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Paper Citation Record · LEDGER

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2606.09888.

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

pith.paper-citation-record.v1
2606.09888 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:13:54.031036Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:30:04.906512Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact19
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 989ae792-9f46-42dd-be3d-a755b9f9ad6c · outbound

This paper cites Memory caching: Rnns with growing memory.arXiv preprint arXiv:2602.24281, 2026.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Memory caching: Rnns with growing memory.arXiv preprint arXiv:2602.24281, 2026

Reference 1

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.799497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:822236090b39c824711a5a995ef9ed6e7bb9e916f63c58093a00669f56b2904f

Observation 86e1c474-fec7-4234-8ea5-c83284ca8539 · outbound

This paper cites Longer: Scaling up long sequence modeling in industrial recommenders.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Longer: Scaling up long sequence modeling in industrial recommenders

Reference 2

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no resolver link, observed 2026-06-28T07:13:54.031036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:629be3c1781fbc2296be42b22ce3dfa6cbb86d5bed0ae1ff3e3173c8afa5b68c

Observation 9ed16644-122e-4c18-b124-c3a50fd8cd41 · outbound

This paper cites Twin: Two-stage interest network for lifelong user behavior modeling in ctr prediction at kuaishou.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Twin: Two-stage interest network for lifelong user behavior modeling in ctr prediction at kuaishou

Reference 3

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no resolver link, observed 2026-06-28T07:13:54.031036Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:1ecd61827571def3a3f1999f9e0ba2895c9910422315d1250855b82598abb3e9

Observation 17d6dadc-a6b5-4b92-a703-32c71e6c0895 · outbound

This paper cites Recurrent preference memory for efficient long-sequence generative recommendation.arXiv preprint arXiv:2602.11605, 2026.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Recurrent preference memory for efficient long-sequence generative recommendation.arXiv preprint arXiv:2602.11605, 2026

Reference 4

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.804033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:ac69963b8a7c42bc8fdbc46aaee70edfad2e4ede54598b1d8d9101df1d230e8e

Observation b2b43885-11e4-4442-9de9-32893a6042a8 · outbound

This paper cites arXiv:2510.22049 [cs.IR] https://arxiv.org/abs/2510.22049.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks arXiv:2510.22049 [cs.IR] https://arxiv.org/abs/2510.22049

Reference 5

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metadata mismatch
arxiv_id, observed 2026-07-02T07:06:43.828643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:6fd770e029212ba08c9bbf47362e6f9e59777224e1428348f003e7162313caf3

Observation 4dc36325-4dc3-4ddd-9b1c-0500be344904 · outbound

This paper cites Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

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verified exact
local_arxiv, observed 2026-07-02T07:06:43.800288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:3841add634d12f42ca3fec7031156baa0e0a6af2769780bbe8269730f3a64a8f

Observation 54db3153-b12f-4c18-813a-a539c59f7fd2 · outbound

This paper cites Tim4rec: An efficient sequential recommendation model based on time-aware structured state space duality model.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Tim4rec: An efficient sequential recommendation model based on time-aware structured state space duality model

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:28f38a3143b4725f7708cdacea32a06cb129f3a64b8cfccb00196ee27ddbfacd

Observation 85c6fe2c-6c82-41ba-b8b0-539ec8e151ab · outbound

This paper cites Kuairec: A fully-observed dataset and insights for evaluating recommender systems.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Kuairec: A fully-observed dataset and insights for evaluating recommender systems

Reference 8

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no resolver link, observed 2026-06-28T07:13:54.031036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:4453c5bf4553dbe44bb00e48b6e302b44c1653c2a9f03b385a2aff3c5576f8d7

Observation 82892953-fe12-40e9-8c51-5512d44e7b46 · outbound

This paper cites Hysparse: A hybrid sparse attention architecture with oracle token selection and kv cache sharing.arXiv preprint arXiv:2602.03560, 2026.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Hysparse: A hybrid sparse attention architecture with oracle token selection and kv cache sharing.arXiv preprint arXiv:2602.03560, 2026

Reference 9

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.817248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:5543ba9645245ba09c40df7f711c56d05315ac4c93cbc6f220900461912a4c27

Observation 25584626-c584-43d9-a1ba-69bddbfe00a5 · outbound

This paper cites Unimixer: A unified architecture for scaling laws in recommendation systems.arXiv preprint arXiv:2604.00590, 2026.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Unimixer: A unified architecture for scaling laws in recommendation systems.arXiv preprint arXiv:2604.00590, 2026

Reference 10

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.805806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:5c118319effb1dedbb12b3e0c97c5cc8bb56f27685c8400ff1c226d35fcbeeb4

Observation 4b42034b-fa73-4903-833d-76720aa0da34 · outbound

This paper cites Ultra-Sparse Memory Network.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Ultra-Sparse Memory Network

Reference 11

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.815473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:1b1e2905e8dc2024c30b5e9c03c45570257346310c36a1f5326a4cb20c66d984

Observation 18678fdf-ed1f-4050-b3ff-cb9b215df4f0 · outbound

This paper cites UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning

Reference 12

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.818439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:997ba9092006aa893898436665e5f112e99c018921981b0b388ea2213b52641a

Observation f6071bf9-411b-4e5b-b52b-6e0e9903f9bf · outbound

This paper cites Self-attentive sequential recommendation.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Self-attentive sequential recommendation

Reference 13

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no resolver link, observed 2026-06-28T07:13:54.031036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:821b84d7e3fdbbc502ea0a72da19dce7ef4330e2e32122836011da8625fe5fa4

Observation 3bb69d5f-6979-428d-bc78-3c15dde16351 · outbound

This paper cites Unleashing the potential of sparse attention on long-term behaviors for ctr prediction.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Unleashing the potential of sparse attention on long-term behaviors for ctr prediction

Reference 14

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no resolver link, observed 2026-06-28T07:13:54.031036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:5ecad12dbb1e70fac8e9bed3ba6a78839cf4d18705abaad011c4f0d72dbf5996

Observation c1ab1dd3-48c9-466e-93e8-ea09917dda15 · outbound

This paper cites Collectivekv: Decoupling and sharing collaborative information in sequential recommendation.arXiv preprint arXiv:2601.19178, 2026.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Collectivekv: Decoupling and sharing collaborative information in sequential recommendation.arXiv preprint arXiv:2601.19178, 2026

Reference 15

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.824874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:5cea0f3d6bafbd45d83a00322a8976b12550d022dccc6627f0742cbec32d1d15

Observation 97efd048-6190-4b81-8ffc-9282ca1705f8 · outbound

This paper cites Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

Reference 16

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.807295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:6ad1d4c8347db4031eab4e678d48ec79502c74bb16a4d346ec8eafb06d4a849c

Observation 0141cdd1-db75-4010-b3e9-c19b08434f28 · outbound

This paper cites Dynamic user interest augmen- tation via stream clustering and memory networks in large-scale recommender systems.arXiv preprint arXiv:2405.13238, 2024.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Dynamic user interest augmen- tation via stream clustering and memory networks in large-scale recommender systems.arXiv preprint arXiv:2405.13238, 2024

Reference 17

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.808839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:35e564b9536c8bfb86ae1186b0e21ce625c741d00769b894e6600c6cadf3f5ad

Observation f7a0dd1d-debd-4f2b-9a0a-e1e9c8e9477a · outbound

This paper cites Large memory network for recommendation.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Large memory network for recommendation

Reference 18

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no resolver link, observed 2026-06-28T07:13:54.031036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:63162aee5b7bafd8061285b559928d19c7d2ed3016264dee34e39781a240a7ed

Observation 1f55d78a-01bf-4d60-ad90-ce97d72e6ae3 · outbound

This paper cites Blossomrec: Block-level fused sparse attention mechanism for sequential recommendations.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Blossomrec: Block-level fused sparse attention mechanism for sequential recommendations

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:1a5d6c6adb60b26a0384f6b6d2aa8ce27846ea1099c30a6aeef2c5ff5e73379d

Observation 98528737-e32f-4f5c-85d7-17a3a7df9ba3 · outbound

This paper cites Practice on long sequential user behavior modeling for click-through rate prediction.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Practice on long sequential user behavior modeling for click-through rate prediction

Reference 20

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source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:af458bfbd8081b0781153e9843735446f182c70deac6b8632f96527f95166ea1

Observation c09bd2b0-70d0-4206-b5ac-0b892007e34c · outbound

This paper cites Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction

Reference 21

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no resolver link, observed 2026-06-28T07:13:54.031036Z

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source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:ff375bffa8c99da84385ff9791f1261093c805d25dc0261229a6a0779b30e35d

Observation 5cec94f1-0029-4609-811d-1586d05b34d7 · outbound

This paper cites Linear differential vision transformer: Learning visual contrasts via pairwise differentials.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Linear differential vision transformer: Learning visual contrasts via pairwise differentials

Reference 22

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.834097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:8801bfb8928277228bb0708a60e0cbbb51b695adbec55ff0d57383c40b4556cf

Observation dfbe84a3-e017-4385-924a-d889bd1b4531 · outbound

This paper cites Augmenting language models with long-term memory.Advances in Neural Information Processing Systems, 36: 74530–74543, 2023.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Augmenting language models with long-term memory.Advances in Neural Information Processing Systems, 36: 74530–74543, 2023

Reference 23

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no resolver link, observed 2026-06-28T07:13:54.031036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:ee304d829213ec092530d33e4354ae14ec472c92eafdf8f9051c944d789b8ccf

Observation d64d21b2-6480-4cef-a708-d7d74164a655 · outbound

This paper cites Msn: A memory-based sparse activation scaling framework for large-scale industrial recommendation.arXiv preprint arXiv:2602.07526, 2026.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Msn: A memory-based sparse activation scaling framework for large-scale industrial recommendation.arXiv preprint arXiv:2602.07526, 2026

Reference 24

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arxiv_id, observed 2026-07-02T07:06:43.831320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:389fafdef2df2728abaf2db8d2eab53d78f97e0d287e409ba964741e0eda8548

Observation fb1445d5-3798-45d8-bbfa-fbceaaa47a39 · outbound

This paper cites Hytrec: A hybrid temporal-aware attention architecture for long behavior sequential recommendation.arXiv preprint arXiv:2602.18283, 2026.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Hytrec: A hybrid temporal-aware attention architecture for long behavior sequential recommendation.arXiv preprint arXiv:2602.18283, 2026

Reference 25

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arxiv_id, observed 2026-07-02T07:06:43.814102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:de89874bec5a1f7654f410a271853eb86bea02cab83c465b56bcbb57d5eda817

Observation 383be6f1-fd52-41c7-ba88-5d5fa37cd345 · outbound

This paper cites Sarm: Llm-augmented semantic anchor for end-to-end live-streaming ranking.arXiv preprint arXiv:2602.09401, 2026.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Sarm: Llm-augmented semantic anchor for end-to-end live-streaming ranking.arXiv preprint arXiv:2602.09401, 2026

Reference 26

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arxiv_id, observed 2026-07-02T07:06:43.825844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:cbfd1866c19827fff8b7a062c5a0d52db15a3fd255ee39b3aaa91bceef2e3f3f

Observation d8fb345b-deee-4250-ab55-9b74d8e9102e · outbound

This paper cites Fuxi-linear: Unleashing the power of linear attention in long-term time-aware sequential recommendation.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Fuxi-linear: Unleashing the power of linear attention in long-term time-aware sequential recommendation

Reference 27

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verified exact
arxiv_id, observed 2026-07-02T07:06:43.822615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:1444782f6edd9e28607de0975d8a605777ec64aa78e892f62b058146ea913e89

Observation f7e0a293-8631-4b29-9419-625de929dcc9 · outbound

This paper cites HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders

Reference 28

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arxiv_id, observed 2026-07-07T02:16:04.144082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:e1fe4d7d901d649572d2655445dc773714cee9dad72b87045847f9200da78ed8

Observation 0f40615f-3961-4acc-8b74-06aa115c01d4 · outbound

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

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 29

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local_arxiv, observed 2026-07-02T07:06:43.827439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:405ca2e721f216528ed25c62929ba5b593dd1894feac5252aecff67c5c448787

Observation 79853ed0-8fed-4c34-a1a0-cf499d0697ef · outbound

This paper cites A Survey of Large Language Models.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks A Survey of Large Language Models

Reference 30

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local_arxiv, observed 2026-07-02T07:06:43.819686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:626bdb4db76aef18a11aa5c132d86eeac650882335e777f7acbd4a463daacdd5

Observation cb09a1ff-489c-48e3-8cfa-027e9bf001f4 · outbound

This paper cites Deep interest network for click-through rate prediction.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Deep interest network for click-through rate prediction

Reference 31

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no resolver link, observed 2026-06-28T07:13:54.031036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:ddbdd376c95c9f3632820e7f1c33f38e6d626c122d8d6aa7b54164f2eda0590d

Observation f98776da-b7cf-41fb-ae09-062a77951d32 · outbound

This paper cites Deep interest evolution network for click-through rate prediction.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Deep interest evolution network for click-through rate prediction

Reference 32

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no resolver link, observed 2026-06-28T07:13:54.031036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:db712fb54868ed834a45ba6aa813ce7ee9da995a60ea56fc2bcdb9410b363942

Observation bc2c6f48-c8b1-451c-95e1-88774003df69 · outbound

This paper cites Gems: Breaking the long-sequence barrier in generative recommendation with a multi-stream decoder.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Gems: Breaking the long-sequence barrier in generative recommendation with a multi-stream decoder

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:43.796847Z

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source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:47dc065fe58795e00682ba8ebddd77f34afc5917c71a4791cbe52f96c2103e2a

Observation bc5b2138-2618-4c80-a443-c2ffe239a1f8 · outbound

This paper cites Rankmixer: Scaling up ranking models in industrial recommenders.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Rankmixer: Scaling up ranking models in industrial recommenders

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-28T07:13:54.031036Z

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source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:b9556e3d93b809746598b375e5087cd947cc3f00398abc8e2e8048ca6b3e8bcc

Observation 6fab5c90-04f7-4ccb-bd97-ed68c4beb8fa · outbound

This paper cites Mgstdn: Multi- granularity spatial-temporal diffusion network for next poi recommendation.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Mgstdn: Multi- granularity spatial-temporal diffusion network for next poi recommendation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-28T07:13:54.031036Z

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source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:ffc27a2501b6866ad17b6ac05783acd3c38eb46c3aea5f25e2200bc69583ad7a

Observation fe28861a-0855-47d4-9c39-c7b15e4776d3 · outbound

This paper cites Think2go: Generative next poi recommendation with llm reasoning.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Think2go: Generative next poi recommendation with llm reasoning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-28T07:13:54.031036Z

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source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:81425ae5e410f97279d74fb4acb0d69b247561a5a2b058774e29bd76190c5bd9

Pith citing papers

Observation 1c74bb90-2789-4131-9f9d-1a6be1377e98 · inbound

EvoReason: Self-Evolving Reasoning Primitive-Guided On-Policy Distillation for Latent Reasoning in Generative Recommendation cites this paper.

EvoReason: Self-Evolving Reasoning Primitive-Guided On-Policy Distillation for Latent Reasoning in Generative Recommendation SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-03T15:30:04.906512Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:30:04.906512Z digest=sha256:245195d5590026dae39e1481cd9d0aa75461aca8a137a642bd1f2cd67f3f525b