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Paper Citation Record · LEDGER

Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2412.17171.

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

pith.paper-citation-record.v1
2412.17171 v1

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 2026-08-06T12:01:13.120858Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:44:24.348266Z

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 16b9ec2b-a09a-4251-bcbd-f9bd32b51c88 · inbound

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

Generative Recommendation with Semantic IDs: A Practitioner's Handbook Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:13.120858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:13.120858Z digest=sha256:8832ba686a41e03aa1098fb3b2694aa7b6afa66c5ea57b955b15a7ce3c9a31a2

Observation 3d58d6a1-3a5d-4855-968d-0542328659a7 · inbound

Sequential Data Augmentation for Generative Recommendation cites this paper.

Sequential Data Augmentation for Generative Recommendation Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:44:24.350259Z

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=2026-05-21T22:43:37.684798Z digest=sha256:70f523d4395c9edcd6cd17cd4114e1692396d381aa72c999fae81821e1f276c1

Observation c7732b51-b620-48ab-8fb6-3ce92d24d254 · inbound

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View cites this paper.

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T13:46:13.731915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:46:13.731915Z digest=sha256:f578362ed843c117e3c87ec47fc0135e20af641fabdb8ae575ea88ffc8f1e501

Observation 86c8895b-50c2-4d23-b3cc-f01321fa04ed · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.054419Z

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=2026-05-18T03:47:08.208082Z digest=sha256:062e59e14035786ae16a2b44c455e9d83e849204dc784100dc95195a1bfd5842

Observation 62b22047-329c-4049-88f1-f47fae3cc196 · inbound

HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencent cites this paper.

HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencent Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T13:20:02.235532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:20:02.235532Z digest=sha256:7c8912de0b1882b1a4a4181d8d725d5b12221adb9c6051153f0ca1356250d9c1

Observation 2c6206e9-89e2-48e0-b396-bdab30748a08 · inbound

Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices cites this paper.

Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T11:47:58.173367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T11:47:58.173367Z digest=sha256:d3502e0db6ecd8cb057906734c1cc264e4ed6df08f9a83c259b30aec8f713969

Observation 9b58e70c-5c0e-47a2-8c8c-a5ec694302d6 · inbound

GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation cites this paper.

GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:59:02.884118Z

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=2026-05-10T09:58:14.599825Z digest=sha256:2b6ea2cc11220af4c594abe04513b989cce86f04f2b32512821526956798c667

Observation d28ba8f8-7e42-4d61-96a4-bce882b830e3 · inbound

MLPs are Efficient Distilled Generative Recommenders cites this paper.

MLPs are Efficient Distilled Generative Recommenders Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:19:28.262290Z

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:a0a32bb78989d76b589bcdee0b1974c08de56e6586aafb4f84fb3be31afad531

Observation 539c234f-6faf-48c6-a642-0188413cf52e · inbound

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation cites this paper.

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation Enhancing Item Tokenization for Generative Recommendation through Self-Improvement

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T20:27:57.489909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:27:57.489909Z digest=sha256:b0130c6439217316ead7d27db1560bde6c9551837da0ae604fa2992fc59b0b24