Paper Citation Record · LEDGER

Offline Learning for Combinatorial Multi-armed Bandits

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 3 inbound Pith citation observations for arXiv:2501.19300.

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

pith.paper-citation-record.v1
2501.19300 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:45:51.330020Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:21:39.763211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:01:03.227843Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy15
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db8e2882-4d5e-4719-b39d-617a0ab8bac5 · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Offline Learning for Combinatorial Multi-armed Bandits Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.240862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c305033-b342-454c-bdb5-b6c45b5a5c44 · outbound

This paper cites org/CorpusID:260316010.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:260316010

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.601471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7855778e-9c56-48fe-9df0-62f6d90cb6b0 · outbound

This paper cites Cost-Effective Online Multi-LLM Selection with Versatile Reward Models.

Offline Learning for Combinatorial Multi-armed Bandits Cost-Effective Online Multi-LLM Selection with Versatile Reward Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.260321Z

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Unavailable: canonical work link unavailable.

Observation bbc163c9-358f-448a-b0be-ad6eb602ac49 · outbound

This paper cites org/CorpusID:235422620.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:235422620

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.567700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54697854-2ab7-445d-aded-fe9230791a52 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

Offline Learning for Combinatorial Multi-armed Bandits Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.272633Z

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Observation 8af85bdc-b3b7-4c20-8188-b68f71918e83 · outbound

This paper cites org/CorpusID:28202810.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:28202810

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.558097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95527f5c-b25a-417f-bc83-1c8bf0faed81 · outbound

This paper cites org/CorpusID:211011033.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:211011033

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.541147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76af462e-7a05-49b3-8faf-063dfdb8550f · outbound

This paper cites Conservative Q-Learning for Offline Reinforcement Learning.

Offline Learning for Combinatorial Multi-armed Bandits Conservative Q-Learning for Offline Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.287327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93148686-93fe-4156-b119-74e4ab0041cd · outbound

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

Offline Learning for Combinatorial Multi-armed Bandits Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.290290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3ea8a1-7526-4dba-bd8e-139450246a45 · outbound

This paper cites Combinatorial Logistic Bandits.

Offline Learning for Combinatorial Multi-armed Bandits Combinatorial Logistic Bandits

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.293340Z

Source-reported events for the cited work

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Observation 38fdfbfd-c5d2-4fed-873a-175b79d59611 · outbound

This paper cites org/CorpusID:208617840.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:208617840

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.532232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6579d043-19b6-49cd-9ec0-21dd3b22a6c8 · outbound

This paper cites Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian.

Offline Learning for Combinatorial Multi-armed Bandits Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.304986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08f0f9f1-6674-45f7-809c-eb401a3af3e2 · outbound

This paper cites Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity.

Offline Learning for Combinatorial Multi-armed Bandits Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.310714Z

Source-reported events for the cited work

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Observation be06bb87-33b5-4d46-add2-abc07efeb513 · outbound

This paper cites org/CorpusID:247159013.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:247159013

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.514846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 381b336d-2739-4898-a2c8-78d153bb1614 · outbound

This paper cites org/CorpusID:234826156.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:234826156

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.506058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d61b0e5-c68c-4f4c-839d-c83c32270c7e · outbound

This paper cites Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback.

Offline Learning for Combinatorial Multi-armed Bandits Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T20:45:51.367607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3948507-b6c0-493c-84d1-f140e1c85c37 · outbound

This paper cites Near-Optimal Offline Reinforcement Learning via Double Variance Reduction.

Offline Learning for Combinatorial Multi-armed Bandits Near-Optimal Offline Reinforcement Learning via Double Variance Reduction

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.326444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07807c96-acf2-4d08-a417-a12ef182ceb4 · outbound

This paper cites batch RL.

Offline Learning for Combinatorial Multi-armed Bandits batch RL

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.497389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 344d2a49-3e32-46dc-9660-ddf9eb52c55a · outbound

This paper cites Chen, W., Wang, Y ., Yuan, Y ., and Wang, Q.

Offline Learning for Combinatorial Multi-armed Bandits Chen, W., Wang, Y ., Yuan, Y ., and Wang, Q

Reference 159

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.585326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f0d021d4-ce4c-4168-b817-aae430c59d10 · outbound

This paper cites Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization.

Offline Learning for Combinatorial Multi-armed Bandits Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization

Reference 1375

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.299080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81094f23-1291-4af3-b765-6014b6bf125e · outbound

This paper cites BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning.

Offline Learning for Combinatorial Multi-armed Bandits BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning

Reference 1716

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T20:45:51.473838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3221d8a7-3f70-4945-8590-ff8aab70b250 · outbound

This paper cites Chen, W., Sun, X., Zhang, J., and Zhang, Z.

Offline Learning for Combinatorial Multi-armed Bandits Chen, W., Sun, X., Zhang, J., and Zhang, Z

Reference 1724

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.576296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b12ba690-c6da-4fe8-baba-40e184e47fbf · outbound

This paper cites org/CorpusID:5785954.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:5785954

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.523454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6597414-f24d-4d37-9692-0501639f9d68 · outbound

This paper cites Influence Maximization with Bandits.

Offline Learning for Combinatorial Multi-armed Bandits Influence Maximization with Bandits

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.320267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cf04bf9-123b-47c6-8845-55e8bf2f7038 · outbound

This paper cites org/CorpusID:742580.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:742580

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.617647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5c29039-d30e-42c7-8632-b2361c11eb78 · outbound

This paper cites Prompt Cache: Modular Attention Reuse for Low-Latency Inference.

Offline Learning for Combinatorial Multi-armed Bandits Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.269548Z

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Observation 426821e6-a2a3-4417-8b55-ab3aa0cc3396 · outbound

This paper cites Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.

Offline Learning for Combinatorial Multi-armed Bandits Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.230499Z

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Unavailable: canonical work link unavailable.

Observation d9085009-17ac-49fd-86da-a6e5a528f45b · outbound

This paper cites org/CorpusID:218595964.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:218595964

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.549708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b0f495f-916a-4b32-998d-8541f084a556 · outbound

This paper cites org/CorpusID:248498378.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:248498378

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.593412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7530a131-89a5-4de1-b794-08641b2ac8f1 · outbound

This paper cites Mobile Edge Intelligence for Large Language Models: A Contemporary Survey.

Offline Learning for Combinatorial Multi-armed Bandits Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.302066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf2222b-b99e-4bf3-aea8-01f2958ce89c · outbound

This paper cites org/CorpusID:265607979.

Offline Learning for Combinatorial Multi-armed Bandits org/CorpusID:265607979

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:45:51.609509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a44dbf7-bfa7-473d-8879-edddb7f42f7b · outbound

This paper cites Federated Combinatorial Multi-Agent Multi-Armed Bandits.

Offline Learning for Combinatorial Multi-armed Bandits Federated Combinatorial Multi-Agent Multi-Armed Bandits

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.263570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f67030-58b8-4fe6-92ad-096876af497c · outbound

This paper cites On Value Functions and the Agent-Environment Boundary.

Offline Learning for Combinatorial Multi-armed Bandits On Value Functions and the Agent-Environment Boundary

Reference 4039

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.278487Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation f8ea145b-77bb-4e00-b5a3-9d4a7136a459 · inbound

A Unified Online-Offline Framework for Co-Branding Campaign Recommendations cites this paper.

A Unified Online-Offline Framework for Co-Branding Campaign Recommendations Offline Learning for Combinatorial Multi-armed Bandits

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:39.763211Z

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Observation 10d820ea-91f9-4035-99eb-0e8e69edb66d · inbound

Best Arm Identification with Possibly Biased Offline Data cites this paper.

Best Arm Identification with Possibly Biased Offline Data Offline Learning for Combinatorial Multi-armed Bandits

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T13:07:12.820368Z

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Unavailable: canonical work link unavailable.

Observation 48485c5d-b1a8-4be1-8234-88aa0f2e3e94 · inbound

Continuous Semantic Caching for Low-Cost LLM Serving cites this paper.

Continuous Semantic Caching for Low-Cost LLM Serving Offline Learning for Combinatorial Multi-armed Bandits

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:01:03.233839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.