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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=sha256:7378f67aec99dd7dca1a15c26f365d847ae421e01fde638525e472b2d406de65

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=sha256:064968c1e9c50c83c538dceb57172e24fd6cea610169789b6efeedcf7c2a4363

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:ea709d1e7871243cbb2617b217066e71cff1b70f7dbe436f24329ab738bf319a

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:cdf4b84345432e58c81fd233212ed70741f4ac0b8b5d1d56a1968bbcba85511d

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=sha256:4073e9890a100d49904306164a7fa5c7667664928b7c17db1629819809d8cc32

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=sha256:2e64e4d77c65455536921182677a57bfc912783405fbff4fe621911815ee376b

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=sha256:0a77f55f6cb671d2611a36a36957b42f6a982dc48d09b5ce898f87fb7e814b7e

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:ac0c3036b0be5a3afb892c0b39156a714b7f2eb31031f8ea1d64c2818b539e86

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:ac0cf09b631413c19fa7d4cb5678205e588930023298ba61a4e81f525310a2e3

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:cabb4d80b13bafb436e5dcc25188e300a6fa4b0aa539a0e5d699970df827924b

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:a9e14f5399a764ff2c99374f4064e091dc82419c065493120ddcdf0d082ff30d

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=sha256:5d96b50af27caa96e40ed69d91a2ffa652978b20618fcd742a62872cb249aadb

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=sha256:103a145034c29d984b341f297b0b7f8f34a297b6dc1ac20ab6ef8f9fd4b0c86b

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=sha256:3e8663f883091c39e0463e84accf268b71de24971e0afdc9911a53ed30d4b9e5

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=sha256:915417a1a9586a9656b6f52e34e23880c61e82dad7e4f56b127653cd897f2200

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=sha256:26c5941c950706e97f03c211974792e8b9051e7047d95d0459050da0333b57ed

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:a81d959c29653b29a541b3bfdb2944199908c41f89db42e6c393793a84a75147

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=sha256:5c1e3f2ceefe4c88bdde207f3e21f7abbabe7b136e7e1e175fb1082d01a3bd4e

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=sha256:5bdd997ca6c19bf1d36bd1f198af86fe9f3855ee27f445592134415725ad73a1

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=sha256:90cdd16e21fe86c1457917700248e796fa25ad5f82acc122e18b24b7f906a283

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:d67088501e4765673118ecc6c3363b0c5dae29d5a426e22f3d3f60f2d7482fa7

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=sha256:6a7e465d7cfcc98fad75c9f56c36337fd356ce51f7da3fe7c46d080ec0b8ae79

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=sha256:8248d3e2c9324b9b764574216a2f2b8a1bda7d0cf1c6123b5c0333b3505b0d74

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=sha256:70ba70111b461584e7b2e151798160ed9f9fbd3004179dfae71778445669e454