Pith. sign in

Paper Citation Record · LEDGER

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation

As of 11 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2507.09266.

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

pith.paper-citation-record.v1
2507.09266 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:06:31.671501Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:12:03.637101Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:12:05.391846Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a52a65da-9333-4835-8ed3-b4eacbac8b7e · outbound

This paper cites Bsl-1k: Scaling up co-articulated sign language recognition using mouthing cues.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Bsl-1k: Scaling up co-articulated sign language recognition using mouthing cues

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:41.280751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.307781Z digest=sha256:cea2a6e1e185d97e0acd9d71243fec620f4dabb671813d3a1bb665e0212dbdf6

Observation 4712e480-fe0c-4498-9603-9d4bc1ef901e · outbound

This paper cites Distri- bution and duration of signs and parts of speech in swedish sign language.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Distri- bution and duration of signs and parts of speech in swedish sign language

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:41.072146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.351871Z digest=sha256:26dc2a715ebf096d994805cac7c46a69aeb3276176bd18f9fe5c03a3e653717b

Observation 449296e6-e0bb-4d9a-a746-2fdf44b6c578 · outbound

This paper cites Neural sign language trans- lation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Neural sign language trans- lation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:40.918567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.408542Z digest=sha256:ee980bad5ca3e5eb7b86f71df1eaafdb1a012eee9a0b15f0b4f5176d0422596a

Observation 0d863b46-e4ba-4f56-8376-3bdc2dd31517 · outbound

This paper cites Sign language transformers: Joint end- to-end sign language recognition and translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Sign language transformers: Joint end- to-end sign language recognition and translation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:40.692815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.469571Z digest=sha256:9dbb6f4dcaa77af0d59db27c1b48f006f851c386a6848f5d1df420d9c796a28d

Observation 7e03ff57-c5a7-45b3-a09d-eeb4455c6a44 · outbound

This paper cites How2sign: A large-scale multimodal dataset for continuous american sign language.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation How2sign: A large-scale multimodal dataset for continuous american sign language

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:40.499321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.529938Z digest=sha256:776eec8f28ea7217dee61fec3545f843f62d0ffd1680e8cba5448ee5759a7239

Observation 08a186d4-1b97-423d-b232-381826d41939 · outbound

This paper cites A simple multi-modality transfer learning base- line for sign language translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation A simple multi-modality transfer learning base- line for sign language translation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:40.304141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.613161Z digest=sha256:0332e21f7f9dcb7cee65b96ab0ecfd21569f490a04c15418c4cdd1e397d90c9e

Observation d25518f8-38d9-4a7c-a468-50f07064536c · outbound

This paper cites Two-stream network for sign language recognition and translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Two-stream network for sign language recognition and translation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:40.085358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.675578Z digest=sha256:eca1fdc19722d3bf27b275965f52310a64ecd38e792267e515d08d2bc2cb0550

Observation 5a246aa6-55b7-413e-9b5a-437f821e700f · outbound

This paper cites Factorized learn- ing assisted with large language model for gloss-free sign language translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Factorized learn- ing assisted with large language model for gloss-free sign language translation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:39.917408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.739213Z digest=sha256:cd71e054ee811a2a6ac6005eb3fcf54b52e5d42f42b16995b717828ce71765e3

Observation 88c98260-0f8f-4be2-a469-160d4a36ea44 · outbound

This paper cites Cico: Domain-aware sign language re- trieval via cross-lingual contrastive learning.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Cico: Domain-aware sign language re- trieval via cross-lingual contrastive learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:39.688485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.791618Z digest=sha256:0918de9ffcd98ef00b7db4f79a7b459f54daf071253ffa954a4bb3061b0fca8a

Observation 5ba5db13-56a3-458b-ade2-f1450658b938 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:39.482242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.853012Z digest=sha256:e3bf102ed48947fab75c130fe1fc925f948daedf8da1a793f28441cbaffaf45c

Observation 4e72facc-5fb1-4e65-9c6a-8a40bf7aa331 · outbound

This paper cites Geo-sign: Hyperbolic contrastive regularisation for geometrically aware sign lan- guage translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Geo-sign: Hyperbolic contrastive regularisation for geometrically aware sign lan- guage translation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:27.911705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:27.911705Z digest=sha256:74566bf93753c331e116349ea1b5fe9657e7e9d8c74bfaea4ae4eda1fc841176

Observation c58cfdb9-561f-4f84-8b0d-831fccceb458 · outbound

This paper cites Llms are good sign language translators.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Llms are good sign language translators

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:39.278571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:27.974213Z digest=sha256:6e41426b64741e991e2ccd2d1d74b17317656aab375cfb635a38bea8d740660a

Observation dfa8f241-8cb6-45a5-ba31-e78d0c536470 · outbound

This paper cites Noise-contrastive estimation: A new estimation principle for unnormalized statistical models.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Noise-contrastive estimation: A new estimation principle for unnormalized statistical models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:39.099957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:28.036254Z digest=sha256:68ec3fec0771c24bf5472a23fc3c16615bbe6e9943a3e4beaa4ec9ceb6cdb1f3

Observation 0ddf92cd-9a18-4f42-afef-07638417fabc · outbound

This paper cites Hand-model- aware sign language recognition.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Hand-model- aware sign language recognition

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:38.937103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:28.146829Z digest=sha256:f11908fe0d93e2521dc085d1343276d8cbcb64167677da024e8572155bf07f54

Observation d99e29e2-ab60-4ce0-ac31-214ae882a8c7 · outbound

This paper cites Contin- uous sign language recognition with correlation network.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Contin- uous sign language recognition with correlation network

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:38.804850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:28.241881Z digest=sha256:af9ced1f8f0fcf98deb80c3bba87cc90cc419bcf2747ed645e6d2114a4b280ef

Observation 83121391-427c-4dfa-ab38-09b28510abc9 · outbound

This paper cites Improving 3d pose estimation for sign language.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Improving 3d pose estimation for sign language

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:38.663994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:28.332151Z digest=sha256:c5dc7b9c065ca8110d9df5877caa27cf54e1243e30cddb654788d9ef6582926d

Observation 49d7c696-4246-43e0-a666-5da4d5830941 · outbound

This paper cites Skeleton aware multi-modal sign language recognition.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Skeleton aware multi-modal sign language recognition

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:38.499212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:28.440550Z digest=sha256:bc0b7f0a60ccd6cb83d0b53ae4bd9c9d38066eea995ad4c8eab9f38bad16b74c

Observation d4e354ac-12e1-4182-9cb8-7c3417ee9c29 · outbound

This paper cites an unresolved cited work.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:06:38.374443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:28.613973Z digest=sha256:1f08f896385c644c86dd1343f615cfcf6f81be9992cc454c765a8118e68ffe19

Observation ac959344-0942-4001-8d12-f8f4b163c146 · outbound

This paper cites Weakly supervised learning with multi- stream cnn-lstm-hmms to discover sequential parallelism in sign language videos.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Weakly supervised learning with multi- stream cnn-lstm-hmms to discover sequential parallelism in sign language videos

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:38.202071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:28.728358Z digest=sha256:7e0c66ef4e3f95ab816ea872a870c0308f577c481efa936316b8552b208e3409

Observation 591879c1-f79b-4e3d-9760-005e4582d793 · outbound

This paper cites Tspnet: Hier- archical feature learning via temporal semantic pyramid for sign language translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Tspnet: Hier- archical feature learning via temporal semantic pyramid for sign language translation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:38.050137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:28.888252Z digest=sha256:0a89a3c2616516d293398c9cc11745e186140db1fa6a42a926657e051eb693a6

Observation 7087fcec-73a6-4622-8bd9-ebaf071b8915 · outbound

This paper cites Transferring cross-domain knowledge for video sign language recognition.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Transferring cross-domain knowledge for video sign language recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:37.901214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:28.999219Z digest=sha256:917658c6d7eb059ed635f0b09a346eb876c7dc2ebec9c903075d93977d8b2712

Observation ff6f7dcf-0dfc-43d2-a6cf-11e93b55c395 · outbound

This paper cites Uni-Sign: Toward Unified Sign Language Understanding at Scale.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Uni-Sign: Toward Unified Sign Language Understanding at Scale

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:29.105127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:29.105127Z digest=sha256:44eebf242f60b8c54f876e6904f52ff829aebcc35db0c2c77a830ed261ae4034

Observation 68fc3abf-9a1b-4c68-bed6-07a41a7683d1 · outbound

This paper cites One grammar or two? sign languages and the nature of human language.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation One grammar or two? sign languages and the nature of human language

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:37.679599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:29.232598Z digest=sha256:f33e2aaa22f42f6c82c11377f58489a1032ba7c13246d84549f72f4a243afb04

Observation e63ceb60-e852-40a2-93ef-1fd959de3b94 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Rouge: A package for automatic evaluation of summaries

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:37.469504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:29.338965Z digest=sha256:93c2c890b9c7d412aa806d5716cce3e004cdcab59267e1153e7ce0a388e24bc8

Observation e96d69fa-6ee0-44dd-8c54-136d85dd0f8b · outbound

This paper cites Hands-on: Segmenting individual signs from continuous sequences.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Hands-on: Segmenting individual signs from continuous sequences

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:37.241358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:29.452675Z digest=sha256:2d848f9f6cd96fba563b05465cfd2567a099cb79027163119830851ee902f5a1

Observation b48924ac-10da-4e6e-8a17-ee79c93bd1e2 · outbound

This paper cites Soft: Softmax-free transformer with linear complexity.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Soft: Softmax-free transformer with linear complexity

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:36.968139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:29.563676Z digest=sha256:1426db5ec74b5dd928fffebf496721400119af44bc7f92690243fb3e791d7f5d

Observation ffc879a0-4ae3-42d5-9fe2-828be210a7ad · outbound

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

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Visual alignment constraint for continuous sign language recognition

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:36.684596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:29.678598Z digest=sha256:9c7aacde5f6cd7c475df4237c7de47a00a8d1663e313dcb244e80bf723a2420d

Observation 6475a3e1-45f8-4111-b695-c0b53ce0d882 · outbound

This paper cites Stochastic fine-grained labeling of multi-state sign glosses for continuous sign language recog- nition.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Stochastic fine-grained labeling of multi-state sign glosses for continuous sign language recog- nition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:36.455217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:29.819147Z digest=sha256:ada80e439e94ba246e725b97b680235e72b26f669a3b601b88b0222cdd8a8f9a

Observation f2100080-3abe-4328-93d6-36d8bf56bf91 · outbound

This paper cites Bleu: A method for automatic evaluation of machine translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Bleu: A method for automatic evaluation of machine translation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:36.191939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:29.985177Z digest=sha256:26837a3874be587b80f64eb34fbc243d5c1e1cca110bbc53519056abb3104f7f

Observation 7029fba2-0bb8-460c-8a68-ff43cdc5063b · outbound

This paper cites Reconstruct- ing hands in 3d with transformers.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Reconstruct- ing hands in 3d with transformers

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:35.990845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:30.152654Z digest=sha256:3306a1fb798b2f6325498c8fee7ab8080d3be38ea22436ff73a36de4aeab4a66

Observation 8a983df9-1f90-4c74-9de2-cb66e54be4fc · outbound

This paper cites Elements of the language of signs.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Elements of the language of signs

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:35.743941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:30.298644Z digest=sha256:ce23fa23899f9e99ae909f57705061b5aa6ea55ab947966b6dfefdd60496258f

Observation 37e24e89-2100-4162-9219-b6bc87229a0e · outbound

This paper cites Can’t you see the difference? sources of variation in sign language structure.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Can’t you see the difference? sources of variation in sign language structure

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:35.439897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:30.386299Z digest=sha256:16736f24517031f9b9ae5867b03ed456b42eb458d8b821ef0b6067efcd84898a

Observation 0a717c76-21c0-46ce-aea1-f94aeb37ef36 · outbound

This paper cites Iterative align- ment network for continuous sign language recognition.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Iterative align- ment network for continuous sign language recognition

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:35.134788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:30.492299Z digest=sha256:d778669b3b81397530f8e195a855344a641ad1d3a03a877109902bd21b65b244

Observation 591d945a-8c47-4f2e-a413-ce450fb8fcfe · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Learn- ing transferable visual models from natural language super- vision

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:34.809512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:30.571578Z digest=sha256:022c6c5e073868bb618e22ac0c4df95b190ad9ec2d2273468ebb4c1c6aebc498

Observation 3ff4929c-7334-44e5-9215-24206d00d662 · outbound

This paper cites Mul- tilingual translation with extensible multilingual pretraining and finetuning.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Mul- tilingual translation with extensible multilingual pretraining and finetuning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:34.436637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:30.635352Z digest=sha256:b59173657d0fb632be75d277bf5c0bef7dd350a6eb4fe3c0c88c129b03c65be9

Observation c20e9f9c-d26a-49dd-a37f-b7bf6f010629 · outbound

This paper cites YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:30.703690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:30.703690Z digest=sha256:16040768408f0a0fdb840161e0a3b46d1448e90f89a73a4200ea6decaf308726

Observation a7f7714f-88ad-481a-aceb-4c428be72f8c · outbound

This paper cites Sign2gpt: Leveraging large language models for gloss-free sign language translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Sign2gpt: Leveraging large language models for gloss-free sign language translation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:34.192716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:30.806450Z digest=sha256:13cd1b4e7e075c6d1b04771fe46b3f433013d58606c629dc2e333c97c88562bd

Observation 7c2e61aa-b7ab-4ec8-b67d-91bbcfba9132 · outbound

This paper cites Learnt contrastive concept embeddings for sign recognition.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Learnt contrastive concept embeddings for sign recognition

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:33.933578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:30.893258Z digest=sha256:67995f2ad04615e3699ffcdb32e564c742b4d36a7bb5e0fb0ce34c9700d169a7

Observation b7e6ef8a-8717-4c3d-98f0-22ecfb6a0b31 · outbound

This paper cites Improving gloss-free sign language translation by reducing representation density.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Improving gloss-free sign language translation by reducing representation density

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:33.594883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:30.969754Z digest=sha256:d41c80679d4708b8004732d4ce5838224b2a91843d4e95fb28c8f9562815f6ee

Observation a0dcc381-e637-47a3-bf21-c5d12da2d7e6 · outbound

This paper cites Gloss attention for gloss-free sign language translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Gloss attention for gloss-free sign language translation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:33.205081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:31.051244Z digest=sha256:661aff12f675e5591be3a955a84bcdc5c9ef1ec87b9d4fcca8da9cfa1143e55d

Observation e541d838-a243-4298-b980-9711a458f09c · outbound

This paper cites Better sign language translation with STMC-transformer.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Better sign language translation with STMC-transformer

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:33.002397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:31.125591Z digest=sha256:99d45ee4b012abcd20c3e6dc88cd9bfd082a21703d4110123f3250288d227be5

Observation 3c08e5fe-d589-4c96-b871-437c160d1b87 · outbound

This paper cites SLTUNET: A Simple Unified Model for Sign Language Translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation SLTUNET: A Simple Unified Model for Sign Language Translation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:31.191509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:31.191509Z digest=sha256:83cbae8d5185886a92404d9463ef68c5de19640e1979b0a50a2c5d7573cb8936

Observation aff64f15-ef05-4971-bea7-a334590671be · outbound

This paper cites Conditional sentence generation and cross-modal reranking for sign language translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Conditional sentence generation and cross-modal reranking for sign language translation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:32.833509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:31.258720Z digest=sha256:355369f5102f38ea3335ec90e1143a00bb2dc10f8c16f2655cebfcb44848f38b

Observation 0a87cbef-08fd-4a22-9992-bf2550cc5f92 · outbound

This paper cites Conditional variational autoencoder for sign language translation with cross-modal alignment.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Conditional variational autoencoder for sign language translation with cross-modal alignment

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:32.645862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:31.326206Z digest=sha256:87cc48b0a79fbd74880754d38864db9a5f3af2ec496bf89fbb88ee655008c69e

Observation 509f82ae-2d9b-496e-85d2-d5900e8dc677 · outbound

This paper cites Gloss-free sign language translation: Improving from visual- language pretraining.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Gloss-free sign language translation: Improving from visual- language pretraining

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:32.466323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:31.422422Z digest=sha256:01c65398d5b1dedf6de2ac5b3dd99e6a06134be2b6a6d33a2647a4336a005ffb

Observation e7ae4f58-1875-4833-86d7-a406b4be35fe · outbound

This paper cites Improving sign language translation with monolingual data by sign back-translation.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Improving sign language translation with monolingual data by sign back-translation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:32.337720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:31.508449Z digest=sha256:d18070dd4a8bf1be65d09fd0ce72b7459cea42335058b822b6dacb8292e7b3ec

Observation 3b4dcf93-ad54-41cb-9428-ace6c8b5978f · outbound

This paper cites C2slr: Consistency-enhanced continuous sign language recognition.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation C2slr: Consistency-enhanced continuous sign language recognition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:32.207700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:31.571233Z digest=sha256:24cef500abd486184c88a8456d6329226cd1b01484c434192a6d987a292fe800

Observation de4e8df4-3f12-4ee5-9de6-2674d21d4945 · outbound

This paper cites Natural language-assisted sign language recognition.

SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation Natural language-assisted sign language recognition

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:32.046903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:06:31.671501Z digest=sha256:fe2b99fd68dfd9e17d12368f9614f461f583ace79eae76c9f9e5ada80fa4745a

Pith citing papers

Observation 1cc60b6b-01c6-47e4-be75-f18b08a19bfe · inbound

Sign Spotting Disambiguation using Large Language Models cites this paper.

Sign Spotting Disambiguation using Large Language Models SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:12:05.497377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:12:03.637101Z digest=sha256:57dedbe59f458c430d389274d7c00489f2168f037679f903b009e95411379f9d