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Paper Citation Record · LEDGER

GIVT: Generative Infinite-Vocabulary Transformers

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.02116.

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

pith.paper-citation-record.v1
2312.02116 v4

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:04:24.304541Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:46:30.576422Z

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 342ce1b7-8c9a-4f7d-8d85-6a3708edacf7 · inbound

Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models cites this paper.

Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models GIVT: Generative Infinite-Vocabulary Transformers

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T22:04:24.304541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:04:24.304541Z digest=sha256:7c709ac97aad5a84667d85c8d2395f660dfa476a23eb5512f764bb65e16b0787

Observation a90713e7-0701-48aa-bc59-ab1186910743 · inbound

Estimating Musical Surprisal in Audio cites this paper.

Estimating Musical Surprisal in Audio GIVT: Generative Infinite-Vocabulary Transformers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T20:43:50.819371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:43:50.819371Z digest=sha256:9d9fb96b13def2ab7d6d1202eb72ac9cc1a3ba928734dbaba85fbb154efb263f

Observation c8dc0687-8a78-4f28-aa3b-9d902d931e57 · inbound

DiSA: Diffusion Step Annealing in Autoregressive Image Generation cites this paper.

DiSA: Diffusion Step Annealing in Autoregressive Image Generation GIVT: Generative Infinite-Vocabulary Transformers

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:03.946588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:03.946588Z digest=sha256:c23a4f5752140cf0dc92f90e8f1b6ef3cb0c8fb84bdecc7d8b11c735dcb574cd

Observation 1d12df17-efb9-41c9-8cea-fa22c4d26da0 · inbound

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation cites this paper.

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation GIVT: Generative Infinite-Vocabulary Transformers

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:02.240085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:26:02.240085Z digest=sha256:c287bd5a6c7ab9a6f6bab7aa660e673a36440588dc6e809d9a2d4de87e343b10

Observation 7dd4d428-3bdf-43a5-b1e3-2c1830fadfcf · inbound

Transition Matching: Scalable and Flexible Generative Modeling cites this paper.

Transition Matching: Scalable and Flexible Generative Modeling GIVT: Generative Infinite-Vocabulary Transformers

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:46:30.644267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:46:29.594869Z digest=sha256:82d35ad707ba76cdba55425150a06c72b0c2fe66bc702d9b03940bbb3d2b4383

Observation 7286be3f-f5a1-4896-b4f6-5ff8b0d20cc3 · inbound

Enhancing next token prediction based pre-training for jet foundation models cites this paper.

Enhancing next token prediction based pre-training for jet foundation models GIVT: Generative Infinite-Vocabulary Transformers

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-03T18:42:12.770941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:42:12.770941Z digest=sha256:373eb8459b63c8ffd316085bf2fc1b2d584890b17edfd06659986466ac690675