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Paper Citation Record · LEDGER

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

As of 12 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=sha256:8bc7c318ae873f274b04c8516c6e5baba17a9a7a7b9f0e5ee406a6953fd92078

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=sha256:33bd2b5352936b855451945e44794b6de52ea22743fb7397ad3550bb38eab114

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:fade1d6f7bbffb605d6d1713a232054f8ddde588217172eeb15642ea2b1af3d3

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=sha256:61df2086708b0c517515f950c398b5e970f631bf967779195c1d0862efc1ea7e

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=sha256:27798efee6208e8a3a840836323cf7f3819c1787f0792b30a942ffa32ff0261a

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=sha256:3b906d458713d01f8ce0175d4817acc96149abb98ee77b855deac796ec523e24

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=sha256:4b2fb01724bf9ccf67439912b4a2137ea2411395c68a19f9d6db8130df128f62

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=sha256:26cb1bd9c0ca55f58b4f09ff4a9f2fa3b7f281ea4a00e75a4d0112693bb73de5

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=sha256:1ad7d5f227732e447d4eea1c28d2d0d818ebba7010ab0fc187cdcf13d143cc86

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=sha256:9c54e7348ccbeab14931bb44e20a5461ac7c162433d54eea43293a9def19f7f0

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:d658d19e2cdcf2bef2fe53efb1ffc1430c140e7de90a65b4b3673097d9a0cc58

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:adc58e8c58714a3d0bb0f2d088f25ee914288ef9c0e15ef17fc48ec10add298d

Pith citing papers

No inbound Pith citation observations are available.