Paper Citation Record · LEDGER

From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.12448.

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

pith.paper-citation-record.v1
2502.12448 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:58.245006Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:13:49.037334Z

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 b2986500-72c7-4e5e-b484-e5994d4dc16c · inbound

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing cites this paper.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:58.245006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c4070a5-8c05-4cef-92f1-691048bfb060 · inbound

multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data cites this paper.

multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:08.667051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8dfb7e4-3a53-4574-bdb2-e127fe6e932e · inbound

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework cites this paper.

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:25:12.533220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e62c138d-2a60-4cac-96ad-fbd2b161f770 · inbound

Structure over Pixels: Learning Variable-Length Visual Programs cites this paper.

Structure over Pixels: Learning Variable-Length Visual Programs From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:13:49.038605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce19b46c-734e-4415-8d4c-f9b78a102af8 · inbound

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models cites this paper.

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:02:27.053008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 861ac285-ce1f-41a3-a072-ee08421dd840 · inbound

VaLiDRec: Variable-Length LLM-Aligned Semantic IDs for Generative Recommendation cites this paper.

VaLiDRec: Variable-Length LLM-Aligned Semantic IDs for Generative Recommendation From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T03:11:39.413254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.