Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.778745Z digest=sha256:6d37041914d028486515e4317b47265405d697f37361d1566ffff54409ec5c81

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.784114Z digest=sha256:4fac9cba3457f7c489885cc86909d5eabe7aae1d19b93e6cdf1cc49c27544efc

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=sha256:6f57b0d780b359f3b3e98c2c65e951f0a8227fe75bfe79c75526cd0f5d4362de

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=sha256:278bf981ccc7162b281327d05342ff6a9849bb6c957ad12f805372fada194805

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.800094Z digest=sha256:36fa0fea23ee32d9820150cf793ea516465266dc88a4ab56e1cb3f3fc90768a3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.805597Z digest=sha256:a79912469c8dc69a44f033f44686405caed6753d428e9e9441b30425d533dc56

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.811160Z digest=sha256:6d3c5c6099ea0bdbc1cf8e72cecde9d2afa9f0e8588f0982bf527d5a22fb0977

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.820783Z digest=sha256:5b0f71d00d5006f62403f552be1c293aaff284eefa603c5b4a1d7bbfbe3ae741

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.826349Z digest=sha256:3cc856909e624961056156c1f1168282ad1dacdbdfef173600b0f019e7e52641

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.831429Z digest=sha256:f4f35d58cd3a68ecfb1d1d838e42d53e9169b797a17d8da0cae46dc55dc86608

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.836192Z digest=sha256:3e4049b68c02ff2cdb4489021f3d48a111d71892fe18297406c73d7faaf89148

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.842210Z digest=sha256:152a151b9ffe52a15b6f4b5c9ec5e25d8191555cb603e84450d28e682a0a74e3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.846886Z digest=sha256:7d211de73f596be802ec09132ea5e7cb44ec2ce8ad85970e70ad4f42f8ac0827

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.851564Z digest=sha256:bc099f04c75bd080f29b63faaa97da061ecd1eb0e6e04b9bb0a870aa90ad78e5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.856009Z digest=sha256:5289dc3390936840d37fb5f9ded6c3fdebc0bfcbec3da944495d39c2e2c0b38f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.860424Z digest=sha256:7d43b645046b374785aa6f732675c82f69c83bdc3588ee1f7f020eb482e88ab7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.864772Z digest=sha256:23d49aa6b6678a5340bc707a19e9d641f4fbb2495594c0c048351a3ce65cbf14

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.868956Z digest=sha256:66ac6d159380d3c742571741b79b1784ea4361f47ad18aeca5a7d0d67a5be08b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.873367Z digest=sha256:3a71bcfc7a68d02c30c9262c2b84623d7e803d0299e04239f55de98eec9cb034

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.877788Z digest=sha256:d0c0284a8be5c6cb9b3876359b5afa5549ab497eab20fe416b34436183a04a38

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.882113Z digest=sha256:4a1811622eb64345a8643f8aacfb59b9437a9856e5601fb9373b3f57c9ea4c2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.888376Z digest=sha256:7bee5bd516a802d6617763ff86bec76983e11f9e5cea8ad154322b25a17e785d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.893268Z digest=sha256:f985b8b92f38023b5f9343d8ccee9436e70ee090b4f8cf6fc45aa91da65dea78

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:fe2ba77ecd5d29e7449544d46a51acacb0a35f45e46da090b9eb4377faef73bc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:35:35.902109Z digest=sha256:4671257a4d0392d2f10d832abed124b96f2b5def7231d8de67b7f790af82c475

Pith citing papers

No inbound Pith citation observations are available.