Pith. sign in

Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:49.327324Z digest=sha256:ca828bbae7d02417f3f43a566aeb2fc933b76c0ded5b9aeeef335124e2cb55ca

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:49.424509Z digest=sha256:e07f6e11e7cc5039137d6641fd301fff8d37ba64a393a346fe98c6bc5da25a43

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:49.493427Z digest=sha256:ae6235971af750d1bbfae38bb0be3a2b59a9c5daa8b0b0400a4d4fa343db4725

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:49.579865Z digest=sha256:6e63f2055f339fa06f0a2ac89eb15dc98a604271a7059b8b72bf77ffd4ca0dc1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:49.687046Z digest=sha256:2dfbdea7d92959d5fef52bd73c27f85a655d96246f3a035aa5d4e937b34e3c2d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:49.775941Z digest=sha256:06d1b31c926801d8618acf8b7808df39e85cb3071bc2bb2ba54fc0c03713acbb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:49.838959Z digest=sha256:ea1fa9a7aaf6c2c352982910a3a3166648dace638158b9cf2b1c8c52be3f5d0c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:49.884781Z digest=sha256:309b33ebe173d5977e7dab203f1df02a7ba7401c249215f39a572ebb0de967d8

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=sha256:4c57c284c85243ce0523924188fe99ae0d43b7c83774b334e0d071e7b38152e7

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:ca6514a0177d759b0b9b3820056913d19762420ec405fafb25cdd2dae1fa231d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:50.153041Z digest=sha256:6d43092cf9ef608e41a6eed9a1edc74b1905bd26d55bda20ab06a35229dcf2aa

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:50.220581Z digest=sha256:f2dc807f0bbac834f53977a823bd97765ddb6984aea5fd99449e555cda6f708e

Pith citing papers

No inbound Pith citation observations are available.