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Paper Citation Record · LEDGER

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection

As of 12 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2501.03940.

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

pith.paper-citation-record.v1
2501.03940 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:48:40.580596Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:52:41.504404Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved16
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe270174-0d62-4645-b80b-a5d916c7bed7 · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Release Strategies and the Social Impacts of Language Models

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:48:40.414643Z digest=sha256:621be8cbc8eb652a6841a15ab85e28c2a9d038634c09bf9d46f62f9f768568c0

Observation 5ccf59f9-ee59-404c-ba8e-0f4b1f301ae0 · outbound

This paper cites MAGE: Machine-Generated Text Detection in the Wild.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection MAGE: Machine-Generated Text Detection in the Wild

Reference 2

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source=pdf_text observed=2026-08-10T21:48:40.421099Z digest=sha256:c923895dcbc776fdd464ea93db20f1ba3496651f6296532ddaee1b7ed58a6172

Observation 3e80f1eb-39a5-4db3-8c20-46aefc0bae20 · outbound

This paper cites M4: Multi-Generator, Multi-Domain, and Multi-Lingual Black-Box Machine-Generated Text Detection.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection M4: Multi-Generator, Multi-Domain, and Multi-Lingual Black-Box Machine-Generated Text Detection

Reference 3

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raw_fallback, observed 2026-08-10T21:48:41.282486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.425660Z digest=sha256:ba9d15c9a2414005923c21fbd207c5f9a534cb92d131e933cfe43b67203522c0

Observation ff71afdf-e34a-4d2c-b38a-f15ff83aeb5d · outbound

This paper cites RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors

Reference 4

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source=pdf_text observed=2026-08-10T21:48:40.430801Z digest=sha256:e350476b800f7d44ae2886ab49469a5008a83967e98d0c48d00b0bf1477fb519

Observation 2c3dbbf0-0bda-430f-b7f5-4e42a1057f0d · outbound

This paper cites Spotting LLMs with Binoculars: Zero-Shot Detection of Machine-Generated Text.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Spotting LLMs with Binoculars: Zero-Shot Detection of Machine-Generated Text

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.435244Z digest=sha256:ed7635aefc8f918e51a0104887e7321ced789216287c8028862a68466cc8d04e

Observation 05b92501-59a6-4ea3-887f-eaed1774a5a2 · outbound

This paper cites DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text

Reference 6

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source=pdf_text observed=2026-08-10T21:48:40.439462Z digest=sha256:d7e4db59927b691113c19e482411637fca63552bdce00f3deac5dc9188256ea0

Observation a775e63c-7522-47f2-96e8-5ce273289d1a · outbound

This paper cites DetectGPT: Zero-Shot Machine-Generated Text Detection Using Probability Curvature.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection DetectGPT: Zero-Shot Machine-Generated Text Detection Using Probability Curvature

Reference 7

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.443498Z digest=sha256:137b91c255cfba91b132f98022dd826c7be1c918a8c83cc37cf6ce3ba8a4a70a

Observation f1d7187a-0780-41ab-966c-a3c213de870b · outbound

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

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Unsupervised Cross-Lingual Representation Learning at Scale

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.447238Z digest=sha256:93a61038f4ad04016ce268925dc3e4dd75f0f891cd08dcbda20fc611b0ca93fe

Observation 95a34514-553a-4367-8eef-afa55f5b85de · outbound

This paper cites A Watermark for Large Language Models.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection A Watermark for Large Language Models

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.455895Z digest=sha256:3b634554a95ab6cf7f2e7c62dac4deec1a3a63bef3ee4dbdb101bc7a1270d6d3

Observation 98688589-ad74-427c-ba34-df3f6dd3c563 · outbound

This paper cites Paraphrasing Evades Detectors of AI-Generated Text, but Retrieval Is an Effective Defense.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Paraphrasing Evades Detectors of AI-Generated Text, but Retrieval Is an Effective Defense

Reference 10

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.460207Z digest=sha256:fafc626a2995068758d1fbf53cd927e170fd90e036b789a8050b33670f34807b

Observation 68161203-3e55-4207-a727-46ee368db0be · outbound

This paper cites M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection

Reference 11

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source=pdf_text observed=2026-08-10T21:48:40.465854Z digest=sha256:ff643240f2178a245ef78ce6d836d5f472845cbaaafc67ad3543b66c2863e37e

Observation 95085653-b4ca-4678-b351-138bd0c0de67 · outbound

This paper cites Overview of the “V oight-Kampff.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Overview of the “V oight-Kampff

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.471190Z digest=sha256:f073cc3a40d7ff12a6e112585eac375cc04dcf0cac5ba689aaf9a7ea4a40e35e

Observation ca236790-616b-44af-837f-d7836cfd0b5a · outbound

This paper cites TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Reference 13

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source=pdf_text observed=2026-08-10T21:48:40.475803Z digest=sha256:02ebbcf9084783bec304630699aa1e506a40ce4f5f99f29673886d3510057d96

Observation 19dec830-2ccd-44c1-a051-3869bca178e4 · outbound

This paper cites Ghostbuster: Detecting Text Ghostwritten by Large Language Models.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Ghostbuster: Detecting Text Ghostwritten by Large Language Models

Reference 14

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source=pdf_text observed=2026-08-10T21:48:40.480091Z digest=sha256:89fd5e0a0d0b113d04c2c1bd9ecf09360da91755155bd736bc194f1c6fdf9684

Observation 57f19c82-c4ab-462e-928f-5a1db696adab · outbound

This paper cites How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection

Reference 15

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source=pdf_text observed=2026-08-10T21:48:40.484320Z digest=sha256:8eb9501ecd1e3d3ce385a8bf419456b8326b9571a87ad112422d6eca7ed958f3

Observation d1f06ab0-71c4-401f-88cc-8058637dd6d5 · outbound

This paper cites Openai/Gpt-2-Output-Dataset.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Openai/Gpt-2-Output-Dataset

Reference 16

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raw_fallback, observed 2026-08-10T21:48:40.968839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.489467Z digest=sha256:eb3cbaa2380b4b2ce518342d41650be405a7728977cbf181f25b3df7257dd683

Observation 8f947b2c-7c69-43f7-a6bf-3003d9cdf9e9 · outbound

This paper cites On the Reliability of Watermarks for Large Language Models.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection On the Reliability of Watermarks for Large Language Models

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.493492Z digest=sha256:470fa3f68b3790211b0fbc6e5cc4ad3bab47ff8a84289879cb985647c65cb1c8

Observation 5f39102f-13e9-4810-b533-0e3378af7296 · outbound

This paper cites GLTR: Statistical Detection and Visualization of Generated Text.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection GLTR: Statistical Detection and Visualization of Generated Text

Reference 18

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source=pdf_text observed=2026-08-10T21:48:40.497593Z digest=sha256:03e810b69dbd4492da9b9746da097cce2dfe3868f28780f46538c9828dc8a413

Observation ffaa6bf6-26d8-4602-95d7-da83a507f922 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.505792Z digest=sha256:59bb023014dec8d4b7a14bffda4fbe398f7964dc053186581072e91d25102b4a

Observation d1b31c28-0446-44d3-b2fd-98d6a18247d6 · outbound

This paper cites Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature

Reference 20

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.509653Z digest=sha256:318a588ec812d67fe8e11e6b5691f99413110db56357c67cd2f1a7421c2888f0

Observation 7754473c-170d-4642-835a-3d2ee939f24f · outbound

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

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding

Reference 21

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source=pdf_text observed=2026-08-10T21:48:40.513330Z digest=sha256:d8d65ec773de9e25f082723d504c8c90b281afead446c37d9caaaa161f1304a1

Observation 9cef735d-e2c6-4a92-ab2f-c03cb417681d · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 22

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source=pdf_text observed=2026-08-10T21:48:40.521716Z digest=sha256:523e476c49d5605476935625133e5df42d13a6c04d4419301bcf8b08f52a8963

Observation 008322c2-71f1-4c99-8986-1117c3f7162b · outbound

This paper cites RADAR: Robust AI-Text Detection via Adversarial Learning.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection RADAR: Robust AI-Text Detection via Adversarial Learning

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.526370Z digest=sha256:dbe47615c9e50e80bdffda69ceef1de9478761036ea75ecb06115e3593b55927

Observation 65d7def3-2197-431e-8fa5-625a547815bb · outbound

This paper cites Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-Tuned Contrastive Learning Detector Would Be Better.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-Tuned Contrastive Learning Detector Would Be Better

Reference 24

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doi, observed 2026-08-10T21:48:40.646613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.530670Z digest=sha256:0125e8525bedcfd378c27d5c731ece225cc256a21c6305ab045dcadd9df92da0

Observation c8a4f062-1aec-4242-a9de-576b22504950 · outbound

This paper cites YAKE! Keyword Extraction from Single Documents Using Multiple Local Features.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection YAKE! Keyword Extraction from Single Documents Using Multiple Local Features

Reference 25

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source=pdf_text observed=2026-08-10T21:48:40.536482Z digest=sha256:26b1d8b75bcae12e61b3c43235aa829c9862dd79800ab520bc2124d2b758feb9

Observation 2da93100-0268-4304-96a6-bd1308bc3f34 · outbound

This paper cites DeTeCtive: Detecting AI-Generated Text via Multi-Level Contrastive Learning.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection DeTeCtive: Detecting AI-Generated Text via Multi-Level Contrastive Learning

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.541208Z digest=sha256:3d7abc871db2e0b315fa70cad8dcbd722280e7346e965ef7e85b77eb144df69b

Observation 998bb15b-ce29-464b-9766-ba1a9a606b89 · outbound

This paper cites Fighting Fire with Fire: Can ChatGPT Detect AI-Generated Text?.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Fighting Fire with Fire: Can ChatGPT Detect AI-Generated Text?

Reference 27

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source=pdf_text observed=2026-08-10T21:48:40.545096Z digest=sha256:8a850d1fc207925d52111f0842be7375f998ea51f6f1534bc92d20e24aac9765

Observation 69f1862a-e3e8-4866-8eda-d2fea8c6aa1c · outbound

This paper cites OUTFOX: LLM-Generated Essay Detection through in-Context Learning with Adversarially Generated Examples.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection OUTFOX: LLM-Generated Essay Detection through in-Context Learning with Adversarially Generated Examples

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.548976Z digest=sha256:2f992b3bfc0134e397b31c6ff3943a1b572dbe07c0df359811602c94c0bb578f

Observation 3b503b49-16ef-4942-9d03-db4decc6e27c · outbound

This paper cites Learning to Rewrite: Generalized LLM-Generated Text Detection.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Learning to Rewrite: Generalized LLM-Generated Text Detection

Reference 29

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source=pdf_text observed=2026-08-10T21:48:40.553482Z digest=sha256:0ec2dcf2e50292a34820bc11e0be7cdc156b21f70def0a1c014bfb1a9cb8dc55

Observation 1840e0e3-7c1b-4897-a986-913b02eda0f8 · outbound

This paper cites Radford et al.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Radford et al

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.558334Z digest=sha256:7286631ec82e169f7cf2fca1d578dd44aec55c3efb6eda8861cca21c5934e3b9

Observation b1fc3349-c77d-4b97-976a-6e44e5004205 · outbound

This paper cites The Llama 3 Herd of Models.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection The Llama 3 Herd of Models

Reference 31

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source=pdf_text observed=2026-08-10T21:48:40.562379Z digest=sha256:e4911a9e6fdfdc0101d9e85511cf834053a2443a420f9d088ac01a3456b711b7

Observation 417a4515-b3e2-489d-a829-cdfaa0c24322 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection The Curious Case of Neural Text Degeneration

Reference 32

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raw_fallback, observed 2026-08-10T21:48:40.847926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.566386Z digest=sha256:e197dad2cd3e25cb2fa0960b5828aa32461ec06f44c87e12c4c05ea947285616

Observation fdbf4222-0f6d-43c5-9104-c9c12f3ddb28 · outbound

This paper cites Bag of Tricks for Efficient Text Classification.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Bag of Tricks for Efficient Text Classification

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.571180Z digest=sha256:3c21466b06042a17eea52966c531b911c88ea66386b45bcd4bdffaefc8b602c2

Observation 4090a338-a691-4a73-b4cf-d72fd86ffedd · outbound

This paper cites Longformer: The Long-Document Transformer.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Longformer: The Long-Document Transformer

Reference 34

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source=pdf_text observed=2026-08-10T21:48:40.576131Z digest=sha256:d674b90c91b3c2c61ae03235deaa6399ea0d475c86a2dcbb3f3e74a640d7e58a

Observation 500fff2e-67ae-42f6-84d1-51d3ad2509d2 · outbound

This paper cites LLMDet: A Third Party Large Language Models Generated Text Detection Tool.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection LLMDet: A Third Party Large Language Models Generated Text Detection Tool

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:48:40.823508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.580596Z digest=sha256:c3cf2f7ec8bdddb95f3a9530a9c0b696e8c077260fd85479c2f791425e4b37d9

Observation 769febf2-a3f3-4918-91c5-42e63205bf74 · outbound

This paper cites 19 Perplexity Attention Weighted Networks for AI generated text detection.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection 19 Perplexity Attention Weighted Networks for AI generated text detection

Reference 1423

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:48:40.912407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.516971Z digest=sha256:12fbcad0265bbd99ef6e6255e7c9bbd5ca661fdba91f3a7c38733d48f1da353a

Observation 49f6e774-f34a-43fe-930a-f9c2fdf7b37e · outbound

This paper cites an unresolved cited work.

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection Unresolved cited work

Reference 3019

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:48:40.947252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:48:40.501660Z digest=sha256:1ee056f3112fabbccc3ab7085682f75001a81042c793b943905649a9ec1fa9a8

Observation d2a2caa1-5361-4b6f-9b83-545522229581 · outbound

This paper cites URL: https://www.aclweb.org/anthology/2020.acl- main.747 (visited on 12/13/2024).

Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection URL: https://www.aclweb.org/anthology/2020.acl- main.747 (visited on 12/13/2024)

Reference 8451

Resolution
unresolved
no resolver link, observed 2026-08-10T21:48:40.451916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:48:40.451916Z digest=sha256:0264ec03f9562f43880a57d5431f56110469522237c233dfee381a265fb72a6e

Pith citing papers

Observation 8412a5cf-e563-4fe2-b39a-5b3ca2ebbb76 · inbound

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models cites this paper.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-01T05:52:41.504404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:52:41.504404Z digest=sha256:c710a7378772904ce2e5a7a35937cd7ff94b4fc1f24d0406ed37e0dfd25bcef8