Paper Citation Record · LEDGER

Towards Large-scale Generative Ranking

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2505.04180.

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

pith.paper-citation-record.v1
2505.04180 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:14:40.125040Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3360218f-bb60-44bf-abdd-241078655be1 · inbound

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models cites this paper.

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models Towards Large-scale Generative Ranking

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:03.798087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f1671a-3711-4566-adbc-9aa7e288e019 · inbound

Request-Only Optimization for Recommendation Systems cites this paper.

Request-Only Optimization for Recommendation Systems Towards Large-scale Generative Ranking

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:53.793746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7b02637-e695-49a1-8316-85e291967c19 · inbound

Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models cites this paper.

Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models Towards Large-scale Generative Ranking

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T16:19:07.455503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e856c2c2-3cff-49ee-afaa-f0d9515bf8c3 · inbound

A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives cites this paper.

A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives Towards Large-scale Generative Ranking

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T04:42:44.463434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 892bfbfd-6cdc-4ac5-9ede-292132600206 · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks Towards Large-scale Generative Ranking

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:50:52.163903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 919ffd54-4da3-4693-a16d-0c8f05a7cea9 · inbound

End-to-End Semantic ID Generation for Generative Advertisement Recommendation cites this paper.

End-to-End Semantic ID Generation for Generative Advertisement Recommendation Towards Large-scale Generative Ranking

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:54:51.403162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2df4c1aa-544a-45e9-9d88-47986ffc52f1 · inbound

MBGR: Multi-Business Prediction for Generative Recommendation at Meituan cites this paper.

MBGR: Multi-Business Prediction for Generative Recommendation at Meituan Towards Large-scale Generative Ranking

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:18:09.327198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d57a1c5-8c2c-4b9b-b475-2689fd23b76e · inbound

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation cites this paper.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Towards Large-scale Generative Ranking

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.175399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb4a2dec-371e-479b-9ba8-3c4c7a379636 · inbound

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation cites this paper.

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation Towards Large-scale Generative Ranking

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:01:18.491532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 463ea0e6-c82a-4013-95bf-bc0cd11fb5ef · inbound

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation cites this paper.

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation Towards Large-scale Generative Ranking

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T19:15:40.698549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f3e989-6ed3-4595-969b-fb05590f71fb · inbound

MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches cites this paper.

MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches Towards Large-scale Generative Ranking

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:07.763341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bc0ff1c2-c8aa-435b-af56-0eaaf2827d50 · inbound

Limitations of LTI Koopman Modeling for Nonlinear Control Systems cites this paper.

Limitations of LTI Koopman Modeling for Nonlinear Control Systems Towards Large-scale Generative Ranking

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:15:43.608143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f718d530-21f1-41b1-825d-b5578006776b · inbound

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space cites this paper.

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space Towards Large-scale Generative Ranking

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:11:17.056106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 402235e1-ba90-4224-9bac-fef0e6835e7c · inbound

One Pool, Two Caches: Adaptive HBM Partitioning for Accelerating Generative Recommender Serving cites this paper.

One Pool, Two Caches: Adaptive HBM Partitioning for Accelerating Generative Recommender Serving Towards Large-scale Generative Ranking

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-08T19:49:07.382341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 739198b6-7c8c-4d88-9d5f-743f31a4568e · inbound

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation cites this paper.

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation Towards Large-scale Generative Ranking

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:10:43.281551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b083fdfa-1a95-41af-81ca-33027d5e44aa · inbound

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation cites this paper.

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation Towards Large-scale Generative Ranking

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:53:51.757491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a6bfc8f1-9ca4-42d5-bb72-d52ad5c90883 · inbound

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation cites this paper.

TriAlignGR: Triangular Multitask Alignment with Multimodal Deep Interest Mining for Generative Recommendation Towards Large-scale Generative Ranking

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:15:09.140799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 39ca6766-ce76-46cc-b328-e0c777dc2152 · inbound

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent cites this paper.

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent Towards Large-scale Generative Ranking

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:26.021045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e0dc2492-8981-422c-a70c-e085902c949f · inbound

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent cites this paper.

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent Towards Large-scale Generative Ranking

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T14:47:54.548933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a7d61cb-b222-4f14-853c-fad79732f393 · inbound

Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization cites this paper.

Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization Towards Large-scale Generative Ranking

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:49:38.097978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b53422d2-9a97-4873-888e-23ae2b9975ea · inbound

Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization cites this paper.

Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization Towards Large-scale Generative Ranking

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T05:13:09.699709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3123c7f6-5da8-439f-913e-0203c17e5819 · inbound

UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale cites this paper.

UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale Towards Large-scale Generative Ranking

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:36.720977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b0f47834-4499-47ea-b507-f3abe4e83938 · inbound

SSRLive: Live Streaming Recommendation with Dynamic Semantic ID cites this paper.

SSRLive: Live Streaming Recommendation with Dynamic Semantic ID Towards Large-scale Generative Ranking

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:07:21.815902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 44f426ed-c7ca-437c-88eb-95a1b849efcd · inbound

Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models cites this paper.

Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models Towards Large-scale Generative Ranking

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:25.514233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 53585050-0693-4756-8fde-d492ef40c496 · inbound

Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models cites this paper.

Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models Towards Large-scale Generative Ranking

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T10:53:50.228667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51eb0e2-922f-4d7d-a737-3e2e72c858e3 · inbound

TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems cites this paper.

TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems Towards Large-scale Generative Ranking

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:00:06.197062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 83eada5f-bfbd-47b6-a2d8-c1c41a2c736b · inbound

GenPage: Towards End-to-End Generative Homepage Construction at Netflix cites this paper.

GenPage: Towards End-to-End Generative Homepage Construction at Netflix Towards Large-scale Generative Ranking

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:55:42.341947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 84b4d87f-bc10-4128-824d-6b388730c9c6 · inbound

TSGR: Taobao Search Generative Retrieval cites this paper.

TSGR: Taobao Search Generative Retrieval Towards Large-scale Generative Ranking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T14:25:21.182340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc0076f2-d72c-47c2-8ddb-6b054fc43744 · inbound

LLM-Based Generative Retrieval for Snapchat Content Recommendation cites this paper.

LLM-Based Generative Retrieval for Snapchat Content Recommendation Towards Large-scale Generative Ranking

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T01:29:03.742585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9666522f-6c3a-48e7-8d3b-6dd8fa2aff72 · inbound

Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation cites this paper.

Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation Towards Large-scale Generative Ranking

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:40.125040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.