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Paper Citation Record · LEDGER

Sustainable Digitalization of Business with Multi-Agent RAG and LLM

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2502.15700.

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

pith.paper-citation-record.v1
2502.15700 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:05:16.275303Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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 exact0
  • verified fuzzy25
  • unresolved12
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e34f8ab-ba35-462e-8c74-5ac8fc495063 · outbound

This paper cites User-driven innovation in Poland: determinants and recommendations.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM User-driven innovation in Poland: determinants and recommendations

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 52700f5c-5260-45eb-a6f8-5894844c020e · outbound

This paper cites The effects of a first -time experience on the evaluation of battery electric vehicles by potential consumers.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM The effects of a first -time experience on the evaluation of battery electric vehicles by potential consumers

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.427410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fbc50de6-5f96-46dd-b07d-cdcc0767f9c4 · outbound

This paper cites Innovation in traditional handicraft companies towards sustainable development. A systematic literature review.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Innovation in traditional handicraft companies towards sustainable development. A systematic literature review

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.391934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 84a5084a-1f96-4d85-8cba-dca60f078d66 · outbound

This paper cites Digital transformation: An overview of the current state of the art of research.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Digital transformation: An overview of the current state of the art of research

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.359427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1446d7da-1903-4f95-b361-3ae8f2915b8b · outbound

This paper cites Models of information processing in the brain.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Models of information processing in the brain

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.333383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.050003Z digest=sha256:279b6b1f4f2c3243b6f5e3dee82bdf6eb9ee54a10aa038f8ca261a2d5487ce72

Observation 82a5ef2e-0202-4948-8b4c-b17fe4d8202a · outbound

This paper cites Striving for the United Nations (UN) sustainable development goals (SDGs): What will it take?.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Striving for the United Nations (UN) sustainable development goals (SDGs): What will it take?

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.305437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.055585Z digest=sha256:9faf30526e8612452db4d533915668cfaf4a276432d5556c17a9a046f0b1659b

Observation 2e2d4f85-85cb-46e1-a7da-49802d25da55 · outbound

This paper cites Sustainability.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Sustainability

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.283477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.061858Z digest=sha256:bac9b2d19f5eedd8bfcefc8bfff76df6b0f557fd089b6872d32b226a0b297dd1

Observation b8a32328-0a74-4261-8295-d2ec4db31144 · outbound

This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM A survey on large language model (llm) security and privacy: The good, the bad, and the ugly

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.257082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.067269Z digest=sha256:97248094d6a8c68aa4e0ae0d0f1c7f3c25c2efcd1186741abaf82b237b0e69e7

Observation 497e16fa-0f06-4a6c-b5de-b98af6fc25c5 · outbound

This paper cites A survey on evaluation of large language models.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM A survey on evaluation of large language models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.231601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.072741Z digest=sha256:2ea871658f1eb2812bc48541f7cdfbbe0fdcf36fc557e017adf62aa2e0b95f0b

Observation dca747c1-80c3-4ed7-a2b1-b2a717f47395 · outbound

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

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Retrieval- augmented generation for knowledge-intensive nlp tasks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.193345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.078081Z digest=sha256:b5518d7ac9292c7aada23e8c773bb897477b580347fcdd311cf82f19eaeab155

Observation 679b1ea6-eec3-4044-b272-f43d77f6d976 · outbound

This paper cites Autogen: An automated dynamic model generation framework for recommender system.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Autogen: An automated dynamic model generation framework for recommender system

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.163883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3b5b7715-e261-42f1-8c85-0a4c47fffd9d · outbound

This paper cites https://www.crewai.com/ (Last accessed: 15/05/2024).

Sustainable Digitalization of Business with Multi-Agent RAG and LLM https://www.crewai.com/ (Last accessed: 15/05/2024)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.135448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.090040Z digest=sha256:3072d4e650bfb47174bd5a9386d7dea0f6f2fc3b5f03441187af9af5d3e5c8b1

Observation f062b69c-1cdd-44f1-85f8-cbb5a0124ac4 · outbound

This paper cites (2008) Information extraction.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM (2008) Information extraction

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.106738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.095957Z digest=sha256:986ce0f942b08d7a8862353de24e8ba8555400e54496ada2bf44f7d79c67751f

Observation f29b590c-caed-4971-9e03-fe8d2281cb52 · outbound

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

Sustainable Digitalization of Business with Multi-Agent RAG and LLM BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:16.101218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:16.101218Z digest=sha256:25b64c11bb2662ad3e49119c13dca740b342d6ca574b36a92c2a396cfe67da73

Observation d1537adf-7339-4df5-ab4f-63b645be32b7 · outbound

This paper cites Generative Pre -Trained Transformer (GPT) in Research: A Systematic Review on Data Augmentation.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Generative Pre -Trained Transformer (GPT) in Research: A Systematic Review on Data Augmentation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.084242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.106684Z digest=sha256:82912d4b8d051e96645e7f1fd7a440f4d24aa2a2facce3983d4aa11e1763fa53

Observation e88fb5d2-0393-48d6-8ba8-7a8b7b816b08 · outbound

This paper cites Improving information extraction on business documents with specific pre - training tasks.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Improving information extraction on business documents with specific pre - training tasks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.060562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.111955Z digest=sha256:22dff00c9c7e2227edaa74a32f287186858df73794c8fe96d4e9dcd6d6ff9b10

Observation 31bbe925-97e3-4b36-aa7e-2abc0eb30eb5 · outbound

This paper cites Information Extraction from Business Documents: A Case Study.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Information Extraction from Business Documents: A Case Study

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.038823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.118307Z digest=sha256:36540ee61a559ee7f5228493bfa1c88a4ce063f5ca7c2563a3abbf8d9a4ebe74

Observation 432e9e90-b352-46ec-bbd9-dab2f89e36bf · outbound

This paper cites Information extraction from invoices.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Information extraction from invoices

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:17.013672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.123745Z digest=sha256:596bc1243aef10eabf32feaaaa76973e473235dd08585bb3ac74c39bfd89dd00

Observation a588fb00-3e10-411a-b2b1-003973398811 · outbound

This paper cites Aurora: An information extraction system of domain -specific business documents with limited data.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Aurora: An information extraction system of domain -specific business documents with limited data

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:16.994646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.128783Z digest=sha256:02d44330da43b0b34dcb74aaec0eb41c0a967fdacab6f43f93e74c50f9f699cc

Observation 6b8a6612-64a6-4077-b83c-99c7ec45be7a · outbound

This paper cites an unresolved cited work.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:05:16.970444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7bc8990e-7ef0-41be-a785-73eff8cbd8d4 · outbound

This paper cites Automatic information extraction in business document.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Automatic information extraction in business document

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:16.949357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.142207Z digest=sha256:909d5f6711609581a563daff78822b0a15d22953fcfbb80980cafa436d2acae9

Observation 6dc35ee2-d4d8-4fff-be28-f7d765189645 · outbound

This paper cites Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:16.153089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:16.153089Z digest=sha256:b898ee2a028f53aa47021144c7c2d6db204c1c526b3d6708085f465947c44bf1

Observation 2cb1cc70-f1e4-4d0f-9c28-55cdad4200fc · outbound

This paper cites SENTiVENT: enabling supervised information extraction of company -specific events in economic and financial news.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM SENTiVENT: enabling supervised information extraction of company -specific events in economic and financial news

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:16.903153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 305485ff-adae-4ff3-bd44-6f5052176c03 · outbound

This paper cites E., Gera, A., Toledo -Ronen, O., Halfon, A., Sznajder, B., Dankin, L.,.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM E., Gera, A., Toledo -Ronen, O., Halfon, A., Sznajder, B., Dankin, L.,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:16.879584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c9cac4cb-cf1c-4d25-86fc-0b4fe92c28ea · outbound

This paper cites Prediction of news popularity via keywords extraction and trends tracking.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Prediction of news popularity via keywords extraction and trends tracking

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:16.857750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.180132Z digest=sha256:6dc1e4490e3152159f79cb0b02b3d885d619ddfaf6b2290252634e2bf2ea534f

Observation d07fc618-c62f-415f-9228-2c781e65507e · outbound

This paper cites Kpi-bert: A joint named entity recognition and relation extraction model for financial reports.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Kpi-bert: A joint named entity recognition and relation extraction model for financial reports

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:16.836232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1ab8b9d6-0c53-48e5-a7c8-65fd5533d5ec · outbound

This paper cites an unresolved cited work.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:05:16.814456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f9a4c3f4-0970-4238-94fc-8fbadecfc10e · outbound

This paper cites Extracting Business Insights through Dynamic Topic Modeling and NER.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Extracting Business Insights through Dynamic Topic Modeling and NER

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:16.791692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.204830Z digest=sha256:f6ba270dce8a7f5fe8eee28360dbf0e0153cc42bc1e15e225f95937dd9ec3298

Observation 49aef4b2-6332-44e4-ad85-654c35d87d2f · outbound

This paper cites an unresolved cited work.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Unresolved cited work

Reference 29

Resolution
parse uncertain
raw_fallback, observed 2026-08-10T22:05:16.768674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.213128Z digest=sha256:cdf9bb44a1a644e58841849fff773770e193b87acbd9a8054e73a76ad378ec25

Observation 3e1cbad2-1ad8-489d-a0bd-91946447c7aa · outbound

This paper cites Camel: Communicative agents for.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Camel: Communicative agents for

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:05:16.743520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.219856Z digest=sha256:0ee931a0337dc8774da7a011eae353b7fd832eb74173fa14da22ce61277c10a9

Observation 16d826f8-4f1d-4352-babb-72bca9a8ef7a · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:16.226805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:16.226805Z digest=sha256:995574732ae1fd0974bd85ae9a58f7f02a3f69eb35fb0131f1860fdd6d5687c8

Observation f5556b12-c796-4c2b-a88e-f9fdde51dcb5 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:16.233635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:16.233635Z digest=sha256:bd946cf28f0816a647af32cadcd3cfafcfa39b11da0ef6b7aa4fdad7d208915d

Observation 5c6e44ce-1765-4213-9057-2854c25fee6b · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:16.240194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:16.240194Z digest=sha256:ea4064d33d6b26840b5e1de055d2d95dee8d12647c31790cf6de60b2cd690318

Observation 2ac2f55e-e9d9-4f6e-b556-9292a5644abd · outbound

This paper cites an unresolved cited work.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-10T22:05:16.719702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:05:16.247033Z digest=sha256:47bcd273871f5f51cb7f7652c80cc8032dff6b4187ccac343e41975f8e653d43

Observation 51c188a3-2109-4c28-bc27-496ff59f60fb · outbound

This paper cites GPT-4 Technical Report.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM GPT-4 Technical Report

Reference 35

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unresolved
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source=pdf_text observed=2026-08-10T22:05:16.253182Z digest=sha256:7557b12a75d7a7e84c189766ef5760505c683f5c68b950b873d064d6d57cdfaa

Observation f3a35191-c77d-4598-b316-04b22580f739 · outbound

This paper cites Large language models for information retrieval: A survey.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Large language models for information retrieval: A survey

Reference 36

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source=pdf_text observed=2026-08-10T22:05:16.261895Z digest=sha256:140d18d843f81c39e8ed71286267f76f25eac15d35156103a6ad7f6e0e10b63a

Observation e0d5e77b-e2ce-48f8-bfa2-c2aa58ebaf7e · outbound

This paper cites Power Hungry Processing: Watts Driving the Cost of AI Deployment?.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Power Hungry Processing: Watts Driving the Cost of AI Deployment?

Reference 37

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no resolver link, observed 2026-08-10T22:05:16.268937Z

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source=pdf_text observed=2026-08-10T22:05:16.268937Z digest=sha256:9af0f2849aa1dc38115dbeb16a8f37368d2719f5bfa877d788310ecfcb498460

Observation 86b052ad-1aef-48b7-8596-7020def18ee2 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Sustainable Digitalization of Business with Multi-Agent RAG and LLM Carbon Emissions and Large Neural Network Training

Reference 38

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Pith citing papers

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