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Paper Citation Record · LEDGER

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 71 inbound Pith citation observations for arXiv:1703.04247.

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

pith.paper-citation-record.v1
1703.04247 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 71 of 71 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 71 of 71 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:34:41.436374Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

542
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c570da57-b62f-4dc2-a678-d4b3de42ccd8 · inbound

Infer Implicit Contexts in Real-time Online-to-Offline Recommendation cites this paper.

Infer Implicit Contexts in Real-time Online-to-Offline Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 9

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local_arxiv, observed 2026-05-25T01:20:10.416487Z

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 d9ffe481-8edc-47ab-a247-710fca758fc7 · inbound

Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training cites this paper.

Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 29

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local_arxiv, observed 2026-05-24T09:16:06.467285Z

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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=2026-05-24T09:15:33.705393Z digest=sha256:e47fe7155ec919774816e827886ee26459056950693ef5bcbf9a3694916d330c

Observation 5948e7cc-6cfd-474d-b0e0-25bb9c653bf3 · inbound

CCNETS: A Modular Causal Learning Framework for Pattern Recognition in Imbalanced Datasets cites this paper.

CCNETS: A Modular Causal Learning Framework for Pattern Recognition in Imbalanced Datasets DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 43

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local_arxiv, observed 2026-05-24T04:33:53.360842Z

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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=2026-05-24T04:31:40.255790Z digest=sha256:3b5c560ee22870dc8ad6a4ce076d3aa9a748517645b41cbf3c871d2e12fa1dc5

Observation 7dec7523-6170-4945-bf74-526635f37684 · inbound

A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting cites this paper.

A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 23

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local_arxiv, observed 2026-05-24T02:23:45.904696Z

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=2026-05-24T02:21:22.149668Z digest=sha256:427ec78cbfbfacc1764d4b899be4b4b5aacbb35be8c81f9f3cd28ceb29c2970a

Observation 0130dee0-3db2-4ddd-8ed8-1e568e8907c6 · inbound

Performance-Driven QUBO for Recommender Systems on Quantum Annealers cites this paper.

Performance-Driven QUBO for Recommender Systems on Quantum Annealers DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 26

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local_arxiv, observed 2026-05-23T19:13:21.415861Z

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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=2026-05-23T19:13:12.641598Z digest=sha256:61b0238cb96f80bf89328a82a2196d33297e5ef7cfa0cb83daafdadd0eb0d903

Observation 2100b315-ed0a-484a-9e8c-e00d81219a0c · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 129

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local_arxiv, observed 2026-05-18T04:33:39.491835Z

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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=2026-05-18T04:33:39.076517Z digest=sha256:96acf0a052610ca5fd86ce66e928855c55f63d0d5d95b0a9a572c72116f0da8e

Observation 7679584b-96cb-4664-9329-b0b9faef8e75 · inbound

Exploring Vision Neural Network Pruning via Screening Methodology cites this paper.

Exploring Vision Neural Network Pruning via Screening Methodology DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 9

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local_arxiv, observed 2026-05-23T03:35:20.988836Z

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

source=arxiv_source observed=2026-05-23T03:33:15.015365Z digest=sha256:88bbb6c74caba045dd2a835f9b2bf88f029b266c55fa0813d60da4db08737f45

Observation f2a062cd-1e88-4496-b446-1f130d71ed76 · inbound

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

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 16

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arxiv_id, observed 2026-05-12T18:30:35.898767Z

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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=2026-05-12T18:30:35.796271Z digest=sha256:8d9ede1d3e5c3e817f3186f30a73c0b0366eb74d340990f88697787c60bda5c5

Observation 37aa1b8d-19dd-4342-852b-225e87d5282b · inbound

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization cites this paper.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 6

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source=pdf_text observed=2026-08-07T05:34:41.436374Z digest=sha256:e44259d0c5652f5b54b32b8404e295d6d2f7f522a01059a7fd70dcaba95a6053

Observation 5c379fc8-cb32-422e-b30a-727b680e3c7c · inbound

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking cites this paper.

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 14

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source=pdf_text observed=2026-08-07T05:16:49.230436Z digest=sha256:55a5c3378fe450a94515db28574d9712be0c327956b3674926c3fa746b0556d5

Observation e8658f6a-40a0-4523-9a2e-3742904095a6 · inbound

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation cites this paper.

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 8

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source=pdf_text observed=2026-08-07T04:30:57.296930Z digest=sha256:b426bd944fbb6441c49df1b538e653daa633b94f2c73833b56c76d0df655ab28

Observation 70358401-2770-4e5c-b3b8-ea281b3953a8 · inbound

Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn cites this paper.

Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 13

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source=pdf_text observed=2026-08-07T00:47:58.603139Z digest=sha256:7cdcbee130d6d6c0d415c9807087b026cda55552b717f6ed21eb4817a58a20da

Observation 28801878-da4f-4c7c-8d31-ec04558d3def · inbound

RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1 cites this paper.

RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1 DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 10

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source=pdf_text observed=2026-08-06T23:12:31.633989Z digest=sha256:ce17c36931501552085e34a89610ed12b441b6d78fa8f091d335c89105cf9955

Observation b7eaf023-5bbf-4304-bb14-7ce72864c07d · inbound

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning cites this paper.

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 44

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source=pdf_text observed=2026-08-06T20:29:43.257364Z digest=sha256:4a9b9547f2e7ec00afb082c3554b5be29a7b13e70cfb152f83b53b406b625e10

Observation daf7274c-50e0-4aba-b2a2-0abdc3030936 · inbound

Estimating Quantum Execution Requirements for Feature Selection in Recommender Systems Using Extreme Value Theory cites this paper.

Estimating Quantum Execution Requirements for Feature Selection in Recommender Systems Using Extreme Value Theory DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 14

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source=pdf_text observed=2026-08-06T20:20:55.331472Z digest=sha256:721b04436a7ee1d44f28661e75510fac54136de41b7f7458a5e7ec8c6d181569

Observation 4afbee8e-e7a6-4c79-9c1e-d7f9f61046bd · inbound

GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation cites this paper.

GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 13

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source=pdf_text observed=2026-08-06T19:36:33.523801Z digest=sha256:0d66225dad0ec57ceb669962dbe6c81a8ee6ffe0fb288af18e98a8f339ca7972

Observation 43f8cee4-0ffd-417c-803b-897c165fb643 · inbound

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering cites this paper.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 23

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source=pdf_text observed=2026-08-06T17:43:53.703634Z digest=sha256:1c7cf07d63ab1f82b7ea55da72955fae75e3e62880d353c074d86ca9501b82a5

Observation a821f3dd-2b66-4a60-95f1-0fcd929723bd · inbound

RankMixer: Scaling Up Ranking Models in Industrial Recommenders cites this paper.

RankMixer: Scaling Up Ranking Models in Industrial Recommenders DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 11

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source=pdf_text observed=2026-08-06T15:35:48.352632Z digest=sha256:e3d66d91c27a3e91f096ed3889a1631d16c90cfa506486d9351717faf0cb498b

Observation e2f4918d-f6b7-4df5-ada0-361c28c6a0aa · inbound

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems cites this paper.

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 15

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source=pdf_text observed=2026-08-06T14:58:23.719297Z digest=sha256:639d86838fb4543868cc20038440bfe87ebca78d02182a1aaa87f3fb1207a003

Observation 8bb4353b-b275-4670-b8aa-89f9bcccfe24 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 85

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source=arxiv_source observed=2026-08-06T13:05:35.444102Z digest=sha256:ee6a8d1c95205dc3b5d5137968272e43410688b4d0654d7f36f9581b4725dd48

Observation dbcace41-8f1c-4683-8a1c-93b77c2ffc34 · inbound

Large Foundation Model for Ads Recommendation cites this paper.

Large Foundation Model for Ads Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 18

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source=pdf_text observed=2026-08-05T18:30:08.945768Z digest=sha256:8e25dc87a101dc688c064758ae6f7c18c403a1256e5c3b3cb220cc5af579dad9

Observation f9cfa669-f6db-4088-a826-59e5e3a7b314 · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 13

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source=pdf_text observed=2026-08-05T18:02:16.823293Z digest=sha256:7ac57ec6bc386e0e4f502c13eb21632863c95924424c56d07fc050433494aa2a

Observation bcf10053-30e6-4b08-b0cd-ae3df66e4500 · inbound

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets cites this paper.

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 18

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source=pdf_text observed=2026-08-05T14:46:18.534700Z digest=sha256:07b50b90927c492d97f929ced8c603119ba9f5cbdc8ee40f91c7981f683a3bd1

Observation 09dd2363-93b1-4df2-845a-ff3abe77ef6b · inbound

Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction cites this paper.

Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 11

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source=pdf_text observed=2026-08-05T14:23:22.413390Z digest=sha256:17b257f607fa786cfb6820fe6453e79014c62a583248704f589c7088c94ab854

Observation a5d6b8e7-72ea-4702-860a-48b1da6f2245 · inbound

MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction cites this paper.

MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 15

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source=pdf_text observed=2026-08-05T12:54:21.438714Z digest=sha256:b77ffd4ca62e87ce9f06412572a9232fc36a840fdffde9e2dbf81164018276c5

Observation 8087ed37-5d62-4b5c-81af-305d54f14eb6 · inbound

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting cites this paper.

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 4

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source=pdf_text observed=2026-08-05T12:03:18.188712Z digest=sha256:8b4875338f1ba0cf6391c9f73f5bb6fbc7ef51e9218e831c718d138c437e7af6

Observation b203a3a7-e515-47d8-932d-2d1318d168a3 · inbound

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples cites this paper.

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 12

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source=pdf_text observed=2026-08-05T11:11:37.601747Z digest=sha256:00f36222aef393968dd18eac438c45c3d8b33041d75be8b1d2abca48134fe97f

Observation 1cad0b05-40bc-4976-8c61-56d2bb7966c7 · inbound

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models cites this paper.

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 5

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source=pdf_text observed=2026-08-04T22:32:17.575063Z digest=sha256:b470a5e5ba99c578dfe96890a4c5668a429bf39671e1e3c5415be0bf06d7d496

Observation e2070bf0-25ba-40f0-aa20-22e68e569ee4 · inbound

Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs cites this paper.

Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 6

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source=pdf_text observed=2026-08-05T20:01:34.157888Z digest=sha256:e6338acfa042203553c1b73936ad2e3f40a2891ac80e9aa3973999127854038c

Observation 4b92704b-9fde-41d1-84ae-41b15272b7b3 · inbound

Decoupled Multimodal Fusion for User Interest Modeling in Click-Through Rate Prediction cites this paper.

Decoupled Multimodal Fusion for User Interest Modeling in Click-Through Rate Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 1

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local_arxiv, observed 2026-05-18T08:11:06.776631Z

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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=2026-05-18T08:09:48.310568Z digest=sha256:ee30d97231cdc0c748e1c9acdb11107a20294575459ec59830971b77be63abeb

Observation cd811820-6e19-4db6-bffc-9b33453b82fa · inbound

From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction cites this paper.

From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 4

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source=pdf_text observed=2026-08-03T22:08:55.028107Z digest=sha256:2965bffcebda0f7f62d38899726318f9870292ca5687bc4d84d5a78bfa136990

Observation aedf5704-43d9-4f40-8954-2927f9bfa854 · inbound

xGR: Efficient Generative Recommendation Serving at Scale cites this paper.

xGR: Efficient Generative Recommendation Serving at Scale DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 13

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source=pdf_text observed=2026-08-03T16:54:15.997576Z digest=sha256:e73bcb627f64897485316671658db728b05e91c5dc40375fe504a5f4da9a97d0

Observation 47701252-07a2-41a7-ba73-9cde37603517 · inbound

HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencent cites this paper.

HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencent DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 11

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source=pdf_text observed=2026-08-03T13:20:03.082108Z digest=sha256:416e14332b4d8a0cad7e5a63b5106bf2a8d2e24b590fa64770ee144e4df8be2c

Observation dacf91c2-4bc7-4088-969b-5dc80285a8ec · inbound

Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation cites this paper.

Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 9

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source=pdf_text observed=2026-08-03T00:06:24.477215Z digest=sha256:69445189f0b4b95150c59d99b2e5cbd078a847fb4eb22d4148fbf23f9f935e7a

Observation 475624c9-069b-4863-8ec8-7fed8f96189f · inbound

No Need to Train Your RDB Foundation Model cites this paper.

No Need to Train Your RDB Foundation Model DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:33:31.485709Z digest=sha256:ec18546e6f76f5283074f3a8f682bea00b09d553d583e6aebcb2aec46b784c80

Observation 3ce964e6-4aa2-4d96-9650-943e37b85ea7 · inbound

Joint Model Parameter Scaling and Universal-Domain Data Integration for E-commerce Search Ranking cites this paper.

Joint Model Parameter Scaling and Universal-Domain Data Integration for E-commerce Search Ranking DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:55:26.168122Z

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=2026-05-25T06:52:50.606682Z digest=sha256:408634d9b48dfdab8761231d3d446b94e9e4116d520a5156cd2e47096f297cfe

Observation 1f59b7c4-5ac4-4893-8350-19a7122ce8c2 · inbound

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

MBGR: Multi-Business Prediction for Generative Recommendation at Meituan DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:18:09.321465Z

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=2026-05-13T19:16:17.841338Z digest=sha256:98754e048477c74cde2e016eafd8c988fca45c351c45572ecd2c87e051ae74f5

Observation 6c44e811-f46f-4426-a0f9-f18c9f1fa130 · inbound

Next-Scale Generative Reranking: A Tree-based Generative Rerank Method at Meituan cites this paper.

Next-Scale Generative Reranking: A Tree-based Generative Rerank Method at Meituan DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:20:49.304674Z

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=2026-05-10T19:55:30.019335Z digest=sha256:c7aa6e87d0acddc6fb197cf130740a6bfffa721e6b1d4b1f5859a217b406b5cf

Observation 7bd9a8da-c326-47c1-b0db-6da3a189e598 · inbound

Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation cites this paper.

Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:41:04.299951Z

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=2026-05-10T17:58:52.846532Z digest=sha256:d46d132732a896dc6c94b362a507b0d80aab57132ec80b573ae82aaf88b62879

Observation 8b99e232-618c-4056-b050-2d6306982f0c · inbound

Deep Situation-Aware Interaction Network for Click-Through Rate Prediction cites this paper.

Deep Situation-Aware Interaction Network for Click-Through Rate Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:11:04.375310Z

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=2026-05-10T15:35:44.770946Z digest=sha256:5fc0ad1dfcab6aa24b1e6bddff39e151790af99aff95d2dba9a298e6010cd618

Observation de76c723-542d-49be-8d77-3d7b827b7e74 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:04.700155Z

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=2026-05-10T04:09:10.125285Z digest=sha256:b5faf6a114d67d6b3b29109748356464ff3e7913218aeb8177de021b55b2c12a

Observation 45607094-fe6f-477b-a6c8-21848cd50664 · inbound

Revisiting Content-Based Music Recommendation: Efficient Feature Aggregation from Large-Scale Music Models cites this paper.

Revisiting Content-Based Music Recommendation: Efficient Feature Aggregation from Large-Scale Music Models DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-16T02:40:30.842712Z

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=2026-05-16T02:39:46.434831Z digest=sha256:add769f3b5545175bf344965f9bc2ff9f64a6f084bbccdbaf2129527465fa5bc

Observation 71ba4d3b-fd70-434a-b090-3994ad7caa9d · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:31:22.201486Z

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=2026-05-15T17:30:44.919870Z digest=sha256:8b92da2e3c1978a0ae92fda0a50209ffd97b5c4808a2e8e6927ae8440eff8dfa

Observation 99aa8fd8-0fc3-4845-82fe-fb7e0c3b7ab3 · inbound

Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective cites this paper.

Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:25.471885Z

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=2026-05-07T13:35:04.275253Z digest=sha256:a7e51a101c5255aa057a95d0db2d556e4abe7b0bc7cbd4ca1a2fbd47e4ba82e1

Observation 8ca5240f-6ea7-423a-b755-8dd4906de8b6 · inbound

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation cites this paper.

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:06.434783Z

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=2026-05-08T16:28:47.356432Z digest=sha256:6baedd18c0ca39e83b9e2d210efa1ead2c082da8a60b888492b86a56ef83733b

Observation 3842a0c0-f81d-4c14-8b49-074e6a5a22fb · inbound

Light-FMP: Lightweight Feature and Model Pruning for Enhanced Deep Recommender Systems cites this paper.

Light-FMP: Lightweight Feature and Model Pruning for Enhanced Deep Recommender Systems DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:14.905084Z

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=2026-05-08T05:44:34.187455Z digest=sha256:7c6c9299c4879b5c5639aa55c3c937c22720d1c797a02b770cccc70fd1dd73d3

Observation a1b8bb27-94c3-44f2-96a9-3e8fd56083cb · inbound

PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents cites this paper.

PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.410131Z

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=2026-05-11T00:54:39.349292Z digest=sha256:e76991b56ce7196d0548f2c696ec7dac77deab598ef76cc1800845f321d6e98f

Observation 64acfc40-200f-4d1e-b011-d53254223119 · inbound

Generative Long-term User Interest Modeling for Click-Through Rate Prediction cites this paper.

Generative Long-term User Interest Modeling for Click-Through Rate Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-19T22:22:49.418886Z

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=2026-05-19T22:19:59.483142Z digest=sha256:56c3bbf2ed102aa2a11c2ab0403d93944fba4a9a2f6826a35a5131fd2e68bb77

Observation 4c844d2b-46c9-45c6-844d-49c4265e5885 · inbound

Building a privacy-preserving Federated Recommender system for mobile devices cites this paper.

Building a privacy-preserving Federated Recommender system for mobile devices DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:20:24.400336Z

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=2026-05-25T06:17:54.217695Z digest=sha256:2b34fc4aab164b92777bc3f40ec4533020c724ce8bdbabac940dd2cb7f2d1bac

Observation b18b8cbc-262a-43bc-aaad-bbce700540f6 · inbound

Building a privacy-preserving Federated Recommender system for mobile devices cites this paper.

Building a privacy-preserving Federated Recommender system for mobile devices DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:44:55.907683Z

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=2026-06-30T16:42:29.061083Z digest=sha256:5be7161b38db153f14adfd14653c1b3ee2b7f4b7b2d44811b4984eb113209c57

Observation f246fecd-366b-4c66-8e7e-04bbbc4909ed · inbound

From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark cites this paper.

From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-06-29T20:53:58.189545Z

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=2026-06-29T20:49:45.096493Z digest=sha256:d54bb68dd962c0fd7fa91cd74c8a907f1754b08ad1d87bfabee6895686ae2898

Observation d92614be-7c66-4268-82ad-b7ca4d2b3651 · inbound

On the Practice of Scaling Search Conversion Rate Prediction cites this paper.

On the Practice of Scaling Search Conversion Rate Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-29T15:03:31.980498Z

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=2026-06-29T06:04:05.505743Z digest=sha256:ffde661963d86f2af0a1d436d8d62a6a1772b5bfc0fc9d6b9977aa39fd14fd46

Observation 9abe538e-9c9e-4535-ae2f-fd9705560412 · inbound

Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems cites this paper.

Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T20:42:37.303627Z

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=arxiv_source observed=2026-06-28T20:34:38.729275Z digest=sha256:8a3d66edb3bada8af02ae7ab1af8f09703b1b97d956a873ea52974214ba5112d

Observation 08196bce-e3e6-4ea8-9ec9-93c9f2097e89 · inbound

Rethinking Sales Lead Scoring with LLM-based Hierarchical Preference Ranking cites this paper.

Rethinking Sales Lead Scoring with LLM-based Hierarchical Preference Ranking DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-02T10:56:53.306738Z

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=2026-06-28T04:44:42.994771Z digest=sha256:7dec666e8083ed13c758c03c57fd909d678695af9665727fea35caae05f8a0ef

Observation 2bfeeee2-140f-46cc-9f79-99e7d3c42649 · inbound

Dual-Stream MLP is All You Need for CTR Prediction cites this paper.

Dual-Stream MLP is All You Need for CTR Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-02T11:26:54.284824Z

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=2026-06-28T03:59:26.041419Z digest=sha256:d80aa6dfb7eacf850d36e1e0a167f838f76c17f176564175b7f0908d3537315c

Observation b05f47ae-e1ab-4118-9d9d-fb39ecc58adc · inbound

DeRes: Decoupling Residual Stability and Adaptivity for Scalable CTR Prediction cites this paper.

DeRes: Decoupling Residual Stability and Adaptivity for Scalable CTR Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-02T21:57:25.824097Z

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=2026-06-27T19:24:00.412682Z digest=sha256:6678c731d5bb6351b270fb519ef19857f909db345a91bae29d33c8841eeb3a87

Observation e8c51a24-6597-41f9-8c28-56fe5e1225ea · inbound

UniFormer: Efficient and Unified Model-Centric Scaling for Industrial Recommendation cites this paper.

UniFormer: Efficient and Unified Model-Centric Scaling for Industrial Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-04T14:49:56.186186Z

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=2026-06-26T02:13:52.391765Z digest=sha256:e4d3f7c2e2d34af6d6bba870f05b6925dafe92d96bc43e6d4e9ee321a2ed84ec

Observation 20bff036-b8c3-464c-88fe-4d5dbfd6da14 · inbound

POEM: Partial-Order Enhanced Real-Time Sequential Modeling for Recommendation cites this paper.

POEM: Partial-Order Enhanced Real-Time Sequential Modeling for Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:44:56.540981Z

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=2026-06-30T04:36:57.734719Z digest=sha256:bad4f97bee6e07de33b449a0e2d1aa83fdcc1c11739b514d17a18cd4ec07f454

Observation f6086048-b1a9-4589-8f30-02e04000f5b4 · inbound

UniSGR: Unified Framework for Semantic ID Generation and Ranking cites this paper.

UniSGR: Unified Framework for Semantic ID Generation and Ranking DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T21:55:00.514210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:55:00.514210Z digest=sha256:3f38cbe39171b101cf9f2104a8311ef6cb8f9323ced0dedff3ad74c62283366a

Observation 7f61287d-1022-403d-b8a2-481ff49c2367 · inbound

TMallGS: Scaling Unified Feature and Sequence Modeling for Generative E-commerce Search cites this paper.

TMallGS: Scaling Unified Feature and Sequence Modeling for Generative E-commerce Search DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T05:22:04.121871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:22:04.121871Z digest=sha256:8597726fc005c294ecb1b7d800876320384d80b4188448ef0882a9f935e16784

Observation 2b3b0793-dc4c-4a4b-a4b2-f247ee3b9db2 · inbound

How Does Empowering Users with Greater System Control Affect News Filter Bubbles? cites this paper.

How Does Empowering Users with Greater System Control Affect News Filter Bubbles? DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 206

Resolution
unresolved
no resolver link, observed 2026-08-02T12:17:00.815254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:17:00.815254Z digest=sha256:7ddae9b4909af9536cc9da12b0d146be45782476f53a210942cc5b62eb9846d0

Observation c90b33a8-1332-41d6-9d03-380fb4bbea17 · inbound

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture cites this paper.

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T19:18:42.489213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:18:42.489213Z digest=sha256:d8a1b46ab04b4795d6f2f50bcd91e379de236a26fb5973731bf3a0e9ae5cd154

Observation dc53f03a-446e-4663-8d34-316bd82d7599 · inbound

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture cites this paper.

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T04:17:56.597625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:17:56.597625Z digest=sha256:a18c2e4e47a8c4d721b8b5340f2c4db3925e29a842056bdb0920de1c460412db

Observation 0ac32eb1-1a5c-45b6-be3e-bd0770472181 · inbound

Bridging the Structural Gap: Adapting Autoregressive Generation for Recommendation cites this paper.

Bridging the Structural Gap: Adapting Autoregressive Generation for Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T08:44:51.249908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:44:51.249908Z digest=sha256:3e6bdb556d4d16158e0c7656628c64c2b1cc2399a017d5b313a812e051cccdb1

Observation def7fe0a-88e6-475d-a1d6-9788a5a33b02 · inbound

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation cites this paper.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T23:20:18.961533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:20:18.961533Z digest=sha256:f2888a699924f7085e984e6e661af33f47844b3fbac14408e001712528d7f1e5

Observation 016fcee9-a7fb-46d8-bf86-39e88c92c481 · inbound

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation cites this paper.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T04:02:20.016540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:02:20.016540Z digest=sha256:6f124c64e838aae12d598447757b350f801af624e786208c1e8fed1efa2f1b1a

Observation bb10061f-6c40-4c1e-8d2c-4a0ab1ee993b · inbound

Beyond Action Imitation: Learning a Decision-Aware User Simulator for Online Advertising cites this paper.

Beyond Action Imitation: Learning a Decision-Aware User Simulator for Online Advertising DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-30T17:56:01.419878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T17:56:01.419878Z digest=sha256:69543e3e49a382b15f44534684e0ff710f248b348edd9e40643426af9176f864

Observation 74f2fa79-0ada-47aa-b57d-79da4e69127f · inbound

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval cites this paper.

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T07:21:46.127326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:21:46.127326Z digest=sha256:8a21135256885ae7847bec677e2ba07be68c1e2d7468df72c1f49c174b710d9d

Observation 868a7035-e783-4bbb-9d79-e5ae794f3da7 · inbound

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval cites this paper.

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T01:45:21.352600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:45:21.352600Z digest=sha256:4c0fd8a0c2848ec7af1ff2d1dfe04ea319933bc240b14e48fd5856b88657206b

Observation 0e64f447-12d0-43e4-9ad7-9cd4eb7d2950 · inbound

CCFormer: Efficient Cross-Field Interaction and Hierarchical Sequence Compression for Industrial Recommendation at Tencent cites this paper.

CCFormer: Efficient Cross-Field Interaction and Hierarchical Sequence Compression for Industrial Recommendation at Tencent DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 13

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unresolved
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TransX: Scaling Transformer-based Recommendation via Behavioral and Serving Stream Crossings cites this paper.

TransX: Scaling Transformer-based Recommendation via Behavioral and Serving Stream Crossings DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 12

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