Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.778745Z digest=sha256:b5c94f10e4ddd3d6d3ad19b38e3d3328698ba9501b9706a8d4dc090bdd2b1435

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.784114Z digest=sha256:8ef6dc8decc7cbd24db87b3892a46d3e827c11ed20603efab48e42ce191c874c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.800094Z digest=sha256:055a085edc16f213279f73f89de915f2c8f009f51f66387bbee4a0c4181f96a7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.805597Z digest=sha256:6e84203e13dabb762da8763ba49cf2aecb8662c463155d2960459b94541b9c11

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.811160Z digest=sha256:4a86182815b19e827e06329db2cbdadfb4e5ec180abb34f927089cd1ff51c346

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.820783Z digest=sha256:8f443e597ed4176d87573e127ee791b053971f4a5577d29752f6d73ebb698eb8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.826349Z digest=sha256:9ea1bd3294d4c249700daf577656f293b11e35ee122270f53fa3f4c5f20aba55

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.831429Z digest=sha256:f5bb299aac78e6e2af6151fc2c4e17c66e28556936a67f5d20cdfdeac80e4ab3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.836192Z digest=sha256:d7c090b8664a058f2f84c51b85ead27ade85b4adf37047337561ad92800f1098

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.842210Z digest=sha256:a8b3f2e85871ef2f371e6b111110aebe0d6cb57f5e4d0d0b1007411a73fbd4ad

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.846886Z digest=sha256:da9124531fa9e8f857531517a084175aa38d14950736e5c771c418e26b29a178

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.851564Z digest=sha256:2f077829abf6e52f6d67a100dfb71ec9039305d3d3b291e9f7def53546e36c6b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.856009Z digest=sha256:dd9d7e6801761e8eb0b60d809e59eacc50c653e18ebdcd10f552be99e95a46d3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.860424Z digest=sha256:4e79facf03a46fedcfb785a772f5dd58afeaced607fcc68dd2cbbe2204a0da16

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.864772Z digest=sha256:b00082c7ae1cdf37c163d2eaf8849b9308c5755e89837bef63cce5a72b598e82

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.868956Z digest=sha256:81d683ef3903589514c2fddfc6b7335530333b7281d582373fbfc0a22bb02d9a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.873367Z digest=sha256:e56b99c560d8b9dfdccaaa4aef49c400c8ff63a03f8ff43df3126c213fcd7a6e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.877788Z digest=sha256:691495922c885cd0c2234da1765bc982d6fa7fa4acff944301c2494046aeaad0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.882113Z digest=sha256:f0f5e4688874a6ccf2218e0b84408fd8493f07e934fee1ba57e14774e288d117

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.888376Z digest=sha256:88143ef49431aa744b34d4d2e3b989d3e4fbdafdfe304229afda4bdb2d499bf7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.893268Z digest=sha256:5cf7eb4be2000be6079c1b75eabc108d7c3ef11d97e4c97b39e0e6bb5201511e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:35:35.902109Z digest=sha256:fd121295dce0ba74a4f5ab8e75a03b981e02cc4bd7ae67846f07c979f0433041

Pith citing papers

No inbound Pith citation observations are available.