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Paper Citation Record · LEDGER

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2509.04694.

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

pith.paper-citation-record.v1
2509.04694 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:00:22.577704Z

measured 14 of 14 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e5c1c45-9ca1-4154-9363-5638bdfeaee1 · outbound

This paper cites Towards universal sequence representation learning for recommender systems.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems Towards universal sequence representation learning for recommender systems

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.741241Z

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=2026-08-05T06:00:22.445616Z digest=sha256:e250551058c0abffd81ec8ccb407cd63239380b2231685328139a060785d1c35

Observation b7cad791-19f4-46ef-8ac9-8da168c8daef · outbound

This paper cites A reliable deep representation learning to improve trust-aware recommendation systems.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems A reliable deep representation learning to improve trust-aware recommendation systems

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.732473Z

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=2026-08-05T06:00:22.449188Z digest=sha256:e0b873624c2d994ddb4e09a34631f47b79f2f6b48417164012f75b531d4771dd

Observation ae144dbc-3f0a-4de4-8c66-03b9850cfcd2 · outbound

This paper cites Deepcf: A unified framework of representation learning and matching function learning in recommender system.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems Deepcf: A unified framework of representation learning and matching function learning in recommender system

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.723575Z

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=2026-08-05T06:00:22.452392Z digest=sha256:b3558686ccf570c1e260982e66996c98a7f4a910b974d888a390098e58834c85

Observation 3fd360b4-0ff2-4708-9f99-466c41498df2 · outbound

This paper cites A unified collaborative representation learning for neural-network based recommender systems.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems A unified collaborative representation learning for neural-network based recommender systems

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.714197Z

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=2026-08-05T06:00:22.455434Z digest=sha256:db4ea3c747a9ec3be26a4c154c26ac69efa8b7f4fe6f0101618a008bd5525f10

Observation aa1ed06e-54e2-4cae-857d-e67508eee86d · outbound

This paper cites Knowledge-guided disentangled representation learning for recommender systems.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems Knowledge-guided disentangled representation learning for recommender systems

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.705214Z

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=2026-08-05T06:00:22.549155Z digest=sha256:6c8e9d9ced9dc1ad2187a1831b117ee3468baab57bf26bef56ce752496c1f432

Observation 2cd18d53-45fd-4652-862e-0a6c870651d0 · outbound

This paper cites Representation learning with large language models for recommendation.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems Representation learning with large language models for recommendation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.695600Z

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=2026-08-05T06:00:22.552756Z digest=sha256:209912be9d007f9639d6550c986546592db2df8c54b439e5113abcb71fa836cb

Observation 7e505c5c-4bfb-4e85-b729-ae1ca95c6e4d · outbound

This paper cites CSRec: Rethinking Sequential Recommendation from A Causal Perspective.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems CSRec: Rethinking Sequential Recommendation from A Causal Perspective

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-05T06:00:22.611975Z

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=2026-08-05T06:00:22.556428Z digest=sha256:295790b83f8276f7d4953cc2c943b06abbf337ff5a1cb48ee6a4642bec8d374e

Observation 1405ade4-7865-4e57-b339-96774d4beab5 · outbound

This paper cites Turning dross into gold loss: is bert4rec really better than sasrec?.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems Turning dross into gold loss: is bert4rec really better than sasrec?

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.685427Z

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=2026-08-05T06:00:22.559935Z digest=sha256:a85c56dbcbccdd2c423dd6a8179b6c72e073ca82eb5e6fa24e080e025af1093d

Observation 3168c2d5-614b-4b13-b8ce-68cd0167c99a · outbound

This paper cites Self-attentive sequential recommendation.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems Self-attentive sequential recommendation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.675211Z

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=2026-08-05T06:00:22.563024Z digest=sha256:eb1d1095377a3cda61e372a10ede66dbb3717776f8a2aa8eb126d834fad87ec5

Observation 7e0b7e3e-c49b-4e24-b109-909cfa4c7acc · outbound

This paper cites BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.663841Z

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=2026-08-05T06:00:22.565898Z digest=sha256:4a3da759d1ed29eca134afabbab3d12a6d9bd92946a3de24679b6add140dee82

Observation 809946b3-1962-4886-976e-969788be7506 · outbound

This paper cites S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.652276Z

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=2026-08-05T06:00:22.568909Z digest=sha256:d9c2ab8612e5880c8c90dd063437a5428ad30a63315decee7e137377afaf9e63

Observation e81ca8d1-7c20-4138-952d-053d2c1e308b · outbound

This paper cites Data scarcity in recommendation systems: A survey.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems Data scarcity in recommendation systems: A survey

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.642751Z

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=2026-08-05T06:00:22.571919Z digest=sha256:167d67417794988ed5583ae46e36823cf5e026e862c4e5b76d541c104373556c

Observation 92315588-02b1-4a80-9bba-030164c79477 · outbound

This paper cites A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection,.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.633097Z

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=2026-08-05T06:00:22.574879Z digest=sha256:869215782a85fed3338b2e057a8444935a610fdaf8c985f412637fd13362124b

Observation fd748446-a36a-413b-8465-c7c01984ffdf · outbound

This paper cites Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks.

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:22.623157Z

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=2026-08-05T06:00:22.577704Z digest=sha256:092b0cde86fe89ccc369ba8b6f0ecb125f05c7de15cf5fc55314d94977f72f38

Pith citing papers

No inbound Pith citation observations are available.