Paper Citation Record · LEDGER

Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.00430.

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

pith.paper-citation-record.v1
2412.00430 v6

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 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:55:55.058375Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:29:41.982741Z

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 c2a1f7cc-3f82-481e-a66a-c625f28a61d1 · inbound

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation cites this paper.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.058375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f781cc6a-32a8-4abe-ba9d-1cb0de242e4c · inbound

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

FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T10:11:41.620939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ca6fd4-82d1-4379-88a2-bafea2e8f5d5 · 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 Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:59.067136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9485fd89-4f0d-4cf6-9128-78d3b8fe64f8 · inbound

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model cites this paper.

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T20:25:12.035167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 120cf197-ba00-4293-a067-7d23b3f8a7a9 · inbound

Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling cites this paper.

Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T21:17:43.595591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4f6957a-a75f-4ac2-ac98-c0505b3cb6d4 · 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 Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T10:34:45.796445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aec0546-7f1c-47b0-90d2-ebb4f5042254 · inbound

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

IE as Cache: Information Extraction Enhanced Agentic Reasoning Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:49:55.775516Z

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.

Observation 198060f0-6c71-42e6-85c4-a645cd4ac22c · inbound

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders cites this paper.

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:29:41.984308Z

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.