Paper Citation Record · LEDGER

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.03085.

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

pith.paper-citation-record.v1
2406.03085 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:11:41.623658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T10:49:55.799965Z

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 1d96290f-07be-49fa-89b1-b7b680f58f90 · inbound

FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer cites this paper.

FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T10:11:41.623658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f796cdc-2c67-4035-bf06-a5c041727b42 · inbound

Graph Foundation Models for Recommendation: A Comprehensive Survey cites this paper.

Graph Foundation Models for Recommendation: A Comprehensive Survey Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T05:30:26.220345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c2ae321-b960-4464-9fe4-0d5293b1c082 · inbound

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction cites this paper.

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:59.075396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f948c5f-2f32-49a8-90b8-51b2a903eef6 · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T10:34:45.905679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f23f596-73f4-4836-8197-e165c3e4bb60 · inbound

Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks cites this paper.

Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T22:15:26.067141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d9756cd-864f-4ad7-a8c5-1d2510f3d187 · inbound

IE as Cache: Information Extraction Enhanced Agentic Reasoning cites this paper.

IE as Cache: Information Extraction Enhanced Agentic Reasoning Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:49:55.802856Z

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 f7e2102a-cf10-44a3-8bce-242f7ebfcab6 · inbound

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking cites this paper.

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:27:51.766305Z

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 a577a79b-b7bf-497b-865f-90a289c62136 · inbound

Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation cites this paper.

Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:44.566342Z

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 be098445-d32a-4a93-b30c-a1de07b7e9e5 · inbound

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation cites this paper.

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T02:42:44.972815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.