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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=sha256:22b58a58f2d08a8f40cf954ecd8c16878b0ea4cfa8f6f54691107dcbcb630234

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=sha256:3f594df6575643ba7f0c65e31a44545bbdffba19c472baae2c5df1377199bad3

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=sha256:62967f6e5a0f567887c7c3e2aafa0c3872d0adf6eaa4c623f2c5e1f811b40009

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:ffb8386644bbdc7951afe9d85b2a46eba162aba33af1cdfa46d157b7deef3251

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:cd87eb61cdf2f71e5cf4b78728b74d0a63680fdf698de093c43de4aaafe4d84b

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=sha256:319bdba50179635d2e370328ddced03e7599bdbc9c831db38cd18e4831181f9b

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:f013df9facd40c591389872107a9c94bd8bcad77b26b230a752bfc1d17a11df5

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=sha256:00bc3f23aa95c90bc1467bedaa83a3154a91f7c62d4de69c0fa7d535120dc218

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:aba0d5a234ba1eb84f4bac8cd610a4b6650c8f2c931e6bd9727a31a1b43c86a2

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=sha256:071ed59af0a8e4fde6561edb232e438eaf4c8edc62b5bfc7cf5df66fb343c4f1

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=sha256:386e5e8b9addde72537e7fe6f8fe809a1bc261d0295009874741545d8879c062

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:e5e538248dacbaeee8e266e8cfbf10fb9d9b4918acb891f48244cde7ad04ce97

Pith citing papers

No inbound Pith citation observations are available.