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Paper Citation Record · LEDGER

Generative Recommendation: Towards Next-generation Recommender Paradigm

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2304.03516.

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

pith.paper-citation-record.v1
2304.03516 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:50.758850Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:20:07.235569Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 918a1268-8126-48d8-b7ef-46b488ae5ed4 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.835746Z

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.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:73ccd2bfa90de7a89022df16e87cfb4504a496bbcd6d1474876c415e6549cf2b

Observation 65dd025a-db20-401d-ad23-34493aea22e1 · inbound

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens cites this paper.

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:50.758850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:50.758850Z digest=sha256:d8b80c74e5770868fdb0cb83a51bde303a8461fa1552cfd244d3b2d216c98823

Observation f1763623-42f4-4e9d-b208-ee1f03c8bc0f · inbound

Brownian Bridge Diffusion for Sequential Recommendation cites this paper.

Brownian Bridge Diffusion for Sequential Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:57:08.365182Z

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.

source=pdf_text observed=2026-05-19T05:53:22.577986Z digest=sha256:0e83f5b21087aa3dd5bd3bef9a057f91259fbc70670147ae949309126536534d

Observation 371d56b3-84b8-4d7f-8d52-bb455134dbbf · inbound

Generative Multi-Target Cross-Domain Recommendation cites this paper.

Generative Multi-Target Cross-Domain Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T16:41:40.924134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:41:40.924134Z digest=sha256:0ef877b0726430ef81304409a32ee5bd5c3f009be1d6f144b29bcfc5f82ca7a0

Observation 0cca6623-740f-4b2d-abf4-4f6179272eda · inbound

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View cites this paper.

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-04T13:46:15.783882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:46:15.783882Z digest=sha256:8a2e8333e0acc345790305f5cb8da0dccdde5acbe4318e90c0f72414b92a8a0d

Observation 22bcaacf-690b-4a99-9cf6-b0b1f53705cb · inbound

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation cites this paper.

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:20:54.424104Z

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.

source=pdf_text observed=2026-05-18T05:16:52.798401Z digest=sha256:b37e8cb7212dc6eb033e2d9ddf17c818c01a1661c477548a2fc9388cb17355b8

Observation 762c4f1c-8b19-496d-aa58-dde7b6d65f0e · inbound

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation cites this paper.

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T17:14:32.647152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:14:32.647152Z digest=sha256:72549dce49f64133de9d2e6edf3941b539ca2db29db64d48308b6208a7218e36

Observation b20a6dd3-f0ca-4985-80e4-e4d61d32c399 · inbound

Unleash the Potential of Long Semantic IDs for Generative Recommendation cites this paper.

Unleash the Potential of Long Semantic IDs for Generative Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T06:06:59.114903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:06:59.114903Z digest=sha256:ce6c0c4638c9ba14fa01584cb9f4a0934ef5ea8c9622743b2d3cd9bb85cac4e2

Observation 0233206e-ad8c-4166-830f-820db5dc1f31 · inbound

AgenticRS-Architecture: System Design for Agentic Recommender Systems cites this paper.

AgenticRS-Architecture: System Design for Agentic Recommender Systems Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:23:15.866891Z

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.

source=pdf_text observed=2026-05-14T23:22:11.492062Z digest=sha256:4ce107c472d283bf177e9747ff0d366f574a8858466a20165818682f6ce64fc8

Observation 07af9b05-4f8a-4352-82fa-213ce3685456 · inbound

Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems cites this paper.

Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:18:15.857454Z

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.

source=pdf_text observed=2026-05-14T23:16:50.470350Z digest=sha256:dd65958574fc5eb2d393117542310808aac2a72f81e1bb72f05195b3485db74b

Observation f2baecf2-5b74-44d3-a41f-49766c9df732 · inbound

Noise is not always detrimental: the capacity of quantum batteries is enhanced in black holes cites this paper.

Noise is not always detrimental: the capacity of quantum batteries is enhanced in black holes Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-13T09:29:29.046109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:29:29.046109Z digest=sha256:5d932d67b2d94d8083030e402b7e8e36aae4503eebe8f997773d381aea38f56f

Observation 363dcd45-bbd2-45f1-a635-087766d9f579 · inbound

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation cites this paper.

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:30:50.763542Z

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.

source=pdf_text observed=2026-05-10T19:48:25.382343Z digest=sha256:bfd4fc7e5bd7db5b91909024f5b7f7777ca123445380963b8bbbabc375009348

Observation 1e255bbb-ff62-43ea-8cd1-664fdb36a95a · inbound

Action-Aware Generative Sequence Modeling for Short Video Recommendation cites this paper.

Action-Aware Generative Sequence Modeling for Short Video Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:46:39.967984Z

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.

source=pdf_text observed=2026-05-07T16:20:39.024412Z digest=sha256:e868aa8245eeca8973b809a8f40243ae39f826e451af01421a397b49dc5048ef

Observation e6a5cb3c-a427-4b29-8ff6-f3edabf8c238 · inbound

Factorized Latent Reasoning for LLM-based Recommendation cites this paper.

Factorized Latent Reasoning for LLM-based Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:21:25.767408Z

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.

source=pdf_text observed=2026-05-07T11:19:46.718542Z digest=sha256:93ebe4adebbe3bb8b1e457f15cde86c19db98a33018daae4176cee1ab10fdf5a

Observation a9e80a97-643e-4fc0-b15e-33a6f12ec930 · inbound

TurboGR: An Accelerated Training System for Large-Scale Generative Recommendation cites this paper.

TurboGR: An Accelerated Training System for Large-Scale Generative Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:19:23.539395Z

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.

source=pdf_text observed=2026-05-14T18:18:50.491367Z digest=sha256:b18676f82bca34486b42678c1918c22a5ff56b0c309b88b4d460efe297709bda

Observation 553d3194-084d-4fd1-b7ef-486085942497 · inbound

LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation cites this paper.

LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:33:56.642046Z

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.

source=pdf_text observed=2026-05-21T01:30:03.878197Z digest=sha256:cd27c13f7b621a2074f363ad976f26dda78aa9ab4fb14300259bf487602acacf

Observation 0ca06403-2716-4aef-abc9-1a279122e1ef · inbound

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization cites this paper.

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:56:20.530932Z

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.

source=arxiv_source observed=2026-06-28T14:51:27.110839Z digest=sha256:1db74d9ff8be1d74e6ab0980f63451efd0bb8c192e8d8ede213f29245b9ff841

Observation aa7c91e3-539c-4cc5-9d1a-37efc7d08542 · inbound

Recommendation as Generation: Unifying Personalized Video Generation and Recommendation at Industrial Scale cites this paper.

Recommendation as Generation: Unifying Personalized Video Generation and Recommendation at Industrial Scale Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:20:07.237212Z

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.

source=pdf_text observed=2026-06-25T20:21:09.611166Z digest=sha256:e7798fafbfb53ab0ff1de68d575c4db29c3e7308bbd186ef89340332efa1e8e1

Observation c9f7eb58-6170-46e4-b6e1-65c61b0cc35d · inbound

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale cites this paper.

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-13T02:17:16.415801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T02:17:16.415801Z digest=sha256:7eb3e191fcc75cab2a4cc3ae0acd16f7b886f0b7cb7141f91250e568bdad6fa0

Observation 32c434c6-4d2d-48ed-b12b-199912f86aaa · inbound

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale cites this paper.

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T07:33:46.134679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:46.134679Z digest=sha256:d7a6488482f8d7414716ae6b2609f1651f88eeffc189019b8579c672270d45ad

Observation 14462639-ac2f-4beb-9b8c-8ca551f427a3 · inbound

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models cites this paper.

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T12:15:44.736101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:15:44.736101Z digest=sha256:c71409413931bc0488ec24bc6472d824805977a50a888a2145a2393b7d8db18e

Observation 3f7521cf-968e-42fb-a034-a9af0bf78403 · inbound

VaLiDRec: Variable-Length LLM-Aligned Semantic IDs for Generative Recommendation cites this paper.

VaLiDRec: Variable-Length LLM-Aligned Semantic IDs for Generative Recommendation Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T03:11:39.512692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:11:39.512692Z digest=sha256:70b2b0477d9dbcea63e9c9388aef79dab8cdeb9f6b50b48791ae2aa1c9ff6cea

Observation 953c6e23-eb85-4754-9ca3-2abe5882abf5 · inbound

Grevo: A Unified Generative Recommendation Framework with Evolutionary Item Indexing cites this paper.

Grevo: A Unified Generative Recommendation Framework with Evolutionary Item Indexing Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T02:49:15.374629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:49:15.374629Z digest=sha256:2d9fa1c07dd46f2303c840fff3823b68bff8ade31ca3c01777f75105e2adccc9

Observation b923af57-9303-42f0-a9f6-d5e33bd36f91 · inbound

The Graph Language: How Knowledge Graphs Speak to Large Language Models cites this paper.

The Graph Language: How Knowledge Graphs Speak to Large Language Models Generative Recommendation: Towards Next-generation Recommender Paradigm

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T00:32:09.892574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:32:09.892574Z digest=sha256:fe63488fc95a9bf91cd79ed40b364811bdd18c5bd9de13074c2f25abfea129a8