53aa0b98491674fe0369539a34d7278b0f5656718e58a6c42132ab

Observation e60411c5-6134-4a86-ba86-7b8fb0c411eb · outbound

This paper cites and Gu, S.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts and Gu, S

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:22:16.668415Z

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=arxiv_source observed=2026-08-15T21:22:16.043862Z digest=sha256:ee197fc77f01eb5bb2451b0281fb6f52d313696323dba3c9e5e392818deab3a2

Observation 258a95ab-f5a7-4d2c-8817-6b2de3421209 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.656503Z

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=arxiv_source observed=2026-08-15T21:22:16.047375Z digest=sha256:f84b54492bb8597734a160ca874d9a066b5dcf86bd67525294fb1eb88a6b5bf1

Observation e7eef8cc-ca56-43f0-a063-679dc4c2e17d · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.644260Z

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=arxiv_source observed=2026-08-15T21:22:16.051056Z digest=sha256:49042b183da1e96000449bc1a17137b6d989912419db89c6001b169878e5e6cb

Observation 0f5be4ff-caf9-4627-b612-eff700309295 · outbound

This paper cites S., Mankowitz, D.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts S., Mankowitz, D

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:22:16.631545Z

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=arxiv_source observed=2026-08-15T21:22:16.054462Z digest=sha256:e2e0fd53fb770e802b15295229570c8b99802e5235b32ecfbf4317fbaf7dfec9

Observation 3c98b5f2-3f95-4cac-a906-96933cc6fd8e · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Soft Actor-Critic Algorithms and Applications

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:16.058417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:22:16.058417Z digest=sha256:3a88161ddd695f882ca7a3ac5af36554e0ccd47836781a95c9cbff6f37d6d6b8

Observation 2c049fdb-8567-439a-ac62-4b8f60ddc5cc · outbound

This paper cites Do as I can, not as I say: Grounding language in robotic affordances.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Do as I can, not as I say: Grounding language in robotic affordances

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:22:16.619680Z

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=arxiv_source observed=2026-08-15T21:22:16.062228Z digest=sha256:4b41aba4af154f84d3a4dfde0ac3f2be9a3d518cbfb20ff74c063263e4e8849f

Observation df1bc545-17f4-4604-a05d-2c3bd589c519 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.604602Z

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=arxiv_source observed=2026-08-15T21:22:16.065876Z digest=sha256:afa1e838f1ba85a4603c4abd6bc9d0efdafade417dcc217c63844484a5968583

Observation 36773faf-f240-4d40-8ce2-a02ccb905f38 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.591566Z

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=arxiv_source observed=2026-08-15T21:22:16.069944Z digest=sha256:8acd62db83d0b4c9f7f7fa6935f04e22743c16bb232ac00b7f4253ed2522d589

Observation be98b178-e7fa-4b55-871d-765f408d2c04 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.578572Z

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=arxiv_source observed=2026-08-15T21:22:16.073964Z digest=sha256:dae2dd0eb23cb82b844833f8ebe7fdcef0d959c3cc040934e571805965f1a7ff

Observation 2fe4dfc9-2ca6-4618-920f-0b8387eb6d5a · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.565726Z

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=arxiv_source observed=2026-08-15T21:22:16.077673Z digest=sha256:6a8c60a8ccc17165a120d53ffad72651203d5178ab0f2c7a877f734645875952

Observation e7a38d0b-3e54-468e-a543-cdc554804492 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:16.081307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:22:16.081307Z digest=sha256:d804f0e640ef4784dbf45931aae461e1701fb876df9e10d75788ed67b29f7210

Observation be62e38e-be7e-40dc-aa0f-6ef066ea6b6a · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.552946Z

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=arxiv_source observed=2026-08-15T21:22:16.085717Z digest=sha256:dded261bad046af954a62af2b42ba677765826023f544e4fc42afa5f3ff3e9b0

Observation 6d754aa9-eb23-47f1-8f9d-bdfd64665d3f · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.537809Z

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=arxiv_source observed=2026-08-15T21:22:16.089878Z digest=sha256:cc136da3cb4b900396952fd8dbfea52b65534a8ef9d2ed2ecaf9fce3a3920d3b

Observation cf4be6e9-9218-4b69-b9db-669d9fc65961 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.524667Z

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=arxiv_source observed=2026-08-15T21:22:16.093700Z digest=sha256:d1140063a5dd90feee530f8c83b87b1c0b5b46f10bc4b22e7bd6658390997cfe

Observation 025ee99f-bf04-4c1a-8815-8403751cdee9 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.509317Z

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=arxiv_source observed=2026-08-15T21:22:16.097483Z digest=sha256:f91e89523c54fe2fea7fffa08348b4bdada8078b8aaf17af57c42fec4f241902

Observation ec5d5ed8-4726-4d1c-9841-38627c19163a · outbound

This paper cites A., Veness, J., Bellemare, M.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts A., Veness, J., Bellemare, M

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:22:16.495285Z

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=arxiv_source observed=2026-08-15T21:22:16.101493Z digest=sha256:e6ff5a9863fab5df0973dc7a9419a3b8ebe72982b8ba0ad31acb72960e21e616

Observation 64f485e8-b01e-4701-920a-784e9f60904f · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.482776Z

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=arxiv_source observed=2026-08-15T21:22:16.105223Z digest=sha256:a37c637e12131965aa305ce828b356dba63e6d2c400dfc83a9bba9eff3bb0652

Observation a70fdaaa-dbaa-4077-8426-192db4bd1d41 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.471536Z

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=arxiv_source observed=2026-08-15T21:22:16.108784Z digest=sha256:85a9bd92e5f3af89fcdb417f5d3a2be15cd6deec9b94d752469e443260c80cee

Observation a7fcff16-5fc5-4c26-b633-f1415e2fb63c · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.459767Z

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=arxiv_source observed=2026-08-15T21:22:16.112415Z digest=sha256:c8acf283d908e0d0789adcc7cc199959caa0632f88dea7d5849dab51deb7a18d

Observation cb935178-fb0f-49c7-ba51-0d90fc1509b6 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.448195Z

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=arxiv_source observed=2026-08-15T21:22:16.116289Z digest=sha256:718f91f574749679c1d9cc2712f2b190dccde5b087140f047588876ead801421

Observation b66207bb-fb2d-4838-8d5e-a1fd8d87745b · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.435659Z

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=arxiv_source observed=2026-08-15T21:22:16.120356Z digest=sha256:53d2e43c1d6100b85e0e12d17bebdaab405614655d6cda2082ceeeb0898d59c3

Observation 4fa7d640-1e1e-4212-a640-568bcda5038b · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.423658Z

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=arxiv_source observed=2026-08-15T21:22:16.124410Z digest=sha256:e3726a6dd3087f6bfe8d8ad5e328fede814eccf7074319194ef4b692e69ce0f6

Observation 382496c0-982f-41d6-89d9-1fea6ff90427 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.412018Z

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=arxiv_source observed=2026-08-15T21:22:16.128254Z digest=sha256:0b6b78c39bfd04849b1668e62ffcc6353b5c0d913ca8e0e31658d7bd601314b2

Observation 3d8398ea-a741-4f95-91b4-cf08a8b3e681 · outbound

This paper cites and Imai, M.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts and Imai, M

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:22:16.400282Z

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=arxiv_source observed=2026-08-15T21:22:16.131975Z digest=sha256:aa8e83d5e1fc0cc1b3c931320615cf22e429d6a7e84c324ceb88a11fc5c185b6

Observation e87c4343-e529-4f5d-8a4c-3350f45b347c · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.388736Z

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=arxiv_source observed=2026-08-15T21:22:16.135578Z digest=sha256:6abc4021bfcbd96ec06d343ee0689b560743079fc08aa1ef24a0a6b004b576b5

Observation 17cb33e6-ab13-435d-9b11-20f67caed28f · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.377232Z

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=arxiv_source observed=2026-08-15T21:22:16.139088Z digest=sha256:f7a116926c11a77264aaeac307327dcdfe756bfcab16b02ddea39651e89b2654

Observation 90bb5f1d-81a0-4d9e-96e5-70bce867cb92 · outbound

This paper cites DeepMind Control Suite.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts DeepMind Control Suite

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:16.142589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:22:16.142589Z digest=sha256:6536d68842a72a07b9a1ca2e99f020171103e83b28f64c2e72d637d33b57593f

Observation 1b8cb69c-cc35-4fb9-8883-49224d9074c9 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.365666Z

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=arxiv_source observed=2026-08-15T21:22:16.146475Z digest=sha256:fc44da446d56d5c5cc9cd25e4eb8e3fdd6cb6f867bbc7ee9d57060621e8bfe1a

Observation 86f042a2-61b4-46bc-b98f-60c9518aa83d · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.354348Z

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=arxiv_source observed=2026-08-15T21:22:16.150059Z digest=sha256:2d4ae8a3fc2b8c4e6c34374ce1ea2850751dcbd0cfb339ee7c42185d578d25cd

Observation b8782f6f-d863-4a1e-9c44-4a8f007b87cb · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:16.153736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:22:16.153736Z digest=sha256:eda78408b775b7562dcda3f876348d67dfff12268c0daa58ad179f2f3fcc305c

Observation 59e916c3-6eb9-4bb5-b523-1141e99c4ea8 · outbound

This paper cites u l c ehre, C ., Wang, Z., Pfaff, T., Wu, Y., Ring, R., Yogatama, D., W \.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts u l c ehre, C ., Wang, Z., Pfaff, T., Wu, Y., Ring, R., Yogatama, D., W \

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:22:16.342220Z

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=arxiv_source observed=2026-08-15T21:22:16.157590Z digest=sha256:28f23666eedd8c1e57940c0f16536957da32776d9ab0b6f7a8ce7d2e3b13ce2d

Observation c505a9b7-d739-4e54-841f-f139b136a954 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.328383Z

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=arxiv_source observed=2026-08-15T21:22:16.161170Z digest=sha256:da0845770743af6abd539eec8d7b00802ffd87a96e14ce3932e159f42fcad475

Observation 64a4fd18-9ab7-4fe3-ba58-00b244f03700 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.316619Z

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=arxiv_source observed=2026-08-15T21:22:16.164868Z digest=sha256:4efadcf585592cf7db19861df49c83727e27ef08221969090212f7038ff3d2d9

Observation b6ddf42e-850a-4238-bdcb-9ea23f47d81f · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.304331Z

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=arxiv_source observed=2026-08-15T21:22:16.169209Z digest=sha256:11674a519d1476279468cba59f33f272257b7cf2567676fcde8d3979084a1f36

Observation 102ddb5d-2b6a-4e60-9c83-7ce77da78c77 · outbound

This paper cites an unresolved cited work.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:22:16.292240Z

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=arxiv_source observed=2026-08-15T21:22:16.173285Z digest=sha256:76b440c66b8ceeaac1b8ed4ba68895db391fa9a7770c31c124535974775685f3

Observation 04a14512-33bb-4c32-82e7-0e19e3871de5 · outbound

This paper cites Y., Levine, S., Finn, C., and Ma, T.

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Y., Levine, S., Finn, C., and Ma, T

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:22:16.279666Z

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=arxiv_source observed=2026-08-15T21:22:16.177487Z digest=sha256:b15b173a3e066121455e09c5cd31293d8f5b770d830b3529f1b19d3751434a8d

Pith citing papers

Observation 65da9b3c-af91-4fe4-867b-48c09c4344dd · inbound

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning cites this paper.

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:30.671346Z

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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