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Paper Citation Record · LEDGER

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent

As of 14 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 3 inbound Pith citation observations for arXiv:2412.18100.

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

pith.paper-citation-record.v1
2412.18100 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:05:51.337351Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:38.535283Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:15:38.681479Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy15
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 349b45d1-248c-4c2a-a29b-355f2816c2d7 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Retrieval-augmented generation for knowledge- intensive nlp tasks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:52.015446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.134137Z digest=sha256:7ef5744f716b02e1ad916e2e59411b5417bb3cd9e5bc28b92841a4d5da2b6eed

Observation 781a4048-0cca-4b42-848a-052bada9620a · outbound

This paper cites GPT-4 Technical Report.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent GPT-4 Technical Report

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.140313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.140313Z digest=sha256:3fbeba657dd4332870c31a973d0353016f24e9d34bb3122f2eb7eeb9b805ce34

Observation 5822b6eb-948e-41bc-89aa-0d42411a84bf · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.145940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.145940Z digest=sha256:460ba023a00f068f15005440ba94780f11ad177f3e1d935fae27f52d6764ca5f

Observation b2ff15de-1a64-4189-8955-c6fe9b1594cd · outbound

This paper cites From sparse to dense: Gpt-4 summarization with chain of density prompting.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent From sparse to dense: Gpt-4 summarization with chain of density prompting

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.991486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.153327Z digest=sha256:a5bf5fcc613c95bd855933da7f82b0e7a4da678dff85a486c954ca85e5f0d685

Observation e5f52f59-b389-4bfc-99d8-0c700cd85fa8 · outbound

This paper cites Training language models to follow instructions with human feedback.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Training language models to follow instructions with human feedback

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.159686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.159686Z digest=sha256:7b315276042652c82c5725fc958970dfe6f9ec39d13bb69b63483090a76b1773

Observation 2576d0f4-1db5-4d1c-b66c-2c5f77a1a86e · outbound

This paper cites Patent classification by fine-tuning bert language model.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Patent classification by fine-tuning bert language model

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.954590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.165763Z digest=sha256:5c318656f05296d6937101e6f1d2266ebdaef4f75730cbafb404dce71852d716

Observation 45cba03a-3acf-4eb9-abbf-eec5a2327192 · outbound

This paper cites Automatic summarization of scientific articles: A survey.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Automatic summarization of scientific articles: A survey

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.934462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.178479Z digest=sha256:1e4f750fbfca531f40099fc36346c66edbede96d282ff9d63c591a7d8aa146be

Observation fc88453a-4aaa-47b4-a8c1-d6a7732d6ab7 · outbound

This paper cites Bridging Research and Readers: A Multi-Modal Automated Academic Papers Interpretation System.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Bridging Research and Readers: A Multi-Modal Automated Academic Papers Interpretation System

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:05:51.608380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.185037Z digest=sha256:658d79bb345da63bbd4bf01e1f8cc2cebc67aa673a84cdee25ab8062b7af310d

Observation 0c1f8d02-1f66-4ae6-9854-d7fc54ac5acc · outbound

This paper cites SciPIP: An LLM-based Scientific Paper Idea Proposer.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent SciPIP: An LLM-based Scientific Paper Idea Proposer

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.191296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.191296Z digest=sha256:84aa395ac4d36a5f1e71e7807d080b21c05d96839da41c526924a2a9285e39d0

Observation ddacf968-7f4a-4fcc-a989-55724f03b118 · outbound

This paper cites Natural Language Processing in the Patent Domain: A Survey.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Natural Language Processing in the Patent Domain: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.197585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.197585Z digest=sha256:d1f0d8c31940a7f87b4a8808d284c4885ab828d4146c52e1cbed49379c472693

Observation 277e181c-0f9c-43d4-8b5b-57677c821b50 · outbound

This paper cites PatentGPT: A Large Language Model for Intellectual Property.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent PatentGPT: A Large Language Model for Intellectual Property

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.204234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.204234Z digest=sha256:bca15f4cb083f65b0bf0e219fe1c81eddb8e8a779f709016ff1f63633dc7c10f

Observation 9fe251a9-d859-4d22-bad8-98c5b44329d4 · outbound

This paper cites Llm-based extraction of contradictions from patents.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Llm-based extraction of contradictions from patents

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.912888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.211909Z digest=sha256:dcbbaeb577a58c4013168bb5b5f5d9265c748ef29af3dd32a3df5cf6b8808cca

Observation f41808a6-e0cd-4cfc-8a26-8e7f0f200a8b · outbound

This paper cites Markdown: Syntax documentation.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Markdown: Syntax documentation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.888795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.217968Z digest=sha256:14f968cd1e9322b5a83bd40d0f822aca15756280f05bbe9d37c2a1e3d46eff5a

Observation 1b40f25b-874e-458c-a815-85d83b3ccc3a · outbound

This paper cites pdfplumber: Extract text, tables, and metadata from pdfs.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent pdfplumber: Extract text, tables, and metadata from pdfs

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.870416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.225004Z digest=sha256:bd9fb3bfacba216cfe6dec1b8101091a05196c6e10518581f1ea47d7aec0a4fe

Observation 8d3928bc-f77e-49dd-85ba-c0f7f0bfb5fd · outbound

This paper cites https://python.langchain.com/docs/integrations/ document_loaders/pypdfloader/.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent https://python.langchain.com/docs/integrations/ document_loaders/pypdfloader/

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.850154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.232407Z digest=sha256:ec9b208d8beeb6214c84a31aea7024bbc5087f28ed29e3a014f14caf027f0182

Observation 709ce81d-3ef6-4b1d-a108-69d07fbe1870 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.239320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.239320Z digest=sha256:e4a3e7d5c1f16bcd695e88a758d444dff94c21b74d445f60755f0c2e265f4763

Observation f8d88ffc-6837-43f7-b33c-76c83e718c83 · outbound

This paper cites Billion-scale similarity search with gpus.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Billion-scale similarity search with gpus

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.246247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.246247Z digest=sha256:b5fd8b194bf8cafe8426d0a042c39d437cce536062c7077f99e1f1abd03a0757

Observation 0bce18d0-2042-4ebf-9fa2-c038e79fda51 · outbound

This paper cites https://www.meta.com/.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent https://www.meta.com/

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.820495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.253866Z digest=sha256:b7597bf5ea50dba4ec027e0ce918d74c3c3acc557cdbb2f9a3b2d15799b2357c

Observation 22ddf601-852c-4c97-b3c4-b1e40cce2a02 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.261048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.261048Z digest=sha256:a2d2b37efe74c3666fa0c343d0df57959865b62614c8de512c6e3be6533b4b58

Observation 6108fa53-a800-42be-9fb5-fa42c178d672 · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.267386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.267386Z digest=sha256:d65e2c1fd11bebe116f36bb5b43b5810d26a81023e8baf40941c9511d88c3abe

Observation 6faed145-86f6-4cad-9d93-a89df70960e1 · outbound

This paper cites Language models are unsupervised multitask learners.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Language models are unsupervised multitask learners

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.274325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.274325Z digest=sha256:45d69927a2e24f796634169876e2e71a1f6d0a2dccc4687d570cded303bfac87

Observation 9a814a92-9616-4bf0-b2cb-ea1e2c50bd52 · outbound

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

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent LLaMA: Open and Efficient Foundation Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.280275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.280275Z digest=sha256:d9767c75383e4592c5fb71af17f801e144af42a48dcf77a26f09c8736672985a

Observation 57bfda4e-e30d-4760-a447-f31bc4403c9f · outbound

This paper cites https://openai.com/.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent https://openai.com/

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.285699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.285699Z digest=sha256:556965b20d82d0d8d35ffedb4313ba3076b7cd6f50ad823d9cb8b5f553b473d3

Observation 5df00578-9fe7-4484-94cd-1df477f1139f · outbound

This paper cites https: //patents.google.com/patent/US20170263445A1/en?oq=US20170263445A1.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent https: //patents.google.com/patent/US20170263445A1/en?oq=US20170263445A1

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.771545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.291618Z digest=sha256:dc2eca39986feac17bac105e2d2fc3ad5a51239e49172934e2abd4affa2cf73f

Observation 67b13a85-b38a-450c-9b28-90fe49191585 · outbound

This paper cites https://patents.google.com/.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent https://patents.google.com/

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.750100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.297675Z digest=sha256:8ac13a36edb7a3c7dcef47874bf023ef0a9d13edece83f380d58cecfe60db79e

Observation 758f7200-d0b6-4629-9130-49e992f98f71 · outbound

This paper cites https://www.semanticscholar.org/.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent https://www.semanticscholar.org/

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.729364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.302789Z digest=sha256:3f390797b397ddd3985ef5168eb0fa6340f2c30b4bc2925624754e3c6cb6428f

Observation 2c344f2f-ce81-4e8c-b252-4cc445f8f65e · outbound

This paper cites SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.307773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.307773Z digest=sha256:72ecc367de2a670fb47742d300dedf013e2d582f94256e7573626a1968c108f1

Observation 620957f9-ef1c-4f68-b55d-cb854e68a90d · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Rouge: A package for automatic evaluation of summaries

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.706935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.313882Z digest=sha256:061bf60fe021f699a0c4918ae3538c6767c68edd0f05222a08da9c71ec2f22c7

Observation 826c85d5-d6f6-41f8-a902-64008d845f5f · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent BERTScore: Evaluating Text Generation with BERT

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T05:05:51.319607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:05:51.319607Z digest=sha256:683368d9e4081d8b2abdf9dec31bfc79effa22cd18e18a27ab3b2ace8f565f21

Observation e9d78d02-9f7d-4d90-976d-342e12b61adf · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.685426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.325460Z digest=sha256:9b70c91312c947b2825f11d50692616f7b14da88e206e78701e671e8442861d8

Observation 5fa4adad-9195-4d25-84db-556bda2523df · outbound

This paper cites mFACE: Multilingual Summarization with Factual Consistency Evaluation.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent mFACE: Multilingual Summarization with Factual Consistency Evaluation

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:05:51.394229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.331326Z digest=sha256:951ebae1b611199769b3a510131764b22231a384d43e8b340bae2b28e94e5743

Observation 54dcbb71-2ad7-4672-820f-ebda13fc66c5 · outbound

This paper cites source pdf.

EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent source pdf

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:05:51.665932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:05:51.337351Z digest=sha256:ed5300b344b169e3d83d2b40eda8cf24d7752f4830b6416d472895ed9be7d7ba

Pith citing papers

Observation cdeb7334-01e5-4045-bb52-70c6003f2e56 · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent

Reference 285

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:38.535283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:38.535283Z digest=sha256:f69b17b9a2d562ee43eb0c8da225228069d3428ebbf6accc542ac4551d35bdfb

Observation 52251101-e342-4618-92a7-fa6431d4894a · inbound

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases cites this paper.

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:22.794070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:22.794070Z digest=sha256:c79fbca1832ed5371e33b548371955b5eaea4a2e2d0295b794c14b5cd78f5af7

Observation 82ce1e1c-f364-4f17-a857-93d6d89353ce · inbound

Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval cites this paper.

Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:15:38.683002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T18:41:19.441055Z digest=sha256:70f91c32d932660641d7f731cde308d69097472a55aadebc129869754e454489