Pith. sign in

Paper Citation Record · LEDGER

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2507.10972.

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

pith.paper-citation-record.v1
2507.10972 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:25:35.383834Z

measured 36 of 36 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:25:32.030986Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:25:36.037862Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact3
  • verified fuzzy21
  • unresolved9
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 104c3b54-359b-4750-ae09-18f11bf6962e · outbound

This paper cites Teach Me Sign: Stepwise Prompting LLM for Sign Language Production.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Teach Me Sign: Stepwise Prompting LLM for Sign Language Production

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:25:36.081680Z

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.

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Observation 2d03f5d8-8751-489b-af24-b321192f26c3 · outbound

This paper cites Two-stage approaches mainly rely on additional anno- tated information, such as gloss, to provide extra supervision during the generation phase.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Two-stage approaches mainly rely on additional anno- tated information, such as gloss, to provide extra supervision during the generation phase

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:39.863004Z

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.

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Observation 137ae01e-08ea-4777-a1a5-72da6f2f8d0d · outbound

This paper cites language.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production language

Reference 3

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malformed identifier
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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=2026-08-06T17:25:32.277647Z digest=sha256:8a7e35ebacdb3815145f9a319b921fca7b73d21d5641aa6c4f14161b860b4a03

Observation f1db8599-5c9e-4bfa-abe3-c12b5744feb3 · outbound

This paper cites an unresolved cited work.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Unresolved cited work

Reference 4

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malformed identifier
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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=2026-08-06T17:25:32.411207Z digest=sha256:a49d8392b7fe7b7c0b64ede7bcd70681d46b64d86df4f1d86bc327ef2877fbee

Observation 2982a01a-a1d0-44e4-bf8a-21a473ba10fe · outbound

This paper cites Experimental results on the Phoenix14T and How2Sign datasets verify the superior- ity of our TEAM-Sign method.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Experimental results on the Phoenix14T and How2Sign datasets verify the superior- ity of our TEAM-Sign method

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:39.241666Z

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=2026-08-06T17:25:32.508899Z digest=sha256:cb8f56cccac5d74a7564e87a7aff71334555fda0c2b4f293fb1b54b90ef4aef4

Observation cdfbfc50-1adf-4809-a46c-a30209b9c7ed · outbound

This paper cites A review of deep learning-based approaches to sign language processing,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production A review of deep learning-based approaches to sign language processing,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:39.013902Z

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=2026-08-06T17:25:32.646985Z digest=sha256:bda2a80fa4d90bd33771d0efefcdd0bcd2cdcdc0cb5b3e5cf33493b9b16b4545

Observation 42c352db-dbb3-48ec-b39a-1fe46e2432d1 · outbound

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

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Gloss-free sign language translation: Improving from visual-language pretraining,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:38.803631Z

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.

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Observation 58486e95-4e06-44f7-9576-800fcc01d348 · outbound

This paper cites Progressive transformers for end-to-end sign language pro- duction,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Progressive transformers for end-to-end sign language pro- duction,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:38.615319Z

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=2026-08-06T17:25:32.863665Z digest=sha256:bc1547d2e9fbf5368dcf6e40b9655fac1975f0177af9ae899c33e0ecc01d4260

Observation cff6bfd5-f699-4540-bc2b-e27b66be2019 · outbound

This paper cites Dualsign: Semi-supervised sign language production with balanced multi-modal multi-task dual transformation,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Dualsign: Semi-supervised sign language production with balanced multi-modal multi-task dual transformation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:38.410285Z

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.

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Observation 86290a6f-fe67-4cd7-91bd-33adbde0e5f0 · outbound

This paper cites Autoregressive Sign Language Production: A Gloss-Free Approach with Discrete Representations.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Autoregressive Sign Language Production: A Gloss-Free Approach with Discrete Representations

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:25:35.931522Z

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=2026-08-06T17:25:33.017329Z digest=sha256:e98222a76a6b8256eaa58be13cb105cfe1c78e9c6216a99777924f8bc3baffeb

Observation 4fd2013d-4cb2-424e-8926-122c32a1fffd · outbound

This paper cites Neural sign actors: A diffusion model for 3d sign language production from text,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Neural sign actors: A diffusion model for 3d sign language production from text,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:38.189701Z

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=2026-08-06T17:25:33.091435Z digest=sha256:92214da6d900878115f162b41342426cc1ce6fb6a8128569dea81d3e2d018ae0

Observation 97b93252-bd36-4226-b94f-7eb82442635b · outbound

This paper cites T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:33.224812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:33.224812Z digest=sha256:11fd339e216120928f3b587a4e6bb96f12aaa86030f0d1ccab86c9424723c2e7

Observation 42cf2811-d795-4cc5-96b8-f5f58b9ddc6d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production LLaMA: Open and Efficient Foundation Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:33.322279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 907bc2dd-629e-4c70-9cc0-a09f7117cfa8 · outbound

This paper cites Lan- guage models are few-shot learners,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Lan- guage models are few-shot learners,

Reference 14

Resolution
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raw_fallback, observed 2026-08-06T17:25:38.021945Z

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.

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Observation d33059da-1b00-4248-8a6b-5c014435d3af · outbound

This paper cites Visual instruction tuning,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Visual instruction tuning,

Reference 15

Resolution
verified fuzzy
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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.

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Observation b6e5e024-c527-4c50-9044-063d7f2cbe8e · outbound

This paper cites Bliva: A simple multimodal llm for better han- dling of text-rich visual questions,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Bliva: A simple multimodal llm for better han- dling of text-rich visual questions,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:37.677393Z

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.

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Observation 67f0e55f-3860-44c5-a587-c8d7076503e7 · outbound

This paper cites Sinc: Spatial composition of 3d human motions for simultaneous action generation,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Sinc: Spatial composition of 3d human motions for simultaneous action generation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:37.514281Z

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.

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Observation 7d7bbb30-5739-49d5-82a4-15bbc45b3b0e · outbound

This paper cites Free-bloom: Zero-shot text-to-video gener- ator with llm director and ldm animator,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Free-bloom: Zero-shot text-to-video gener- ator with llm director and ldm animator,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:37.341414Z

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.

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Observation 49212dba-c5e4-4058-94ef-b8275fa13e75 · outbound

This paper cites Motiongpt: Finetuned llms are general-purpose motion gen- erators,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Motiongpt: Finetuned llms are general-purpose motion gen- erators,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:37.199086Z

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.

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Observation a2375157-b9a5-411a-b828-331192fef28c · outbound

This paper cites LLM-grounded video diffusion models,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production LLM-grounded video diffusion models,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:37.074353Z

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.

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Observation 54beb4b6-eab4-4c6a-a62f-4932d1ec6ffa · outbound

This paper cites Vision language models are blind: Failing to translate detailed visual features into words.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Vision language models are blind: Failing to translate detailed visual features into words

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:34.429111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f60179d1-89c1-41db-ad72-d3deb5480449 · outbound

This paper cites Neural discrete representation learning,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Neural discrete representation learning,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:36.951085Z

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.

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Observation 56711bf7-6c86-4f36-94ae-248c7a220466 · outbound

This paper cites Sign lan- guage avatars: Animation and comprehensibility,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Sign lan- guage avatars: Animation and comprehensibility,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:36.849902Z

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.

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Observation 19b20544-2a25-4c22-b312-3177f0dcda81 · outbound

This paper cites An automated technique for real-time production of lifelike ani- mations of american sign language,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production An automated technique for real-time production of lifelike ani- mations of american sign language,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:36.722080Z

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.

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Observation 3f313ca1-c5dd-4471-aea5-c94a3b01a81f · outbound

This paper cites Ham2pose: Animating sign language notation into pose se- quences,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Ham2pose: Animating sign language notation into pose se- quences,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:36.564937Z

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=2026-08-06T17:25:34.721421Z digest=sha256:2caba55742995dd4b4d84e7fc79479ca19a7ff292ec42fa65b428741e3e25ac2

Observation 13f0758f-29ab-42a4-8bd5-16ffb507a75e · outbound

This paper cites Changing the Representation: Examining Language Representation for Neural Sign Language Production.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Changing the Representation: Examining Language Representation for Neural Sign Language Production

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:25:35.732535Z

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=2026-08-06T17:25:34.755645Z digest=sha256:bfa6f46e864872521ac58010b17ab042edea58ccbbe3604bf1a79211faa9a775

Observation b7d37816-f98f-4c64-be80-9f0de7c23aa5 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:34.835868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:34.835868Z digest=sha256:7d000d617a0291bd0f3778721e5da627142e1961101fcdcad24f4f99b94793e9

Observation d1f6b32a-b1b4-4c65-aa94-bc4bbc02fec8 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:34.898954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:34.898954Z digest=sha256:999a756ba265ddfd59c51efd126909e5e5ef2d138c2389d14b1503460903c948

Observation f86aa9e3-d698-4a84-941a-20698d040ea4 · outbound

This paper cites Motiongpt: Human motion as a foreign language,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Motiongpt: Human motion as a foreign language,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:36.463657Z

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=2026-08-06T17:25:34.956241Z digest=sha256:ae9342a88bcca967fd1799edbf6ab58c299e43d7c1a8eb2bcf3f1b780d4f8ee7

Observation 248694a6-9996-4097-8f79-e303bb54284a · outbound

This paper cites GPT-4o System Card.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production GPT-4o System Card

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:35.043147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:35.043147Z digest=sha256:84c384b0f516b9fcc5e6e0e7193b20c28f433685a7f5b9b8effcbc5b7d2b28c1

Observation 9801c55a-7902-4e6a-9f86-762587d6303a · outbound

This paper cites The Llama 3 Herd of Models.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production The Llama 3 Herd of Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:35.120892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:35.120892Z digest=sha256:cbb245d6fb78e8388b3b2b6546c4d7b51f38de1bb48ff609edbf714db25a40fc

Observation 14f48294-12ec-421c-adec-c46a70873c82 · outbound

This paper cites Qwen2 Technical Report.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Qwen2 Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:35.183600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:35.183600Z digest=sha256:c2f6dba6b7e2dc7243b543bae4c315c2c9641cab29ca3f5193be84994d8b8d2f

Observation adb5158a-11a7-4eb0-93ef-d562096020fd · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production LoRA: Low-Rank Adaptation of Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T17:25:35.253634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:35.253634Z digest=sha256:9e042630e5a9a0a99a53b0ac57a29b45eea24ebd94dcec4d2ebfba191b5ed154

Observation 105eb064-2137-410e-aedf-c78bcc4900f4 · outbound

This paper cites Neural sign language trans- lation,.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Neural sign language trans- lation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:36.375506Z

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=2026-08-06T17:25:35.315745Z digest=sha256:5fb519d507c602668bdc124a124e1ef622d7f00f75a23084f3a06f61f221848b

Observation 9dc2dd7c-b28e-4ea5-a06f-e980f66f0a54 · outbound

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

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production How2sign: a large-scale multimodal dataset for continuous american sign language,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:25:36.223423Z

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=2026-08-06T17:25:35.383834Z digest=sha256:ea8a3f50db9a8f97cd8dec3264b319b67e1a9f5cc6219b1849641c840eef6c99

Pith citing papers

Observation 104c3b54-359b-4750-ae09-18f11bf6962e · inbound

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production cites this paper.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Teach Me Sign: Stepwise Prompting LLM for Sign Language Production

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:25:36.081680Z

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=2026-08-06T17:25:32.030986Z digest=sha256:01d9773d190c381ac382090785b9729fda459600159e330b8b193a64ba87fd97