Pith. sign in

Paper Citation Record · LEDGER

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.00248.

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

pith.paper-citation-record.v1
2507.00248 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:25:50.220581Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

12 of 12 outbound references displayed

  • verified exact4
  • verified fuzzy6
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 849ebb59-af67-4f5a-aaed-d473618de1b5 · outbound

This paper cites SLAIT’s real-time sign language translation promises more accessible online communication.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition SLAIT’s real-time sign language translation promises more accessible online communication

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:51.743419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:49.327324Z digest=sha256:210de3517c9933a854503a08c646c8eacfff78bf9a8c0081e6641b62b74f3558

Observation d14b4ec0-1a27-4ce2-a191-a435458ee682 · outbound

This paper cites KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:25:50.930863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:49.424509Z digest=sha256:2538795e86999ae6bc3063c4aa7f85145c2879fe2674c546d594540c6c7d4849

Observation ed534b19-323a-47dd-9265-b38b33805708 · outbound

This paper cites Sing Language Recognition - ASL Recognition with MediaPipe and Recurrent Neural Networks.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition Sing Language Recognition - ASL Recognition with MediaPipe and Recurrent Neural Networks

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:51.651417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:49.493427Z digest=sha256:198e6bf27364d10247a1da07dee9fc84457dd882d0ae677314806b87f229df76

Observation f29ae677-a203-4754-815e-526ebb16028d · outbound

This paper cites A Comparative Study of Continuous Sign Language Recognition Techniques.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition A Comparative Study of Continuous Sign Language Recognition Techniques

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:25:50.778179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:49.579865Z digest=sha256:0e05c79efb8d2d6886268d0fd775c083f923cbde9fe7d80130f079131963894a

Observation f81fcd57-9ca0-48a7-9d55-dfcfff13814a · outbound

This paper cites GLoT: A Novel Gated-Logarithmic Transformer for Efficient Sign Language Translation.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition GLoT: A Novel Gated-Logarithmic Transformer for Efficient Sign Language Translation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:25:50.626842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:49.687046Z digest=sha256:5beb5bdc1798016e3605e46265749e71e25ed09f06a77c66bb76de475c3dbd0b

Observation 90c20b43-4fd0-4810-9c78-293ced8a3038 · outbound

This paper cites Sign Language Structure: An Outline of the Visual Communication Systems of the American Deaf.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition Sign Language Structure: An Outline of the Visual Communication Systems of the American Deaf

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:51.499357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:49.775941Z digest=sha256:e37843bd13abc49414dd1ecc4e2c088faa860ef76c5aeb9e1159fc6482cffa49

Observation df2fae71-2df3-4042-ad3e-e24675a64cec · outbound

This paper cites Cross-platform, customizable ML solutions for live and streaming media.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition Cross-platform, customizable ML solutions for live and streaming media

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:51.373367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:49.838959Z digest=sha256:d61591f691673c9b16ad80779e9f4ba4858404cc4cba394ed45d73511040e7ff

Observation 891dcb86-cdf1-46c7-9270-5a55f83e7d46 · outbound

This paper cites Improving 3D Pose Estimation for Sign Language.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition Improving 3D Pose Estimation for Sign Language

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:25:50.438021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:49.884781Z digest=sha256:0ad09d53ba2f1ee1b0b7203810ede4e0bf446d06081796cb084ade90e1ef1bdb

Observation 6282190d-a18f-4b77-b16f-7565b17a1231 · outbound

This paper cites ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:49.999833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:49.999833Z digest=sha256:8c3212c7ef4b858b3fdd7d3181edc52ca0e5edbb94d0dcb73122ea0e84d132d9

Observation e0e82959-4b04-4d55-9e4b-1016e19b0915 · outbound

This paper cites Improvement in Sign Language Translation Using Text CTC Alignment.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition Improvement in Sign Language Translation Using Text CTC Alignment

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:50.075581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:50.075581Z digest=sha256:3dbf97658e7169a0bcacc945589f5fd309e7c8520241e8050469505022154548

Observation dc47646d-7ba0-4991-ab0c-52d1f655a09d · outbound

This paper cites Google Isolated Sign Language Recognition Competition.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition Google Isolated Sign Language Recognition Competition

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:51.206852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:50.153041Z digest=sha256:0d178a2cb974c7da60a89a8df64dbcb268f09058eb639a7743bdacaba48b23f2

Observation 11f97c45-d7b3-4517-9841-78878a8d3e9e · outbound

This paper cites ASL Signbank.

Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition ASL Signbank

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:51.110659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:25:50.220581Z digest=sha256:a61c542e79cf91934478f806c9159fdf1e80cd5990d5075daa35eeb37cd3b6a6

Pith citing papers

No inbound Pith citation observations are available.