Paper Citation Record · LEDGER

Negative Sampling in Recommendation: A Survey and Future Directions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.07237.

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

pith.paper-citation-record.v1
2409.07237 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:36:52.934202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T04:34:35.266935Z

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 a52c1a3a-a0aa-4556-a590-f28787ef60d4 · inbound

Generating Negative Samples for Multi-Modal Recommendation cites this paper.

Generating Negative Samples for Multi-Modal Recommendation Negative Sampling in Recommendation: A Survey and Future Directions

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T14:36:52.934202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa33a099-bc6d-4253-a812-31e7fcb7059f · inbound

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks cites this paper.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Negative Sampling in Recommendation: A Survey and Future Directions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:17.044475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c60d836-c9d4-40ba-8b84-ca08db48bcde · inbound

Listwise Preference Alignment Optimization for Tail Item Recommendation cites this paper.

Listwise Preference Alignment Optimization for Tail Item Recommendation Negative Sampling in Recommendation: A Survey and Future Directions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:39.712279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fabb560d-9a11-4aea-b9d9-8cf665624c1b · inbound

USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations cites this paper.

USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations Negative Sampling in Recommendation: A Survey and Future Directions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:04.688477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f399c1-d76a-4209-afa1-b5ea67a63976 · inbound

FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets cites this paper.

FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets Negative Sampling in Recommendation: A Survey and Future Directions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T15:17:07.599987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a16d341f-20f6-405a-be22-9990cb11a941 · inbound

Objective Shaping with Hard Negatives: Windowed Partial AUC Optimization for RL-based LLM Recommenders cites this paper.

Objective Shaping with Hard Negatives: Windowed Partial AUC Optimization for RL-based LLM Recommenders Negative Sampling in Recommendation: A Survey and Future Directions

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:06:13.464535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c17f4f6-478e-4d0c-9cdb-4e96308e2e82 · inbound

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization cites this paper.

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization Negative Sampling in Recommendation: A Survey and Future Directions

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:24.638349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 29a0c014-2ac9-41fe-a2fd-2fc99007a334 · inbound

Reinforced Preference Optimization for Reasoning-Augmented Recommendations cites this paper.

Reinforced Preference Optimization for Reasoning-Augmented Recommendations Negative Sampling in Recommendation: A Survey and Future Directions

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T04:34:35.270610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.