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Paper Citation Record · LEDGER

Multimodal Quantitative Language for Generative Recommendation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2504.05314.

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

pith.paper-citation-record.v1
2504.05314 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:45:26.419090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T04:36:03.477434Z

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 67d65fae-075f-41bd-a538-723abd650c10 · inbound

APAO: Bridging the Training-Inference Gap in Generative Recommendation via Adaptive Prefix-Aware Optimization cites this paper.

APAO: Bridging the Training-Inference Gap in Generative Recommendation via Adaptive Prefix-Aware Optimization Multimodal Quantitative Language for Generative Recommendation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T19:20:15.926672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:20:15.926672Z digest=sha256:4a1603c4bb0f31cc80c104f250bcd79021a080c4d083b43f8936ef041c80f1ff

Observation 13da2b40-5096-4172-940b-d027391d9d3d · inbound

Expressiveness Limits of Autoregressive Semantic ID Generation in Generative Recommendation cites this paper.

Expressiveness Limits of Autoregressive Semantic ID Generation in Generative Recommendation Multimodal Quantitative Language for Generative Recommendation

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:12.540937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T05:49:16.718963Z digest=sha256:650c2a6fb5923272eae5d3b4ecd33db9c02712bc11472cc573e0b0bb1f732364

Observation 7cf1423e-6d26-46ee-ae55-95a288dbd330 · inbound

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

Learning Variable-Length Tokenization for Generative Recommendation Multimodal Quantitative Language for Generative Recommendation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:03:15.116689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T12:00:37.247231Z digest=sha256:08b9f09333bab065f239a2ce24022022dcda4ad9f2c2fabaace410063e3eefca

Observation e7a24ea1-1b81-42be-8cf3-14a21ea494e7 · inbound

Generative Conversational Recommender System cites this paper.

Generative Conversational Recommender System Multimodal Quantitative Language for Generative Recommendation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:36:03.483544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T04:35:10.450479Z digest=sha256:e85309e42b7f57f3dee0db0dd8826bfa9edaeeda16062f579f997df7489366fa

Observation 9ba6ccd6-32ce-4b92-beea-f27e711a726d · inbound

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval cites this paper.

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval Multimodal Quantitative Language for Generative Recommendation

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-01T07:21:46.248551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:21:46.248551Z digest=sha256:488a17cd86aaa043928f432e3ab5f8981017301d6958de4b9354e7260a345905

Observation 699572bf-2996-46a5-82c8-38b7ec743ebb · inbound

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval cites this paper.

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval Multimodal Quantitative Language for Generative Recommendation

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-03T01:45:26.419090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:45:26.419090Z digest=sha256:924caea53778612ed49bad7af6da2d0a3a73d85e537418dbc90c6a57f387ae57

Observation 147a3de4-e370-4859-8ae4-aa6f750032dd · inbound

From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation cites this paper.

From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation Multimodal Quantitative Language for Generative Recommendation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T01:28:22.321253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:28:22.321253Z digest=sha256:af9478899f4a2eb27a570838ade60b10a25c5c3db155597c6d2fab6de90b2418