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Paper Citation Record · LEDGER

Hierarchical Residual Policy Optimization for Generative Recommendations

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:8090ecf5db1c3db4ac389992608b2770eb4b5b3ccc0be39fbf5f126f72fde533

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 2026-08-20T06:33:59.587034+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:e24991b332b7330d5f95773882bdcd5bf8f9e6af914d12cd49a7a0acaab49ed0

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=sha256:6c3a9fe28f487b992ae4d6ce5064ce636833df05c4a983b78686724ab1879577

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=sha256:4c28d2164b049ae53331468166a6c6bb45c5001807491dbd3989e3195441744e

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=sha256:6365413ef91f7314454a35da796f9eb40034181b19e390753056f35bd6db361c

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=sha256:813c590ab5dc184ce6525a860d34c621b58f736ccacefb123f75f35911edd0e1

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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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 2026-08-20T06:33:59.587034+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

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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

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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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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

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Hierarchical Residual Policy Optimization for Generative Recommendations Unresolved cited work

Reference 38

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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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source=pdf_text observed=2026-08-05T00:28:23.117426Z digest=sha256:8cd0f917f3d12f3982ab7ead37e7dd1c6ec02964762454df8fb490c7797c399d

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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source=pdf_text observed=2026-08-05T00:28:23.847914Z digest=sha256:7fc31b2f58e70c749cfb99d144c0532a61390221d578827c3a3a62961fa7f496

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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source=pdf_text observed=2026-08-05T00:28:25.069452Z digest=sha256:e18d8179f41264499222fc2995d51241692eac8241685ce3ef6db5361d623470

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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no resolver link, observed 2026-08-05T00:28:25.755221Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:25.755221Z digest=sha256:c88ab9043515cd9dd3c71645512548d72b268ea85a6c2b4e22b5c7ce489e4be0

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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source=pdf_text observed=2026-08-05T00:28:23.002111Z digest=sha256:c9efd1cbbfa9067f13c299471dbd392f51a1a2947bc789a885b852f319d2c734

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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no resolver link, observed 2026-08-05T00:28:25.991755Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T00:28:25.991755Z digest=sha256:f2797a1ab3c64c563859acb3ce69b503501489ca9697d797b196deb75cdabc6c

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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verified exact
doi, observed 2026-08-05T00:28:32.001329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:26.045125Z digest=sha256:114ae98bc21ba2ebf35064dbadd9dcbf96e882736e2690d04afaacced7fe112d

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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raw_fallback, observed 2026-08-05T00:28:37.092313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:26.147910Z digest=sha256:37204cca7d70d06bf5e1d5304ed0b32d40fafa1eff1bc775e5bb8246dfb243f6

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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verified exact
doi, observed 2026-08-05T00:28:31.454859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:26.338955Z digest=sha256:679a9b98f3e8f1780efdfa16908e7975bfb29adca19b1d4869e9c7583fe21943

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
doi, observed 2026-08-05T00:28:32.345034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:25.886494Z digest=sha256:3e5383c8670bd72e6758096093113cf994e4e1046cad8af31b61e21290057730

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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no resolver link, observed 2026-08-05T00:28:26.640363Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T00:28:26.640363Z digest=sha256:7a65b9586d2ca6c3c3d78d4920c6cffccdc2495de044d3919cc8ec6480759a07

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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raw_fallback, observed 2026-08-05T00:28:46.804765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:26.776581Z digest=sha256:b04c6ef287868e63cb507584b307d65fa5f6f1e01004ce6f726408cef7624c26

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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no resolver link, observed 2026-08-05T00:28:27.014976Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T00:28:27.014976Z digest=sha256:3344696ace18879f076b1623efaeb79ea7848b9125023ad24b6f8d795fcb7068

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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no resolver link, observed 2026-08-05T00:28:27.166451Z

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source=pdf_text observed=2026-08-05T00:28:27.166451Z digest=sha256:262836cccd4c2d45e2410f64ca4549dfd652890b9f61538803e49d8289d32d5d

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
local_arxiv, observed 2026-08-05T00:28:29.825114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:27.290669Z digest=sha256:5853eee98ab19fc5e1751ffb001e39e15917d546917604739d7d1ac8cd304257

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:f1f3702e7b65a4b92c0fa00dd20ba941853c349b0e6cd438e0dbee3771e2a07c

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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no resolver link, observed 2026-08-05T00:28:27.542656Z

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source=pdf_text observed=2026-08-05T00:28:27.542656Z digest=sha256:fef713b18324484ebf6872cd00283b2d51e1254dd8b27c414e6f21631408af47

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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no resolver link, observed 2026-08-05T00:28:27.721065Z

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source=pdf_text observed=2026-08-05T00:28:27.721065Z digest=sha256:545bd490dbe59ca37fe240c5fa170e30cf05ea8a220f7283444899386e4a1a27

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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:27.896015Z digest=sha256:41b598f73f4a8cc9c06cb98c4570bdd1ffb8e0bfdd135fc549ce0e550c42d2f7

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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source=pdf_text observed=2026-08-05T00:28:28.024819Z digest=sha256:f8703a9277ba9ef9fbf45bef2afa00cda3d5e6e91b29bb624b310d2f3ccfe382

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:28.259231Z digest=sha256:948a7a3ad4d7e94a4dcdeb44d40ab1e444ae5bc9e09bceab8e5767fcc71de36f

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:d3c0a23d23edadc53263b85d22caa262c5f58ea309a4536dd687e160d67e615a

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:a941d38e176b54f08118d9cd835a6ff0b2ea6f83a8d158a781779eb6912aa6ab

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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metadata mismatch
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:21.990246Z digest=sha256:a4fe3cb3fa2d0b01b57e98b987a59eb22c7bb327e5bdfa826f9a5929bdde1eae

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:22.831053Z digest=sha256:0f92e7aa30f3872cf8f31c05d5d197929d157b73711722fbb0b7c827a2e0a576

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:20.504770Z digest=sha256:000eb2a04287af3e120e370b106639db7d63ed2ca40ce3abad70143abb04a53c

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:a8f66d1f86d3da94fce21b8383fca6e0a6a7b0942fb11a2ee53d44361acc68b5

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=sha256:36cd9f4e120a4e6cf3f84115ee8eff46e00f03ea62f54aab2b09ecb020f61a67

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=sha256:45b9e63a84c7d0bcc3e88ce44f7937e6ae292cb87d24e7558406e5460ba7481b

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
doi, observed 2026-08-05T00:28:30.369620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T00:28:26.875167Z digest=sha256:dcb782da9c6d1e67e7dc4d3a2817c180df383707dfedc6d28cddbaf8d2210aca

Pith citing papers

No inbound Pith citation observations are available.