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Paper Citation Record · LEDGER

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2510.19528.

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

pith.paper-citation-record.v1
2510.19528 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:45:52.117439Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

39 of 39 outbound references displayed

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  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26faff59-f6e1-4746-a6f2-4d74770fdb02 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 1

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source=arxiv_source observed=2026-08-04T08:45:47.918320Z digest=sha256:4d91b0d9f4d68867d7309ac1cc45fe338e00e3b8712856ec36b58f67aa222938

Observation fbbd8599-f619-4da0-873b-2e186e9b76db · outbound

This paper cites OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning

Reference 2

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source=arxiv_source observed=2026-08-04T08:45:47.978112Z digest=sha256:bbe909cbea87bc924b2650ddbd0eeff941380e7f50c80b124e72a17bbc2d84ae

Observation 30258a52-f13a-48ca-950e-3c8d33d3dad8 · outbound

This paper cites G., Osband, I., and Munos, R.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach G., Osband, I., and Munos, R

Reference 3

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source=arxiv_source observed=2026-08-04T08:45:48.094172Z digest=sha256:2b2141cb75eb7b57250c2d966c296e54014b826cd04cc5c9d56a7751d585d73a

Observation 930973aa-237e-41ba-9846-bb5e1f976148 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-04T08:45:48.215603Z digest=sha256:0df13cbd48caf26da72d9f9e47fe86b13928a3e1306a9991f96d9912c0366e4d

Observation 27eb83ec-d1e2-4d65-ad26-8b47b63e4cb3 · outbound

This paper cites B., Chernova, S., Taylor, M.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach B., Chernova, S., Taylor, M

Reference 5

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source=arxiv_source observed=2026-08-04T08:45:48.326922Z digest=sha256:329099362940c1082916991ba3d8fd30bbce1009d877351ceafa0c6ed40ce97c

Observation c7dcec4a-4436-42e9-a38f-57f08324a63d · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-04T08:45:48.447363Z digest=sha256:e265618526548be8ecdbd604cba4d806592151a97d6c02eb266e94ab2c171b94

Observation e5da63d2-8230-4db8-8b8c-b8f70d81f1da · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-04T08:45:48.554736Z digest=sha256:04b0949b5794277aaf50ee0b387633f69e695b2ea58eaea348600110f6a6204f

Observation c4dc1967-90fe-4c58-be7c-51b537512a22 · outbound

This paper cites V., Mohri, M., and Zimmert, J.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach V., Mohri, M., and Zimmert, J

Reference 8

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source=arxiv_source observed=2026-08-04T08:45:48.713052Z digest=sha256:fd38732eb8a0b7a797792d2f7b834e9ebdf0de17662e09d5a5d2e9e71fa99b1e

Observation aa7e192b-5aa7-4b7c-8d63-25dfe90b5d55 · outbound

This paper cites and Moitra, A.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach and Moitra, A

Reference 9

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source=arxiv_source observed=2026-08-04T08:45:48.889428Z digest=sha256:6fa08513615e57863bd98b363c67c37490f65d1234329e953909af95f9095a41

Observation 17b2e3e5-a7c8-4e3a-ae6b-d8f26c2d3b74 · outbound

This paper cites Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Reference 10

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source=arxiv_source observed=2026-08-04T08:45:48.991607Z digest=sha256:e9f90e7b8854f4aba379f33e144f6be7056c05693dace9405be5b323e2a26c81

Observation 00764bb5-9eb2-4e61-a1d2-4892aa5f71a4 · outbound

This paper cites M., and Levine, S.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach M., and Levine, S

Reference 11

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source=arxiv_source observed=2026-08-04T08:45:49.061260Z digest=sha256:1a45e4f558390e19de790c3ea9832f6e389f07e8b2ae8aed3d7f5da9eaa51866

Observation 24949a45-a005-42f4-91b2-767095d58c8a · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-04T08:45:49.127311Z digest=sha256:5e0ec0521da0be72ea6d8c51c7c25cb0016465bed010fb775829fbee3b5720d3

Observation 4c9ab088-2c3d-41b2-a4dd-5b7526c0d8d9 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-04T08:45:49.196981Z digest=sha256:1417f33fe891b8ab2587055c912c4a2b1ca44f50d6205dabe7c1508ac37de8ae

Observation e54c6d5c-b5b0-493c-a0d0-45b9bf2125df · outbound

This paper cites and Langford, J.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach and Langford, J

Reference 14

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source=arxiv_source observed=2026-08-04T08:45:49.321374Z digest=sha256:ee44c7a7eba2d9e82bdfc40d24d7dcd4740c2b7342d81cf80646f52ce42296a4

Observation ea33daec-e506-427a-8c43-46ad6064fd4e · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-04T08:45:49.434271Z digest=sha256:5d89a4da02f71244ca2611c3a9c37fb98d465adefb7b32ecc5566d908dd09a2f

Observation 9c9c3a5e-894d-4d60-87a1-7cab5bc24e98 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-04T08:45:49.503807Z digest=sha256:c37a3fd28c54694dda37feaab226d1d3abfe5fe187806c5617660c02bf33f436

Observation aa6f19cf-b96d-4963-8cc3-5743f0679797 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-04T08:45:49.579361Z digest=sha256:c91e30d1db979f11b6b59e71fd3b6ca9205fc40b763b68ad5e7fd23424e548d9

Observation 1218da08-0a7d-4eba-955c-59cd2bb67aa1 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-04T08:45:49.708734Z digest=sha256:c075af87db33486fbb00a168ac52f4ab7baf657ae11bfa5a37d04db8e0b50698

Observation 7fbdd88a-cc9e-483d-a49c-82a7b28e62bf · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-04T08:45:49.843946Z digest=sha256:6ad3cd43c4084d2c91ddd7490aa4e4100c48df359a496f938f801f4cc12a04cf

Observation 19f02c76-fc9f-4e4f-a474-8b798a480fcc · outbound

This paper cites V., Sima, K., and Leong, T.-Y.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach V., Sima, K., and Leong, T.-Y

Reference 20

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source=arxiv_source observed=2026-08-04T08:45:49.933185Z digest=sha256:cb4da76bd6d8798ab591f591f1771bd0bb43d6f1447de6178d324c26cd245c63

Observation 4e086aa7-53af-46a1-86db-3441b413ebab · outbound

This paper cites and Pontil, M.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach and Pontil, M

Reference 21

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source=arxiv_source observed=2026-08-04T08:45:50.021748Z digest=sha256:322442e89028dac225edab4c27708cfd09f56de793e6084e2040f85a3aa9d187

Observation f3c5711f-f0e2-4970-94b0-df473b0265ef · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-04T08:45:50.181755Z digest=sha256:dabc514f4be38ccdfa88d028fe6f1dc11bbfeea73debd6c0fd2fb9324a068362

Observation f4b0925c-3094-42a8-a9e3-bbdad5182691 · outbound

This paper cites Y., Harada, D., and Russell, S.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Y., Harada, D., and Russell, S

Reference 23

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source=arxiv_source observed=2026-08-04T08:45:50.292706Z digest=sha256:f055c1fe40552f3d16c486caf88e6a9882e334524f547decfbaa6c591229d43e

Observation c7a544bc-06cc-4e73-ad4a-d1263b049730 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-04T08:45:50.503873Z digest=sha256:da6485f110f990b6e152ff3ade1adafc86a7b41850e3397f920ad7529136c62c

Observation 8fbed35f-f8bd-43fb-b23e-1a9834e7e22c · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-04T08:45:50.588535Z digest=sha256:f4afc4749466476c46cbadb82c62faae1875027b02b9d4c1aa04edaddeca124f

Observation 4b694626-e616-412a-901f-03300034f881 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-04T08:45:50.668557Z digest=sha256:1f9841a4960d0d8bead5d4fcb81e457b1c171333c92ca858ce96ffca9d0bec39

Observation a0ff7657-5b33-427f-9c6c-0207e163f845 · outbound

This paper cites and Jamieson, K.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach and Jamieson, K

Reference 27

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source=arxiv_source observed=2026-08-04T08:45:50.747186Z digest=sha256:72de1ace0ecc81cf14f3f7d968fe7edfc868a3acc680bcf2569414cfa41b0030

Observation f2dc4c0c-1335-4d2d-9833-b78d661542cd · outbound

This paper cites Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Reference 28

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source=arxiv_source observed=2026-08-04T08:45:50.812731Z digest=sha256:217da45c24f901477ad7b2cbdcb021b6cd41cd4aaeb30e458fbe365bb0d0cc35

Observation f44b9ff7-9a78-49f3-a881-27ba148c28c1 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-08-04T08:45:50.877931Z digest=sha256:d1e87619df92740018af520973a0a80090b8ffbb9bc3028fcb130f34a985db8e

Observation 8f7486e7-48e6-47b3-ba89-994a7f6edba9 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-04T08:45:51.048804Z digest=sha256:666ae576b145f5d915537dc2d2ba08376d6fae7acc3fe921ea2c0e58d92211ef

Observation 1ba0e4ee-c526-4190-8a8f-9661aec7f50e · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-04T08:45:51.219605Z digest=sha256:ee22c29db0b8a32772dc147a64be39ca87c984eef8730da5e611a766e13d6ac9

Observation 7eae4155-74d0-4fec-8f32-a5c7f841725f · outbound

This paper cites and Brunskill, E.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach and Brunskill, E

Reference 32

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source=arxiv_source observed=2026-08-04T08:45:51.372926Z digest=sha256:d007b7e9d82dea5d72cfbad31208d63582cf06ea4f71095317305fecdbda258c

Observation e486cfa8-ec20-4840-ab06-5169f2419768 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-04T08:45:51.539180Z digest=sha256:fc81d38b725670a41f1810123c559f9908388e83be65ffe687e4283442b02347

Observation 0260433f-2a14-4c85-8b06-acbcadc35ee4 · outbound

This paper cites and Wang, Z.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach and Wang, Z

Reference 34

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source=arxiv_source observed=2026-08-04T08:45:51.624774Z digest=sha256:c9884d5ee08f1d700c4dd108339111082df6ab6bc54e2c8ddc42352cda51a1f0

Observation 6679652e-6aff-4516-98ab-81573f815b84 · outbound

This paper cites D., and Du, S.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach D., and Du, S

Reference 35

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source=arxiv_source observed=2026-08-04T08:45:51.682041Z digest=sha256:def801bd7447a1e3c88a8a05a67f0e9559a6764aacf7ec3024de8af559d52391

Observation c092147b-1149-465b-b7e0-387f8ea064f0 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-08-04T08:45:51.763250Z digest=sha256:884376753911fe85280973b6f13910fa3731ffeaa4b16204cfb1d0fafd841911

Observation 559a0534-1971-4f4f-a1d6-e2c4bec86ce4 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 37

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source=arxiv_source observed=2026-08-04T08:45:51.861290Z digest=sha256:c7cb7a2e95eef41e6362ef5939b5303c4f94ab66ec046ab8039d0850ccf3641d

Observation 546bce27-b99c-4d42-869f-97c4d175eab2 · outbound

This paper cites an unresolved cited work.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-04T08:45:52.030979Z digest=sha256:15700660819918add04b310682c4e6ca50eaf58e4f26b287d3321534f163ad73

Observation db7b8bc0-352f-4320-9b3e-65be8f6ca089 · outbound

This paper cites Reward Shaping via Meta-Learning.

Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach Reward Shaping via Meta-Learning

Reference 39

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source=arxiv_source observed=2026-08-04T08:45:52.117439Z digest=sha256:66e6fe762993652ec5762805a622f1ded01dc7e37454b8c3b4deb2c280eb50ba

Pith citing papers

No inbound Pith citation observations are available.