Paper Citation Record · LEDGER

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2508.09372.

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

pith.paper-citation-record.v1
2508.09372 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:12:03.535110Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:08:58.092413Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T21:08:58.195382Z

Reference resolution

39 of 39 outbound references displayed

verified exact2
verified fuzzy31
unresolved6
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61d268e1-1dfe-414d-ac93-91e44f4536a9 · outbound

This paper cites https : / / www.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition https : / / www

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:08.039929Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5dae6a81-458f-4ef1-abef-d33d84ffcf1b · outbound

This paper cites A comprehen- sive study on deep learning-based methods for sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition A comprehen- sive study on deep learning-based methods for sign language recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:07.917529Z

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Observation 4cd37799-1074-4f6d-9713-c64002b82a95 · outbound

This paper cites Slow- fast network for continuous sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Slow- fast network for continuous sign language recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:07.797875Z

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Observation e20b25a0-876c-4d13-9e41-6f63e77ed30e · outbound

This paper cites Understanding vision-based continuous sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Understanding vision-based continuous sign language recognition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:07.699992Z

Source-reported events for the cited work

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Observation 7b147fc6-1a99-4e34-a8e0-809834af7456 · outbound

This paper cites Swin-mstp: Swin trans- former with multi-scale temporal perception for continuous sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Swin-mstp: Swin trans- former with multi-scale temporal perception for continuous sign language recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:07.570997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46941d8d-5655-493b-9154-8c000b6ad84f · outbound

This paper cites Reviewing 25 years of continuous sign lan- guage recognition research: Advances, challenges, and prospects.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Reviewing 25 years of continuous sign lan- guage recognition research: Advances, challenges, and prospects

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:07.444759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75fcd9e6-99a3-4518-920d-0fd0fd9cde29 · outbound

This paper cites Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:12:03.969252Z

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Observation 50c7dadb-46e1-4c1d-9820-9f2c07b917f3 · outbound

This paper cites AraBERT: Transformer-based Model for Arabic Language Understanding.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition AraBERT: Transformer-based Model for Arabic Language Understanding

Reference 8

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Source-reported events for the cited work

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Observation 10bc3393-d89a-4751-9519-d1ef1d7d3abf · outbound

This paper cites A signer independent sign language recognition with co-articulation elimination from live videos: an indian scenario.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition A signer independent sign language recognition with co-articulation elimination from live videos: an indian scenario

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:07.295488Z

Source-reported events for the cited work

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Observation 23177047-9673-4fb6-bb85-d1c08515741b · outbound

This paper cites Subunets: End-to-end hand shape and continuous sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Subunets: End-to-end hand shape and continuous sign language recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:07.243508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52a7b759-98d9-41bd-afe8-4a14c37784d7 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Unsupervised Cross-lingual Representation Learning at Scale

Reference 11

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Observation 05771b13-daf0-423d-8ec3-c89d7dabd684 · outbound

This paper cites A deep neu- ral framework for continuous sign language recognition by iterative training.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition A deep neu- ral framework for continuous sign language recognition by iterative training

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:07.147521Z

Source-reported events for the cited work

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Observation 47f8e4a6-13ff-43a8-a4a2-7c2ec68e4fc0 · outbound

This paper cites Spatial–temporal transformer for end-to-end sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Spatial–temporal transformer for end-to-end sign language recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:07.058188Z

Source-reported events for the cited work

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Observation 5fb4993d-cb45-47b0-8ae8-de19aa494f8f · outbound

This paper cites A survey on continuous sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition A survey on continuous sign language recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.975119Z

Source-reported events for the cited work

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Observation dc6fb1ca-25e4-4075-8c5e-2b918c7a5e47 · outbound

This paper cites A comprehensive survey and taxonomy of sign language research.Engineering Applications of Artificial Intelligence, 114:105198, 2022.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition A comprehensive survey and taxonomy of sign language research.Engineering Applications of Artificial Intelligence, 114:105198, 2022

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.955305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de24782d-5d9f-4f00-8719-16f3103427bd · outbound

This paper cites Extensions of the sign language recognition and translation corpus rwth-phoenix-weather.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Extensions of the sign language recognition and translation corpus rwth-phoenix-weather

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.903822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d333035d-27bc-42a0-bfca-db9ddfa8076c · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 17

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Observation 9d6e07af-e3de-4174-9279-b39644d2194d · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 18

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Source-reported events for the cited work

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Observation d53eeecb-7f59-40c2-ab50-115465601e12 · outbound

This paper cites Self-mutual dis- tillation learning for continuous sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Self-mutual dis- tillation learning for continuous sign language recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.745067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4eb0399-c753-48de-a9b9-fdfb4b16968c · outbound

This paper cites Long short-term memory.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Long short-term memory

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.641817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec7f67d5-3c10-4b7b-ba00-61b3823fb45e · outbound

This paper cites Tempo- ral lift pooling for continuous sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Tempo- ral lift pooling for continuous sign language recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.542516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31b42a76-bd73-4595-b18d-eb30ed0fa0a7 · outbound

This paper cites Con- tinuous sign language recognition with correlation network.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Con- tinuous sign language recognition with correlation network

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.413712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51a7edd5-ce13-4a77-9bb6-1474a7855b2d · outbound

This paper cites Self- emphasizing network for continuous sign language recogni- tion.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Self- emphasizing network for continuous sign language recogni- tion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.236076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c411d8c4-0e01-4f0e-9d89-607a3b4d1463 · outbound

This paper cites Video-based sign language recognition without temporal segmentation.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Video-based sign language recognition without temporal segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.167735Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 535dbc9f-448a-4faf-9df8-1a5fa7441223 · outbound

This paper cites Theruslan: Database of rus- sian sign language.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Theruslan: Database of rus- sian sign language

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:06.051654Z

Source-reported events for the cited work

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Observation a2d76d93-9bea-46b6-b88a-6e3dcd79fb46 · outbound

This paper cites Temporal convolutional networks: A unified approach to ac- tion segmentation.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Temporal convolutional networks: A unified approach to ac- tion segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:05.991537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dca0251c-7027-43b6-bedb-3ea0b666461c · outbound

This paper cites Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:05.935891Z

Source-reported events for the cited work

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Observation 760867c2-af2a-4a5d-998a-61ba64b44168 · outbound

This paper cites Multi-View Spatial-Temporal Network for Continuous Sign Language Recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Multi-View Spatial-Temporal Network for Continuous Sign Language Recognition

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:12:03.752936Z

Source-reported events for the cited work

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Observation 6fe5b7cd-d3f0-4697-89e2-ab92c354ea6c · outbound

This paper cites Automatic transla- tion of arabic text-to-arabic sign language.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Automatic transla- tion of arabic text-to-arabic sign language

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:05.719597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59066d9e-9066-4936-b4ce-6e1845ecdb29 · outbound

This paper cites The signeval 2025 challenge at the iccv mul- timodal sign language recognition workshop: Results and discussion.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition The signeval 2025 challenge at the iccv mul- timodal sign language recognition workshop: Results and discussion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:05.471187Z

Source-reported events for the cited work

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Observation 868ac5a0-b71f-48a5-aa66-aff7be3d1ddf · outbound

This paper cites Visual alignment constraint for continuous sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Visual alignment constraint for continuous sign language recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:05.219573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d4e12527-b9a2-4e36-98d0-656c1afb180e · outbound

This paper cites Fluentsigners-50: A signer independent benchmark dataset for sign language processing.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Fluentsigners-50: A signer independent benchmark dataset for sign language processing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:04.987932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29ff5adb-ab5a-4b1a-abcc-98553b1a52e2 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T21:12:03.183519Z

Source-reported events for the cited work

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Observation fea13a6b-8f9c-40dc-8a8b-055603da3ff3 · outbound

This paper cites Karsl: Arabic sign language database.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Karsl: Arabic sign language database

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:04.728199Z

Source-reported events for the cited work

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Observation 217ff922-75eb-4b51-8e96-dfb7a67a064d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T21:12:03.298426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de709aee-e5b4-4e54-b241-35c6814dbbd6 · outbound

This paper cites Signum database: Video corpus for signer-independent continuous sign language recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Signum database: Video corpus for signer-independent continuous sign language recognition

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:04.537399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 529654f1-62b1-4c31-bf70-01367fff0608 · outbound

This paper cites Spatial tempo- ral graph convolutional networks for skeleton-based action recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Spatial tempo- ral graph convolutional networks for skeleton-based action recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:04.361623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 229e3e69-2eb8-4dea-9e72-6778a1c5aaef · outbound

This paper cites Wisign: Ubiquitous american sign language recognition using com- mercial wi-fi devices.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Wisign: Ubiquitous american sign language recognition using com- mercial wi-fi devices

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:04.246017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a98885c0-f164-4251-9e54-b6d871f44c31 · outbound

This paper cites Spatial-temporal multi-cue network for continuous sign lan- guage recognition.

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition Spatial-temporal multi-cue network for continuous sign lan- guage recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:12:04.109237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 0d1a2fff-8fde-45c7-a5ad-a3211f0567f7 · inbound

Pseudo Empirical Likelihood Inference for Non-Probability Survey Samples cites this paper.

Pseudo Empirical Likelihood Inference for Non-Probability Survey Samples A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:08:58.297357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.