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Paper Citation Record · LEDGER

Hierarchical Residual Policy Optimization for Generative Recommendations

As of 7 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2608.00750.

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

pith.paper-citation-record.v1
2608.00750 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:28:28.594848Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

70 of 70 outbound references displayed

  • verified exact9
  • verified fuzzy1
  • unresolved52
  • parse uncertain0
  • malformed identifier6
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6b3d903-e83e-4a0f-9cdf-e3e1f4a56e3d · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 1

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Observation 3c69e743-2561-430a-aab8-f1f23f3c19fb · outbound

This paper cites An Actor-Critic Algorithm for Sequence Prediction.

Hierarchical Residual Policy Optimization for Generative Recommendations An Actor-Critic Algorithm for Sequence Prediction

Reference 2

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source=pdf_text observed=2026-08-05T00:28:19.184842Z digest=sha256:5ebea5bb48dc4ac742898f1682833373f716432660b46c25ee24119b21ace558

Observation 6b7cbcb2-1eda-4b74-ab5e-99a41c83a0fb · outbound

This paper cites Charles, D.

Hierarchical Residual Policy Optimization for Generative Recommendations Charles, D

Reference 3

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 49a4c10f-2a3a-43a6-a859-be44c2e9abd6 · outbound

This paper cites Decision Transformer: Reinforcement Learning via Sequence Modeling.

Hierarchical Residual Policy Optimization for Generative Recommendations Decision Transformer: Reinforcement Learning via Sequence Modeling

Reference 4

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source=pdf_text observed=2026-08-05T00:28:19.394252Z digest=sha256:505a91fb3bc60715b0fc4e788a90d4857d8020565e54c9cee5198f71bd80f4d7

Observation a11a2abc-46f6-4e0e-93aa-17f9b87f18dc · outbound

This paper cites On Softmax Direct Preference Optimization for Recommendation.

Hierarchical Residual Policy Optimization for Generative Recommendations On Softmax Direct Preference Optimization for Recommendation

Reference 5

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source=pdf_text observed=2026-08-05T00:28:19.449017Z digest=sha256:bf38b35e0ab904d60d57fa9b5737503ed3801abd3b8a94ef9ff86f77d7dc39e0

Observation 0d305c4d-5e60-4a38-a570-2d9d37e98ac1 · outbound

This paper cites Deep reinforcement learning from human preferences.

Hierarchical Residual Policy Optimization for Generative Recommendations Deep reinforcement learning from human preferences

Reference 6

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source=pdf_text observed=2026-08-05T00:28:19.534747Z digest=sha256:efbae01beac7fea07be9894a727ada0d4771003007d693b98a722d3815e37b88

Observation 068d50b9-6fb4-490e-8b87-0789504290aa · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-05T00:28:19.631829Z digest=sha256:70fe10022031c555d73f1eeb538b8fa45916f3c287f0663aad5168e875005776

Observation 82066883-ec5c-4a99-9233-c5563323bf2b · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

Hierarchical Residual Policy Optimization for Generative Recommendations OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 8

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source=pdf_text observed=2026-08-05T00:28:19.720042Z digest=sha256:4791f214a8fc7b1c82a7cef7cb9af07caa28f1a4c0f8f611f1abee9f473d809f

Observation 743993e2-f8ae-4fa1-8e5a-4bf5d36b7eac · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 9

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Observation d133d8b5-7bf2-4e08-ba8c-8a330790c840 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-05T00:28:19.914046Z digest=sha256:58d0ae8893d6bacb2ad7737d09d39d9ba5ced7a9bccac9d185ba2a6a8cea146e

Observation 598db00d-e391-4354-975d-4a069ccfaf8a · outbound

This paper cites Addressing Function Approximation Error in Actor-Critic Methods.

Hierarchical Residual Policy Optimization for Generative Recommendations Addressing Function Approximation Error in Actor-Critic Methods

Reference 11

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Observation 53d9743a-24f5-43d3-b1fd-a02871378338 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 12

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2647b977-c7d8-4eeb-911c-f409f49f85bb · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 13

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Observation 1cdaa22a-6501-4a72-a2f2-ebc018be19b6 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 14

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Observation ca8f2e29-f19b-4023-b53c-4d658d7ec93a · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 15

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Observation 8ed65f10-0cf5-475d-a56d-3a9508d14814 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 16

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Observation 90fecece-1fc1-4895-9fda-4d74f8cb0803 · outbound

This paper cites ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation.

Hierarchical Residual Policy Optimization for Generative Recommendations ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Reference 17

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Observation cd03a16b-dbe5-4d8f-afce-df65e233c3b5 · outbound

This paper cites RecSim: A Configurable Simulation Platform for Recommender Systems.

Hierarchical Residual Policy Optimization for Generative Recommendations RecSim: A Configurable Simulation Platform for Recommender Systems

Reference 18

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Observation 43bc848a-6a46-48d0-ade3-5721af5c31e3 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

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Observation 90c20684-407b-47e0-b5a9-3ea36e469ac3 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 20

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Observation 998ef819-b099-40fd-96f3-990f9f217f9b · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 21

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Observation a1da817b-8173-4169-83de-c5f8bc91e19b · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 22

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Observation 33218b36-3103-4d22-a328-5c1f57c4cf5e · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 23

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Observation 4549bf14-6f92-463d-a05e-504615575201 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 24

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Observation 460194cc-9184-4098-9d02-d495822f57c1 · outbound

This paper cites Learning Multi-Level Hierarchies with Hindsight.

Hierarchical Residual Policy Optimization for Generative Recommendations Learning Multi-Level Hierarchies with Hindsight

Reference 25

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Observation 59c01b23-d891-4a6b-b763-f3bde21e3146 · outbound

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Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

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Observation f5a62ca2-d253-4aaa-96b7-64bd5f2968de · outbound

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Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 27

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Observation 14d32725-3f45-4505-bd19-941e802830b7 · outbound

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Hierarchical Residual Policy Optimization for Generative Recommendations Continuous control with deep reinforcement learning

Reference 28

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Observation b6cc294a-3f72-4a1f-8f4b-3d6d6ce5775c · outbound

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Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation f94485d9-3769-4efd-a171-24f211a4cecd · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1b3c4aae-a291-4a4e-9c34-4ab197910224 · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

Hierarchical Residual Policy Optimization for Generative Recommendations Asynchronous Methods for Deep Reinforcement Learning

Reference 31

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Observation bcf770e6-3096-4d4f-a6b9-5b09c93cb777 · outbound

This paper cites Ng, Daishi Harada, and Stuart Russell.

Hierarchical Residual Policy Optimization for Generative Recommendations Ng, Daishi Harada, and Stuart Russell

Reference 32

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Observation d7bc9ca1-0dcf-4398-8908-2686bc05f171 · outbound

This paper cites Training language models to follow instructions with human feedback.

Hierarchical Residual Policy Optimization for Generative Recommendations Training language models to follow instructions with human feedback

Reference 33

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Observation 2b002aa4-1e1c-4cf8-a2a7-e9af9c5caad0 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 68e83215-d09a-46f8-b177-3f2c5e04ad44 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Hierarchical Residual Policy Optimization for Generative Recommendations Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 35

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Observation a1e39e40-449c-4cc3-8937-6319bb528cfd · outbound

This paper cites Recommender Systems with Generative Retrieval.

Hierarchical Residual Policy Optimization for Generative Recommendations Recommender Systems with Generative Retrieval

Reference 36

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Observation 85da4500-93bf-4bf3-b93f-997bd6966f1f · outbound

This paper cites Sequence Level Training with Recurrent Neural Networks.

Hierarchical Residual Policy Optimization for Generative Recommendations Sequence Level Training with Recurrent Neural Networks

Reference 37

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Observation 94b1613b-fb49-48a7-9ba1-ddd815cebabb · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-05T00:28:22.723679Z digest=sha256:9c4313751362c0920f1d8767541267d20eb1720f0a5c7743c8bfe8028a04a322

Observation 4433ad17-b629-4994-a868-64b06f55ddbb · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 39

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Observation f49e6042-6501-4ae3-8b44-e72180f2c561 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 40

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Observation 462b93c7-20c1-4145-ab9e-693b19c9ba05 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Hierarchical Residual Policy Optimization for Generative Recommendations DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 41

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Observation 378e2ecd-b4ec-4f9f-86e2-27eed698dc49 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 42

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Observation 9efcc24e-53c6-4771-9480-ae39402eb425 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-05T00:28:25.755221Z digest=sha256:e9ceffc44915c89338ad807a580eff54a20d6a1c7e45892cffc306974e313677

Observation a20f4299-2f59-4130-b079-c38fcb4226f2 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Hierarchical Residual Policy Optimization for Generative Recommendations High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 44

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Observation 64229d29-411d-45c4-beff-db359364cd2d · outbound

This paper cites Counterfactual Risk Minimization: Learning from Logged Bandit Feedback.

Hierarchical Residual Policy Optimization for Generative Recommendations Counterfactual Risk Minimization: Learning from Logged Bandit Feedback

Reference 45

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Observation 9745843c-56f4-4847-8c61-3001cf869558 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 46

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5834341c-e4ff-42f9-b907-75214a7927ca · outbound

This paper cites Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, Tal Schuster, William W.

Hierarchical Residual Policy Optimization for Generative Recommendations Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, Tal Schuster, William W

Reference 47

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9d91c1ac-4ad1-4680-bd19-d49cc9063474 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2893966d-ffca-495b-8b00-2915b2c37ac4 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 49

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6d26ba5b-4c87-451c-8bfb-2a787c6cb060 · outbound

This paper cites Sutton and Andrew G.

Hierarchical Residual Policy Optimization for Generative Recommendations Sutton and Andrew G

Reference 50

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3863b1da-6aeb-4d5b-9a64-5e174f9a972c · outbound

This paper cites GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks.

Hierarchical Residual Policy Optimization for Generative Recommendations GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

Reference 51

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Source-reported events for the cited work

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Observation 381df897-f5a9-4228-a0f8-02621a47b725 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T00:28:26.776581Z digest=sha256:99e9a9cedd0f41e15ff6b8188f8293f5e53d64c5a7aeb2bc8f5811a79881b632

Observation cdcd148b-fe2b-4fab-a84b-daf58e7949e1 · outbound

This paper cites Williams.

Hierarchical Residual Policy Optimization for Generative Recommendations Williams

Reference 53

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Observation 65383475-c49b-44b8-b2f2-80f4038dd302 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-05T00:28:27.166451Z digest=sha256:22a90d9e48d6085b5031aa401fbc2b6f3637ad66f3a546ba65a67477149229d5

Observation e67a26db-dec7-4545-a632-5caf994f4bca · outbound

This paper cites KuaiSim: A Comprehensive Simulator for Recommender Systems.

Hierarchical Residual Policy Optimization for Generative Recommendations KuaiSim: A Comprehensive Simulator for Recommender Systems

Reference 55

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 8e531ac3-1a8e-4e23-ba27-1b7e454083a9 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-05T00:28:26.494756Z digest=sha256:b7b8c917cb8b0628c38dd3428fd9fcb26b40b8888b12b3dea46552f875dd6a61

Observation e6ef8dea-622e-483b-a04e-028c30172fd1 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-05T00:28:27.542656Z digest=sha256:53550414bd9799ff89da565f313abc171d960dbad4570706a7cc39186577eb3a

Observation 80cd5363-288c-4815-a432-294e35c3b5f7 · outbound

This paper cites Pre-training Generative Recommender with Multi-Identifier Item Tokenization.

Hierarchical Residual Policy Optimization for Generative Recommendations Pre-training Generative Recommender with Multi-Identifier Item Tokenization

Reference 58

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Observation 57ce162e-72f4-425b-9e5b-b41147018a58 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 59

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 088474c6-6eba-45df-b297-83a28e53de6d · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 60

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Observation 0364f395-21fb-4555-8e2e-268ec6771198 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 61

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6b4b9b1a-2643-4ccb-ac7c-19209cabf955 · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-05T00:28:27.407789Z digest=sha256:629650d449fdb7b0769919b564721ecd93762c95d0cb23ed96bc952999136922

Observation ff576ea8-c4c4-4c7b-867e-98770bc93160 · outbound

This paper cites InProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Hierarchical Residual Policy Optimization for Generative Recommendations InProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Reference 69

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source=pdf_text observed=2026-08-05T00:28:28.194852Z digest=sha256:3dbbb6ac1800f218a70e9c3ccb3831617c9dcad560832b328707b1bd680e8c2d

Observation 9de1e021-e197-4287-b433-93547b425ccb · outbound

This paper cites https://doi.org/10.1145/2487575.2488200.

Hierarchical Residual Policy Optimization for Generative Recommendations https://doi.org/10.1145/2487575.2488200

Reference 2013

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raw_fallback, observed 2026-08-05T00:28:39.114769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T00:28:21.990246Z digest=sha256:916ccf0a0ab1ec0a35a8158698366b4bbbe820158697efe6d4375aee03c72860

Observation 1bb2910d-60c3-4d34-9d89-f49d2c559ab3 · outbound

This paper cites Trust Region Policy Optimization.

Hierarchical Residual Policy Optimization for Generative Recommendations Trust Region Policy Optimization

Reference 2015

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no resolver link, observed 2026-08-05T00:28:22.831053Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T00:28:22.831053Z digest=sha256:3c21eecf1e49ae396b3767412c38081a724b60e12223bd65a26f74f9edd20023

Observation 48a5cf55-1557-4205-8a48-1c2d51670287 · outbound

This paper cites Session-based Recommendations with Recurrent Neural Networks.

Hierarchical Residual Policy Optimization for Generative Recommendations Session-based Recommendations with Recurrent Neural Networks

Reference 2016

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no resolver link, observed 2026-08-05T00:28:20.504770Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T00:28:20.504770Z digest=sha256:b9e4b7fe9ee378b2367cbed885aa1410ff3cf261ad3c457c7bca0535413c14da

Observation 4634ba9f-fbef-43ce-8b9b-19862d7e9f8e · outbound

This paper cites Proximal Policy Optimization Algorithms.

Hierarchical Residual Policy Optimization for Generative Recommendations Proximal Policy Optimization Algorithms

Reference 2017

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no resolver link, observed 2026-08-05T00:28:23.405912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:23.405912Z digest=sha256:48f0e347aa38b1d309aa6744817b0948ad4db3fd6598fe8f0b1cd0879e0b9037

Observation 58af000d-ae0b-4efd-a84d-d13c41d183ac · outbound

This paper cites an unresolved cited work.

Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 2019

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unresolved
no resolver link, observed 2026-08-05T00:28:28.594848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:28.594848Z digest=sha256:eb2c85caa77729d4be28371cd157a4c1581c121512d8a5933ac32b0c8df890d6

Observation 7d6c69f3-305d-4500-adf2-ef0b9c581616 · outbound

This paper cites InProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Hierarchical Residual Policy Optimization for Generative Recommendations InProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 2025

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no resolver link, observed 2026-08-05T00:28:21.118129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:21.118129Z digest=sha256:70011ec05b716067e6eb86112756415e15d888c9c6e28a65620c8d6bf819a5a7

Observation e6448f35-ae2b-448a-b6ee-c3c499455c11 · outbound

This paper cites https://doi.org/10.48550/arXiv.2511.18793 arXiv:2511.18793 [cs.AI].

Hierarchical Residual Policy Optimization for Generative Recommendations https://doi.org/10.48550/arXiv.2511.18793 arXiv:2511.18793 [cs.AI]

Reference 2026

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verified exact
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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T00:28:26.875167Z digest=sha256:1823e101201116048c101ceb988757c9e0aad7cebbeb95c4b19ae00cd430c932

Pith citing papers

No inbound Pith citation observations are available.