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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 15 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 2026-08-15T06:32:42.880941+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=sha256:99c077b3fc0a25705673aa4676e95ff4c4b1a3580a50bee5da1976e92a47ed0e

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:a8fc35c2ec7524e18e37a67e2ec0101b1db8b39c80927fb8f26ec66ad7b847e3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.425660Z digest=sha256:996281a1e86163d381fa9111623ec28469cdd12766ebd069e99f086f25179f04

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=sha256:7a21d6bf819f6e0fe65d850e72f8e09768b396f4a0186316427a5ba1dbb60c49

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.435244Z digest=sha256:fec5bd3a9f3b2b43d8f18a85e293ee796ed18299e7a24950735c400b87d444de

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=sha256:823594f992db8a11a11689513511e99f8df28cf98150920e369f1f0c6a4a5290

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.443498Z digest=sha256:c2d58f1198424eb7bc9aace9da4d1c44db669b7175e40465401f6ca67054f882

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.447238Z digest=sha256:130e6c29894eeaa44b2d442d001d0e2f16e4d9914f60630883b22fc36d6539f8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.455895Z digest=sha256:718aea39707dc7dcbe89e485e8cfb206270b08b8fdf676331723bb90d60710a9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.460207Z digest=sha256:2cf5817cdb393daa6d70c64a3bb9d6d2aa21492ae027768137b86969e8eeb543

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=sha256:94d6a1192c4d3af3d58ebedd833054c58224759bef3a3ce97925cd34b0c44254

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.471190Z digest=sha256:25448d23bf0adc89696d2663a37139f6b3a377850837f8a0a747e0caa70b86a9

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:a5a2f98777c21e2121c4f0d66d22aa4193062d9c0ffec656b18e97b6b4878917

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=sha256:422258486446e7243904f885a5e5b07c2f43099eb8089c239803fbd33d5480c2

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=sha256:1dbfe266ab2b9c01e3ca0fb6df81a4ffc6f0cb8d301825690e1297feecc7b6d1

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.489467Z digest=sha256:0cbf5c551a462cd0db06018a798e554599cc8b67c30bcff3bb76e2fd701275ec

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.493492Z digest=sha256:8c2ea83dfed634a82d6e25c32a117d9431523011cc840a0bc5635db7925df233

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-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:48:40.497593Z digest=sha256:dd658be908d53b7233f771a28cee49d0cc974c83fbcaf142e54a24ba694224b2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.505792Z digest=sha256:356ffda9feaf53c0189d92785d05198c9f6275a515a6f282cc8fd7850d45e372

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.509653Z digest=sha256:8903b863d7fc2ba1d548d13d81d808969f9968d390198dfd1bc4c793a4d15580

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=sha256:228611812e9f1beea527d60b504cb6435c82419dcd3ff9a00702a5382112799e

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:c5f99121ef9a93b19bd5c8af555cbe6efdc85b8a36a4f29a5d2704525af355b3

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.526370Z digest=sha256:161d04d4a8fe97b50d4545f9f7351e0a5550ea2ec10c0ac7911d6665ad35f3f3

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.530670Z digest=sha256:07eeed820773ba3fb4c1827d361c5eb1d26570a0ccfcb0f5b7c7002e320ec6db

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:e5100a363aaa58008c0418fb44f1b327ac74a768e4c0ab85d0d8ec07aa4af2f6

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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raw_fallback, observed 2026-08-10T21:48:40.887872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.541208Z digest=sha256:4da0cedb1836896321e3c31bf5e030959284c51691b036b46e38ac36abbbc3ba

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=sha256:6a53ca90de2e970a4bd7ca903eda357bdd6460779fc0bbeca9f74da87159fa38

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.548976Z digest=sha256:fff7cd90a180ac988d5452dbe80295a16732ccf110ecda11e55b6540dbaa0f24

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:e896b4ed2943ae5ff99a2db0391a3e767c55b1854aa47f3d452a77288fd1ef41

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.558334Z digest=sha256:e2a1432848d5050f299f6e0d2bab9b0a0f90452f93f3f95cf77bcfbacb823554

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:b28e805f6efd290c6b0165bb97cb0254111a96c96eb56942a3b95113095fef71

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.566386Z digest=sha256:b45f3e4e2832a4aca1ee0cb6eec45729e41dd51330c2add07b99bee143251971

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.571180Z digest=sha256:b3267c0d15e78c258654c25df28758909b94b0c300079b4edb2790aef7d682ad

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:48:40.576131Z digest=sha256:1e8bc7bb6143afa1c72fb5dd66cb82959c4de0ab35a4bdb34e04f928353cbf74

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.580596Z digest=sha256:5e77b34f099aabf6288717ed0fdd281ffb6bee27a328ebea3bc4caaa48956ff5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.516971Z digest=sha256:250c2e9d3e601f63059a652908790ef47a19d43e6f2d512ae0c5a7f828aa1968

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:48:40.501660Z digest=sha256:c08e6af79bc1a773692dcb90b0a9c8eb85106bd5eec9ffbaf1af0a0c3afe6cc5

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=sha256:69a63bd00e1838ebee84c5e27910964dfa45245ba359eae8c2423dfe08a525a3

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:bf3b72a43e46fef2a597f833e9d57e8cf6273a964bc3ec2f2a40f8eb540f805a