Pith. sign in

Paper Citation Record · LEDGER

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2411.12980.

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

pith.paper-citation-record.v1
2411.12980 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:04:12.534638Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:53:09.960199Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T21:53:10.262664Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86041218-8aff-4b6b-84bc-689843ff16d2 · outbound

This paper cites Meteor: An auto- matic metric for mt evaluation with improved correla- tion with human judgments.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Meteor: An auto- matic metric for mt evaluation with improved correla- tion with human judgments

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:13.000461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.403437Z digest=sha256:c1082e62f0558713f0c44086bfaf7bd4b0795d43717208fc2230850b5a9708a1

Observation f011736c-f8a9-4ef8-a26c-fe26925ceb21 · outbound

This paper cites Is space-time attention all you need for video under- standing? In Proceedings of the International Confer- ence on Machine Learning (ICML) , 2021.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Is space-time attention all you need for video under- standing? In Proceedings of the International Confer- ence on Machine Learning (ICML) , 2021

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.986694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.408133Z digest=sha256:4cbc34e9747b5dd37d10ef5538bd8a5734cec19b3ab2aaa588ecd5687620657f

Observation f84fc7a9-acd8-41d7-8f0b-201a3dc32b79 · outbound

This paper cites Driving with llms: Fusing object-level vector modality for explainable au- tonomous driving.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Driving with llms: Fusing object-level vector modality for explainable au- tonomous driving

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.972759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.413197Z digest=sha256:54f22ef66d2ed52942ca9be0dc289becdc346eb8bb0d3e1a67dd86e38ff6ff69

Observation 6aafe554-1c1a-4b4f-abac-76eda3a1acb6 · outbound

This paper cites an unresolved cited work.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:04:12.959236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.418422Z digest=sha256:196cb27e89108f4892efd036e9a7006c3c1848ca2f806c46e4555dd15534c793

Observation d8aea3a9-ae68-4007-bee3-80b756e9160e · outbound

This paper cites an unresolved cited work.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:04:12.943907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.423188Z digest=sha256:55d65f4f5cc759ba95d5067e962fa07bf65c8ef3d892aad4f8134a39767a9da5

Observation 538aa569-23ce-4222-b5e1-06dda7eca6ca · outbound

This paper cites Multi-frame, lightweight & efficient vision- language models for question answering in autonomous driving, 2024.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Multi-frame, lightweight & efficient vision- language models for question answering in autonomous driving, 2024

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.929941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.427829Z digest=sha256:f3d62ee0140ac0e371ba2854860dfab3f5648e36a67da016151feca02a1ade25

Observation a4625a06-954b-4d22-b348-91195ef325f5 · outbound

This paper cites Lan- guage is not all you need: Aligning perception with language models.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Lan- guage is not all you need: Aligning perception with language models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.916476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.433051Z digest=sha256:3b0132d75c076f758a905be0612bc3556931eb17a5993ff9fc69fa7d5354c257

Observation ba3795a1-fcc4-443f-8bc1-29b4958c04c7 · outbound

This paper cites an unresolved cited work.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:04:12.903365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.437309Z digest=sha256:0cce569fd1673c6508c28bb97b5adc66f3626bfb6d29b02c33d39c1eeba79799

Observation 6d7d7217-284e-4943-b22a-6c26ee1f3184 · outbound

This paper cites Vlm2scene: Self-supervised image-text-lidar learning with foundation models for autonomous driving scene understanding.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Vlm2scene: Self-supervised image-text-lidar learning with foundation models for autonomous driving scene understanding

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.890378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.441331Z digest=sha256:00b910602104dfc66038a90e983f411b219ccb0e0cce609f3b4b8a0389ae8c9d

Observation bad55b0c-c5c0-42a3-aaf7-2de3c733c1a4 · outbound

This paper cites Rouge: A package for automatic eval- uation of summaries.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Rouge: A package for automatic eval- uation of summaries

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.876859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.446091Z digest=sha256:1c65bc8fb862be2f939c6f4e0d3d01274cd93983eeb00681e9955dda4f56e693

Observation b553a8a7-9463-4a09-90ec-85fa53af4f8d · outbound

This paper cites Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.862162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.450285Z digest=sha256:9568859e5d00ce623a299dde0b41096ee5d2887b47fb4c8686ca18469a75ea48

Observation c1ef6a27-0967-4f2a-9925-6cf2dd410e98 · outbound

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

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Bleu: a method for automatic evaluation of machine translation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.849459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.454302Z digest=sha256:d8d3cb3e6cd51228ea78532e6dcebdfa2db9e28cfca9a9c8c8c80f8aca5bf341

Observation ecb3508d-e648-4b9c-8038-f9a54b2c54bc · outbound

This paper cites Nuscenes-qa: A multi-modal vi- sual question answering benchmark for autonomous driving scenario.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Nuscenes-qa: A multi-modal vi- sual question answering benchmark for autonomous driving scenario

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.835795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.458461Z digest=sha256:eb15d5f5afed2942780dc4c181a3d534ca3fa10f5a890df59e7c9ef54ea192c3

Observation f224662a-2fc6-4579-8a4b-aafadeff4360 · outbound

This paper cites Nuscenes-qa: A multi-modal vi- sual question answering benchmark for autonomous driving scenario, 2024.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Nuscenes-qa: A multi-modal vi- sual question answering benchmark for autonomous driving scenario, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.820295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.462299Z digest=sha256:fbd6e504d5dde8f80cbb3fd95e5a4ee75f48b7817fbf343c1f04d8ed06a75ff1

Observation 61fe9706-91d6-4d97-b1d3-bd4be4186a4e · outbound

This paper cites Learning trans- ferable visual models from natural language supervi- sion.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Learning trans- ferable visual models from natural language supervi- sion

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.806538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.466285Z digest=sha256:ab877917c7dd0452876255db1a787bdcd61a643d7b3adbe9e743b782a8be6e41

Observation 6c8d36c6-10d2-4da4-a0f2-dc81b6105dc9 · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Learning transferable visual models from natural lan- guage supervision

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.792941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.470510Z digest=sha256:ead2036725f35adeadc3a0c02e00a672c0c5698366819e20688d4c98120eeef8

Observation 01bb169f-3f79-4e84-95bf-473735016ed3 · outbound

This paper cites an unresolved cited work.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:04:12.778559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.474717Z digest=sha256:4570a2e9e184804234969f894453ab86158502403f5398b1d2ca1fb4db00e3fe

Observation 2dfbf586-d531-4699-bb65-c4f8b611ec18 · outbound

This paper cites LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T17:04:12.479080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:04:12.479080Z digest=sha256:42273a33c68e046c70c0a24605492720ba014f600e10c82040d3c6f68d9f6100

Observation 84653957-d64b-4755-a4ba-b2c4cc630430 · outbound

This paper cites DriveLM: Driving with Graph Visual Question Answering.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement DriveLM: Driving with Graph Visual Question Answering

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T17:04:12.484511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:04:12.484511Z digest=sha256:2aeeaaceead51c458edff9289727b8f1b9fdde86c89cfe8451ae1b11827fb654

Observation 5b51f4e3-4620-47fb-8dae-1566368f4a0c · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T17:04:12.489019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:04:12.489019Z digest=sha256:1c19b0df9c164cc387b9f15553e7f91d405a4516333a4f8d0b80cfb6e5a22131

Observation 35c8512b-0fc0-4eab-bb37-bd93adca5750 · outbound

This paper cites Cider: Consensus-based image descrip- tion evaluation.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Cider: Consensus-based image descrip- tion evaluation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.765032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.493514Z digest=sha256:8bcad061a761ac5ccb2db8660ab45fff58c25392020b055ff60bb748bf3d6a8b

Observation f69c3665-b71d-42e9-a2c5-7c6f890bdb49 · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.751668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.497165Z digest=sha256:b34094acc5f375a75ee1d48e5b6ada8f347fe6c1c02d2324baa3aa4b7619a107

Observation 15cdc746-7f21-4404-b411-0f9b966323bc · outbound

This paper cites an unresolved cited work.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:04:12.738054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.500769Z digest=sha256:0e67305b00212e6e5830ea6f08d293b7117d0d5b2d46a0f4ab1c9da39a812fbb

Observation c36ce008-a22d-42ed-92d7-eeac749c2f44 · outbound

This paper cites On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T17:04:12.504683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:04:12.504683Z digest=sha256:1e9f5699c77e08a0012313ad8fe8cfeb93864182e5f3d9e78fe49ff7bf8aaf92

Observation 886f1fca-9726-41e7-ba3f-309ae6077c0f · outbound

This paper cites Drivegpt4: Interpretable end-to-end au- tonomous driving via large language model.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Drivegpt4: Interpretable end-to-end au- tonomous driving via large language model

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.724266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.508759Z digest=sha256:9159e5fbb9b1c981dfd6933803a38f62cbd478d96db95f2950e43a392844b600

Observation ec8d9c15-47d0-4e7d-a638-83c0f32f72fd · outbound

This paper cites Generalized predictive model for autonomous driving.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Generalized predictive model for autonomous driving

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.708896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.512334Z digest=sha256:dccbae78cd735bd776086d78a689671ebc435111831406abb8f34bec7e95091f

Observation c18a6a17-0799-481b-a108-076ff5cd00e6 · outbound

This paper cites an unresolved cited work.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:04:12.691591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.516332Z digest=sha256:db34158f031b67f359f06dd3298b183fc065f9aa024d045bef16420235da987c

Observation 89310149-e210-4e64-9f4a-f30d081609b5 · outbound

This paper cites an unresolved cited work.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:04:12.675307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.521039Z digest=sha256:26235ae65f7177f3df503d07cac6714fe4ad56a7801ac40d1161ab4ae55690d0

Observation 0f57dc8e-2d87-49ac-805a-5f9b85c6f755 · outbound

This paper cites Zhang, L.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Zhang, L

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.659776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.526011Z digest=sha256:43aa9dea8ccceaabe98cc13d78fcb0bafc92aacbbdb862c5f814856f46f491c2

Observation 6517acc2-d355-421e-87a7-9ab5d979b4c1 · outbound

This paper cites Vinvl: Revisiting visual representa- tions in vision-language models.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Vinvl: Revisiting visual representa- tions in vision-language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:04:12.643933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.530750Z digest=sha256:3e45b8a0b34cdaae53e9e5cb3304eb64ae3778db3d40a69578d6a150b40e16c2

Observation 3794ec17-d05f-4a00-9956-3b7668594d7e · outbound

This paper cites an unresolved cited work.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:04:12.626385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T17:04:12.534638Z digest=sha256:be6e625f4250ae3af804ec02785d6ab4fecbcde42bc303d382f2adc368573c57

Pith citing papers

Observation 70d8969c-ee11-425b-a5c5-65bb897228a4 · inbound

Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving cites this paper.

Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:53:10.269257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:53:09.960199Z digest=sha256:97d7dec22769b50cff2a556497096c109a55ccb0f6a642b93c99071b2f33bc59