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Paper Citation Record · LEDGER

Long-Sequence Recommendation Models Need Decoupled Embeddings

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.02604.

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

pith.paper-citation-record.v1
2410.02604 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:36:33.521372Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:26:42.119845Z

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 9808c984-2bc6-4838-97ea-17eb083deca4 · 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 Long-Sequence Recommendation Models Need Decoupled Embeddings

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T19:36:33.521372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:33.521372Z digest=sha256:592c25b30227beb0907ae5b144ffc55edd39a3305577c0d70361a60854b3bab5

Observation 7d197e57-4004-4c06-bcc4-5e110c62f97a · inbound

Large Foundation Model for Ads Recommendation cites this paper.

Large Foundation Model for Ads Recommendation Long-Sequence Recommendation Models Need Decoupled Embeddings

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.741340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.741340Z digest=sha256:12be1a41c64af020e2cad59a5398b1229ca2deca06a80fab4976138de638e966

Observation be0992e9-98f7-4b3e-ae12-37b8dd3b4e73 · inbound

BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations cites this paper.

BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations Long-Sequence Recommendation Models Need Decoupled Embeddings

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:26:42.122596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T07:20:46.517218Z digest=sha256:a31d0da15f776e5c804d8bb95b49ddb3b1d4c611402e83943d0c6a1807630d5d

Observation 32d6b983-82be-4fdf-a188-a8e875a9e4bf · inbound

Climber-Pilot: A Non-Myopic Generative Recommendation Model Towards Better Instruction-Following cites this paper.

Climber-Pilot: A Non-Myopic Generative Recommendation Model Towards Better Instruction-Following Long-Sequence Recommendation Models Need Decoupled Embeddings

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T23:35:39.405731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:35:39.405731Z digest=sha256:afa94a2f8777ca21f1511e69cf6eae06d8c8af7961db5cbf95ada3d604535db9

Observation f8fe0601-2317-4f68-ab1a-833eab62c052 · inbound

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation cites this paper.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation Long-Sequence Recommendation Models Need Decoupled Embeddings

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:03:01.580027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T16:59:06.735742Z digest=sha256:3cde2626545cc52a8264b00f53d4afc27fcfb3fe7be378f6675e1d0b128bc696