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Paper Citation Record · LEDGER

Pre-training Generative Recommender with Multi-Identifier Item Tokenization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.04400.

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

pith.paper-citation-record.v1
2504.04400 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:21:54.318168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:57:46.432610Z

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 3b39d900-69f5-4d25-95f7-461b75713a3e · inbound

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

Generating Long Semantic IDs in Parallel for Recommendation Pre-training Generative Recommender with Multi-Identifier Item Tokenization

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T10:21:54.318168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:54.318168Z digest=sha256:81933c4a30ac0277618fb953c4964553472ce884ce0f5c7fa001c020664ba8f8

Observation a8e63b74-6f17-4cff-94b6-4293d58774fe · inbound

Generative Recommendation with Semantic IDs: A Practitioner's Handbook cites this paper.

Generative Recommendation with Semantic IDs: A Practitioner's Handbook Pre-training Generative Recommender with Multi-Identifier Item Tokenization

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:13.417312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:13.417312Z digest=sha256:fe307d9765d5de5a351a7dc096e7cf92dbd4588268154388b57eaf9e0903e246

Observation 3a5fcc92-4d8c-4e31-ac2c-cbb25868b369 · inbound

Differentiable Semantic ID for Generative Recommendation cites this paper.

Differentiable Semantic ID for Generative Recommendation Pre-training Generative Recommender with Multi-Identifier Item Tokenization

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:57:46.435304Z

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=2026-05-16T10:54:59.933205Z digest=sha256:11874dfd05c59cb3b587cab677875f9c9ba96f51665b0a00b8d6d8f9a09b2eb2

Observation 6f10f26b-a778-4c41-b5d5-159663923938 · inbound

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

Expressiveness Limits of Autoregressive Semantic ID Generation in Generative Recommendation Pre-training Generative Recommender with Multi-Identifier Item Tokenization

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:12.551519Z

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:f20e3681149422c8b766b1140ac6e8baa1c3572ef399485c96188ee177102321

Observation 80cd5363-288c-4815-a432-294e35c3b5f7 · inbound

Hierarchical Residual Policy Optimization for Generative Recommendations cites this paper.

Hierarchical Residual Policy Optimization for Generative Recommendations Pre-training Generative Recommender with Multi-Identifier Item Tokenization

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T00:28:27.721065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:27.721065Z digest=sha256:91a7da1eb2f7d44e729fcc01ab1e6ea6ecc9b22417f631580d8efba788a4ae5b