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Paper Citation Record · LEDGER

MMGRec: Multimodal Generative Recommendation with Transformer Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2404.16555.

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

pith.paper-citation-record.v1
2404.16555 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:50:03.463863Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:03:15.111604Z

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 90902308-d249-401a-92e5-001ae77fe547 · inbound

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

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-08-03T03:15:13.601630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T18:30:35.796271Z digest=sha256:d1aea76dc35be6fae4eecbd07d738e2a2afe51abf1437e105d05efad4196a81a

Observation 5133f5a3-3caa-441e-9e62-431704a13a0e · inbound

EGA-V2: An End-to-end Generative Framework for Industrial Advertising cites this paper.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:03.463863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:03.463863Z digest=sha256:1d89379bd1660476711a0c08b5673ce605ac3b5e7e2bffed7346bc93cf7d1d81

Observation f4b04939-3ee1-467a-9fe8-f6d349272d84 · inbound

Generating Long Semantic IDs in Parallel for Recommendation cites this paper.

Generating Long Semantic IDs in Parallel for Recommendation MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:21:54.187417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:54.187417Z digest=sha256:3acac86550f451575ea06d3ef2a62d1c75a6c3ff20d2335fd2789e47596be933

Observation 00ded1e5-4b26-4e54-8ff3-300622c57c56 · inbound

GENPLUGIN: A Plug-and-Play Framework for Long-Tail Generative Recommendation with Exposure Bias Mitigation cites this paper.

GENPLUGIN: A Plug-and-Play Framework for Long-Tail Generative Recommendation with Exposure Bias Mitigation MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T20:13:01.807626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:01.807626Z digest=sha256:d23ae97c1aa3e75f2586e608cc5d69f5c5d2ce55dfe5287fcd11a773aeb42ea4

Observation c2a57baa-fdea-4571-b1d3-f65e604dc732 · inbound

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization cites this paper.

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:20.834069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:20.834069Z digest=sha256:6ee665e18b9cbd314f3b69c8fef7b183eeca279ca3241d7010be3af6afe2f6cf

Observation 240e27ba-1682-4daf-a040-213644b97243 · inbound

Towards Efficient and Generalizable Retrieval: Adaptive Semantic Quantization and Residual Knowledge Transfer cites this paper.

Towards Efficient and Generalizable Retrieval: Adaptive Semantic Quantization and Residual Knowledge Transfer MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-08-03T03:15:13.601630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T18:58:29.985859Z digest=sha256:82717bf18bd579671f3b3325aeda391c0a7251a975c73b5a41065bfcd58f19ae

Observation 06d89209-0605-41ce-8c85-690eddce0420 · inbound

MLPs are Efficient Distilled Generative Recommenders cites this paper.

MLPs are Efficient Distilled Generative Recommenders MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-08-03T03:15:13.601630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T20:14:52.127606Z digest=sha256:eafb01f67667fba9a5a8eb075e22f017f2df891b43b4217ef5c6fe8494d245d1

Observation eebf6818-1d61-4d64-86f9-cb3fb454cd6c · inbound

Learning Variable-Length Tokenization for Generative Recommendation cites this paper.

Learning Variable-Length Tokenization for Generative Recommendation MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-08-03T03:15:13.601630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T12:00:37.247231Z digest=sha256:1ce2834af70269a13d1dcccbaba7a362401b78fb9e7fbdd9bc249806a12360e5

Observation 55faf72e-f605-42da-b3b9-9361c643f6d1 · inbound

SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation cites this paper.

SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-08-03T03:15:13.601630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T08:43:40.253006Z digest=sha256:e2545cda2e891653f4c582cea2159821e97b14a98012e0b73795f4ab3d153c1e