Pith. sign in

Paper Citation Record · LEDGER

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

As of 15 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:49.327324Z digest=sha256:d3cee8bb8e94c5a0c8ee48e44ef03d3c1116ffe65a645b8e1b26882230cb954a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:49.424509Z digest=sha256:bc7f289fb554ec4f5f294380a1fb66d4c743ea6e91eb900bae3dbd3a2474b45a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:49.493427Z digest=sha256:2a52d4d68bbfb6235c91ac1a99b228ce2b8f6d4c40db84e9d34044907b7f31e1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:49.579865Z digest=sha256:aa129617ce7195801249bc1fd6f95351d8be9cc2ed48ae9e4852d077abdc9f5a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:49.687046Z digest=sha256:f16c821720459c043fd52bb5732f872d3ac45e3c0e63b68672708e37177903ba

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:49.775941Z digest=sha256:090d3c40642c3b3047d7b7491f25fff481c10bcda03100d40b2b7a38f7b2798e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:49.838959Z digest=sha256:dd3f5f40f7736b536d9c878d29dddad9c4494d1ebe7df6e9889f104aa34befc0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:49.884781Z digest=sha256:be0560708858173f6f67a6bc5305a85a7b5250ac6bc41a4d68b6e0e32d46122a

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=sha256:2fa5846315e67b9fbc91792346b7f673c2e66963c6776361476692ffc9e203cf

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:f3a9363ecdd3532e7a089ed7e148334378f80a95bcee1f409525e1e1cb43c1a7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:50.153041Z digest=sha256:639169d0f74cac36fe1d04a4d72c06b5151d226a5bddbafc90553cecaaed326c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:25:50.220581Z digest=sha256:90939396936f228b0412b669441249427da8ec9d6d4b4be78aeb0d3e543f2eef

Pith citing papers

No inbound Pith citation observations are available.