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Paper Citation Record · LEDGER

Content-Based Collaborative Generation for Recommender Systems

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.18480.

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

pith.paper-citation-record.v1
2403.18480 v2

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 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:48:48.045913Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.175729Z

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 d9d47159-bdac-4c21-85ff-27dfac6a256e · inbound

Enhancing Item Tokenization for Generative Recommendation through Self-Improvement cites this paper.

Enhancing Item Tokenization for Generative Recommendation through Self-Improvement Content-Based Collaborative Generation for Recommender Systems

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:48.045913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:48.045913Z digest=sha256:3da0f2f23c263021c3897da6a3f808af564dd62b10d869c30f37ddc8ac591297

Observation b256df6c-b13c-4417-b9b5-9c043e64a563 · inbound

Generative Next POI Recommendation with Semantic ID cites this paper.

Generative Next POI Recommendation with Semantic ID Content-Based Collaborative Generation for Recommender Systems

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:23.314452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:23.314452Z digest=sha256:17c972f8f9cf9751ddc57ee4fa88818ed2df460b2c8203b3dd4f90499fa75673

Observation 0b168476-9356-4483-ab2f-024d8687cdfc · inbound

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

Generating Long Semantic IDs in Parallel for Recommendation Content-Based Collaborative Generation for Recommender Systems

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T10:21:54.263229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:54.263229Z digest=sha256:8dfaa52f111f84b3f124a74d6aa8b6b77039c6816a8067ac74c10fdf29b82408

Observation e80b827d-fef4-469d-8818-4fd657e69d67 · inbound

RecGPT: A Foundation Model for Sequential Recommendation cites this paper.

RecGPT: A Foundation Model for Sequential Recommendation Content-Based Collaborative Generation for Recommender Systems

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T06:01:36.324654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:01:36.324654Z digest=sha256:5e9fb69d2ff852be8a91d7917774542b3f3789cdd2b10141dded87487cd67579

Observation c96646f0-f52a-4409-8279-46a532b4afdf · inbound

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

Expressiveness Limits of Autoregressive Semantic ID Generation in Generative Recommendation Content-Based Collaborative Generation for Recommender Systems

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:12.665597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T05:49:16.718963Z digest=sha256:1793487f8e0967355432acc4e8d2025f5d46cc4f26d5a0784a4387220f8f7f39

Observation 40c2b724-4b2e-43c3-b5d6-3a259cc3c22d · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Content-Based Collaborative Generation for Recommender Systems

Reference 253

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.177380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:f3da3d265017f14321bf997b55355628b54b4e1044ec3e09e080214eb94cc7e5

Observation 7b6319e3-1f7b-43b2-ae0c-6743fe0184ca · inbound

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models cites this paper.

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models Content-Based Collaborative Generation for Recommender Systems

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T12:15:44.749589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:15:44.749589Z digest=sha256:1e1305f11ad878b0ed1d77cdcea87f3feacb85bc3a51e4913df9922504bbb3ac