Pith. sign in

Paper Citation Record · LEDGER

Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production

As of 9 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2507.09105.

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

pith.paper-citation-record.v1
2507.09105 v4

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:09:13.882633Z

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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:39:09.935429Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T02:41:17.545078Z

Reference resolution

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3a21c7d-8873-4a50-9b2f-ce4a45658236 · outbound

This paper cites End-to-End Multi-Task Learning with Attention.

Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production End-to-End Multi-Task Learning with Attention

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:09:14.076141Z

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.

source=pdf_text observed=2026-08-06T18:09:13.742442Z digest=sha256:034b20dc496307d64eed9458209340e1d2b526e11c3dc1596b77ccbbaed11c4f

Observation 9339bb37-2b2d-48c8-a807-5f2470f7ec11 · outbound

This paper cites Denoising Diffusion Implicit Models.

Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production Denoising Diffusion Implicit Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:13.882633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:13.882633Z digest=sha256:67fde5bafbc6e9ce8de4e5f85ba88bbeeb5f208bb53fc91bfc366352cafcf5f9

Observation 0fd06437-33d2-472f-b709-377e3c43767c · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:13.645793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:13.645793Z digest=sha256:0c2d0183430bab7e5d912608115cef1b81c1fc191eabeb6367185ff3e69644fd

Observation 0d54480f-cb22-469a-89ba-373d18902539 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:13.810305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:13.810305Z digest=sha256:2e2c0a8d099c49a6d43236a637c1dd11113346c9c2d4dd1568195532d14b2bea

Observation cbf9dc75-72e3-4181-a7d0-6d7b19b390a0 · outbound

This paper cites Flow Matching Guide and Code.

Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production Flow Matching Guide and Code

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:13.686461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:13.686461Z digest=sha256:134b9bced4294d9d30cb7bac573df4e9a9cae3c4c4b21fe4fddd52c1c3890947

Pith citing papers

Observation 8ec61655-dcd1-4f77-a74d-5360ddda65d6 · inbound

Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning cites this paper.

Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-03T02:05:09.471194Z

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.

source=arxiv_source observed=2026-05-12T02:39:09.935429Z digest=sha256:787ccb0fa14d6cea68699c2353c463ad6f3a200546f1d15272e421743822ee4a