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Paper Citation Record · LEDGER

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.012007Z digest=sha256:d8414d33edc1173312227dbe71fad761cfee3454233f2d309489b75a36bd29d2

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.022030Z digest=sha256:522b3c83d430c5824b1563c2c20f5451eaeda3f66c92aa75456272e87a88a4ab

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.026377Z digest=sha256:32c3928185d8af78ce3c1e6b0d44552a0f06f500d12aa70bbd37575376574197

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.030639Z digest=sha256:4aa7502c496185f4b840a8af6bfa9174f0208806331d7bcbe638cf3478481957

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.034472Z digest=sha256:cb85a90f9a1c23395408c944563b51e4dd34e7a224dfc7fb3d7a485d9cad7031

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.043862Z digest=sha256:626f8f91b337f819011f6b1d2ddf0201ef025eaf6eab4c0b843b4ed1480b626e

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.047375Z digest=sha256:ae88ade93a693ff14b719da851298c2c6b3e9d1015ba9d06ba57068f02fbdd62

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.051056Z digest=sha256:ab2568c5cfda4bb682843c56fe269539b7473944db8a8b66fcae87cf55ee29f5

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.054462Z digest=sha256:21eae2c55af8396648919ee21abce06fa85749b7400bfd4a2cd2024bc264dbed

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.062228Z digest=sha256:e8c9f413c9de6700fcfa89a1c93a269ad77c0680e4392e0a8b4618bdb4e4c9dd

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.065876Z digest=sha256:c755992a860240ad34f65857bf1be33370eff82c82e4cbe87d0f7423457222cb

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.069944Z digest=sha256:ffa328fc59ce3055c0ab474943298ba8f071fb154235758bd34cc78cfe2616e4

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.073964Z digest=sha256:0f3ffd34cff20301651b0466eb974a8d09df8d47240742a5e8905af4c2c8a352

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.077673Z digest=sha256:f00b80267098974553d4e53ae1bf71530652a2daf9fcafdd759a597b674c33ce

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.085717Z digest=sha256:73855fa8581a138c68598d2feeda0a1778e2dea30e49f914f3a9a54f5d967d98

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.089878Z digest=sha256:a3276fc10cfdb0af5e3bc94f955319fde8117f7476ff043418533665bf3ea8aa

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.093700Z digest=sha256:02e1f45d10cb4ea67cd34d89bea5bac1003ba304f187e34dd3441d09ebbdd619

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.097483Z digest=sha256:cc4e26b0a6956d4e5f105a6da9799c6dc32a32bc3bb6a66146526717e11933f2

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.101493Z digest=sha256:a8c5c49609974bb2547a5a36c7f7c42f32a970a6f5edf6a10bf8566e3b0e8f2a

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.105223Z digest=sha256:dc215ca47089be98207887cb4286031b2daaedab89b6b16a5444ddeb7ca9bd52

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.108784Z digest=sha256:55e9ab8d8325dcdebbcdd917ce5851cada0a63ff1d8ea1c7f6a33e2feb26964f

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.112415Z digest=sha256:2fca3c6bd8be2c028d4bd2db038b064225439d2f6bca73c3b778cbd9c3d0fd87

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.116289Z digest=sha256:c5d3dbcb9dc8f1ac625a8455eaa94e90ce4d4a0dca7ef349ed6165ab2c469939

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.120356Z digest=sha256:4783411cc719addf6742efeca9cc23d5fd53660b6b9cb693e461b3028944cc60

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.124410Z digest=sha256:60baeb4b574e87c303db9d59fecbd56772386a8222ab5d2e3d079daae3250236

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.128254Z digest=sha256:a8423a56aee0d2cb5efafbb9b448bf0da04a6d0f4218a0121563197b737954f9

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.131975Z digest=sha256:e4dc9d69854f69fc821139d34751768f04e0be1c4e79d583501164930b052c86

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.135578Z digest=sha256:bc3e600cad04da1270b6626b6826c87ae7fd3870456212b759fe758ca13a9581

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.139088Z digest=sha256:e74c373f2e73f85fd7bd63c93b6ce656b8e4de806191503453be6073b2eec8c0

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.146475Z digest=sha256:430f04e30572ad58d96373aa491c577b89bc978328496b5f0b20af5d7553a01c

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:22:16.150059Z digest=sha256:f8b8fe4cbe768fa94dfc5aa6cd1372a266a5f8347acfb3f1d58a855b6758c2a1

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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