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Paper Citation Record · LEDGER

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.07646.

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

pith.paper-citation-record.v1
2506.07646 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:53.920089Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:50.951862Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:33:54.309530Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy18
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 253b81c9-f476-4391-b006-ed4cf90f5099 · outbound

This paper cites an unresolved cited work.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:33:55.935572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:50.665721Z digest=sha256:ebf6c39069374c694ddef21f288e11c4ef14ef2db65982e88e828e7d2633b6f2

Observation 00e469c6-d85e-457b-8842-2a142c8aa630 · outbound

This paper cites Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:33:54.429992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:50.951862Z digest=sha256:62d089e8a2beb15a0af2c5bad1ac3003b8bdc6074199f716483a7a94611f4c7c

Observation 91318715-bb77-4e99-b88e-79028646b3a3 · outbound

This paper cites #”. For each accent phrase, we divide it into graphemes and TTS labels using the delimiter “|.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation #”. For each accent phrase, we divide it into graphemes and TTS labels using the delimiter “|

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.904062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:51.079231Z digest=sha256:50635fc38eeff225962a1fd8abe8e2524d5ae5b8fcdd679e1ab57ffd39b455b9

Observation 63f3318d-2eeb-4add-bb3c-dd0d4fbbe38b · outbound

This paper cites ブィ ” and “ビ.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation ブィ ” and “ビ

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.888413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:51.150189Z digest=sha256:3dda279a7b455bc471407d4cc6080086fe8a1b3fb825339ad8c8b2c3058ddbf7

Observation 87001ae8-3a89-4560-8df0-9357527be1b2 · outbound

This paper cites To address the phonemic labeling issue associated with Kanji characters, we adopt a decoding strategy that incorporates dic- tionary prior knowledge.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation To address the phonemic labeling issue associated with Kanji characters, we adopt a decoding strategy that incorporates dic- tionary prior knowledge

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.873672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:51.305047Z digest=sha256:3d34b959f9a61c9451bfe8337080551e45806f7c0307aa142f60d42c5aa8e1ce

Observation 53b808c4-7044-48ae-b726-aa238163ed11 · outbound

This paper cites A unified front-end framework for english text-to-speech syn- thesis,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation A unified front-end framework for english text-to-speech syn- thesis,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.826823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:52.012099Z digest=sha256:43c3f5905e53cd2720de631496a0a9ea8635d24a81eab468aa22e04a31183c42

Observation 76430cf7-6798-4e45-8f26-f2dd8121b684 · outbound

This paper cites E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:51.376309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:51.376309Z digest=sha256:96f8b17b2149aa6e7cf19bd7304e953faf960619a939aa91ea9ef0df5bf07794

Observation 18ec3f15-32de-44f4-b89d-3f97b8fafb02 · outbound

This paper cites CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:51.501351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:51.501351Z digest=sha256:212ec9341d527b5b092dcbfed256530653d9850864cbe31f701c2d84647a4ab5

Observation 47f8a2ca-2413-402c-a719-cf2fe2236001 · outbound

This paper cites Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:51.609621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:51.609621Z digest=sha256:f1cb46a3edfbf6c0684372229acdcac71746ec35019c8ffb2886cf048a6ba280

Observation 43a7426a-5dad-4650-b1bc-20c9987a7f33 · outbound

This paper cites Impacts of input linguistic feature representation on japanese end-to-end speech synthesis,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Impacts of input linguistic feature representation on japanese end-to-end speech synthesis,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.858321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:51.773644Z digest=sha256:39d503d3be29ef460a42f669842b6d0d97aee3dcddeb91e07f2abe3656948601

Observation 438178da-5627-4800-a118-739148fca03a · outbound

This paper cites However, these methods either only focus on prosody annotation or rely on complicated pipelines.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation However, these methods either only focus on prosody annotation or rely on complicated pipelines

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.920447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:50.787955Z digest=sha256:b11e299e81eb53daca68ddfab7260616a9b77be06dc82d148e678e49ad0bdf2c

Observation 8996299f-79b6-4f74-9010-1b9ae9acf37d · outbound

This paper cites Prosodic features con- trol by symbols as input of sequence-to-sequence acoustic mod- eling for neural tts,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Prosodic features con- trol by symbols as input of sequence-to-sequence acoustic mod- eling for neural tts,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.842192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:51.860333Z digest=sha256:4b0a598960272f3f058b8693c558bf6d3520658ab0dc84fc334b18eaef0ec073

Observation c45148ba-cc31-46e1-856a-3b8fe0aaa918 · outbound

This paper cites Unified Mandarin TTS Front-end Based on Distilled BERT Model.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Unified Mandarin TTS Front-end Based on Distilled BERT Model

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:33:54.148718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:52.158651Z digest=sha256:10a88bbdee5052ce690c5470933a4a8bf00bc35735382cb8b256eb995fb662d1

Observation 2c70ab7f-6038-41df-857c-cc1e8240032b · outbound

This paper cites A unified accent esti- mation method based on multi-task learning for japanese text-to- speech,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation A unified accent esti- mation method based on multi-task learning for japanese text-to- speech,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.810439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:52.271932Z digest=sha256:242fab75de1bc67204c2d1299096c444d599694cf4d62de01a36af793b42eeb3

Observation 6ad4b55a-7782-415b-a446-d0522e5e5863 · outbound

This paper cites End-to-end asr to jointly predict transcriptions and linguistic annotations,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation End-to-end asr to jointly predict transcriptions and linguistic annotations,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.789595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:52.423236Z digest=sha256:8cf5aa567c775deecda8e8b7b18c32deb5a7eb37bffbb3ceea4f7643ba33423b

Observation f8e3027f-d9ef-43ec-8bcd-d5f057c689de · outbound

This paper cites Audio- conditioned phonemic and prosodic annotation for building text- to-speech models from unlabeled speech data,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Audio- conditioned phonemic and prosodic annotation for building text- to-speech models from unlabeled speech data,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.773913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:52.580553Z digest=sha256:1933e535d10af842c999d2918d639e1456ddac4312e902ce7ca4d480983ca18b

Observation bdc8a950-e117-4484-9467-848140de031a · outbound

This paper cites Automatic prosody annotation with pre-trained text- speech model,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Automatic prosody annotation with pre-trained text- speech model,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.757896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:52.644857Z digest=sha256:6d3e1f2954fb24e849bb68af91e9c328c5fdd159677f8179f85faf90144c4bb1

Observation baab77ce-9c1e-4174-ab31-64838d04a974 · outbound

This paper cites G2pa: G2p with aligned audio for mandarin chinese,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation G2pa: G2p with aligned audio for mandarin chinese,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.742904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:52.791420Z digest=sha256:9c8c6b0178a65c46b9d0e57a07b6fa43459a9125433b4cfc5deab489e7f2954b

Observation 477f577b-d313-459d-96ab-a70ded181cc7 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Robust speech recognition via large-scale weak supervision,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:52.884523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:52.884523Z digest=sha256:f5d30b0de987a0196ed88ad0d1d2cc882204445372ae0bdf1bad1ed130a13919

Observation 0b7841fa-cec0-4104-b24d-fb822222db2a · outbound

This paper cites Attention is all you need,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Attention is all you need,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:53.032764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:53.032764Z digest=sha256:3fa90e96fab221c9a23db8633ea53490a4b3db90f6867c7fb10b0fd4ed23fe34

Observation dd6e10cc-7013-4121-9300-c5939c1ff6bb · outbound

This paper cites Zero-shot domain-sensitive speech recognition with prompt- conditioning fine-tuning,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Zero-shot domain-sensitive speech recognition with prompt- conditioning fine-tuning,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:53.186970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:53.186970Z digest=sha256:5b1ba5a9ebf250dd2109f5d398f60370f6d37480dfcc97400091c06246a6bdea

Observation 40855888-ffb2-4ddb-a055-da5ee2067c56 · outbound

This paper cites Prompt tuning for speech recognition on unknown spoken name entities,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Prompt tuning for speech recognition on unknown spoken name entities,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.682039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:53.263260Z digest=sha256:a2c29940e7bfb1d6bc08b68eb4fd6d94187dbea4728f7f386201a06cee8985f7

Observation ae99b0b4-7761-4ff9-aea2-0db55d4b7418 · outbound

This paper cites Extending whisper with prompt tuning to target-speaker asr,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Extending whisper with prompt tuning to target-speaker asr,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.526591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:53.339967Z digest=sha256:97edfa3e53d4b861303db2ea5d99fccc31ca8c82f065a237460263d4aa83d8e9

Observation c330a1a8-3056-4d41-9b4c-cca0e7c68aa3 · outbound

This paper cites Perceiver-prompt: Flexible speaker adaptation in whisper for chinese disordered speech recognition,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Perceiver-prompt: Flexible speaker adaptation in whisper for chinese disordered speech recognition,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.281778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:53.388327Z digest=sha256:2cbd733d6f118a9d142c9ba137bf9de1811d2189b94a94ab26f8378398a5456c

Observation 712e21e5-a28a-429e-bfd1-d6ab197e3da3 · outbound

This paper cites Applying conditional random fields to japanese morphological analysis,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Applying conditional random fields to japanese morphological analysis,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:55.025620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:53.454542Z digest=sha256:07311f8f8277cfa12a558aeb5b454953e7193acc55ffb651f5a8d63669a5b90c

Observation d758b06d-870d-4a4e-bd7e-c93fb762fde8 · outbound

This paper cites A proper approach to japanese morphological analysis: Dictionary, model, and eval- uation.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation A proper approach to japanese morphological analysis: Dictionary, model, and eval- uation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:54.789301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:53.563402Z digest=sha256:f31c363fc22a19ad2dab0c10129e2e913a3feeb23e9bdf6d8e391c6f627de28f

Observation b87c52ac-3c7c-42f0-b555-bede0aadabf0 · outbound

This paper cites JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:53.645210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:53.645210Z digest=sha256:e264d50072098fd1c09d4a4ed04f9e10196a0c93fcbca3d157b9a340b1aacf7f

Observation f22a6537-8921-4163-b814-8d3cd93b2ad9 · outbound

This paper cites GPT-4 Technical Report.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation GPT-4 Technical Report

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:53.733085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:53.733085Z digest=sha256:a803987f0489b356f793e42ed6b8c8bb64ebf55354406b83bd4535a26f3c6cf3

Observation 66ba85f3-dd33-48a6-a3a2-306299ae381d · outbound

This paper cites JVS corpus: free Japanese multi-speaker voice corpus.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation JVS corpus: free Japanese multi-speaker voice corpus

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:53.799236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:53.799236Z digest=sha256:5a1de4c40b31ac33c558a055578729a5d0c051208a5bfa82a3b901fa9db6d371

Observation f6e6ce3c-1240-4e25-b3ea-bdf2c7fbe2dd · outbound

This paper cites Transformers: State-of-the-art natural language processing,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Transformers: State-of-the-art natural language processing,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:33:54.580616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:53.849183Z digest=sha256:db020d42501d823d421c194160c655553efcf177a32816426d6fba3d3f3da105

Observation 96ed9fe9-0f09-466c-bbc4-47643c0ea502 · outbound

This paper cites Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:53.920089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:53.920089Z digest=sha256:1d0f3bcf12215b4389a41b6ff350a8a2fd144adc2a51d8ce002efc0e5a03c523

Pith citing papers

Observation 00e469c6-d85e-457b-8842-2a142c8aa630 · inbound

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation cites this paper.

Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:33:54.429992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:33:50.951862Z digest=sha256:62d089e8a2beb15a0af2c5bad1ac3003b8bdc6074199f716483a7a94611f4c7c