Paper Citation Record · LEDGER

Unified Semantic and ID Representation Learning for Deep Recommenders

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.16474.

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

pith.paper-citation-record.v1
2502.16474 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:14:30.097714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:07:21.678053Z

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 68587cf9-bd20-4fdf-b014-c0fdb8de068a · inbound

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation cites this paper.

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation Unified Semantic and ID Representation Learning for Deep Recommenders

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:20:54.409782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed8cb29e-36c5-4fb1-8356-50a1c2efa545 · inbound

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation cites this paper.

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation Unified Semantic and ID Representation Learning for Deep Recommenders

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T17:14:30.097714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523e134a-1a10-4f8a-b05b-d3b64b05313e · inbound

Mitigating Collaborative Semantic ID Staleness in Generative Retrieval cites this paper.

Mitigating Collaborative Semantic ID Staleness in Generative Retrieval Unified Semantic and ID Representation Learning for Deep Recommenders

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:00:29.470422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e86ac4b-4a49-4dc4-9491-b175f947a6f9 · inbound

GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation cites this paper.

GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation Unified Semantic and ID Representation Learning for Deep Recommenders

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:59:02.880261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b296566a-926f-4942-aac2-66a9446a2816 · inbound

DREAM: Dynamic Refinement of Early Assignment Mappings cites this paper.

DREAM: Dynamic Refinement of Early Assignment Mappings Unified Semantic and ID Representation Learning for Deep Recommenders

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:07:21.679881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d517114-67bb-424d-9d66-1bc20771db72 · inbound

Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation cites this paper.

Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation Unified Semantic and ID Representation Learning for Deep Recommenders

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-31T22:39:48.818662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.