Pith. sign in

Paper Citation Record · LEDGER

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2508.16076.

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

pith.paper-citation-record.v1
2508.16076 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:35:35.902109Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

25 of 25 outbound references displayed

  • verified exact3
  • verified fuzzy18
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aeb0774e-5e76-4637-835e-4186965ae1a7 · outbound

This paper cites American sign language recognition using deep learning and computer vision.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation American sign language recognition using deep learning and computer vision

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.487367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.778745Z digest=sha256:dbe9f83d979685fc9f03508869663744260137666083678c0da67d70492ceb95

Observation 9001e947-a2c0-4680-8d0c-110e3fab330b · outbound

This paper cites Bdsl47: A complete depth- based bangla sign alphabet and digit dataset.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Bdsl47: A complete depth- based bangla sign alphabet and digit dataset

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.464729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.784114Z digest=sha256:4f6947897529355a65e42de0b85feae1366d6429ff9e8d6c9fe8a2338ca8698f

Observation 9c152540-18d6-4bba-990c-26cafa7d3974 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T17:35:35.789567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:35:35.789567Z digest=sha256:96114f413e1008a1842364ba37804a950112699ee1a34ff3c1ac5483fa134a90

Observation 2d188460-da98-4a06-9e58-2c12ca7d4bb8 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Learning transferable visual models from natural language supervi- sion

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T17:35:35.794960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:35:35.794960Z digest=sha256:a7c040842e2569c6e5a4d969c5e3d8d50560791d103701a52c96c7b07e482c00

Observation a13e8b4b-576a-42a9-b01d-777e98ef978e · outbound

This paper cites Video Transformers: A Survey.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Video Transformers: A Survey

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T17:35:36.142465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.800094Z digest=sha256:adf53b4d95a682b3abc67bd1a02993314cb6c32162e12cb18e3151980d814e1d

Observation 3d7d7510-54ab-4904-8c50-bd9009eaf8aa · outbound

This paper cites Asl-3dcnn: Ameri- can sign language recognition technique using 3-d convolu- tional neural networks.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Asl-3dcnn: Ameri- can sign language recognition technique using 3-d convolu- tional neural networks

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.433185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.805597Z digest=sha256:9b5ce610148eda9de1d275e8c2d7082cdfaa0e1a5bac14015c9bff4fffa48593

Observation bf4ed908-969a-4202-833c-c61e1dd7543f · outbound

This paper cites Amer- ican sign language recognition and training method with re- current neural network.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Amer- ican sign language recognition and training method with re- current neural network

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.413346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.811160Z digest=sha256:b4034c2b62c0c3a88a5fbcb286edcd03ad22b7c6f7b1b18fe95bebd3c7c4662f

Observation 1ee4ace4-9ac3-45b1-9f10-208578e85b6b · outbound

This paper cites Addressing resource scarcity across sign languages with multilingual pretraining and unified-vocabulary datasets.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Addressing resource scarcity across sign languages with multilingual pretraining and unified-vocabulary datasets

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.394828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.820783Z digest=sha256:5dc7b07616fc00d41c4879a9237d005f5752de777c1c4ba61972a0eeee65d0e2

Observation 487e97e0-9c11-45b4-9674-a34513c32338 · outbound

This paper cites Hochgesang, Annemarie Kocab, and Alex X.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Hochgesang, Annemarie Kocab, and Alex X

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.377155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.826349Z digest=sha256:e95504ba262917f551440873c668f266e68792a8f8e4b9c1714c7349e088ef0d

Observation ac3c3a28-ab78-4325-87d5-a96428048800 · outbound

This paper cites Sign language recognition for low resource languages using few shot learning.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Sign language recognition for low resource languages using few shot learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.362597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.831429Z digest=sha256:a66f5e84ba2a47190c03303c00307f0691d9ada2d168b1931457b03614d7164b

Observation 2392b83d-3fc2-4f53-aa42-005544575b47 · outbound

This paper cites Generating Signed Language Instructions in Large-Scale Dialogue Systems.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Generating Signed Language Instructions in Large-Scale Dialogue Systems

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:35:36.119373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.836192Z digest=sha256:4ac7a37af0352b7fc508cdac0162b3da6bab2b345d4dcf6b85f81b33a9414739

Observation 1518cf9f-c623-4583-9a90-af751ec9727e · outbound

This paper cites SignLLM: Sign Language Production Large Language Models.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation SignLLM: Sign Language Production Large Language Models

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:35:36.097124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.842210Z digest=sha256:6a03d8dafaf81416f425ff9393706e68ecd1593d85d4c5e32837f744730a503e

Observation 4fd5eca4-56cb-4850-9d1b-be2e432f0175 · outbound

This paper cites The importance of variation research for deaf communities.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation The importance of variation research for deaf communities

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.347251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.846886Z digest=sha256:db9ad17068e03782d1e02cc1074d95813cca67703d9f909abd7fd7ce1b586ac1

Observation a73394f1-a451-48c9-a8fa-3ab98c169856 · outbound

This paper cites The social structure of signing communities and lexical variation: A cross-linguistic comparison of three un- related sign languages.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation The social structure of signing communities and lexical variation: A cross-linguistic comparison of three un- related sign languages

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.328093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.851564Z digest=sha256:8b781d53b22e7fa610734158e1c0a05b9ee1f87edf7b1b47738e5ddcce1b16fc

Observation 5a6ac2fd-3d98-4289-9fbc-c1fb2c6450b2 · outbound

This paper cites Bdslw60: A word-level bangla sign lan- guage dataset.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Bdslw60: A word-level bangla sign lan- guage dataset

Reference 15

Resolution
verified exact
raw_fallback, observed 2026-08-05T17:35:36.072961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.856009Z digest=sha256:bea846624820aae923fe578833d9b120f182490605c0246ee6e91294c72d41b4

Observation 5443ce0c-f1b6-469d-ace7-53da641165e8 · outbound

This paper cites Bengali-sign: A machine learning-based bengali sign lan- guage interpretation for deaf and non-verbal people.Sensors, 24(16):5351, 2024.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Bengali-sign: A machine learning-based bengali sign lan- guage interpretation for deaf and non-verbal people.Sensors, 24(16):5351, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.309873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.860424Z digest=sha256:cbd358b7c769820cdddc805c9ef93610b09b10515d17b589fe780a565e861da5

Observation 4f7e1750-cb11-4182-9727-81ed70ce15bc · outbound

This paper cites Bensignnet: Bengali sign language alphabet recognition using concatenated segmentation and convolutional neural network.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Bensignnet: Bengali sign language alphabet recognition using concatenated segmentation and convolutional neural network

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.290592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.864772Z digest=sha256:0c08cfdbad475fefc009bc886146c5440da406cdf551609a035fe2cbcb2c77ef

Observation 16e6d963-f7d1-432d-aaf9-f3e9417b5294 · outbound

This paper cites Vision-language models for vision tasks: A survey.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Vision-language models for vision tasks: A survey

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.272036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.868956Z digest=sha256:13bce7bf51de9163cb58c0f7dee9c756269d93aecad8f469c717dabb9f860b5b

Observation a774b2e5-0aa6-45dd-adbc-64fedde326de · outbound

This paper cites From image to lan- guage: A critical analysis of visual question answering (vqa) approaches, challenges, and opportunities.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation From image to lan- guage: A critical analysis of visual question answering (vqa) approaches, challenges, and opportunities

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.252941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.873367Z digest=sha256:40c66c10ce878c217d4738bc46941aecec64002e3169da5014e43ed07b99166b

Observation 28d2aa3a-3075-45e5-9047-850ae79e748f · outbound

This paper cites Student perceptions of feedback and self-regulated language learning: A mixed-methods investigation.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Student perceptions of feedback and self-regulated language learning: A mixed-methods investigation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.236393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.877788Z digest=sha256:770ef82d4536e228197bdfd7672f56b9a2b6c454827aa724a8ec8d53ba862c7e

Observation d46e670a-c6fb-4729-9c28-c810f44671e1 · outbound

This paper cites Learn2sign: Explainable ai for sign language learning.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Learn2sign: Explainable ai for sign language learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.221774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.882113Z digest=sha256:c1af4d14cd8e28a9cf56b6d951ab40dc465d961032ab1ec7885b95cc8b77e47d

Observation 21c27e79-2167-43be-80aa-1a9a2fe3dbfa · outbound

This paper cites Sig- nAlignLM: Integrating multimodal sign language process- ing into large language models.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Sig- nAlignLM: Integrating multimodal sign language process- ing into large language models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.206474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.888376Z digest=sha256:ba4046b356bce00dbbb62ee7c0764750f3b5132914b1f68762a36833935012fc

Observation a071470a-878f-4560-ba65-4dceef377597 · outbound

This paper cites Sign Language and Linguistic Universals.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Sign Language and Linguistic Universals

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.190543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.893268Z digest=sha256:abb2f94942606bcd22ac9d69ef3aac376cd80d97df90327f66e8da29c4d3446a

Observation d90997c3-1505-4637-b6d3-f11cf0d632c2 · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T17:35:35.897514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:35:35.897514Z digest=sha256:82c21989e2ae1183ea0fd5d22010a1edf72c392127eac19f37a03aa9220109a6

Observation 1b206de5-d3df-4692-8c32-ff38b0089f81 · outbound

This paper cites Task contamination: Language models may not be few-shot anymore.

Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation Task contamination: Language models may not be few-shot anymore

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:36.174757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T17:35:35.902109Z digest=sha256:d7a48710eba51fb5bce95151c7ff51a65039c69a4ea2e7a19061ea9530260ffd

Pith citing papers

No inbound Pith citation observations are available.