Pith. sign in

Paper Citation Record · LEDGER

Comparison of Autoencoders for tokenization of ASL datasets

As of 19 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2501.06942.

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

pith.paper-citation-record.v1
2501.06942 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:52.807268Z

measured 10 of 10 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact3
  • verified fuzzy6
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 726e68a1-d861-4bf2-bb3a-41f2edb82cab · outbound

This paper cites Advancements in Generative AI: A Comprehen- sive Review of GANs, GPT, Autoencoders, Diffusion Model, and Trans- formers.

Comparison of Autoencoders for tokenization of ASL datasets Advancements in Generative AI: A Comprehen- sive Review of GANs, GPT, Autoencoders, Diffusion Model, and Trans- formers

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-10T20:53:52.973644Z

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=2026-08-10T20:53:52.765668Z digest=sha256:d20a570c5f37544e96cae90043896f26b927ba50a473e1ba3ba307ad3871648f

Observation f5417df7-046d-4932-b71f-f35fd95eb449 · outbound

This paper cites Multi-Modal Latent Diffusion.

Comparison of Autoencoders for tokenization of ASL datasets Multi-Modal Latent Diffusion

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:53.054486Z

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=2026-08-10T20:53:52.770965Z digest=sha256:52a034bfe569259d4e73d6a21c65a0a9962313ce00992ed200e861e80f9e5b74

Observation 061eb147-4d1f-41dc-a916-2e508ff8bf42 · outbound

This paper cites Multimodal Transformer for Parallel Concatenated Variational Autoencoders.

Comparison of Autoencoders for tokenization of ASL datasets Multimodal Transformer for Parallel Concatenated Variational Autoencoders

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:53:52.881289Z

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=2026-08-10T20:53:52.776065Z digest=sha256:0b9daca64ebb7a5521381d8894e32b6247354d01ed9ba9693e49d5a9ef9e803d

Observation 422f7474-a2fb-47d2-86ab-542c51993419 · outbound

This paper cites Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding.

Comparison of Autoencoders for tokenization of ASL datasets Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:53:52.862065Z

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=2026-08-10T20:53:52.781272Z digest=sha256:df2095b95c5d164f5d79eab485d6e5a5256c1d5e222a8ff57aa3282189d618d0

Observation 79d7e75f-7ee7-4ddf-887e-e4fd8d4e6bf1 · outbound

This paper cites Diffusion Autoencoders: Toward a Meaning- ful and Decodable Representation.

Comparison of Autoencoders for tokenization of ASL datasets Diffusion Autoencoders: Toward a Meaning- ful and Decodable Representation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:53.040330Z

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=2026-08-10T20:53:52.786241Z digest=sha256:ed1e0c0700f09e614ccd2b530a4953935c08c1b59dffbe8d44ddd15dc1bdfafd

Observation 1e70cae6-4251-4d2c-8e2f-049c327b3330 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Comparison of Autoencoders for tokenization of ASL datasets Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T20:53:52.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:52.791346Z digest=sha256:3aed479e2d8e13e2b6ceded073c848b038911592e124c43eed41465a54fd69de

Observation c6a49c1a-c453-4d2e-83ef-f871aae9f0da · outbound

This paper cites Diffusion Models as Masked Autoencoders.

Comparison of Autoencoders for tokenization of ASL datasets Diffusion Models as Masked Autoencoders

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:53.027892Z

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=2026-08-10T20:53:52.796390Z digest=sha256:dba5b304a5d1bcc3f57e43b78cca3882b8434ef0fa5c87bac24b142a6032e731

Observation dc0e165a-fb5d-417b-9c02-95b648033d7a · outbound

This paper cites Generative Adversarial Network.

Comparison of Autoencoders for tokenization of ASL datasets Generative Adversarial Network

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:53.014496Z

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=2026-08-10T20:53:52.800055Z digest=sha256:c0c2d3845838e54e3b7e1e96e38f5a020cebc211f83db30cbf4fa34f62349a24

Observation 3b429b07-6773-491f-b591-8fca1cadb1fe · outbound

This paper cites Stable Diffusion.

Comparison of Autoencoders for tokenization of ASL datasets Stable Diffusion

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:53.001894Z

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=2026-08-10T20:53:52.803811Z digest=sha256:74de406c2377aa77b105099003540db1992e7436c6a26d5498614691fa07d8b0

Observation a0aba277-01fe-4721-b766-26f3e9d6b876 · outbound

This paper cites Transformer (Deep Learning Architecture).

Comparison of Autoencoders for tokenization of ASL datasets Transformer (Deep Learning Architecture)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:53:52.986813Z

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=2026-08-10T20:53:52.807268Z digest=sha256:31166bbc5935b91c4cc3d43303edce220f6c4b13627527463eeda053a1160c38

Pith citing papers

No inbound Pith citation observations are available.