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Paper Citation Record · LEDGER

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2608.06997.

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

pith.paper-citation-record.v1
2608.06997 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:58:44.331492Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

12 of 12 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b88ae18-c5e5-4fa2-a401-736c2fc0f401 · outbound

This paper cites CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:58:44.583964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:58:44.173570Z digest=sha256:3b9020b20a0196456b3e69e5f0160f3e6ea1cd3b0467ace6dfeffcd02f476535

Observation e2d04087-4b64-4c66-a9c2-a7dcde6a4745 · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:44.191433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:44.191433Z digest=sha256:32a0de40518f2e59ab42026199fa7a7fbc13711656b87124df0ea2eff30c0f4f

Observation 18874f2a-0246-4119-8f1f-09d433a47f2e · outbound

This paper cites GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:44.269188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:44.269188Z digest=sha256:6c2e73d84d36cdd82d86773c54ea11a48e3d85bbfff31b85da09b2ccba8e71ca

Observation 4370905e-3c37-44fd-97ad-2673888e8baf · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:44.306297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:44.306297Z digest=sha256:f87c57a784acce29af32b6dc31c5f73d8d0ff2aa1ae3c281ded1d35d56db91ed

Observation 242b9b6f-fb64-41ab-8c8b-2f800ec5c9ab · outbound

This paper cites Cross-Domain Recommendation: Challenges, Progress, and Prospects.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:44.331492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:44.331492Z digest=sha256:9ff8e9f30eb766513824644b2a0d534aee5e7a51552ae003737c0138204622a5

Observation 16bc943f-5121-4950-beea-cf82c7f35cf0 · outbound

This paper cites Generative Multi-Target Cross-Domain Recommendation.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation Generative Multi-Target Cross-Domain Recommendation

Reference 2016

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:58:44.450947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:58:44.227717Z digest=sha256:8ce7bcd7e706ae45112313f44231fe2c457e3c10305293fe01f21be9975dea6f

Observation 3f34ff94-07e8-47db-8cd4-d1174c4d33b6 · outbound

This paper cites Sequential recommendation via stochastic self-attention.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation Sequential recommendation via stochastic self-attention

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:44.629195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:58:44.204634Z digest=sha256:61f49fbf56536572cc9da33c8610b9c1501abc411927be833309ed8f55addfc2

Observation e0d59d49-767b-4c12-8659-6b0a609c5262 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:44.179999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:44.179999Z digest=sha256:3acd092069129fbe329be2cee6a6175094992720c93b2e31b2e867c602c3e7d4

Observation 8a8b412b-d88f-4553-be9f-191e979f1c70 · outbound

This paper cites Learning vector-quantized item representation for transferable sequential recommenders.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation Learning vector-quantized item representation for transferable sequential recommenders

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:58:44.605372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:58:44.209517Z digest=sha256:9e82e8ce8bf7c1f1edf5f614fe0a6ebc167c228644a3f7c813a6af1bc83cdd5d

Observation b30b9a4c-95b7-4789-a304-715b84e326fa · outbound

This paper cites Recommendation with Generative Models.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation Recommendation with Generative Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:44.185732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:44.185732Z digest=sha256:77392a78ae4656d4d322b69ebd5d6bf500408f5fd5c5a5a032c6633e0fa93514

Observation 9b9f9248-b9b0-4c62-9d90-19166f55350c · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:44.197815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:44.197815Z digest=sha256:b869424c0bb312f9e799e2fe1721351776ac82296ee72e80f5e97e1c8e8809df

Observation 24aafad3-9117-482b-9710-f9ff6cce6b82 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation Categorical Reparameterization with Gumbel-Softmax

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:44.214760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:44.214760Z digest=sha256:b2b1101476cd5efb4e4a54e22682387197ff5d49aa2f07a30751bedded2d1c96

Pith citing papers

No inbound Pith citation observations are available.