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Paper Citation Record · LEDGER

Multimodal Quantitative Language for Generative Recommendation

As of 9 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 2026-08-08T06:32:00.761636+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=sha256:3ef5ca729dc0e4f605211fc4906f93e8b1a48ecded31dea5d6741371c0554d57

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T05:49:16.718963Z digest=sha256:febae2c9f09cd4ecf1cb60fabe4125803fb48df26d21da1c556b2195e0d8b54c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T12:00:37.247231Z digest=sha256:d9b9ecae9e29b7af146097a84c890e3ba0721ad95079f1d9ed7dd65fb35dc91f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T04:35:10.450479Z digest=sha256:bb043d6ad3234ea7b1910e241790767be3b380b36b847b8c8d31b39275dc7459

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:cc557a5b7702f74c70dae7d150c7cbc8c77ab686555d20dc4b2194b9617c2b17

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:d378dcb54c8fe69c9778b42110ab6348daab32bf6374f98ab9c8590dd56097e3

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=sha256:81d8efee280c12b2c13ebfefa34ed0689091c4972ae83b932318dbc2e911164d